CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong (Editors)

Anthology ID:: 2021.cikm_conference-2021
Year:: 2021
Venue:: cikm_conference
Publisher:: ACM
URL:: https://doi.org/10.1145/3459637
DOI:: 10.1145/3459637
DBLP:: conf/cikm/2021
BibTeX:: Download

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CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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Anomaly Mining: Past, Present and Future
Leman Akoglu

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The Primacy of Data in Deep Learning NLP for Conversational AI
Mark Johnson

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Towards Reliable and Practicable Algorithmic Recourse
Himabindu Lakkaraju

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Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
Qingyao Ai | Lakshmi Narayanan Ramasamy

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Automated Selection of Multiple Datasets for Extension by Integration
Yael Amsterdamer | Moran Cohen

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Skyline in Crowdsourcing with Imprecise Comparisons
Aris Anagnostopoulos | Adriano Fazzone | Giacomo Vettraino

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Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Héber Hwang Arcolezi | Jean-François Couchot | Bechara al Bouna | Xiaokui Xiao

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Non-Visual Accessibility Assessment of Videos
Ali Selman Aydin | Yu-Jung Ko | Utku Uckun | I. V. Ramakrishnan | Vikas Ashok

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Influence Maximization With Co-Existing Seeds
Ruben Becker | Gianlorenzo D'Angelo | Hugo Gilbert

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Cross-Market Product Recommendation
Hamed R. Bonab | Mohammad Aliannejadi | Ali Vardasbi | Evangelos Kanoulas | James Allan

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ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations
Ryma Boumazouza | Fahima Cheikh Alili | Bertrand Mazure | Karim Tabia

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ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
Surajit Chakrabarty | Rukma Talwadker | Tridib Mukherjee

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Geometric Heuristics for Transfer Learning in Decision Trees
Siddhesh Chaubal | Mateusz Rzepecki | Patrick K. Nicholson | Guangyuan Piao | Alessandra Sala

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LiteGT: Efficient and Lightweight Graph Transformers
Cong Chen | Chaofan Tao | Ngai Wong

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FedMatch: Federated Learning Over Heterogeneous Question Answering Data
Jiangui Chen | Ruqing Zhang | Jiafeng Guo | Yixing Fan | Xueqi Cheng

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HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
Jiayi Chen | Aidong Zhang

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Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
Zeyuan Chen | Wei Zhang | Junchi Yan | Gang Wang | Jianyong Wang

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An Effective Non-Autoregressive Model for Spoken Language Understanding
Lizhi Cheng | Weijia Jia | Wenmian Yang

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LT-OCF: Learnable-Time ODE-based Collaborative Filtering
Jeongwhan Choi | Jinsung Jeon | Noseong Park

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Query Definability and Its Approximations in Ontology-based Data Management
Gianluca Cima | Federico Croce | Maurizio Lenzerini

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Answering POI-recommendation Questions using Tourism Reviews
Danish Contractor | Krunal Shah | Aditi Partap | Parag Singla | Mausam

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Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction
Yue Cui | Chen Zhu | Guanyu Ye | Ziwei Wang | Kai Zheng

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Towards Self-Explainable Graph Neural Network
Enyan Dai | Suhang Wang

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FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning
Xin Dai | Xiangnan Kong | Tian Guo | Xinlu He

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Mitigating Negative Influence Diffusion is Hard
Gianlorenzo D'Angelo | Mohammad Abouei Mehrizi

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Understanding Event Predictions via Contextualized Multilevel Feature Learning
Songgaojun Deng | Huzefa Rangwala | Yue Ning

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Deep Adversarial Network Alignment
Tyler Derr | Hamid Karimi | Xiaorui Liu | Jiejun Xu | Jiliang Tang

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Explanations for Data Repair Through Shapley Values
Daniel Deutch | Nave Frost | Amir Gilad | Oren Sheffer

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AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong | Kaize Ding | Brian Jalaian | Shuiwang Ji | Jundong Li

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Query-Variant Advertisement Text Generation with Association Knowledge
Siyu Duan | Wei Li | Jing Cai | Yancheng He | Yunfang Wu

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Fine and Coarse Granular Argument Classification before Clustering
Lorik Dumani | Tobias Wiesenfeldt | Ralf Schenkel

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CANN: Coupled Approximation Neural Network for Partial Domain Adaptation
Cheng Feng | Chaoliang Zhong | Jie Wang | Jun Sun | Yasuto Yokota

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Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems
Philip J. Feng | Pingjun Pan | Tingting Zhou | Hongxiang Chen | Chuanjiang Luo

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Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems
Zuohui Fu | Yikun Xian | Shijie Geng | Gerard de Melo | Yongfeng Zhang

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Fast and Accurate Anchor Graph-based Label Prediction
Yasuhiro Fujiwara | Yasutoshi Ida | Atsutoshi Kumagai | Sekitoshi Kanai | Naonori Ueda

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Pruning Meta-Trained Networks for On-Device Adaptation
Dawei Gao | Xiaoxi He | Zimu Zhou | Yongxin Tong | Lothar Thiele

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Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions
Zihan Gao | Jiepu Jiang

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Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs
Garima Gaur | Abhishek Dang | Arnab Bhattacharya | Srikanta Bedathur

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To Be or not to Be, Tail Labels in Extreme Multi-label Learning
Zhiqi Ge | Ximing Li

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Zero-shot Relation Classification from Side Information
Jiaying Gong | Hoda Eldardiry

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Driving the Herd: Search Engines as Content Influencers
Gregory Goren | Oren Kurland | Moshe Tennenholtz | Fiana Raiber

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Mining Bursty Groups from Interaction Data
Alexander Gorovits | Lin Zhang | Ekta Gujral | Evangelos E. Papalexakis | Petko Bogdanov

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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
Sindhu C. M. Gowda | Shalmali Joshi | Haoran Zhang | Marzyeh Ghassemi

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VPALG: Paper-publication Prediction with Graph Neural Networks
Renchu Guan | Yonghao Liu | Xiaoyue Feng | Ximing Li

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NED: Niche Detection in User Content Consumption Data
Ekta Gujral | Leonardo Neves | Evangelos E. Papalexakis | Neil Shah

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Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction
Jiale Han | Bo Cheng | Guoshun Nan

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GraphITE: Estimating Individual Effects of Graph-structured Treatments
Shonosuke Harada | Hisashi Kashima

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Learning Multiple Intent Representations for Search Queries
Helia Hashemi | Hamed Zamani | W. Bruce Croft

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Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt | Stefan Feuerriegel

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What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Kaixi Hu | Lin Li | Qing Xie | Jianquan Liu | Xiaohui Tao

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Signed Bipartite Graph Neural Networks
Junjie Huang | Huawei Shen | Qi Cao | Shuchang Tao | Xueqi Cheng

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Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Zhiqi Huang | Hamed R. Bonab | Sheikh Muhammad Sarwar | Razieh Rahimi | James Allan

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Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
Luo Ji | Qi Qin | Bingqing Han | Hongxia Yang

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Complex Temporal Question Answering on Knowledge Graphs
Zhen Jia | Soumajit Pramanik | Rishiraj Saha Roy | Gerhard Weikum

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Contrastive Pre-Training of GNNs on Heterogeneous Graphs
Xunqiang Jiang | Yuanfu Lu | Yuan Fang | Chuan Shi

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Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits
Weiyu Ju | Wei Bao | Liming Ge | Dong Yuan

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Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation
Mahsa Keramati | Zahra Zohrevand | Uwe Glässer

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Semantic Concept Annotation for Tabular Data
Udayan Khurana | Sainyam Galhotra

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Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary
Bosung Kim | Hyewon Choi | Haeun Yu | Youngjoong Ko

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ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning
Yun-Yong Ko | Kibong Choi | Hyunseung Jei | Dongwon Lee | Sang-Wook Kim

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Efficient Multi-Scale Feature Generation Adaptive Network
Gwanghan Lee | Minha Kim | Minha Kim | Simon S. Woo

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Certifying One-Phase Technology-Assisted Reviews
David D. Lewis | Eugene Yang | Ophir Frieder

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Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks
Changchun Li | Ximing Li | Jihong Ouyang | Yiming Wang

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Cache-based GNN System for Dynamic Graphs
Haoyang Li | Lei Chen

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Lightweight Self-Attentive Sequential Recommendation
Yang Li | Tong Chen | Peng-Fei Zhang | Hongzhi Yin

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Learning to Cluster via Same-Cluster Queries
Yi Li | Yan Song | Qin Zhang

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Grammatical Error Correction with Dependency Distance
Haowen Lin | Jinlong Li | Xu Zhang | Huanhuan Chen

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Deep Self-Adaptive Hashing for Image Retrieval
Qinghong Lin | Xiaojun Chen | Qin Zhang | Shangxuan Tian | Yudong Chen

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SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization
Huanyu Liu | Ruifang He | Liangliang Zhao | Haocheng Wang | Ruifang Wang

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Mining Cross Features for Financial Credit Risk Assessment
Qiang Liu | Zhaocheng Liu | Haoli Zhang | Yuntian Chen | Jun Zhu

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A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network
Yi Liu | Bohan Li | Yalei Zang | Aoran Li | Hongzhi Yin

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Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling
Yue Liu | Xin Wang | Xue Xu | Jianbo Yang | Wenwu Zhu

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POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
Zeyang Liu | Ke Zhou | Jiaxin Mao | Max L. Wilson

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Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases
Zhao Liu | Chang Lu | Ghadah Alghamdi | Renate A. Schmidt | Yizheng Zhao

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Graph Embedding Based on Euclidean Distance Matrix and its Applications
Zhihong Liu | Huiyu Li | Ruixin Li | Yong Zeng | Jianfeng Ma

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BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data
Amit Livne | Roy Dor | Bracha Shapira | Lior Rokach

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Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Linhao Luo | Yixiang Fang | Xin Cao | Xiaofeng Zhang | Wenjie Zhang

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GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation
Changsheng Ma | Xiangliang Zhang

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LEReg: Empower Graph Neural Networks with Local Energy Regularization
Xiaojun Ma | Hanyue Chen | Guojie Song

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Principled Multi-Aspect Evaluation Measures of Rankings
Maria Maistro | Lucas Chaves Lima | Jakob Grue Simonsen | Christina Lioma

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Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness
Xin Mao | Wenting Wang | Yuanbin Wu | Man Lan

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A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion
Naoki Marumo | Atsushi Miyauchi | Akiko Takeda | Akira Tanaka

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POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
Rahul Mishra | Shuo Zhang

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50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts
Moran Mizrahi | Dafna Shahaf

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Agenda: Robust Personalized PageRanks in Evolving Graphs
Dingheng Mo | Siqiang Luo

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Learning Ideological Embeddings from Information Cascades
Corrado Monti | Giuseppe Manco | Çigdem Aslay | Francesco Bonchi

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Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach
Josiane Mothe | Md Zia Ullah

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Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath | Mayank Baranwal | Harshad Khadilkar

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Disentangling Preference Representations for Recommendation Critiquing with ß-VAE
Preksha Nema | Alexandros Karatzoglou | Filip Radlinski

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Efficient Hyperparameter Optimization under Multi-Source Covariate Shift
Masahiro Nomura | Yuta Saito

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Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh | Sungchul Kim | Ryan A. Rossi | Srijan Kumar

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Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
Liang Pang | Yanyan Lan | Xueqi Cheng

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Learning Saliency Maps to Explain Deep Time Series Classifiers
Prathyush S. Parvatharaju | Ramesh Doddaiah | Thomas Hartvigsen | Elke A. Rundensteiner

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Differentially Private Federated Knowledge Graphs Embedding
Hao Peng | Haoran Li | Yangqiu Song | Vincent W. Zheng | Jianxin Li

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Sparse Shield: Social Network Immunization vs. Harmful Speech
Alexandru Petrescu | Ciprian-Octavian Truica | Elena Simona Apostol | Panagiotis Karras

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MentalSpot: Effective Early Screening for Depression Based on Social Contagion
Jahandad Pirayesh | Haiquan Chen | Xiao Qin | Wei-Shinn Ku | Da Yan

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Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
Paul J. Pritz | Liang Ma | Kin K. Leung

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Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees
Panpan Qi | Wei Wang | Lei Zhu | See-Kiong Ng

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Learning Implicit User Profile for Personalized Retrieval-Based Chatbot
Hongjin Qian | Zhicheng Dou | Yutao Zhu | Yueyuan Ma | Ji-Rong Wen

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Learning to Augment Imbalanced Data for Re-ranking Models
Zi-Hao Qiu | Ying-Chun Jian | Qing-Guo Chen | Lijun Zhang

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A Study of Explainability Features to Scrutinize Faceted Filtering Results
Jiaming Qu | Jaime Arguello | Yue Wang

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Fairness-Aware Training of Decision Trees by Abstract Interpretation
Francesco Ranzato | Caterina Urban | Marco Zanella

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QuAX: Mining the Web for High-utility FAQ
Muhammad Shihab Rashid | Fuad T. Jamour | Vagelis Hristidis

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AdaSim: A Recursive Similarity Measure in Graphs
Masoud Reyhani Hamedani | Sang-Wook Kim

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Corrective Guidance and Learning for Dialogue Management
Mahdin Rohmatillah | Jen-Tzung Chien

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The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki | Rik Sarkar

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odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks
Ilie Sarpe | Fabio Vandin

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ClaSP - Time Series Segmentation
Patrick Schäfer | Arik Ermshaus | Ulf Leser

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One-shot Transfer Learning for Population Mapping
Erzhuo Shao | Jie Feng | Yingheng Wang | Tong Xia | Yong Li

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DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space
Yuxin Shen | Zhao Li | Xin Wang | Jianxin Li | Xiaowang Zhang

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Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Qiang Sheng | Xueyao Zhang | Juan Cao | Lei Zhong

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XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management
Si Shi | Jianjun Li | Guohui Li | Peng Pan | Ke Liu

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SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking
Panayiotis Smeros | Carlos Castillo | Karl Aberer

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Metric Sentiment Learning for Label Representation
Chengyu Song | Fei Cai | Jianming Zheng | Wanyu Chen | Zhiqiang Pan

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Semi-supervised Multi-label Learning for Graph-structured Data
Zixing Song | Ziqiao Meng | Yifei Zhang | Irwin King

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Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering
Kexuan Sun | Fei Wang | Muhao Chen | Jay Pujara

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Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach
Xin Sun | Xin Huang | Zitan Sun | Di Jin

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DESYR: Definition and Syntactic Representation Based Claim Detection on the Web
Megha Sundriyal | Parantak Singh | Md. Shad Akhtar | Shubhashis Sengupta | Tanmoy Chakraborty

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Actionable Insights in Urban Multivariate Time-series
Anika Tabassum | Supriya Chinthavali | Varisara Tansakul | B. Aditya Prakash

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Self-supervised Representation Learning on Dynamic Graphs
Sheng Tian | Ruofan Wu | Leilei Shi | Liang Zhu | Tao Xiong

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Recipe Representation Learning with Networks
Yijun Tian | Chuxu Zhang | Ronald A. Metoyer | Nitesh V. Chawla

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Attention Based Dynamic Graph Learning Framework for Asset Pricing
Ajim Uddin | Xinyuan Tao | Dantong Yu

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Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank
Ali Vardasbi | Maarten de Rijke | Ilya Markov

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Neural Information Diffusion Prediction with Topic-Aware Attention Network
Hao Wang | Cheng Yang | Chuan Shi

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A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage
Haoyu Wang | Yaqing Wang | Defu Lian | Jing Gao

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Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions
Hu Wang | Hui Li | Meng Wang | Jiangtao Cui

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Fast k-NN Graph Construction by GPU based NN-Descent
Hui Wang | Wan-Lei Zhao | Xiangxiang Zeng | Jianye Yang

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Top-k Tree Similarity Join
Jianhua Wang | Jianye Yang | Wenjie Zhang

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Popularity-Enhanced News Recommendation with Multi-View Interest Representation
Jingkun Wang | Yipu Chen | Zichun Wang | Wen Zhao

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Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism
Li Wang | Peipei Li | Kai Xiong | Jiashu Zhao | Rui Lin

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REFORM: Error-Aware Few-Shot Knowledge Graph Completion
Song Wang | Xiao Huang | Chen Chen | Liang Wu | Jundong Li

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Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation
Weichao Wang | Wei Gao | Shi Feng | Ling Chen | Daling Wang

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Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis
Xinping Wang | Caidie Huang | Jinfang Cai | Liangyu Chen

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Tree Decomposed Graph Neural Network
Yu Wang | Tyler Derr

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An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks
Yuke Wang | Boyuan Feng | Xueqiao Peng | Yufei Ding

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Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing
Ziwei Wang | Yan Zhao | Xuanhao Chen | Kai Zheng

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Region Semantically Aligned Network for Zero-Shot Learning
Ziyang Wang | Yunhao Gou | Jingjing Li | Yu Zhang | Yang Yang

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Pooling Architecture Search for Graph Classification
Lanning Wei | Huan Zhao | Quanming Yao | Zhiqiang He

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AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction
Zhikun Wei | Xin Wang | Wenwu Zhu

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Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks
Tobias Weller | Maribel Acosta

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SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL
Dawid Wisniewski | Jedrzej Potoniec | Agnieszka Lawrynowicz

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Clustering of Conversational Bandits for User Preference Learning and Elicitation
Junda Wu | Canzhe Zhao | Tong Yu | Jingyang Li | Shuai Li

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DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control
Libing Wu | Min Wang | Dan Wu | Jia Wu

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Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders
Qitian Wu | Chenxiao Yang | Shuodian Yu | Xiaofeng Gao | Guihai Chen

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Self-Supervised Graph Co-Training for Session-based Recommendation
Xin Xia | Hongzhi Yin | Junliang Yu | Yingxia Shao | Lizhen Cui

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iMap: Incremental Node Mapping between Large Graphs Using GNN
Yikuan Xia | Jun Gao | Bin Cui

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Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks
Wenyi Xiao | Huan Zhao | Vincent W. Zheng | Yangqiu Song

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WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model
Chenhao Xie | Wenhao Huang | Jiaqing Liang | Chengsong Huang | Yanghua Xiao

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Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Zhongwei Xie | Ling Liu | Lin Li | Luo Zhong

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Speedup Robust Graph Structure Learning with Low-Rank Information
Hui Xu | Liyao Xiang | Jiahao Yu | Anqi Cao | Xinbing Wang

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Expanding Relationship for Cross Domain Recommendation
Kun Xu | Yuanzhen Xie | Liang Chen | Zibin Zheng

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Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning
Dalong Yang | Chuan Chen | Youhao Zheng | Zibin Zheng | Shih-wei Liao

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Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding?
Han Yang | Leilei Zhang | Bingning Wang | Ting Yao | Junfei Liu

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Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx
Han Yang | Junfei Liu

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CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards
Huanhuan Yang | Dianxi Shi | Chenran Zhao | Guojun Xie | Shaowu Yang

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Adversarial Kernel Sampling on Class-imbalanced Data Streams
Peng Yang | Ping Li

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AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation
Yixiang Yao | Tanmay Ghai | Srivatsan Ravi | Pedro A. Szekely

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Task Allocation with Geographic Partition in Spatial Crowdsourcing
Guanyu Ye | Yan Zhao | Xuanhao Chen | Kai Zheng

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Robust Dynamic Clustering for Temporal Networks
Jingyi You | Chenlong Hu | Hidetaka Kamigaito | Kotaro Funakoshi | Manabu Okumura

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Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction
Xiaoyu You | Mi Zhang | Daizong Ding | Fuli Feng | Yuanmin Huang

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Multiple Exemplars Learning for Fast Image Retrieval
Tan Yu | Ping Li

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Reinforced Active Entity Alignment
Weixin Zeng | Xiang Zhao | Jiuyang Tang | Changjun Fan

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Topic Modeling for Multi-Aspect Listwise Comparisons
Delvin Ce Zhang | Hady W. Lauw

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DSDD: Domain-Specific Dataset Discovery on the Web
Haoxiang Zhang | Aécio S. R. Santos | Juliana Freire

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Delve into the Performance Degradation of Differentiable Architecture Search
Jiuling Zhang | Zhiming Ding

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Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph
Mingxi Zhang | Xifeng Yan | Wei Wang

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Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm
Qingsong Zhang | Bin Gu | Zhiyuan Dang | Cheng Deng | Heng Huang

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Adversarial Separation Network for Cross-Network Node Classification
Xiaowen Zhang | Yuntao Du | Rongbiao Xie | Chongjun Wang

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Pareto-optimal Community Search on Large Bipartite Graphs
Yuting Zhang | Kai Wang | Wenjie Zhang | Xuemin Lin | Ying Zhang

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Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal
Zuobai Zhang | Zhongzhi Zhang | Guanrong Chen

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k-sums Clustering: A Stochastic Optimization Approach
Wan-Lei Zhao | Shi-Ying Lan | Run-Qing Chen | Chong-Wah Ngo

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Automated Query Graph Generation for Querying Knowledge Graphs
Weiguo Zheng | Mei Zhang

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Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism
Wendong Zheng | Putian Zhao | Kai Huang | Gang Chen

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Relation Network and Causal Reasoning for Image Captioning
Dongming Zhou | Jing Yang

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#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
Yichao Zhou | Jyun-Yu Jiang | Xiusi Chen | Wei Wang

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PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Yujia Zhou | Zhicheng Dou | Yutao Zhu | Ji-Rong Wen

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Open Benchmarking for Click-Through Rate Prediction
Jieming Zhu | Jinyang Liu | Shuai Yang | Qi Zhang | Xiuqiang He

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Summarizing Long-Form Document with Rich Discourse Information
Tianyu Zhu | Wen Hua | Jianfeng Qu | Xiaofang Zhou

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Discovering Time-invariant Causal Structure from Temporal Data
Saima Absar | Lu Zhang

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VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality
Shubhangi Agarwal | Sourav Dutta | Arnab Bhattacharya

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Goal-Directed Extractive Summarization of Financial Reports
Yash Agrawal | Vivek Anand | Manish Gupta | S. Arunachalam | Vasudeva Varma

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Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values
Dawon Ahn | Seyun Kim | U Kang

doi dblp
Variational Graph Normalized AutoEncoders
Seong-Jin Ahn | Myoung Ho Kim

doi dblp
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach
Mira Ait Saada | François Role | Mohamed Nadif

doi dblp
Scalable Contrast Pattern Mining over Data Streams
Elaheh Alipour Chavary | Sarah M. Erfani | Christopher Leckie

doi dblp
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering
Faisal M. Almutairi | Nicholas D. Sidiropoulos | Bo Yang

doi dblp
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders
Vito Walter Anelli | Yashar Deldjoo | Tommaso Di Noia | Felice Antonio Merra

doi dblp
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction
Negar Arabzadeh | Maryam Khodabakhsh | Ebrahim Bagheri

doi dblp
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection
Negar Arabzadeh | Xinyi Yan | Charles L. A. Clarke

doi dblp
Time-Aware Recommender System via Continuous-Time Modeling
Jianghan Bao | Yu Zhang

doi dblp
Anchor-based Collaborative Filtering
Oren Barkan | Roy Hirsch | Ori Katz | Avi Caciularu | Noam Koenigstein

doi dblp
Boosting Few-shot Abstractive Summarization with Auxiliary Tasks
Qiwei Bi | Haoyuan Li | Hanfang Yang

doi dblp
Misbeliefs and Biases in Health-Related Searches
Alexander Bondarenko | Ekaterina Shirshakova | Marina Driker | Matthias Hagen | Pavel Braslavski

doi dblp
New Tight Relaxations of Rank Minimization for Multi-Task Learning
Wei Chang | Feiping Nie | Rong Wang | Xuelong Li

doi dblp
Constructing Noise Free Economic Policy Uncertainty Index
Chung-Chi Chen | Hen-Hsen Huang | Yu-Lieh Huang | Hsin-Hsi Chen

doi dblp
Distilling Numeral Information for Volatility Forecasting
Chung-Chi Chen | Hen-Hsen Huang | Yu-Lieh Huang | Hsin-Hsi Chen

doi dblp
NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text
Chung-Chi Chen | Hen-Hsen Huang | Hsin-Hsi Chen

doi dblp
Mitigating Deep Double Descent by Concatenating Inputs
John Chen | Qihan Wang | Anastasios Kyrillidis

doi dblp
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection
Lingwei Chen | Yujie Fan | Yanfang Ye

doi dblp
MGNETS: Multi-Graph Neural Networks for Table Search
Zhiyu Chen | Mohamed Trabelsi | Jeff Heflin | Dawei Yin | Brian D. Davison

doi dblp
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection
Hyewon Choi | Youngjoong Ko

doi dblp
Variational Cross-Network Embedding for Anonymized User Identity Linkage
Xiaokai Chu | Xinxin Fan | Zhihua Zhu | Jingping Bi

doi dblp
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation
Qiang Cui | Chenrui Zhang | Yafeng Zhang | Jinpeng Wang | Mingchen Cai

doi dblp
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
Yue Cui | Jiandong Xie | Kai Zheng

doi dblp
Does Adversarial Oversampling Help us?
Tanmoy Dam | Md Meftahul Ferdaus | Sreenatha G. Anavatti | Senthilnath Jayavelu | Hussein A. Abbass

doi dblp
Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations
Marco Del Tredici | Gianni Barlacchi | Xiaoyu Shen | Weiwei Cheng | Adrià de Gispert

doi dblp
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning
Kaize Ding | Xuan Shan | Huan Liu

doi dblp
Simulated Annealing for Emotional Dialogue Systems
Chengzhang Dong | Chenyang Huang | Osmar Zaïane | Lili Mou

doi dblp
Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection
Erick Draayer | Huiping Cao | Yifan Hao

doi dblp
Fair and Robust Classification Under Sample Selection Bias
Wei Du | Xintao Wu

doi dblp
FairER: Entity Resolution With Fairness Constraints
Vasilis Efthymiou | Kostas Stefanidis | Evaggelia Pitoura | Vassilis Christophides

doi dblp
Collaborative Experts Discovery in Social Coding Platforms
Roohollah Etemadi | Morteza Zihayat | Kuan Feng | Jason Adelman | Ebrahim Bagheri

doi dblp
Recommending Datasets for Scientific Problem Descriptions
Michael Färber | Ann-Kathrin Leisinger

doi dblp
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
Ziwei Fan | Zhiwei Liu | Shen Wang | Lei Zheng | Philip S. Yu

doi dblp
Towards Robustness to Label Noise in Text Classification via Noise Modeling
Siddhant Garg | Goutham Ramakrishnan | Varun Thumbe

doi dblp
EasyFlinkCEP: Big Event Data Analytics for Everyone
Nikos Giatrakos | Eleni Kougioumtzi | Antonios Kontaxakis | Antonios Deligiannakis | Yannis Kotidis

doi dblp
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
Kalpa Gunaratna | Vijay Srinivasan | Sandeep Nama | Hongxia Jin

doi dblp
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy
Chitrank Gupta | Yash Jain | Abir De | Soumen Chakrabarti

doi dblp
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias
Priyanka Gupta | Ankit Sharma | Pankaj Malhotra | Lovekesh Vig | Gautam Shroff

doi dblp
Region Invariant Normalizing Flows for Mobility Transfer
Vinayak Gupta | Srikanta Bedathur

doi dblp
Counterfactual Generative Smoothing for Imbalanced Natural Language Classification
Hojae Han | Seungtaek Choi | Myeongho Jeong | Jin-Woo Park | Seung-won Hwang

doi dblp
GLocal-K: Global and Local Kernels for Recommender Systems
Soyeon Caren Han | Taejun Lim | Siqu Long | Bernd Burgstaller | Josiah Poon

doi dblp
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation
Xiao Han | Shuhan Yuan

doi dblp
Automatic Error Correction Using the Wikipedia Page Revision History
Md. Kamrul Hasan | Mohammad Mahdavi

doi dblp
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling
Arezoo Hatefi | Xuan-Son Vu | Monowar H. Bhuyan | Frank Drewes

doi dblp
Centerpoint Query Authentication
Magnus Haxen | Morten Raeburn | Peyman Afshani | Panagiotis Karras

doi dblp
LTPHM: Long-term Traffic Prediction based on Hybrid Model
Chuyin Huang | Weiyang Kong | Genan Dai | Yubao Liu

doi dblp
Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation
Ruoran Huang | Chuanqi Han | Li Cui

doi dblp
When is Nearest Neighbor Meaningful: Sequential Data
Aaron Hui | Byron J. Gao

doi dblp
The Effect of News Article Quality on Ad Consumption
Kojiro Iizuka | Yoshifumi Seki | Makoto P. Kato

doi dblp
CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese
Zijing Ji | Xin Wang | Yuxin Shen | Guozheng Rao

doi dblp
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction
Taegwan Kang | Minwoo Lee | Nakyeong Yang | Kyomin Jung

doi dblp
Question Answering using Web Lists
Anoop R. Katti | Kai Hui | Adrià de Gispert | Hagen Fürstenau

doi dblp
CoSEM: Contextual and Semantic Embedding for App Usage Prediction
Yonchanok Khaokaew | Mohammad Saiedur Rahaman | Ryen W. White | Flora D. Salim

doi dblp
Self-supervised Fine-tuning for Efficient Passage Re-ranking
Meoungjun Kim | Youngjoong Ko

doi dblp
Query-driven Segment Selection for Ranking Long Documents
Youngwoo Kim | Razieh Rahimi | Hamed R. Bonab | James Allan

doi dblp
UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion
Toon Koppelaars | Xavier Oriol | Ernest Teniente | Sergi Curto | Eduard Pujol

doi dblp
Exploratory Search of GANs with Contextual Bandits
Ivan Kropotov | Alan Medlar | Dorota Glowacka

doi dblp
Asterisk-Shaped Features for Tabular Data
Yuki Kurauchi | Yoshiaki Takimoto | Shuhei Yamamoto | Shunichi Seko | Hiroyuki Toda

doi dblp
Boosting Graph Alignment Algorithms
Alexander Frederiksen Kyster | Simon Daugaard Nielsen | Judith Hermanns | Davide Mottin | Panagiotis Karras

doi dblp
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer
Dohyeon Lee | Jaeseong Lee | Gyewon Lee | Byung-Gon Chun | Seung-won Hwang

doi dblp
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
Youngjune Lee | Kee-Eung Kim

doi dblp
Capsule Graph Neural Networks with EM Routing
Yu Lei | Jing Zhang

doi dblp
Hubness-aware User Identity Linkage
Chaozhuo Li | Senzhang Wang | Feiran Huang | Jie Xu | Philip S. Yu

doi dblp
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs
Dongyue Li | Tao Yang | Lun Du | Zhezhi He | Li Jiang

doi dblp
Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images
Lin Li | Ming Li | Zichen Zan | Qing Xie | Jianquan Liu

doi dblp
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval
Mingyang Li | Shao-Lun Huang | Lin Zhang

doi dblp
Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network
Xiangju Li | Wei Gao | Shi Feng | Daling Wang | Shafiq R. Joty

doi dblp
Span-level Emotion Cause Analysis with Neural Sequence Tagging
Xiangju Li | Wei Gao | Shi Feng | Daling Wang | Shafiq R. Joty

doi dblp
Vandalism Detection in OpenStreetMap via User Embeddings
Yinxiao Li | T. Jennings Anderson | Yiqi Niu

doi dblp
Graph Representation Learning via Adversarial Variational Bayes
Yunhe Li | Yaochen Hu | Yingxue Zhang

doi dblp
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic
Chung-Yi Lin | Hung-Ting Su | Shen-Lung Tung | Winston H. Hsu

doi dblp
State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval
Jiqun Liu | Ran Yu

doi dblp
Deep Active Learning for Text Classification with Diverse Interpretations
Qiang Liu | Yanqiao Zhu | Zhaocheng Liu | Yufeng Zhang | Shu Wu

doi dblp
Age Inference Using A Hierarchical Attention Neural Network
Yaguang Liu | Lisa Singh

doi dblp
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update
Junyu Luo | Jianlei Yang | Xucheng Ye | Xin Guo | Weisheng Zhao

doi dblp
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention
Songyin Luo | Xiangkui Lu | Jun Wu | Jianbo Yuan

doi dblp
Smoothing with Fake Label
Ziyang Luo | Yadong Xi | Xiaoxi Mao

doi dblp
Learning Sparse Binary Code for Maximum Inner Product Search
Changyi Ma | Fangchen Yu | Yueyao Yu | Wenye Li

doi dblp
Temporal Network Embedding via Tensor Factorization
Jing Ma | Qiuchen Zhang | Jian Lou | Li Xiong | Joyce C. Ho

doi dblp
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval
Craig Macdonald | Nicola Tonellotto

doi dblp
On Skipping Behaviour Types in Music Streaming Sessions
Francesco Meggetto | Crawford Revie | John Levine | Yashar Moshfeghi

doi dblp
Multi-objective Few-shot Learning for Fair Classification
Ishani Mondal | Procheta Sen | Debasis Ganguly

doi dblp
MDFEND: Multi-domain Fake News Detection
Qiong Nan | Juan Cao | Yongchun Zhu | Yanyan Wang | Jintao Li

doi dblp
Discovery of Temporal Graph Functional Dependencies
Levin Noronha | Fei Chiang

doi dblp
Training Neural Networks with Random Noise Images for Adversarial Robustness
Ji-Young Park | Lin Liu | Jiuyong Li | Jixue Liu

doi dblp
Evaluating Fairness in Argument Retrieval
Sachin Pathiyan Cherumanal | Damiano Spina | Falk Scholer | W. Bruce Croft

doi dblp
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification
Luca Piras | Ludovico Boratto | Guilherme Ramos

doi dblp
Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search
Yi Qi | Ke Hu | Bo Zhang | Jia Cheng | Jun Lei

doi dblp
Reputation Equity in Ranking Systems
Guilherme Ramos | Ludovico Boratto | Mirko Marras

doi dblp
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search
Maciej Rybinski | Sarvnaz Karimi

doi dblp
DeepGroup: Group Recommendation with Implicit Feedback
Sarina Sajadi Ghaemmaghami | Amirali Salehi-Abari

doi dblp
Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network
Manjira Sinha | Tirthankar Dasgupta

doi dblp
Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization
Manjira Sinha | Tirthankar Dasgupta

doi dblp
Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation
Dongcheol Son | Youngjoong Ko

doi dblp
Location-Aware Named Entity Disambiguation
Maithrreye Srinivasan | Davood Rafiei

doi dblp
AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting
Hongyang Su | Xiaolong Wang | Yang Qin

doi dblp
Talking Face Generation Based on Information Bottleneck and Complementary Representations
Jie Tang | Yiling Wu | Minglei Li | Zhu Wang

doi dblp
HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation
Tokala Yaswanth Sri Sai Santosh | Nikhil Reddy Varimalla | Anoop Vallabhajosyula | Debarshi Kumar Sanyal | Partha Pratim Das

doi dblp
Query Embedding Pruning for Dense Retrieval
Nicola Tonellotto | Craig Macdonald

doi dblp
Template-guided Clarifying Question Generation for Web Search Clarification
Jian Wang | Wenjie Li

doi dblp
Embedding Node Structural Role Identity Using Stress Majorization
Lili Wang | Chenghan Huang | Weicheng Ma | Ying Lu | Soroush Vosoughi

doi dblp
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
Lili Wang | Chenghan Huang | Weicheng Ma | Xinyuan Cao | Soroush Vosoughi

doi dblp
Fully Hyperbolic Graph Convolution Network for Recommendation
Liping Wang | Fenyu Hu | Shu Wu | Liang Wang

doi dblp
Label-informed Graph Structure Learning for Node Classification
Liping Wang | Fenyu Hu | Shu Wu | Liang Wang

doi dblp
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values
Qinfen Wang | Siyuan Ren | Yong Xia | Longbing Cao

doi dblp
Modeling Inter-Claim Interactions for Verifying Multiple Claims
Shuai Wang | Wenji Mao

doi dblp
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
Yu Wang | Zhiwei Liu | Ziwei Fan | Lichao Sun | Philip S. Yu

doi dblp
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems
Yuening Wang | Yingxue Zhang | Mark Coates

doi dblp
Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs
Tobias Weller | Heiko Paulheim

doi dblp
Fairness-Aware Unsupervised Feature Selection
Xiaoying Xing | Hongfu Liu | Chen Chen | Jundong Li

doi dblp
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
Yichen Xu | Yanqiao Zhu | Feng Yu | Qiang Liu | Shu Wu

doi dblp
Relation-aware Heterogeneous Graph for User Profiling
Qilong Yan | Yufeng Zhang | Qiang Liu | Shu Wu | Liang Wang

doi dblp
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder
Hang Yang | Yubo Chen | Kang Liu | Jun Zhao | Taifeng Wang

doi dblp
GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution
Yonghao Gu | Liangxun Li

doi dblp
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback
HongChien Yu | Chenyan Xiong | Jamie Callan

doi dblp
Aspect Sentiment Triplet Extraction Using Reinforcement Learning
Samson Yu Bai Jian | Tapas Nayak | Navonil Majumder | Soujanya Poria

doi dblp
Storing Multi-model Data in RDBMSs based on Reinforcement Learning
Gongsheng Yuan | Jiaheng Lu | Shuxun Zhang | Zhengtong Yan

doi dblp
Multi-objective Privacy-preserving Text Representation Learning
Huixin Zhan | Kun Zhang | Chenyi Hu | Victor S. Sheng

doi dblp
Causally Attentive Collaborative Filtering
Jingsen Zhang | Xu Chen | Wayne Xin Zhao

doi dblp
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
Wenjia Zhang | Lin Gui | Yulan He

doi dblp
DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking
Xuanyu Zhang | Qing Yang

doi dblp
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
Zhenyu Zhang | Tao Guo | Meng Chen

doi dblp
Multimodal Graph Meta Contrastive Learning
Feng Zhao | Donglin Wang

doi dblp
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings
Hongkuan Zhou | James Orme-Rogers | Rajgopal Kannan | Viktor K. Prasanna

doi dblp
Subtractive Aggregation for Attributed Network Anomaly Detection
Shuang Zhou | Qiaoyu Tan | Zhiming Xu | Xiao Huang | Fu-Lai Chung

doi dblp
Tabular Data Concept Type Detection Using Star-Transformers
Yiwei Zhou | Siffi Singh | Christos Christodoulopoulos

doi dblp
REFINE: Random RangE FInder for Network Embedding
Hao Zhu | Piotr Koniusz

doi dblp
Self-Supervised Embedding for Subspace Clustering
Wenjie Zhu | Bo Peng | Chunchun Chen

doi dblp
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
Tavor Z. Baharav | Daniel L. Jiang | Kedarnath Kolluri | Sujay Sanghavi | Inderjit S. Dhillon

doi dblp
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture
Guy Barshatski | Galia Nordon | Kira Radinsky

doi dblp
AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining
Min Du | Wenjun Hu | William Hewlett

doi dblp
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection
Shangbin Feng | Herun Wan | Ningnan Wang | Jundong Li | Minnan Luo

doi dblp
Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach
Martin Gerlach | Marshall Miller | Rita Ho | Kosta Harlan | Djellel Eddine Difallah

doi dblp
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
Chuanbo Hu | Minglei Yin | Bin Liu | Xin Li | Yanfang Ye

doi dblp
ARGH!: Automated Rumor Generation Hub
Larry Huynh | Thai Nguyen | Joshua Goh | Hyoungshick Kim | Jin B. Hong

doi dblp
Prohibited Item Detection on Heterogeneous Risk Graphs
Yugang Ji | Chuan Shi | Xiao Wang

doi dblp
Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising
Yohay Kaplan | Naama Krasne | Alex Shtoff | Oren Somekh

doi dblp
Understanding Job Seeker Funnel for Search and Discovery Personalization
Nagaraj Kota | Venkatesh Duppada | Ashvini Jindal | Mohit Wadhwa

doi dblp
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
Zongtao Liu | Bin Ma | Quan Liu | Jian Xu | Bo Zheng

doi dblp
Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task
Patrice Lopez | Caifan Du | Johanna Cohoon | Karthik Ram | James Howison

doi dblp
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations
Rishabh Mehrotra

doi dblp
Prioritizing Original News on Facebook
Xiuyan Ni | Shujian Bu | Lucas Adams | Igor L. Markov

doi dblp
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry
Roee Shraga | Gil Katz | Yael Badian | Nitay Calderon | Avigdor Gal

doi dblp
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening
Ermal Toto | M. L. Tlachac | Elke A. Rundensteiner

doi dblp
WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia
Mykola Trokhymovych | Diego Sáez-Trumper

doi dblp
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus
Yun-Da Tsai | Cheng-Kuan Chen | Shou-De Lin

doi dblp
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation
Ruobing Xie | Shaoliang Zhang | Rui Wang | Feng Xia | Leyu Lin

doi dblp
Seasonal Relevance in E-Commerce Search
Haode Yang | Parth Gupta | Roberto Fernández Galán | Dan Bu | Dongmei Jia

doi dblp
Cascaded Deep Neural Ranking Models in LinkedIn People Search
Zimeng Yang | Song Yan | Abhimanyu Lad | Xiaowei Liu | Weiwei Guo

doi dblp
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting
Shun Zheng | Zhifeng Gao | Wei Cao | Jiang Bian | Tie-Yan Liu

doi dblp
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation
Negar Arabzadeh | Amin Bigdeli | Shirin Seyedsalehi | Morteza Zihayat | Ebrahim Bagheri

doi dblp
MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries
Negar Arabzadeh | Bhaskar Mitra | Ebrahim Bagheri

doi dblp
VidLife: A Dataset for Life Event Extraction from Videos
Tai-Te Chu | An-Zi Yen | Wei-Hong Ang | Hen-Hsen Huang | Hsin-Hsi Chen

doi dblp
CoST: An annotated Data Collection for Complex Search
Cheyenne Dosso | José G. Moreno | Aline Chevalier | Lynda Tamine

doi dblp
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs
Carsten Felix Draschner | Claus Stadler | Farshad Bakhshandegan Moghaddam | Jens Lehmann | Hajira Jabeen

doi dblp
WorldKG: A World-Scale Geographic Knowledge Graph
Alishiba Dsouza | Nicolas Tempelmeier | Ran Yu | Simon Gottschalk | Elena Demidova

doi dblp
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng | Herun Wan | Ningnan Wang | Jundong Li | Minnan Luo

doi dblp
Evaluating Graph Vulnerability and Robustness using TIGER
Scott Freitas | Diyi Yang | Srijan Kumar | Hanghang Tong | Duen Horng Chau

doi dblp
LC: A Flexible, Extensible Open-Source Toolkit for Model Compression
Yerlan Idelbayev | Miguel Á. Carreira-Perpiñán

doi dblp
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval
Craig Macdonald | Nicola Tonellotto | Sean MacAvaney | Iadh Ounis

doi dblp
QuaPy: A Python-Based Framework for Quantification
Alejandro Moreo | Andrea Esuli | Fabrizio Sebastiani

doi dblp
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law
Julien Rossi | Svitlana Vakulenko | Evangelos Kanoulas

doi dblp
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
David Schindler | Felix Bensmann | Stefan Dietze | Frank Krüger

doi dblp
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
Nicolas Tempelmeier | Simon Gottschalk | Elena Demidova

doi dblp
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Anh Tran | Tao Yang | Qingyao Ai

doi dblp
LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature
Haiwen Wang | Le Zhou | Weinan Zhang | Xinbing Wang

doi dblp
Machamp: A Generalized Entity Matching Benchmark
Jin Wang | Yuliang Li | Wataru Hirota

doi dblp
FairCORELS, an Open-Source Library for Learning Fair Rule Lists
Ulrich Aïvodji | Julien Ferry | Sébastien Gambs | Marie-José Huguet | Mohamed Siala

doi dblp
MVQAS: A Medical Visual Question Answering System
Haoyue Bai | Xiaoyan Shan | Yefan Huang | Xiaoli Wang

doi dblp
Landmark Explanation: An Explainer for Entity Matching Models
Andrea Baraldi | Francesco Del Buono | Matteo Paganelli | Francesco Guerra

doi dblp
Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference
Nifei Bi | Xiansen Chen | Chen Xu | Aoying Zhou

doi dblp
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia
Anton Chernyavskiy | Dmitry Ilvovsky | Preslav Nakov

doi dblp
DashBot: An ML-Guided Dashboard Generation System
Sandrine Da Col | Radu Ciucanu | Marta Soare | Nassim Bouarour | Sihem Amer-Yahia

doi dblp
SearchEHR: A Family History Search System for Clinical Decision Support
Xiang Dai | Maciej Rybinski | Sarvnaz Karimi

doi dblp
OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning
Roohollah Etemadi | Morteza Zihayat | Kuan Feng | Jason Adelman | Ebrahim Bagheri

doi dblp
An RDF Data Management System for Conflict Casualties
Yad Fatah | Mark Nourallah | Lynn Wahab | Fatima K. Abu Salem | Shady Elbassuoni

doi dblp
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories
Li He | Dingxian Wang | Hanzhang Wang | Hongxu Chen | Guandong Xu

doi dblp
HAO Unity: A Graph-based System for Unifying Heterogeneous Data
Fei Jie | Yanxiang Huang | Qiangwei Bai | Xindong Wu

doi dblp
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints
Maria Krommyda | Verena Kantere

doi dblp
CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking
Jieke Li | Min Yang | Chengming Li

doi dblp
Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food
Xiao Li | Huizhi Liang | Zehao Liu

doi dblp
IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks
Feng Luo | Yue Zhang | Xiaoli Wang

doi dblp
DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs
You Peng | Wenjie Zhao | Wenjie Zhang | Xuemin Lin | Ying Zhang

doi dblp
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning
Aurélien Personnaz | Sihem Amer-Yahia | Laure Berti-Équille | Maximilian Fabricius | Srividya Subramanian

doi dblp
A Semantic Data Marketplace for Easy Data Sharing within a Smart City
André Pomp | Alexander Paulus | Andreas Burgdorf | Tobias Meisen

doi dblp
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System
Zhiyuan Qi | Ziheng Zhang | Jiaoyan Chen | Xi Chen | Yefeng Zheng

doi dblp
A Sentiment and Style Controllable Approach for Chinese Poetry Generation
Yizhan Shao | Tong Shao | Minghao Wang | Peng Wang | Jie Gao

doi dblp
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods
Paras Sheth | Ujun Jeong | Ruocheng Guo | Huan Liu | K. Selçuk Candan

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Videolytics: System for Data Analytics of Video Streams
Tomás Skopal | Dominika Durisková | Petr Pechman | Marek Dobranský | Vladislav Khachaturian

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A Chinese Knowledge Base Question Answering System
Xiaona Xue | Jinling Jiang | Wenjian Zhang | Yanxiang Huang | Xindong Wu

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Form 10-Q Itemization
Yanci Zhang | Tianming Du | Yujie Sun | Lawrence Donohue | Rui Dai

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FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop
Zijian Zhang | Koustav Rudra | Avishek Anand

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SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data
Kechun Zhao | Hui Li | Zheng Gong | Jiangtao Cui

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AntOpt: A Multi-functional Large-scale Decision Optimization Platform
Jun Zhou | Yang Bao | Hua Wu | Zhigang Hua

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Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges
Joel Barajas | Narayan Bhamidipati | James G. Shanahan

doi dblp
Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond
Djellel Eddine Difallah | Alessandro Checco

doi dblp
Large-Scale Information Extraction under Privacy-Aware Constraints
Rajeev Gupta | Ranganath Kondapally

doi dblp
Fair Graph Mining
Jian Kang | Hanghang Tong

doi dblp
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems
Yunqi Li | Yingqiang Ge | Yongfeng Zhang

doi dblp
IR From Bag-of-words to BERT and Beyond through Practical Experiments
Craig Macdonald | Nicola Tonellotto | Sean MacAvaney

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Fake News, Disinformation, Propaganda, and Media Bias
Preslav Nakov | Giovanni Da San Martino

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Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Wenjie Ruan | Xinping Yi | Xiaowei Huang

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MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems
Marco Beccuti | Vincenzo Bonnici | Rosalba Giugno

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MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World
Srikanta Bedathur | Tanmoy Bhowmik | Nitendra Rajput | Karamjit Singh | Maneet Singh

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Learning to Quantify: Methods and Applications (LQ 2021)
Juan José del Coz | Pablo González | Alejandro Moreo | Fabrizio Sebastiani

doi dblp
THECOG - Transforms In Behavioral And Affective Computing
Georgios Drakopoulos | Eleanna Kafeza

doi dblp
IWILDS'21: Second International Workshop on Learning During Web Search
Anett Hoppe | Ran Yu | Irina R. Brich | Jiqun Liu

doi dblp
First Workshop on Knowledge Injection in Neural Networks (KINN)
Vasudev Lal | Somak Aditya | Yezhou Yang | Pasquale Minervini | Sandya Mannarswamy

doi dblp
Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond
Arijit Ukil | Leandro Marín | Antonio J. Jara | John R. Farserotu