ACM International Conference on Information and Knowledge Management (2022)

Content

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 659 papers

Workshops

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022 43 papers
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022 13 papers

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022

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Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022

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Adaptive Re-Ranking as an Information-Seeking Agent
Sean MacAvaney | Nicola Tonellotto | Craig Macdonald

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Bias mitigation in recommender systems to improve diversity
Du Cheng | Doruk Kilitçioglu | Serdar Kadioglu

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Conversational Information Retrieval using Knowledge Graphs
Pruthvi Raj Venkatesh | K. Chaitanya | Rishu Kumar | P. Radha Krishna

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Creating a framework for a Benchmark Religion Dataset
Deepa Muralidhar | Ashwin Ashok

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Deepfake Audio Detection Via Feature Engineering And Machine Learning
Farkhund Iqbal | Ahmed Abbasi | Abdul Rehman Javed | Zunera Jalil | Jamal Al-Karaki

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Developing a noise-aware AI system for change risk assessment with minimal human intervention
Subhadip Paul | Anirban Chatterjee | Binay Gupta | Kunal Banerjee

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Diversity enhancement for collaborative filtering recommendation
Yankai Liu

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Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
Georgios Drakopoulos | Eleanna Kafeza

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Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen | Daniel Hagenmayer | Tobias Weller | Michael Färber

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Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
Georgios Drakopoulos | Phivos Mylonas

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Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
Ali Behrouz | Mathias Lécuyer | Cynthia Rudin | Mango I. Seltzer

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Finding components of a good accuracy with XAI!
Benjamin Chamand | Olivier Risser-Maroix

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Graph Neural Networks For Affective Social Media: A Comprehensive Overview
Michail Karavokyris | Spyros Sioutas

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HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
Brendan Coon

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Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
Edwin Gamboa | Alejandro Libreros | Matthias Hirth | Dan Dubiner

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Human-Robot Interactions Using Affective Computing
Anthony Tzes

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Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Soniya Vijayakumar

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Item-based variational auto-encoder for fair music recommendation
Jinhyeok Park | Dain Kim | Dongwoo Kim

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Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin

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Offensive text detection across languages and datasets using rule-based and hybrid methods
Kinga Gémes | Ádám Kovács | Gábor Recski

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Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
Shiqui Liu | Dickson K. W. Chiu | Kevin K. W. Ho

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Privacy Amplification for Episodic Training Methods
Vandy Tombs | Olivera Kotevska | Steven Young

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Privacy and transparency in graph machine learning: A unified perspective
Megha Kosla

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Privacy policy robustness to reverse engineering
A. Gilad Kusne | Olivera Kotevska

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RecFormer: personalized temporal-aware transformer for fair music recommendation
Wei-Yao Wang | Wei-Wei Du | Wen-Chih Peng

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STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
Kyunghee Kim | Minha Kim | Simon Woo

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Shortcomings of Interpretability Taxonomies for Deep Neural Networks
Anders Søgaard

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Towards Mixed-Initiative Conversational Information Seeking
Hamed Zamani

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Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Tabish Ahmed | Sahan Bulathwela

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Towards a theoretical formalization of conversational recommendation
Tommaso Di Noia | Francesco Maria Donini | Dietmar Jannach | Fedelucio Narducci | Claudio Pomo

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Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
Wei-Wei Du | Wei-Yao Wang | Wen-Chih Peng

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Triplet losses-based matrix factorization for robust recommendations
Flavio Giobergia

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Want robust explanations? Get smoother predictions first
Deddy Jobson

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k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Devvrat Joshi | Janvi Thakkar

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022

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Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022

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A Two-Phased Approach to Training Data Generation for Shopping Query Intent Prediction
Gautam Kumar | Chikara Hashimoto

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Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Tesi Xiao | Xia Xiao | Ming Chen | Youlong Chen

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Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning
Osayande P. Omondiagbe | Sherlock A. Licorish | Stephen G. MacDonell

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Session-based Recommendation with Dual Graph Networks
Tajuddeen Rabiu Gwadabe | Mohammed Ali Mohammed Al-Hababi | Ying Liu

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TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li | Wei Shen | Denis Charles

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Implicit User-Generated Content in the Service of Public Health
Evgeniy Gabrilovich

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Ensemble Learning Methods for Dirty Data
Ling Liu

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Exploring and Analyzing Change: The Janus Project
Divesh Srivastava | Tobias Bleifuß | Leon Bornemann | Dmitri V. Kalashnikov | Felix Naumann

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How Hybrid Work Will Make Work More Intelligent
Jaime Teevan

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On Smoothed Explanations: Quality and Robustness
Ahmad Ajalloeian | Seyed-Mohsen Moosavi-Dezfooli | Michalis Vlachos | Pascal Frossard

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Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation
Manal A. Alshehri | Xiangliang Zhang

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UnCommonSense: Informative Negative Knowledge about Everyday Concepts
Hiba Arnaout | Simon Razniewski | Gerhard Weikum | Jeff Z. Pan

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KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning
Jose A. Ayala-Romero | Péter Mernyei | Bichen Shi | Diego Mazón

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An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
Runxue Bao | Bin Gu | Heng Huang

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Collaborative Image Understanding
Koby Bibas | Oren Sar Shalom | Dietmar Jannach

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DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner
Andreas Burgdorf | Alexander Paulus | André Pomp | Tobias Meisen

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Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation
Xiaoyu Cai | Yao Fu | Hong Zhao | Weihao Jiang | Shiliang Pu

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Contrastive Cross-Domain Sequential Recommendation
Jiangxia Cao | Xin Cong | Jiawei Sheng | Tingwen Liu | Bin Wang

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User Recommendation in Social Metaverse with VR
Bing-Jyue Chen | De-Nian Yang

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Learning to Generalize in Heterogeneous Federated Networks
Cen Chen | Tiandi Ye | Li Wang | Ming Gao

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Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
Hanxiong Chen | Yunqi Li | He Zhu | Yongfeng Zhang

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Towards Self-supervised Learning on Graphs with Heterophily
Jingfan Chen | Guanghui Zhu | Yifan Qi | Chunfeng Yuan | Yihua Huang

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Time Lag Aware Sequential Recommendation
Lihua Chen | Ning Yang | Philip S. Yu

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Task Publication Time Recommendation in Spatial Crowdsourcing
Xuanlei Chen | Yan Zhao | Kai Zheng

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Efficient Second-Order Optimization for Neural Networks with Kernel Machines
Yawen Chen | Yile Chen | Jian Chen | Zeyi Wen | Jin Huang

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Explainable Link Prediction in Knowledge Hypergraphs
Zirui Chen | Xin Wang | Chenxu Wang | Jianxin Li

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Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Yoonhyuk Choi | Jiho Choi | Taewook Ko | Hyungho Byun | Chong-Kwon Kim

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Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
Yoonhyuk Choi | Jiho Choi | Taewook Ko | Hyungho Byun | Chong-Kwon Kim

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AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution
Robin Cugny | Julien Aligon | Max Chevalier | Geoffrey Roman-Jimenez | Olivier Teste

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Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information
Jian Cui | Kwanwoo Kim | Seung Ho Na | Seungwon Shin

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Scaling Up Maximal k-plex Enumeration
Qiangqiang Dai | Rong-Hua Li | Hongchao Qin | Meihao Liao | Guoren Wang

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When Should We Use Linear Explanations?
Julien Delaunay | Luis Galárraga | Christine Largouët

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Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading
Zhongjie Duan | Cen Chen | Dawei Cheng | Yuqi Liang | Weining Qian

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Inferring Sensitive Attributes from Model Explanations
Vasisht Duddu | Antoine Boutet

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Higher-order Clustering and Pooling for Graph Neural Networks
Alexandre Duval | Fragkiskos D. Malliaros

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Federated K-Private Set Intersection
Ahmed Roushdy Elkordy | Yahya H. Ezzeldin | Salman Avestimehr

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Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models
Guglielmo Faggioli | Nicola Ferro | Norbert Fuhr

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Risk-Aware Bid Optimization for Online Display Advertisement
Rui Fan | Erick Delage

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MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring
Zekuan Fang | Fan Zhang | Ting Wang | Xiang Lian | Mingsong Chen

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Few-Shot Relational Triple Extraction with Perspective Transfer Network
Junbo Fei | Weixin Zeng | Xiang Zhao | Xuanyi Li | Weidong Xiao

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DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server
Congcong Fu | Hui Li | Jian Lou | Jiangtao Cui

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Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning
Zhiqi Ge | Yuanyuan Guan | Ximing Li | Bo Fu

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PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction
Pierre-Yves Genest | Pierre-Edouard Portier | Elöd Egyed-Zsigmond | Laurent-Walter Goix

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Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels
Walter Gerych | Thomas Hartvigsen | Luke Buquicchio | Emmanuel Agu | Elke A. Rundensteiner

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Spatio-temporal Trajectory Learning using Simulation Systems
Daniel Glake | Fabian Panse | Ulfia Lenfers | Thomas Clemen | Norbert Ritter

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Gromov-Wasserstein Multi-modal Alignment and Clustering
Fengjiao Gong | Yuzhou Nie | Hongteng Xu

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ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering
Kaiqi Gong | Xiao Song | Senzhang Wang | Songsong Liu | Yong Li

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Bootstrap-based Causal Structure Learning
Xianjie Guo | Yujie Wang | Xiaoling Huang | Shuai Yang | Kui Yu

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RAGUEL: Recourse-Aware Group Unfairness Elimination
Aparajita Haldar | Teddy Cunningham | Hakan Ferhatosmanoglu

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Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
Jinkun Han | Wei Li | Zhipeng Cai | Yingshu Li

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Rethinking Conversational Recommendations: Is Decision Tree All You Need?
A. S. M. Ahsan-Ul-Haque | Hongning Wang

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Stop&Hop: Early Classification of Irregular Time Series
Thomas Hartvigsen | Walter Gerych | Jidapa Thadajarassiri | Xiangnan Kong | Elke A. Rundensteiner

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Change Detection for Local Explainability in Evolving Data Streams
Johannes Haug | Alexander Braun | Stefan Zürn | Gjergji Kasneci

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Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables
Huarui He | Jie Wang | Yunfei Liu | Feng Wu

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Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction
Sebastian Hofstätter | Omar Khattab | Sophia Althammer | Mete Sertkan | Allan Hanbury

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Prediction-based One-shot Dynamic Parking Pricing
Seoyoung Hong | Heejoo Shin | Jeongwhan Choi | Noseong Park

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One Rating to Rule Them All?: Evidence of Multidimensionality in Human Assessment of Topic Labeling Quality
Amin Hosseiny Marani | Joshua Levine | Eric P. S. Baumer

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Memory Bank Augmented Long-tail Sequential Recommendation
Yidan Hu | Yong Liu | Chunyan Miao | Yuan Miao

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An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering
Sunghyun Hwang | Dong-Kyu Chae

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Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability
Dongmin Hyun | Chanyoung Park | Junsu Cho | Hwanjo Yu

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Discovering Fine-Grained Semantics in Knowledge Graph Relations
Nitisha Jain | Ralf Krestel

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Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge
Hyunsik Jeon | Jongjin Kim | Hoyoung Yoon | Jaeri Lee | U Kang

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Estimating Causal Effects on Networked Observational Data via Representation Learning
Song Jiang | Yizhou Sun

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Towards Federated Learning against Noisy Labels via Local Self-Regularization
Xuefeng Jiang | Sheng Sun | Yuwei Wang | Min Liu

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Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss
Xin Jin | Xia Sun | Jiacheng Chen | Richard F. E. Sutcliffe

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Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms
Carl Johnell | Morteza Haghir Chehreghani

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Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
Endri Kacupaj | Kuldeep Singh | Maria Maleshkova | Jens Lehmann

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Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth
Yilin Kang | Yong Liu | Jian Li | Weiping Wang

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Residual Correction in Real-Time Traffic Forecasting
Daejin Kim | Youngin Cho | Dongmin Kim | Cheonbok Park | Jaegul Choo

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FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim | Wonyoung Shin | Soohyuk Jang | Hwanjun Song | Se-Young Yun

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SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding
Sunoh Kim | Taegil Ha | Kimin Yun | Jin Young Choi

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MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation
Taeri Kim | Yeon-Chang Lee | Kijung Shin | Sang-Wook Kim

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Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection
Kaiting Lai | Yinong Long | Bowen Wu | Ying Li | Baoxun Wang

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Loyalty-based Task Assignment in Spatial Crowdsourcing
Tinghao Lai | Yan Zhao | Weizhu Qian | Kai Zheng

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Accelerating CNN via Dynamic Pattern-based Pruning Network
Gwanghan Lee | Saebyeol Shin | Simon S. Woo

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Sliding Cross Entropy for Self-Knowledge Distillation
Hanbeen Lee | Jeongho Kim | Simon S. Woo

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Relational Self-Supervised Learning on Graphs
Namkyeong Lee | Dongmin Hyun | Junseok Lee | Chanyoung Park

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Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front
Seonjae Lee | Myoung-Hoon Lee | Jun Moon

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Parallel Skyline Processing Using Space Pruning on GPU
Chuanwen Li | Yu Gu | Jianzhong Qi | Ge Yu

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MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies
Guohui Li | Zhiqiang Guo | Jianjun Li | Chaoyang Wang

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CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings
Huahang Li | Shuangyin Li | Yuncheng Jiang | Gansen Zhao

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Multi-agent Transformer Networks for Multimodal Human Activity Recognition
Jingcheng Li | Lina Yao | Binghao Li | Xianzhi Wang | Claude Sammut

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Frequent Itemset Mining with Local Differential Privacy
Junhui Li | Wensheng Gan | Yijie Gui | Yongdong Wu | Philip S. Yu

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AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection
Ke Li | Bin Guo | Siyuan Ren | Zhiwen Yu

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Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction
Mei Li | Xiangrui Cai | Linyu Li | Sihan Xu | Hua Ji

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℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning
Ping Li | Xiaoyun Li | Gennady Samorodnitsky

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GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks
Ping Li | Weijie Zhao

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Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization
Zhuoming Li | Darong Lai

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Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
Allen Lin | Jianling Wang | Ziwei Zhu | James Caverlee

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Cascade Variational Auto-Encoder for Hierarchical Disentanglement
Fudong Lin | Xu Yuan | Lu Peng | Nian-Feng Tzeng

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High-quality Task Division for Large-scale Entity Alignment
Bing Liu | Wen Hua | Guido Zuccon | Genghong Zhao | Xia Zhang

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Task Assignment with Federated Preference Learning in Spatial Crowdsourcing
Jiaxin Liu | Liwei Deng | Hao Miao | Yan Zhao | Kai Zheng

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Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization
Ning Liu | Songlei Jian | Dongsheng Li | Hongzuo Xu

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I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning
Yang Liu | Zequn Sun | Guangyao Li | Wei Hu

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Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios
Yao Liu | Lina Yao | Binghao Li | Xianzhi Wang | Claude Sammut

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Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters
Wei Lu | Zhaobo Zhang | Pingpeng Yuan | Hai Jin | Qiang-Sheng Hua

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Dual-Task Learning for Multi-Behavior Sequential Recommendation
Jinwei Luo | Mingkai He | Xiaolin Lin | Weike Pan | Zhong Ming

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HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations
Sichun Luo | Xinyi Zhang | Yuanzhang Xiao | Linqi Song

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Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer
Yuanjie Lyu | Chen Zhu | Tong Xu | Zikai Yin | Enhong Chen

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DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model
Changsheng Ma | Qiang Yang | Xin Gao | Xiangliang Zhang

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NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution
Chenglong Ma | Yongli Ren | Pablo Castells | Mark Sanderson

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MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning
Runze Ma | Yidan Zhang | Xinye Wang | Zhenyang Yu | Lei Duan

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Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
Xinyu Ma | Jiafeng Guo | Ruqing Zhang | Yixing Fan | Xueqi Cheng

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Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting
Yihong Ma | Patrick Gérard | Yijun Tian | Zhichun Guo | Nitesh V. Chawla

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Adaptive Re-Ranking with a Corpus Graph
Sean MacAvaney | Nicola Tonellotto | Craig Macdonald

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Jointly Contrastive Representation Learning on Road Network and Trajectory
Zhenyu Mao | Ziyue Li | Dedong Li | Lei Bai | Rui Zhao

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Cascade-based Echo Chamber Detection
Marco Minici | Federico Cinus | Corrado Monti | Francesco Bonchi | Giuseppe Manco

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Mining Reaction and Diffusion Dynamics in Social Activities
Taichi Murayama | Yasuko Matsubara | Yasushi Sakurai | None None

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Network Aware Forecasting for eCommerce Supply Planning
K. V. M. Naidu | Praveen Gupta | Vaishnavi Gujjula

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Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs
Thi Huyen Nguyen | Koustav Rudra

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MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
Hui Niu | Siyuan Li | Jian Li

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Rank List Sensitivity of Recommender Systems to Interaction Perturbations
Sejoon Oh | Berk Ustun | Julian J. McAuley | Srijan Kumar

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Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation
Yi Ouyang | Peng Wu | Li Pan

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Sequence Prediction under Missing Data: An RNN Approach without Imputation
Soumen Pachal | Avinash Achar

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Analysis of Knowledge Transfer in Kernel Regime
Ashkan Panahi | Arman Rahbar | Chiranjib Bhattacharyya | Devdatt P. Dubhashi | Morteza Haghir Chehreghani

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SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
Shaowen Peng | Kazunari Sugiyama | Tsunenori Mine

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Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning
Yiyue Qian | Yiming Zhang | Nitesh V. Chawla | Yanfang Ye | Chuxu Zhang

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A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention
Yuqi Qin | Pengfei Wang | Biyu Ma | Zhe Zhang

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Reinforced Continual Learning for Graphs
Appan Rakaraddi | Siew-Kei Lam | Mahardhika Pratama | Marcus de Carvalho

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RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis
Houxing Ren | Jingyuan Wang | Wayne Xin Zhao

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Flow-based Perturbation for Cause-effect Inference
Shaogang Ren | Ping Li

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Unbiased Learning to Rank with Biased Continuous Feedback
Yi Ren | Hongyan Tang | Siwen Zhu

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Deep Extreme Mixture Model for Time Series Forecasting
Abilasha S | Sahely Bhadra | Ahmed Zaheer Dadarkar | Deepak P

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Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?
Mohammed Saeed | Nicolas Traub | Maelle Nicolas | Gianluca Demartini | Paolo Papotti

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PLAID: An Efficient Engine for Late Interaction Retrieval
Keshav Santhanam | Omar Khattab | Christopher Potts | Matei Zaharia

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Towards Principled User-side Recommender Systems
Ryoma Sato

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Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search
Qijie Shen | Hong Wen | Jing Zhang | Qi Rao

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A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS
Wei Shen | Xiaonan He | Chuheng Zhang | Xuyun Zhang | Jian Xie

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Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function
A. B. Siddique | Muhammad Hasan Maqbool | Kshitija Taywade | Hassan Foroosh

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Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution
Ilija Simic | Vedran Sabol | Eduardo E. Veas

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A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning
Li Sun | Junda Ye | Hao Peng | Philip S. Yu

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Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks
Longlong Sun | Hui Li | Yanguo Peng | Jiangtao Cui

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RobustFed: A Truth Inference Approach for Robust Federated Learning
Farnaz Tahmasebian | Jian Lou | Li Xiong

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Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network
Shiyin Tan | Jingyi You | Dongyuan Li

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CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
Yongxiang Tang | Wentao Bai | Guilin Li | Xialong Liu | Yu Zhang

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Temporal Contrastive Pre-Training for Sequential Recommendation
Changxin Tian | Zihan Lin | Shuqing Bian | Jinpeng Wang | Wayne Xin Zhao

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Dense Retrieval with Entity Views
Hai Dang Tran | Andrew Yates

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Intersection of Parallels as an Early Stopping Criterion
Ali Vardasbi | Maarten de Rijke | Mostafa Dehghani

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Adaptive Multi-Source Causal Inference from Observational Data
Thanh Vinh Vo | Pengfei Wei | Trong Nghia Hoang | Tze-Yun Leong

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Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
Govind Waghmare | Ankur Debnath | Siddhartha Asthana | Aakarsh Malhotra

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Explanation Guided Contrastive Learning for Sequential Recommendation
Lei Wang | Ee-Peng Lim | Zhiwei Liu | Tianxiang Zhao

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Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model
Shuo Wang | Yifei Zhang | Bochen Lin | Boxun Li

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AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training
Yili Wang | Kaixiong Zhou | Rui Miao | Ninghao Liu | Xin Wang

doi dblp
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Yu Wang | Hengrui Zhang | Zhiwei Liu | Liangwei Yang | Philip S. Yu

doi dblp
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang | Yuying Zhao | Neil Shah | Tyler Derr

doi dblp
Latent Coreset Sampling based Data-Free Continual Learning
Zhuoyi Wang | Dingcheng Li | Ping Li

doi dblp
Bandit Learning in Many-to-One Matching Markets
Zilong Wang | Liya Guo | Junming Yin | Shuai Li

doi dblp
Dynamic Hypergraph Learning for Collaborative Filtering
Chunyu Wei | Jian Liang | Bing Bai | Di Liu

doi dblp
Dynamic Transfer Gaussian Process Regression
Pengfei Wei | Xinghua Qu | Wen Song | Zejun Ma

doi dblp
RelpNet: Relation-based Link Prediction Neural Network
Ensen Wu | Hongyan Cui | Zunming Chen

doi dblp
Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation
Po-Cheng Wu | An-Zi Yen | Hen-Hsen Huang | Hsin-Hsi Chen

doi dblp
A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation
Yuexin Wu | Xiaolei Huang

doi dblp
Representation Matters When Learning From Biased Feedback in Recommendation
Teng Xiao | Zhengyu Chen | Suhang Wang

doi dblp
MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis
Jiandong Xie | Yue Cui | Feiteng Huang | Chao Liu | Kai Zheng

doi dblp
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL
Guanming Xiong | Junwei Bao | Wen Zhao | Youzheng Wu | Xiaodong He

doi dblp
Dually Enhanced Propensity Score Estimation in Sequential Recommendation
Chen Xu | Jun Xu | Xu Chen | Zhenhua Dong | Ji-Rong Wen

doi dblp
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training
Qianxiong Xu | Sijie Ruan | Cheng Long | Liang Yu | Chen Zhang

doi dblp
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning
Shicheng Xu | Liang Pang | Huawei Shen | Xueqi Cheng

doi dblp
Effects of Stubbornness on Opinion Dynamics
Wanyue Xu | Liwang Zhu | Jiale Guan | Zuobai Zhang | Zhongzhi Zhang

doi dblp
Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing
Xiaojia Xu | An Liu | Guanfeng Liu | Zhixu Li | Lei Zhao

doi dblp
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks
Yuchen Yan | Qinghai Zhou | Jinning Li | Tarek F. Abdelzaher | Hanghang Tong

doi dblp
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion
Chaoqi Yang | Ruijie Wang | Shuochao Yao | Tarek F. Abdelzaher

doi dblp
GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training
Benedict Yeoh | Huijuan Wang

doi dblp
Scalable Graph Sampling on GPUs with Compressed Graph
Hongbo Yin | Yingxia Shao | Xupeng Miao | Yawen Li | Bin Cui

doi dblp
The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation
Ruiyun Yu | Kang Yang | Bingyang Guo

doi dblp
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
Zhenrui Yue | Huimin Zeng | Ziyi Kou | Lanyu Shang | Dong Wang

doi dblp
LTE4G: Long-Tail Experts for Graph Neural Networks
Sukwon Yun | Kibum Kim | Kanghoon Yoon | Chanyoung Park

doi dblp
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer
Fankai Zeng | Mingbo Zhao | Zhao Zhang | Shanchuan Gao | Lu Cheng

doi dblp
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang | Tian Zhou | Qingsong Wen | Liang Sun

doi dblp
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks
Jiazheng Zhang | Bang Wang

doi dblp
Disentangled Representation for Long-tail Senses of Word Sense Disambiguation
Junwei Zhang | Ruifang He | Fengyu Guo | Jinsong Ma | Mengnan Xiao

doi dblp
Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together
Qianzhen Zhang | Deke Guo | Xiang Zhao | Lailong Luo

doi dblp
A Simple Meta-path-free Framework for Heterogeneous Network Embedding
Rui Zhang | Arthur Zimek | Peter Schneider-Kamp

doi dblp
Unsupervised Representation Learning on Attributed Multiplex Network
Rui Zhang | Arthur Zimek | Peter Schneider-Kamp

doi dblp
GBERT: Pre-training User representations for Ephemeral Group Recommendation
Song Zhang | Nan Zheng | Danli Wang

doi dblp
DeepVT: Deep View-Temporal Interaction Network for News Recommendation
Xuanyu Zhang | Qing Yang | Dongliang Xu

doi dblp
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies
Yinghua Zhang | Yangqiu Song | Kun Bai | Qiang Yang

doi dblp
MAE4Rec: Storage-saving Transformer for Sequential Recommendations
Kesen Zhao | Xiangyu Zhao | Zijian Zhang | Muyang Li

doi dblp
End-to-end Modularity-based Community Co-partition in Bipartite Networks
Cangqi Zhou | Yuxiang Wang | Jing Zhang | Jiqiong Jiang | Dianming Hu

doi dblp
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Dawei Zhou | Lecheng Zheng | Dongqi Fu | Jiawei Han | Jingrui He

doi dblp
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression
Menghui Zhou | Yu Zhang | Tong Liu | Yun Yang | Po Yang

doi dblp
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
Yao Zhou | Jun Wu | Haixun Wang | Jingrui He

doi dblp
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang | Mohammad Al Hasan

doi dblp
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay
Ahmad Ajalloeian | Michalis Vlachos | Johannes Schneider | Alexis Steinmann

doi dblp
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling
Javier Albert | Dmitri Goldenberg

doi dblp
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings
Miguel Alves Gomes | Richard Meyes | Philipp Meisen | Tobias Meisen

doi dblp
Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo
Xiao Bai | Lei Duan | Richard Tang | Gaurav Batra | Ritesh Agrawal

doi dblp
Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs
Hannah Bast | Johannes Kalmbach | Theresa Klumpp | Florian Kramer | Niklas Schnelle

doi dblp
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction
Roy Benjamin | Uriel Singer | Kira Radinsky

doi dblp
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation
Shuqing Bian | Wayne Xin Zhao | Jinpeng Wang | Ji-Rong Wen

doi dblp
Fooling MOSS Detection with Pretrained Language Models
Stella Biderman | Edward Raff

doi dblp
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data
Lele Cao | Sonja Horn | Vilhelm von Ehrenheim | Richard Anselmo Stahl | Henrik Landgren

doi dblp
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
Bo Chen | Jiayi Liu | Mieradilijiang Maimaiti | Xing Gao | Ji Zhang

doi dblp
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act
Ben Chugg | Nicolas Rothbacher | Alex Feng | Xiaoqi Long | Daniel E. Ho

doi dblp
DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps
Miao Fan | Jizhou Huang | Haifeng Wang

doi dblp
Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints
Zhengqing Gao | Huimin Wu | Martin Takác | Bin Gu

doi dblp
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
Bhavya Ghai | Mihir Mishra | Klaus Mueller

doi dblp
Towards Fairer Classifier via True Fairness Score Path
Bin Gu | Zhou Zhai | Xiang Li | Heng Huang

doi dblp
UDM: A Unified Deep Matching Framework in Recommender Systems
Long Guo | Fei Fang | Binqiang Zhao | Bin Cui

doi dblp
Sentaur: Sensor Observable Data Model for Smart Spaces
Peeyush Gupta | Sharad Mehrotra | Shantanu Sharma | Roberto Yus | Nalini Venkatasubramanian

doi dblp
Addressing Cold Start in Product Search via Empirical Bayes
Cuize Han | Pablo Castells | Parth Gupta | Xu Xu | Vamsi Salaka

doi dblp
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations
Pengfei He | Haochen Liu | Xiangyu Zhao | Hui Liu | Jiliang Tang

doi dblp
DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps
Jizhou Huang | Haifeng Wang | Shaolei Wang

doi dblp
RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks
Sareena Karapoola | Nikhilesh Singh | Chester Rebeiro | V. Kamakoti

doi dblp
PAVE: Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models
Kushal Kumar | Anoop S. V. K. K. Saladi

doi dblp
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou
Kunpeng Li | Guangcui Shao | Naijun Yang | Xiao Fang | Yang Song

doi dblp
Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems
Junning Liu | Xinjian Li | Bo An | Zijie Xia | Xu Wang

doi dblp
Efficient Compression Method for Roadside LiDAR Data
Md. Parvez Mollah | Biplob Debnath | Murugan Sankaradas | Srimat Chakradhar | Abdullah Mueen

doi dblp
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments
Abhirup Mondal | Anirban Majumder | Vineet Chaoji

doi dblp
Ensure A/B Test Quality at Scale with Automated Randomization Validation and Sample Ratio Mismatch Detection
Keyu Nie | Zezhong Zhang | Bingquan Xu | Ted Tao Yuan

doi dblp
Guided Text-based Item Exploration
Behrooz Omidvar-Tehrani | Aurélien Personnaz | Sihem Amer-Yahia

doi dblp
Observability of SQL Hints in Oracle
Krishna Kantikiran Pasupuleti | Dinesh Das | Satyanarayana R. Valluri | Mohamed Zaït

doi dblp
High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems
Krishna Kantikiran Pasupuleti | Boris Klots | Vijayakrishnan Nagarajan | Ananthakiran Kandukuri | Nipun Agarwal

doi dblp
Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data
Indraneil Paul | Sumit Negi

doi dblp
Selective Tensorized Multi-layer LSTM for Orbit Prediction
Youjin Shin | Eun-Ju Park | Simon S. Woo | Okchul Jung | Daewon Chung

doi dblp
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Shahroz Tariq | Binh M. Le | Simon S. Woo

doi dblp
CTRL: Cooperative Traffic Tolling via Reinforcement Learning
Yiheng Wang | Hexi Jin | Guanjie Zheng

doi dblp
DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps
Deguo Xia | Jizhou Huang | Jianzhong Yang | Xiyan Liu | Haifeng Wang

doi dblp
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Sheng Xiang | Dawei Cheng | Chencheng Shang | Ying Zhang | Yuqi Liang

doi dblp
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center
Zhiyuan Yao | Zihan Ding | Thomas H. Clausen

doi dblp
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan | Ajith Muralidharan | Preetam Nandy | Miao Cheng | Prakruthi Prabhakar

doi dblp
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly
Won Joon Yun | David Mohaisen | Soyi Jung | Jong-Kook Kim | Joongheon Kim

doi dblp
Measuring Friendship Closeness: A Perspective of Social Identity Theory
Shiqi Zhang | Jiachen Sun | Wenqing Lin | Xiaokui Xiao | Bo Tang

doi dblp
Network Report: A Structured Description for Network Datasets
Xinyi Zheng | Ryan A. Rossi | Nesreen K. Ahmed | Dominik Moritz

doi dblp
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework
Zimu Zheng | Yunzhe Li | Han Song | Lanjun Wang | Fei Xia

doi dblp
Breast Cancer Early Detection with Time Series Classification
Haoren Zhu | Pengfei Zhao | Yiu-Pong Chan | Hong Kang | Dik Lun Lee

doi dblp
Cross-Domain Product Search with Knowledge Graph
Rui Zhu | Yiming Zhao | Wei Qu | Zhongyi Liu | Chenliang Li

doi dblp
Scaling Up Mass-Based Clustering
Nidhi Ahlawat | Amit Awekar

doi dblp
Probing the Robustness of Pre-trained Language Models for Entity Matching
Mehdi Akbarian Rastaghi | Ehsan Kamalloo | Davood Rafiei

doi dblp
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
Irfan Al-Hussaini | Cassie S. Mitchell

doi dblp
Improving Imitation Learning by Merging Experts Trajectories
Pegah Alizadeh | Aomar Osmani | Sammy Taleb

doi dblp
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval
Sophia Althammer | Sebastian Hofstätter | Suzan Verberne | Allan Hanbury

doi dblp
Interpretability of BERT Latent Space through Knowledge Graphs
Vito Walter Anelli | Giovanni Maria Biancofiore | Alessandro De Bellis | Tommaso Di Noia | Eugenio Di Sciascio

doi dblp
Unsupervised Question Clarity Prediction through Retrieved Item Coherency
Negar Arabzadeh | Mahsa Seifikar | Charles L. A. Clarke

doi dblp
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid
Carmelo Ardito | Yashar Deldjoo | Tommaso Di Noia | Eugenio Di Sciascio | Fatemeh Nazary

doi dblp
A Multi-Domain Benchmark for Personalized Search Evaluation
Elias Bassani | Pranav Kasela | Alessandro Raganato | Gabriella Pasi

doi dblp
CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks
Ali Behrouz | Farnoosh Hashemi

doi dblp
A Mask-based Output Layer for Multi-level Hierarchical Classification
Tanya Boone-Sifuentes | Mohamed Reda Bouadjenek | Imran Razzak | Hakim Hacid | Asef Nazari

doi dblp
Predicting Guiding Entities for Entity Aspect Linking
Shubham Chatterjee | Laura Dietz

doi dblp
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
Jiahao Chen | Shuyan Huang | Zitao Liu | Weiqi Luo

doi dblp
Discriminative Language Model via Self-Teaching for Dense Retrieval
Lu Chen | Ruqing Zhang | Jiafeng Guo | Yixing Fan | Xueqi Cheng

doi dblp
An Empirical Cross Domain-Specific Entity Recognition with Domain Vector
Wei Chen | Songqiao Han | Hailiang Huang

doi dblp
Trusted Media Challenge Dataset and User Study
Weiling Chen | Sheng Lun Benjamin Chua | Stefan Winkler | See-Kiong Ng

doi dblp
Scalable Graph Representation Learning via Locality-Sensitive Hashing
Xiusi Chen | Jyun-Yu Jiang | Wei Wang

doi dblp
Dynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction
Yuan Cheng

doi dblp
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui | Zijie Lu | Pan Li | Carl Yang

doi dblp
Effective Neural Team Formation via Negative Samples
Arman Dashti | Saeed Samet | Hossein Fani

doi dblp
OpeNTF: A Benchmark Library for Neural Team Formation
Arman Dashti | Karan Saxena | Dhwani Patel | Hossein Fani

doi dblp
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting
Aosong Feng | Leandros Tassiulas

doi dblp
Subspace Co-clustering with Two-Way Graph Convolution
Chakib Fettal | Lazhar Labiod | Mohamed Nadif

doi dblp
On the Mining of Time Series Data Counterfactual Explanations using Barycenters
Soukaïna Filali Boubrahimi | Shah Muhammad Hamdi

doi dblp
MalNet: A Large-Scale Image Database of Malicious Software
Scott Freitas | Rahul Duggal | Duen Horng Chau

doi dblp
End-to-end Multi-task Learning Framework for Spatio-Temporal Grounding in Video Corpus
Yingqi Gao | Zhiling Luo | Shiqian Chen | Wei Zhou

doi dblp
Local Contrastive Feature Learning for Tabular Data
Zhabiz Gharibshah | Xingquan Zhu

doi dblp
Binary Transformation Method for Multi-Label Stream Classification
Ege Berkay Gulcan | Isin Su Ecevit | Fazli Can

doi dblp
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher
Aibo Guo | Xinyi Li | Guanchen Xiao | Zhen Tan | Xiang Zhao

doi dblp
Fusing Geometric and Scene Information for Cross-View Geo-Localization
Siyuan Guo | Tianying Liu | Wengen Li | Jihong Guan | Shuigeng Zhou

doi dblp
SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse
Salim Hafid | Sebastian Schellhammer | Sandra Bringay | Konstantin Todorov | Stefan Dietze

doi dblp
Long-tail Mixup for Extreme Multi-label Classification
Sangwoo Han | Eunseong Choi | Chan Lim | Hyunjung Shim | Jongwuk Lee

doi dblp
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations
Helia Hashemi | Hamed Zamani | W. Bruce Croft

doi dblp
Unified Knowledge Prompt Pre-training for Customer Service Dialogues
Keqing He | Jingang Wang | Chaobo Sun | Wei Wu

doi dblp
Causal Intervention for Sentiment De-biasing in Recommendation
Ming He | Xin Chen | Xinlei Hu | Changshu Li

doi dblp
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks
Yu Hou | Cong Tran | Won-Yong Shin

doi dblp
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query
Zepeng Huai | Zhe Wang | Yifan Zhu | Peng Zhang

doi dblp
Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market
Huiling Huang | Jianliang Gao | Cong Xu | Xiaoting Ying

doi dblp
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks
Tiancheng Huang | Ke Xu | Donglin Wang

doi dblp
LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs
Tiancheng Huang | Feng Zhao | Donglin Wang

doi dblp
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Jihyeon Hyeong | Jayoung Kim | Noseong Park | Sushil Jajodia

doi dblp
NILK: Entity Linking Dataset Targeting NIL-linking Cases
Anastasiia Iurshina | Jiaxin Pan | Rafika Boutalbi | Steffen Staab

doi dblp
RealGraph^: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis
Myung-Hwan Jang | Yun-Yong Ko | Dongkyu Jeong | Jeong-Min Park | Sang-Wook Kim

doi dblp
Intra-session Context-aware Feed Recommendation in Live Systems
Luo Ji | Gao Liu | Mingyang Yin | Hongxia Yang

doi dblp
AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism
Seungwan Jin | Hoyoung Choi | Kyungsik Han

doi dblp
Personal Entity, Concept, and Named Entity Linking in Conversations
Hideaki Joko | Faegheh Hasibi

doi dblp
Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model
Jinhao Ju | Deqing Yang | Jingping Liu

doi dblp
Convolutional Transformer Networks for Epileptic Seizure Detection
Nan Ke | Tong Lin | Zhouchen Lin | Xiao-Hua Zhou | Taoyun Ji

doi dblp
Mining Entry Gates for Points of Interest
Tanya Khanna | Abhinav Ganesan | Jose Mathew | Kranthi Mitra Adusimilli

doi dblp
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Dongkwan Kim | Jiho Jin | Jaimeen Ahn | Alice Oh

doi dblp
Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion
Jun Seon Kim | Seong-Jin Ahn | Myoung Ho Kim

doi dblp
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems
Minseok Kim | Jinoh Oh | Jaeyoung Do | Sungjin Lee

doi dblp
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation
Taeho Kim | Yungi Kim | Yeon-Chang Lee | Won-Yong Shin | Sang-Wook Kim

doi dblp
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation
Wonjun Ko | Heung-Il Suk

doi dblp
Neuron Specific Pruning for Communication Efficient Federated Learning
Gaurav Kumar | Durga Toshniwal

doi dblp
Efficient Data Augmentation Policy for Electrocardiograms
ByeongTak Lee | Yong-Yeon Jo | Seon-Yu Lim | Youngjae Song | Joon-Myoung Kwon

doi dblp
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction
Hai Li | Xin Dong | Lei Cheng | Linjian Mo

doi dblp
Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting?
Hao Li | Jie Shao | Kewen Liao | Mingjian Tang

doi dblp
Cooperative Max-Pressure Enhanced Traffic Signal Control
Lin Li | Renbo Li | Yuquan Peng | Chuanming Huang | Jingling Yuan

doi dblp
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations
Ningning Li | Qunwei Li | Xichen Ding | Shaohu Chen | Wenliang Zhong

doi dblp
CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary
Quanzhi Li | Yingchi Liu | Yang Chao

doi dblp
An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection
Yangmin Li | Xinhang Yuan | Wengen Li

doi dblp
Relation-aware Blocking for Scalable Recommendation Systems
Huizhi Liang | Zehao Liu | Thanet Markchom

doi dblp
Invariance Testing and Feature Selection Using Sparse Linear Layers
Zukang Liao | Michael Cheung

doi dblp
JavaScript&Me, A Tool to Support Research into Code Transformation and Browser Security
Susana Lima | Ricardo Morla | João Routar

doi dblp
Knowledge Distillation via Hypersphere Features Distribution Transfer
Boheng Liu | Tianrui Zhang | Ligang Miao

doi dblp
Efficient Non-sampling Expert Finding
Hongtao Liu | Zhepeng Lv | Qing Yang | Dongliang Xu | Qiyao Peng

doi dblp
ExpertBert: Pretraining Expert Finding
Hongtao Liu | Zhepeng Lv | Qing Yang | Dongliang Xu | Qiyao Peng

doi dblp
Embedding Global and Local Influences for Dynamic Graphs
Meng Liu | Jiaming Wu | Yong Liu

doi dblp
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting
Xiangyue Liu | Xinqi Lyu | Xiangchi Zhang | Jianliang Gao | Jiamin Chen

doi dblp
MomNet: Gender Prediction using Mechanism of Working Memory
Sijie Long | Lin Li | Jingling Yuan | Jianquan Liu

doi dblp
Meta-Reinforcement Learning for Multiple Traffic Signals Control
Yican Lou | Jia Wu | Yunchuan Ran

doi dblp
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis | Shweta Ann Jacob | Amirali Salehi-Abari

doi dblp
Scalable Multiple Kernel k-means Clustering
Yihang Lu | Haonan Xin | Rong Wang | Feiping Nie | Xuelong Li

doi dblp
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation
Sichun Luo | Yuanzhang Xiao | Linqi Song

doi dblp
Urban Region Profiling via Multi-Graph Representation Learning
Yan Luo | Fu-Lai Chung | Kai Chen

doi dblp
Curriculum Contrastive Learning for Fake News Detection
Jiachen Ma | Yong Liu | Meng Liu | Meng Han

doi dblp
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval
Xinyu Ma | Ruqing Zhang | Jiafeng Guo | Yixing Fan | Xueqi Cheng

doi dblp
Robustness of Sketched Linear Classifiers to Adversarial Attacks
Ananth Mahadevan | Arpit Merchant | Yanhao Wang | Michael Mathioudakis

doi dblp
Locality Aware Temporal FMs for Crime Prediction
Sameen Mansha | Abdur Rehman | Shaaf Abdullah | Faisal Kamiran | Hongzhi Yin

doi dblp
Contextualized Formula Search Using Math Abstract Meaning Representation
Behrooz Mansouri | Douglas W. Oard | Richard Zanibbi

doi dblp
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification
Sunil Kumar Maurya | Xin Liu | Tsuyoshi Murata

doi dblp
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset
Marta Moscati | Emilia Parada-Cabaleiro | Yashar Deldjoo | Eva Zangerle | Markus Schedl

doi dblp
Towards Confidence-aware Calibrated Recommendation
Mohammadmehdi Naghiaei | Hossein A. Rahmani | Mohammad Aliannejadi | Nasim Sonboli

doi dblp
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents
Tsubasa Nakagawa | Shunsuke Kitada | Hitoshi Iyatomi

doi dblp
Locality Sensitive Hashing with Temporal and Spatial Constraints for Efficient Population Record Linkage
Charini Nanayakkara | Peter Christen

doi dblp
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation
Jin-Duk Park | Cong Tran | Won-Yong Shin | Xin Cao

doi dblp
Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure
Seongsik Park | Dongkeun Yoon | Harksoo Kim

doi dblp
Plotly.plus, an Improved Dataset for Visualization Recommendation
Luca Podo | Paola Velardi

doi dblp
GRETEL: Graph Counterfactual Explanation Evaluation Framework
Mario Alfonso Prado-Romero | Giovanni Stilo

doi dblp
CLNews: The First Dataset of the Chilean Social Outbreak for Disinformation Analysis
Eliana Providel | Daniel Toro | Fabián Riquelme | Marcelo Mendoza | Eduardo Puraivan

doi dblp
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling
Erasmo Purificato | Ludovico Boratto | Ernesto William De Luca

doi dblp
Robust Semi-supervised Domain Adaptation against Noisy Labels
Can Qin | Yizhou Wang | Yun Fu

doi dblp
Explainable Graph-based Fraud Detection via Neural Meta-graph Search
Zidi Qin | Yang Liu | Qing He | Xiang Ao

doi dblp
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR
Lin Qiu | Nils Murrugarra-Llerena | Vítor Silva | Lin Lin | Vernon M. Chinchilli

doi dblp
SCC - A Test Collection for Search in Chat Conversations
Ismail Sabei | Ahmed Mourad | Guido Zuccon

doi dblp
A Model-Centric Explainer for Graph Neural Network based Node Classification
Sayan Saha | Monidipa Das | Sanghamitra Bandyopadhyay

doi dblp
Cost-constrained Minimal Steiner Tree Enumeration
Yuya Sasaki

doi dblp
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling
Ryoma Sato | Makoto Yamada | Hisashi Kashima

doi dblp
Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs
Procheta Sen | Sourav Saha | Debasis Ganguly | Manisha Verma | Dwaipayan Roy

doi dblp
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
Zezhi Shao | Zhao Zhang | Fei Wang | Wei Wei | Yongjun Xu

doi dblp
Early Stage Sparse Retrieval with Entity Linking
Dahlia Shehata | Negar Arabzadeh | Charles L. A. Clarke

doi dblp
PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark
Jiasheng Sheng | Zelalem Gero | Joyce C. Ho

doi dblp
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation
Meihui Shi | Derong Shen | Yue Kou | Tiezheng Nie | Ge Yu

doi dblp
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering
Georgios Sidiropoulos | Svitlana Vakulenko | Evangelos Kanoulas

doi dblp
Data Oversampling with Structure Preserving Variational Learning
Indu Solomon | Senthilnath Jayavelu | Md Meftahul Ferdaus | Uttam Kumar

doi dblp
A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space
Mingyang Song | Yi Feng | Liping Jing

doi dblp
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection
Xiaomin Song | Qingsong Wen | Yan Li | Liang Sun

doi dblp
Multi-Aspect Embedding of Dynamic Graphs
Aimin Sun | Zhiguo Gong

doi dblp
Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification
Mingze Sun | Weizhi Ma | Yang Liu

doi dblp
Improving Downstream Task Performance by Treating Numbers as Entities
Dhanasekar Sundararaman | Vivek Subramanian | Guoyin Wang | Liyan Xu | Lawrence Carin

doi dblp
ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders
Kazutoshi Umemoto

doi dblp
Leveraging the Graph Structure of Neural Network Training Dynamics
Fatemeh Vahedian | Ruiyu Li | Puja Trivedi | Di Jin | Danai Koutra

doi dblp
Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models
Tin Vu | Alberto Belussi | Sara Migliorini | Ahmed Eldawy

doi dblp
MNCM: Multi-level Network Cascades Model for Multi-Task Learning
Haotian Wu

doi dblp
Nonlinear Causal Discovery in Time Series
Tianhao Wu | Xingyu Wu | Xin Wang | Shikang Liu | Huanhuan Chen

doi dblp
Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs
Yanping Wu | Renjie Sun | Chen Chen | Xiaoyang Wang | Xianming Fu

doi dblp
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning
Wei Xia | Weiwen Liu | Yifan Liu | Ruiming Tang

doi dblp
Multi-granularity Fatigue in Recommendation
Ruobing Xie | Cheng Ling | Shaoliang Zhang | Feng Xia | Leyu Lin

doi dblp
BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition
Wanyang Xu | Wengen Li | Jihong Guan | Shuigeng Zhou

doi dblp
Texture BERT for Cross-modal Texture Image Retrieval
Zelai Xu | Tan Yu | Ping Li

doi dblp
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty
Xueying Yang | Jiamian Wang | Xujiang Zhao | Sheng Li | Zhiqiang Tao

doi dblp
Unanswerable Question Correction and Explanation over Personal Knowledge Base
An-Zi Yen | Hen-Hsen Huang | Hsin-Hsi Chen

doi dblp
A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation
Hang Zhang | Hao Wang | Guifeng Wang | Jiayu Liu | Qi Liu

doi dblp
Binary Classification with Positive Labeling Sources
Jieyu Zhang | Yujing Wang | Yaming Yang | Yang Luo | Alexander Ratner

doi dblp
An Enhanced Gated Graph Neural Network for E-commerce Recommendation
Jihai Zhang | Fangquan Lin | Cheng Yang | Ziqiang Cui

doi dblp
Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast
Jijie Zhang | Yan Yang | Yong Liu | Meng Han | Shaowei Yin

doi dblp
Selectively Expanding Queries and Documents for News Background Linking
Lirong Zhang | Hideo Joho | Sumio Fujita | Haitao Yu

doi dblp
Deep Contrastive Multiview Network Embedding
Mengqi Zhang | Yanqiao Zhu | Qiang Liu | Shu Wu | Liang Wang

doi dblp
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction
Shun Zhang | Xiangkui Lu | Jun Wu

doi dblp
WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection
Zeyu Zhang | Thuy Vu | Sunil Gandhi | Ankit Chadha | Alessandro Moschitti

doi dblp
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation
Zhenning Zhang | Boxin Du | Hanghang Tong

doi dblp
KSG: Knowledge and Skill Graph
Feng Zhao | Ziqi Zhang | Donglin Wang

doi dblp
Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning
Yihao Zhou | Guoshuai Zhao | Xueming Qian

doi dblp
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment
Jing Zhu | Danai Koutra | Mark Heimann

doi dblp
Spherical Graph Embedding for Item Retrieval in Recommendation System
Wenqiao Zhu | Yesheng Xu | Xin Huang | Qiyang Min | Xun Zhou

doi dblp
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction
Xinyu Zhu | Yongliang Shen | Weiming Lu

doi dblp
SEERa: A Framework for Community Prediction
Soroush Ziaeinejad | Saeed Samet | Hossein Fani

doi dblp
LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs
Dana Arad | Daniel Deutch | Nave Frost

doi dblp
Abstra: Toward Generic Abstractions for Data of Any Model
Nelly Barret | Ioana Manolescu | Prajna Upadhyay

doi dblp
ranx.fuse: A Python Library for Metasearch
Elias Bassani | Luca Romelli

doi dblp
exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data
Amit Bergman | Viviane Slon | Daniel Deutch

doi dblp
GALGO: Scalable Graph Analytics with a Parallel DBMS
Wellington Cabrera | Xiantian Zhou | Ladjel Bellatreche | Carlos Ordonez

doi dblp
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans
Shaowei Chen | Haoran Wang | Jie Liu | Jiahui Wu

doi dblp
A Platform for Argumentative Zoning Annotation and Scientific Summarization
Alaa El-Ebshihy | Annisa Maulida Ningtyas | Linda Andersson | Florina Piroi | Andreas Rauber

doi dblp
DISCO: Comprehensive and Explainable Disinformation Detection
Dongqi Fu | Yikun Ban | Hanghang Tong | Ross Maciejewski | Jingrui He

doi dblp
SmartIndex: An Index Advisor with Learned Cost Estimator
Jianling Gao | Nan Zhao | Ning Wang | Shuang Hao

doi dblp
Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings
Michael N. Gubanov | Sophie Pavia | Anna Pyayt | William Goble

doi dblp
A GPU-based Graph Pattern Mining System
Lin Hu | Lei Zou

doi dblp
Hockey: A Hybrid PMem-SSD Storage Engine for Analytical Database
Yuhang Jia | Huiqi Hu | Xuan Zhou | Weining Qian

doi dblp
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning
Maya Kapoor | Joshua Melton | Michael Ridenhour | Thomas Moyer | Siddharth Krishnan

doi dblp
MM-evocat: A Tool for Modelling and Evolution Management of Multi-Model Data
Pavel Koupil | Jáchym Bártík | Irena Holubová

doi dblp
POTATO: exPlainable infOrmation exTrAcTion framewOrk
Ádám Kovács | Kinga Gémes | Eszter Iklódi | Gábor Recski

doi dblp
Named Entity-based Question-Answering Pair Generator
Aritra Kumar Lahiri | Qinmin Vivian Hu

doi dblp
Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets
Teddy Lazebnik | Amit Somech

doi dblp
Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System
Mingda Li | Jin Wang | Guorui Xiao | Youfu Li | Carlo Zaniolo

doi dblp
PRID: An Efficient Pub/Sub Ride Hitching System
Yafei Li | Lei Gao | Haobo Sun | Huiling Li | Qingshun Wu

doi dblp
TSUPY: Dynamic Climate Network Analysis Library
Jinshu Liu | Yunlong Xu | Fatemeh Nargesian | Gourab Ghoshal

doi dblp
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups
Hitarth Narvala | Graham McDonald | Iadh Ounis

doi dblp
PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation
Hoang Nguyen | Radin Hamidi Rad | Ebrahim Bagheri

doi dblp
CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs
Thi Huyen Nguyen | Miroslav Shaltev | Koustav Rudra

doi dblp
DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs
Ying Rong | Hui Li | Kankan Zhao | Xiyue Gao | Jiangtao Cui

doi dblp
CAVE: Correcting Attribute Values in E-commerce Profiles
Kassem Sabeh | Mouna Kacimi | Johann Gamper

doi dblp
CLEAR: A Fully User-side Image Search System
Ryoma Sato

doi dblp
LibEpidemic: An Open-source Framework for Modeling Infectious Disease with Bigdata
Honghao Shi | Qijian Tian | Jingyuan Wang | Jiawei Cheng

doi dblp
TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices
Tomasz Szydlo | Prem Prakash Jayaraman | Yinhao Li | Graham Morgan | Rajiv Ranjan

doi dblp
FeReD: Federated Reinforcement Learning in the DBMS
Sotirios Tzamaras | Radu Ciucanu | Marta Soare | Sihem Amer-Yahia

doi dblp
ClozeSearch: A Collocation Retrieval Application to Assist in Scientific Writing
Mengru Wang | Omar Alonso

doi dblp
Extensible Database Simulator for Fast Prototyping In-Database Algorithms
Yifan Wang | Daisy Zhe Wang

doi dblp
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models
Zhijing Wu | Jingliang Fang | Hua Xu | Kai Gao

doi dblp
Favorite+: Favorite Tuples Extraction via Regret Minimization
Min Xie | Yang Liu

doi dblp
gCBO: A Cost-based Optimizer for Graph Databases
Linglin Yang | Lei Yang | Yue Pang | Lei Zou

doi dblp
eDental: Managing Your Dental Care in Diet Diaries
Kaiping Zheng | Thao Nguyen | Changshuo Liu | Charlene Enhui Goh | Beng Chin Ooi

doi dblp
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics
Zhuoxun Zheng | Baifan Zhou | Dongzhuoran Zhou | Ahmet Soylu | Evgeny Kharlamov

doi dblp
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning
Xiaoying Zhi | Yash Satsangi | Sean J. Moran | Shaltiel Eloul

doi dblp
Intent Disambiguation for Task-oriented Dialogue Systems
Andrea Alfieri | Ralf Wolter | Seyyed Hadi Hashemi

doi dblp
Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization
Lei Chen | Tianqi Wang

doi dblp
Synerise Monad - Real-Time Multimodal Behavioral Modeling
Jacek Dabrowski | Barbara Rychalska

doi dblp
From Product Searches to Conversational Agents for E-Commerce
Giuseppe Di Fabbrizio

doi dblp
Simulating Complex Problems Inside a Database
Giancarlo Fissore | Nikolaos Vasiloglou

doi dblp
Building Next Best Action Engines for B2C and B2B Use Cases
Ilya Katsov

doi dblp
Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs
Lizzie Liang | Sneha Kamath | Petar Ristoski | Qunzhi Zhou | Zhe Wu

doi dblp
Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare
Yizhao Ni | Ferosh Jacob | Priya Gopi Achuthan | Hui Wu | Faizan Javed

doi dblp
Geographical Address Models in the Indian e-Commerce
Ravindra Babu Tallamraju

doi dblp
On the Challenges of Podcast Search at Spotify
Mi Tian | Claudia Hauff | Praveen Chandar

doi dblp
Building Natural Language Processing Applications with EasyNLP
Chengyu Wang | Minghui Qiu | Jun Huang

doi dblp
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch
Zhuoxun Zheng | Baifan Zhou | Dongzhuoran Zhou | Ahmet Soylu | Evgeny Kharlamov

doi dblp
Sequence-Driven Analytics and Prediction
Usman Ahmed

doi dblp
Rank-Aware Gain-Based Evaluation of Extractive Summarization
Mousumi Akter

doi dblp
C-Cast: A Real-Time Forecasting Model for a Controlled Sequence
Ren Fujiwara

doi dblp
Causal Relationship over Knowledge Graphs
Hao Huang

doi dblp
Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques
Ngozi Ihemelandu

doi dblp
Identify Relevant Entities Through Text Understanding
Pooja Oza

doi dblp
Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches
Wei-Yao Wang

doi dblp
Fairness of Machine Learning in Search Engines
Yi Fang | Hongfu Liu | Zhiqiang Tao | Mikhail Yurochkin

doi dblp
Self-Supervised Learning for Recommendation
Chao Huang | Lianghao Xia | Xiang Wang | Xiangnan He | Dawei Yin

doi dblp
Graph-based Management and Mining of Blockchain Data
Arijit Khan | Cuneyt Gurcan Akcora

doi dblp
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators
Geon Lee | Jaemin Yoo | Kijung Shin

doi dblp
Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools
Shubhanshu Mishra | Rezvaneh Rezapour | Jana Diesner

doi dblp
Learning and Mining with Noisy Labels
Masashi Sugiyama | Tongliang Liu | Bo Han | Yang Liu | Gang Niu

doi dblp
Tutorial on Deep Learning Interpretation: A Data Perspective
Zhou Yang | Ninghao Liu | Xia Ben Hu | Fang Jin

doi dblp
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence
Adrien Bibal | Tassadit Bouadi | Benoît Frénay | Luis Galárraga | José Oramas

doi dblp
Workshop on Human-in-the-loop Data Curation
Gianluca Demartini | Jie Yang | Shazia W. Sadiq

doi dblp
THECOG 2022 - Transforms In Behavioral And Affective Computing (Revisited)
Georgios Drakopoulos | Eleanna Kafeza

doi dblp
Workshop on Proactive and Agent-Supported Information Retrieval (PASIR)
Gareth J. F. Jones | Procheta Sen | Debasis Ganguly | Emine Yilmaz

doi dblp
The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS)
Ida Mele | Cristina Ioana Muntean | Mohammad Aliannejadi | Nikos Voskarides

doi dblp
The Third Workshop on Data-driven Intelligent Transportation
Hua Wei | Guni Sheron | Cathy Wu | Sanjay Chawla | Zhenhui Li

doi dblp
PAS: Privacy Algorithms in Systems
Philip S. Yu | Olivera Kotevska | Tyler Derr