Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023
Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas (Editors)
- Anthology ID:
- 2023.wsdm_conference-2023
- Year:
- 2023
- Venue:
- wsdm_conference
- Publisher:
- ACM
- URL:
- https://doi.org/10.1145/3539597
- DOI:
- 10.1145/3539597
- DBLP:
- conf/wsdm/2023
Towards Autonomous Driving
Ya-Qin Zhang
Beyond-Accuracy Goals, Again
Maarten de Rijke
Learning to Understand Audio and Multimodal Content
Rosie Jones
Local Edge Dynamics and Opinion Polarization
Nikita Bhalla
|
Adam Lechowicz
|
Cameron Musco
Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution
Sunyoung Park
|
Kyuri Choi
|
Haeun Yu
|
Youngjoong Ko
Marginal-Certainty-Aware Fair Ranking Algorithm
Tao Yang
|
Zhichao Xu
|
Zhenduo Wang
|
Anh Tran
|
Qingyao Ai
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
Rishav Hada
|
Amir Ebrahimi Fard
|
Sarah Shugars
|
Federico Bianchi
|
Patrícia G. C. Rossini
|
Dirk Hovy
|
Rebekah Tromble
|
Nava Tintarev
BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs
Srinivas Virinchi
|
Anoop Saladi
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks
Xing Su
|
Jian Yang
|
Jia Wu
|
Yuchen Zhang
Simplifying Graph-based Collaborative Filtering for Recommendation
Li He
|
Xianzhi Wang
|
Dingxian Wang
|
Haoyuan Zou
|
Hongzhi Yin
|
Guandong Xu
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation
Kang Li
|
Chang-Dong Wang
|
Jian-Huang Lai
|
Huaqiang Yuan
Towards Universal Cross-Domain Recommendation
Jiangxia Cao
|
Shaoshuai Li
|
Bowen Yu
|
Xiaobo Guo
|
Tingwen Liu
|
Bin Wang
A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping
Mozhdeh Ariannezhad
|
Ming Li
|
Sebastian Schelter
|
Maarten de Rijke
Disentangled Negative Sampling for Collaborative Filtering
Riwei Lai
|
Li Chen
|
Yuhan Zhao
|
Rui Chen
|
Qilong Han
Relation Preference Oriented High-order Sampling for Recommendation
Mukun Chen
|
Xiuwen Gong
|
YH Jin
|
Wenbin Hu
Minimum Entropy Principle Guided Graph Neural Networks
Zhenyu Yang
|
Ge Zhang
|
Jia Wu
|
Jian Yang
|
Quan Z. Sheng
|
Hao Peng
|
Angsheng Li
|
Shan Xue
|
Jianlin Su
Learning to Distill Graph Neural Networks
Cheng Yang
|
Yuxin Guo
|
Yao Xu
|
Chuan Shi
|
Jiawei Liu
|
Chunchen Wang
|
Xin Li
|
Ning Guo
|
Hongzhi Yin
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Wendong Bi
|
Lun Du
|
Qiang Fu
|
Yanlin Wang
|
Shi Han
|
Dongmei Zhang
Global Counterfactual Explainer for Graph Neural Networks
Zexi Huang
|
Mert Kosan
|
Sourav Medya
|
Sayan Ranu
|
Ambuj K. Singh
Effective Graph Kernels for Evolving Functional Brain Networks
Xinlei Wang
|
Jinyi Chen
|
Bing Tian Dai
|
Junchang Xin
|
Yu Gu
|
Ge Yu
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
|
Qianlong Wen
|
Mingxuan Ju
|
Chuxu Zhang
|
Yanfang Ye
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Peiyan Zhang
|
Jiayan Guo
|
Chaozhuo Li
|
Yueqi Xie
|
Jaeboum Kim
|
Yan Zhang
|
Xing Xie
|
Haohan Wang
|
Sunghun Kim
Learning Stance Embeddings from Signed Social Graphs
John Pougué-Biyong
|
Akshay Gupta
|
Aria Haghighi
|
Ahmed El-Kishky
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning
Tianchi Cai
|
Jiyan Jiang
|
Wenpeng Zhang
|
Shiji Zhou
|
Xierui Song
|
Li Yu
|
Lihong Gu
|
Xiaodong Zeng
|
Jinjie Gu
|
Guannan Zhang
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
|
Yi Liu
|
Bohan Li
|
Hongzhi Yin
Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation
Jiarui Qin
|
Jiachen Zhu
|
Yankai Liu
|
Junchao Gao
|
Jianjie Ying
|
Chaoxiong Liu
|
Ding Wang
|
Junlan Feng
|
Chao Deng
|
Xiaozheng Wang
|
Jian Jiang
|
Cong Liu
|
Yong Yu
|
Haitao Zeng
|
Weinan Zhang
Range Restricted Route Recommendation Based on Spatial Keyword
Hongwei Tang
|
Detian Zhang
Meta Policy Learning for Cold-Start Conversational Recommendation
Zhendong Chu
|
Hongning Wang
|
Yun Xiao
|
Bo Long
|
Lingfei Wu
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Xiaoyu Zhang
|
Xin Xin
|
Dongdong Li
|
Wenxuan Liu
|
Pengjie Ren
|
Zhumin Chen
|
Jun Ma
|
Zhaochun Ren
A Causal View for Item-level Effect of Recommendation on User Preference
Wei Cai
|
Fuli Feng
|
Qifan Wang
|
Tian Yang
|
Zhenguang Liu
|
Congfu Xu
Counterfactual Collaborative Reasoning
Jianchao Ji
|
Zelong Li
|
Shuyuan Xu
|
Max Xiong
|
Juntao Tan
|
Yingqiang Ge
|
Hao Wang
|
Yongfeng Zhang
NGAME: Negative Mining-aware Mini-batching for Extreme Classification
Kunal Dahiya
|
Nilesh Gupta
|
Deepak Saini
|
Akshay Soni
|
Yajun Wang
|
Kushal Dave
|
Jian Jiao
|
Gururaj K
|
Prasenjit Dey
|
Amit Singh
|
Deepesh Hada
|
Vidit Jain
|
Bhawna Paliwal
|
Anshul Mittal
|
Sonu Mehta
|
Ramachandran Ramjee
|
Sumeet Agarwal
|
Purushottam Kar
|
Manik Varma
Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation
Xuanhao Chen
|
Liwei Deng
|
Yan Zhao
|
Kai Zheng
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
|
Yushun Dong
|
Kaize Ding
|
Chen Chen
|
Jundong Li
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
Donghyun Son
|
Byounggyu Lew
|
Kwanghee Choi
|
Yongsu Baek
|
Seungwoo Choi
|
Beomjun Shin
|
Sungjoo Ha
|
Buru Chang
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework
Xu Wang
|
Lianliang Chen
|
Hongbo Zhang
|
Pengkun Wang
|
Zhengyang Zhou
|
Yang Wang
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering
Chakib Fettal
|
Lazhar Labiod
|
Mohamed Nadif
DeMEtRIS: Counting (near)-Cliques by Crawling
Suman K. Bera
|
Jayesh Choudhari
|
Shahrzad Haddadan
|
Sara Ahmadian
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs
Qiang Yang
|
Changsheng Ma
|
Qiannan Zhang
|
Xin Gao
|
Chuxu Zhang
|
Xiangliang Zhang
Self-supervised Graph Representation Learning for Black Market Account Detection
Zequan Xu
|
Lianyun Li
|
Hui Li
|
Qihang Sun
|
Shaofeng Hu
|
Rongrong Ji
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu
|
Kaize Ding
|
Huan Liu
|
Shirui Pan
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference
Yiwei Wang
|
Bryan Hooi
|
Yozen Liu
|
Neil Shah
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Yuan Gao
|
Xiang Wang
|
Xiangnan He
|
Zhenguang Liu
|
Huamin Feng
|
Yongdong Zhang
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Chenglin Li
|
Yuanzhen Xie
|
Chenyun Yu
|
Bo Hu
|
Zang Li
|
Guoqiang Shu
|
Xiaohu Qie
|
Di Niu
S2TUL: A Semi-Supervised Framework for Trajectory-User Linking
Liwei Deng
|
Hao Sun
|
Yan Zhao
|
Shuncheng Liu
|
Kai Zheng
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
Feifan Li
|
Lun Du
|
Qiang Fu
|
Shi Han
|
Yushu Du
|
Guangming Lu
|
Zi Li
Federated Unlearning for On-Device Recommendation
Wei Yuan
|
Hongzhi Yin
|
Fangzhao Wu
|
Shijie Zhang
|
Tieke He
|
Hao Wang
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation
Qingyu Bing
|
Qiannan Zhu
|
Zhicheng Dou
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation
Xuewei Li
|
Aitong Sun
|
Mankun Zhao
|
Jian Yu
|
Kun Zhu
|
Di Jin
|
Mei Yu
|
Ruiguo Yu
Friendly Conditional Text Generator
Noriaki Kawamae
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts
Yu Zhang
|
Yunyi Zhang
|
Martin Michalski
|
Yucheng Jiang
|
Yu Meng
|
Jiawei Han
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning
Ziyun Xu
|
Chengyu Wang
|
Minghui Qiu
|
Fuli Luo
|
Runxin Xu
|
Songfang Huang
|
Jun Huang
Visual Matching is Enough for Scene Text Retrieval
Lilong Wen
|
Yingrong Wang
|
Dongxiang Zhang
|
Gang Chen
AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models
Xiaodan Wang
|
Lei Li
|
Zhixu Li
|
Xuwu Wang
|
Xiangru Zhu
|
Chengyu Wang
|
Jun Huang
|
Yanghua Xiao
Can Pre-trained Language Models Understand Chinese Humor?
Yuyan Chen
|
Zhixu Li
|
Jiaqing Liang
|
Yanghua Xiao
|
Bang Liu
|
Yunwen Chen
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation
Jing Du
|
Zesheng Ye
|
Bin Guo
|
Zhiwen Yu
|
Lina Yao
Disentangled Representation for Diversified Recommendations
Xiaoying Zhang
|
Hongning Wang
|
Hang Li
Slate-Aware Ranking for Recommendation
Yi Ren
|
Xiao Han
|
Xu Zhao
|
Shenzheng Zhang
|
Yan Zhang
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
Yifang Qin
|
Yifan Wang
|
Fang Sun
|
Wei Ju
|
Xuyang Hou
|
Zhe Wang
|
Jia Cheng
|
Jun Lei
|
Ming Zhang
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation
Senrong Xu
|
Liangyue Li
|
Yuan Yao
|
Zulong Chen
|
Han Wu
|
Quan Lu
|
Hanghang Tong
VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation
Lingyun Lu
|
Bang Wang
|
Zizhuo Zhang
|
Shenghao Liu
|
Han Xu
Knowledge-Adaptive Contrastive Learning for Recommendation
Hao Wang
|
Yao Xu
|
Cheng Yang
|
Chuan Shi
|
Xin Li
|
Ning Guo
|
Zhiyuan Liu
Heterogeneous Graph Contrastive Learning for Recommendation
Mengru Chen
|
Chao Huang
|
Lianghao Xia
|
Wei Wei
|
Yong Xu
|
Ronghua Luo
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation
Zihao Li
|
Xianzhi Wang
|
Chao Yang
|
Lina Yao
|
Julian J. McAuley
|
Guandong Xu
Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling
Jingkun Wang
|
Yongtao Jiang
|
Haochen Li
|
Wen Zhao
Calibrated Recommendations as a Minimum-Cost Flow Problem
Himan Abdollahpouri
|
Zahra Nazari
|
Alex Gain
|
Clay Gibson
|
Maria Dimakopoulou
|
Jesse Anderton
|
Benjamin A. Carterette
|
Mounia Lalmas
|
Tony Jebara
Generative Slate Recommendation with Reinforcement Learning
Romain Deffayet
|
Thibaut Thonet
|
Jean-Michel Renders
|
Maarten de Rijke
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation
Boyu Li
|
Ting Guo
|
Xingquan Zhu
|
Qian Li
|
Yang Wang
|
Fang Chen
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System
Chenxu Zhu
|
Bo Chen
|
Huifeng Guo
|
Hang Xu
|
Xiangyang Li
|
Xiangyu Zhao
|
Weinan Zhang
|
Yong Yu
|
Ruiming Tang
Robust Training of Graph Neural Networks via Noise Governance
Siyi Qian
|
Haochao Ying
|
Renjun Hu
|
Jingbo Zhou
|
Jintai Chen
|
Danny Z. Chen
|
Jian Wu
Cooperative Explanations of Graph Neural Networks
Junfeng Fang
|
Xiang Wang
|
An Zhang
|
Zemin Liu
|
Xiangnan He
|
Tat-Seng Chua
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection
Qiaoyu Tan
|
Xin Zhang
|
Ninghao Liu
|
Daochen Zha
|
Li Li
|
Rui Chen
|
Soo-Hyun Choi
|
Xia Hu
Towards Faithful and Consistent Explanations for Graph Neural Networks
Tianxiang Zhao
|
Dongsheng Luo
|
Xiang Zhang
|
Suhang Wang
Position-Aware Subgraph Neural Networks with Data-Efficient Learning
Chang Liu
|
Yuwen Yang
|
Zhe Xie
|
Hongtao Lu
|
Yue Ding
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution
Shenggui Tang
|
Kaixuan Yao
|
Jianqing Liang
|
Zhiqiang Wang
|
Jiye Liang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
Liangwei Yang
|
Shengjie Wang
|
Yunzhe Tao
|
Jiankai Sun
|
Xiaolong Liu
|
Philip S. Yu
|
Taiqing Wang
CLNode: Curriculum Learning for Node Classification
Xiaowen Wei
|
Xiuwen Gong
|
Yibing Zhan
|
Bo Du
|
Yong Luo
|
Wenbin Hu
Inductive Graph Transformer for Delivery Time Estimation
Xin Zhou
|
Jinglong Wang
|
Yong Liu
|
Xingyu Wu
|
Zhiqi Shen
|
Cyril Leung
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data
M. Eren Akbiyik
|
Mert Erkul
|
Killian Kämpf
|
Vaiva Vasiliauskaite
|
Nino Antulov-Fantulin
Search Behavior Prediction: A Hypergraph Perspective
Yan Han
|
Edward W. Huang
|
Wenqing Zheng
|
Nikhil Rao
|
Zhangyang Wang
|
Karthik Subbian
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter
Usman Naseem
|
Jinman Kim
|
Matloob Khushi
|
Adam G. Dunn
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Zhen Tian
|
Ting Bai
|
Zibin Zhang
|
Zhiyuan Xu
|
Kangyi Lin
|
Ji-Rong Wen
|
Wayne Xin Zhao
Heterogeneous Graph-based Context-aware Document Ranking
Shuting Wang
|
Zhicheng Dou
|
Yutao Zhu
Learning and Maximizing Influence in Social Networks Under Capacity Constraints
Pritish Chakraborty
|
Sayan Ranu
|
Krishna Sri Ipsit Mantri
|
Abir De
Graph Summarization via Node Grouping: A Spectral Algorithm
Arpit Merchant
|
Michael Mathioudakis
|
Yanhao Wang
Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups
Gongzhu Yin
|
Xing Wang
|
Hongli Zhang
|
Chao Meng
|
Yuchen Yang
|
Kun Lu
|
Yi Luo
Scalable Adversarial Attack Algorithms on Influence Maximization
Lichao Sun
|
Xiaobin Rui
|
Wei Chen
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph
Mingdai Yang
|
Zhiwei Liu
|
Liangwei Yang
|
Xiaolong Liu
|
Chen Wang
|
Hao Peng
|
Philip S. Yu
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
Linhao Luo
|
Gholamreza Haffari
|
Shirui Pan
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking
Qiaoyu Tan
|
Ninghao Liu
|
Xiao Huang
|
Soo-Hyun Choi
|
Li Li
|
Rui Chen
|
Xia Hu
Dependency-aware Self-training for Entity Alignment
Bing Liu
|
Tiancheng Lan
|
Wen Hua
|
Guido Zuccon
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fangye Wang
|
Yingxu Wang
|
Dongsheng Li
|
Hansu Gu
|
Tun Lu
|
Peng Zhang
|
Ning Gu
Weakly Supervised Entity Alignment with Positional Inspiration
Wei Tang
|
Fenglong Su
|
Haifeng Sun
|
Qi Qi
|
Jingyu Wang
|
Shimin Tao
|
Hao Yang
Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering
Alex Deng
|
Lo-Hua Yuan
|
Naoya Kanai
|
Alexandre Salama-Manteau
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark
Zhenran Xu
|
Zifei Shan
|
Yuxin Li
|
Baotian Hu
|
Bing Qin
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Nihal Jain
|
Praneetha Vaddamanu
|
Paridhi Maheshwari
|
Vishwa Vinay
|
Kuldeep Kulkarni
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Thanh Trung Huynh
|
Minh Hieu Nguyen
|
Thanh Tam Nguyen
|
Phi Le Nguyen
|
Matthias Weidlich
|
Quoc Viet Hung Nguyen
|
Karl Aberer
Telecommunication Traffic Forecasting via Multi-task Learning
Xiaochuan Gou
|
Xiangliang Zhang
Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings
Yaguang Liu
|
Lisa Singh
Active Ensemble Learning for Knowledge Graph Error Detection
Junnan Dong
|
Qinggang Zhang
|
Xiao Huang
|
Qiaoyu Tan
|
Daochen Zha
|
Zihao Zhao
Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks
Yasushi Kawase
|
Atsushi Miyauchi
|
Hanna Sumita
Model-based Unbiased Learning to Rank
Dan Luo
|
Lixin Zou
|
Qingyao Ai
|
Zhiyu Chen
|
Dawei Yin
|
Brian D. Davison
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting
Xiaosu Wang
|
Yun Xiong
|
Beichen Kang
|
Yao Zhang
|
Philip S. Yu
|
Yangyong Zhu
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking
Haiyuan Zhao
|
Jun Xu
|
Xiao Zhang
|
Guohao Cai
|
Zhenhua Dong
|
Ji-Rong Wen
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Cheng Ji
|
Jianxin Li
|
Hao Peng
|
Jia Wu
|
Xingcheng Fu
|
Qingyun Sun
|
Philip S. Yu
Pairwise Fairness in Ranking as a Dissatisfaction Measure
Alessandro Fabris
|
Gianmaria Silvello
|
Gian Antonio Susto
|
Asia J. Biega
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Lequn Wang
|
Thorsten Joachims
Generating Explainable Product Comparisons for Online Shopping
Nikhita Vedula
|
Marcus D. Collins
|
Eugene Agichtein
|
Oleg Rokhlenko
Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition
Xin Zhang
|
Jingling Yuan
|
Lin Li
|
Jianquan Liu
Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits
Aaron David Tucker
|
Thorsten Joachims
Unbiased Knowledge Distillation for Recommendation
Gang Chen
|
Jiawei Chen
|
Fuli Feng
|
Sheng Zhou
|
Xiangnan He
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
Canzhe Zhao
|
Yanjie Ze
|
Jing Dong
|
Baoxiang Wang
|
Shuai Li
Revisiting Code Search in a Two-Stage Paradigm
Fan Hu
|
Yanlin Wang
|
Lun Du
|
Xirong Li
|
Hongyu Zhang
|
Shi Han
|
Dongmei Zhang
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
Yali Du
|
Yinwei Wei
|
Wei Ji
|
Fan Liu
|
Xin Luo
|
Liqiang Nie
Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC)
Arindam Bhattacharya
|
Ankit Gandhi
|
Vijay Huddar
|
Ankith M. S
|
Aayush Moroney
|
Atul Saroop
|
Rahul Bhagat
Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval
Taiqiang Wu
|
Xingyu Bai
|
Weigang Guo
|
Weijie Liu
|
Siheng Li
|
Yujiu Yang
Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in Advertising
Xuejiao Yang
|
Binfeng Jia
|
Shuangyang Wang
|
Shijie Zhang
Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce
Shilei Liu
|
Lin Li
|
Jun Song
|
Yonghua Yang
|
Xiaoyi Zeng
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation
Zhiqi Huang
|
Puxuan Yu
|
James Allan
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
Lingyue Fu
|
Jianghao Lin
|
Weiwen Liu
|
Ruiming Tang
|
Weinan Zhang
|
Rui Zhang
|
Yong Yu
Boosting Advertising Space: Designing Ad Auctions for Augment Advertising
Yangsu Liu
|
Dagui Chen
|
Zhenzhe Zheng
|
Zhilin Zhang
|
Chuan Yu
|
Fan Wu
|
Guihai Chen
A Bird's-eye View of Reranking: From List Level to Page Level
Yunjia Xi
|
Jianghao Lin
|
Weiwen Liu
|
Xinyi Dai
|
Weinan Zhang
|
Rui Zhang
|
Ruiming Tang
|
Yong Yu
Long-Document Cross-Lingual Summarization
Shaohui Zheng
|
Zhixu Li
|
Jiaan Wang
|
Jianfeng Qu
|
An Liu
|
Lei Zhao
|
Zhigang Chen
FineSum: Target-Oriented, Fine-Grained Opinion Summarization
Suyu Ge
|
Jiaxin Huang
|
Yu Meng
|
Jiawei Han
EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator
Mingzhe Li
|
Xiuying Chen
|
Weiheng Liao
|
Yang Song
|
Tao Zhang
|
Dongyan Zhao
|
Rui Yan
Concept-Oriented Transformers for Visual Sentiment Analysis
Quoc-Tuan Truong
|
Hady W. Lauw
UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases
Hiba Arnaout
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Tuan-Phong Nguyen
|
Simon Razniewski
|
Gerhard Weikum
A Framework for Detecting Frauds from Extremely Few Labels
Ya-Lin Zhang
|
Yi-Xuan Sun
|
Fangfang Fan
|
Meng Li
|
Yeyu Zhao
|
Wei Wang
|
Longfei Li
|
Jun Zhou
|
Jinghua Feng
MMBench: The Match Making Benchmark
Yongsheng Liu
|
Yanxing Qi
|
Jiangwei Zhang
|
Connie Kou
|
Qiaolin Chen
SoCraft: Advertiser-level Predictive Scoring for Creative Performance on Meta
Alfred Huang
|
Qi Yang
|
Sergey I. Nikolenko
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Marlo Ongpin
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Ilia Gossoudarev
|
Ngoc Yen Duong
|
Kirill Lepikhin
|
Sergey Vishnyakov
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Yu-Yi Chu-Farseeva
|
Aleksandr Farseev
DisKeyword: Tweet Corpora Exploration for Keyword Selection
Sacha Lévy
|
Reihaneh Rabbany
AgAsk: A Conversational Search Agent for Answering Agricultural Questions
Hang Li
|
Bevan Koopman
|
Ahmed Mourad
|
Guido Zuccon
Privacy Aware Experiments without Cookies
Shiv Shankar
|
Ritwik Sinha
|
Saayan Mitra
|
Viswanathan (Vishy) Swaminathan
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Sridhar Mahadevan
|
Moumita Sinha
ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling
Jun Zhou
|
Ke Zhang
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Feng Zhu
|
Qitao Shi
|
Wenjing Fang
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Lin Wang
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Yi Wang
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals
Zhihao Zhang
|
Siwen Luo
|
Junyi Chen
|
Sijia Lai
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Siqu Long
|
Hyunsuk Chung
|
Soyeon Caren Han
A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval
Shawon Sarkar
|
Chirag Shah
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems
Jafar Afzali
|
Aleksander Mark Drzewiecki
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Krisztian Balog
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Shuo Zhang
Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences
Veronika Arefieva
|
Roman Egger
|
Michael Schrefl
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Markus Schedl
CoQEx: Entity Counts Explained
Shrestha Ghosh
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Simon Razniewski
|
Gerhard Weikum
Web of Conferences: A Conference Knowledge Graph
Shuo Yu
|
Ciyuan Peng
|
Chengchuan Xu
|
Chen Zhang
|
Feng Xia
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction
Shuai Wang
|
Hang Li
|
Guido Zuccon
Developing and Evaluating Graph Counterfactual Explanation with GRETEL
Mario Alfonso Prado-Romero
|
Bardh Prenkaj
|
Giovanni Stilo
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network
Yi Ding
|
Jun Zhou
|
Qing Cui
|
Lin Wang
|
Mengqi Zhang
|
Yang Dong
SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things
Wei Emma Zhang
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Adnan Mahmood
|
Lixin Deng
|
Minhao Zhu
AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios
Jianping Wei
|
Zhibo Zhu
|
Ziqi Liu
|
Zhiqiang Zhang
|
Jun Zhou
"Just To See You Smile": SMILEY, a Voice-Guided GUY GAN
Qi Yang
|
Christos Tzelepis
|
Sergey Nikolenko
|
Ioannis Patras
|
Aleksandr Farseev
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms
Maksimjeet Chowdhary
|
Sanyam Goyal
|
Venktesh V
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Mukesh K. Mohania
|
Vikram Goyal
DOCoR: Document-level OpenIE with Coreference Resolution
Shan Jie Yong
|
Kuicai Dong
|
Aixin Sun
A Semantic Search Framework for Similar Audit Issue Recommendation in Financial Industry
Chuchu Zhang
|
Can Song
|
Samarth Agarwal
|
Huayu Wu
|
Xuejie Zhang
|
John Jianan Lu
Classification of Different Participating Entities in the Rise of Hateful Content in Social Media
Mithun Das
Generalizing Graph Neural Network across Graphs and Time
Zhihao Wen
Graphs: Privacy and Generation through ML
Rucha Bhalchandra Joshi
Data-Efficient Graph Learning Meets Ethical Challenges
Tao Tang
From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors
Venus Haghighi
Efficient Graph Learning for Anomaly Detection Systems
Falih Gozi Febrinanto
Self-supervision and Controlling Techniques to Improve Counter Speech Generation
Punyajoy Saha
Understanding the Effect of Outlier Items in E-commerce Ranking
Fatemeh Sarvi
Knowledge-Augmented Methods for Natural Language Processing
Chenguang Zhu
|
Yichong Xu
|
Xiang Ren
|
Bill Yuchen Lin
|
Meng Jiang
|
Wenhao Yu
Hate Speech: Detection, Mitigation and Beyond
Punyajoy Saha
|
Mithun Das
|
Binny Mathew
|
Animesh Mukherjee
A Tutorial on Domain Generalization
Jindong Wang
|
Haoliang Li
|
Sinno Jialin Pan
|
Xing Xie
Trustworthy Algorithmic Ranking Systems
Markus Schedl
|
Emilia Gómez
|
Elisabeth Lex
Proactive Conversational Agents
Lizi Liao
|
Grace Hui Yang
|
Chirag Shah
Preference-Based Offline Evaluation
Charles L. A. Clarke
|
Fernando Diaz
|
Negar Arabzadeh
Natural and Artificial Dynamics in GNNs: A Tutorial
Dongqi Fu
|
Zhe Xu
|
Hanghang Tong
|
Jingrui He
Next-generation Challenges of Responsible Data Integration
Fatemeh Nargesian
|
Abolfazl Asudeh
|
H. V. Jagadish
Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data Interface
George Katsogiannis-Meimarakis
|
Mike Xydas
|
Georgia Koutrika
AutoML for Deep Recommender Systems: Fundamentals and Advances
Ruiming Tang
|
Bo Chen
|
Yejing Wang
|
Huifeng Guo
|
Yong Liu
|
Wenqi Fan
|
Xiangyu Zhao
4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data Labeling
Dmitry Ustalov
|
Saiph Savage
|
Niels van Berkel
|
Yang Liu
Integrity 2023: Integrity in Social Networks and Media
Lluís Garcia Pueyo
|
Panayiotis Tsaparas
|
Prathyusha Senthil Kumar
|
Timos Sellis
|
Paolo Papotti
|
Sibel Adali
|
Giuseppe Manco
|
Tudor Trufinescu
|
Gireeja Ranade
|
James Verbus
|
Mehmet N. Tek
|
Anthony McCosker
The 3rd International Workshop on Machine Learning on Graphs (MLoG)
Tyler Derr
|
Yao Ma
|
Benedek Rozemberczki
|
Neil Shah
|
Shirui Pan
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning
Qing Li
|
Xiao Huang
|
Ninghao Liu
|
Yuxiao Dong
|
Guansong Pang
WSDM 2023 Workshop on Interactive Recommender Systems
Yong Liu
|
Hao Zhang
|
Zhu Sun
|
Shoujin Wang
|
Jie Zhang
Responsible AI for Trusted AI-powered Enterprise Platforms
Steven C. H. Hoi
Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast
Breck Baldwin
|
Lauren Reese
|
Liming Zhang
|
Jan Neumann
|
Taylor Cassidy
|
Michael Pereira
|
G. Craig Murray
|
Kishorekumar Sundararajan
|
Yidnekachew Endale
|
Pramod Kadagattor
|
Paul Wolfe
|
Brian Aiken
|
Tony Braskich
|
Donte Jiggetts
|
Adam Sloan
|
Esther Vaturi
|
Crystal Pender
|
Ferhan Ture
Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative Evaluation
Aleksandr Farseev
An Open-Source Suite of Causal AI Tools and Libraries
Emre Kiciman
Compliance Analyses of Australia's Online Household Appliances
Chang How Tan
|
Vincent C. S. Lee
|
Jessie Nghiem
|
Priya Laxman
Considerations for Ethical Speech Recognition Datasets
Orestis Papakyriakopoulos
|
Alice Xiang
Incorporating Fairness in Large Scale NLU Systems
Rahul Gupta
|
Lisa Bauer
|
Kai-Wei Chang
|
Jwala Dhamala
|
Aram Galstyan
|
Palash Goyal
|
Qian Hu
|
Avni Khatri
|
Rohit Parimi
|
Charith Peris
|
Apurv Verma
|
Richard S. Zemel
|
Prem Natarajan
Privacy in the Time of Language Models
Charith Peris
|
Christophe Dupuy
|
Jimit Majmudar
|
Rahil Parikh
|
Sami Smaili
|
Richard Zemel
|
Rahul Gupta
Learning to Infer Product Attribute Values From Descriptive Texts and Images
Pablo Montalvo
|
Aghiles Salah
Recent Advances on Deep Learning based Knowledge Tracing
Zitao Liu
|
Jiahao Chen
|
Weiqi Luo
Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation
Ankur Teredesai
SmartCityBus - A Platform for Smart Transportation Systems
Georgios Bouloukakis
|
Chrysostomos Zeginis
|
Nikolaos Papadakis
|
Kostas Magoutis
|
George Christodoulou
|
Chrysanthi Kosyfaki
|
Konstantinos Lampropoulos
|
Nikos Mamoulis
Metropolitan-scale Mobility Digital Twin
Zipei Fan
|
Renhe Jiang
|
Ryosuke Shibasaki
Towards an Event-Aware Urban Mobility Prediction System
Zhaonan Wang
|
Renhe Jiang
|
Zipei Fan
|
Xuan Song
|
Ryosuke Shibasaki
Student Behavior Pattern Mining and Analysis: Towards Smart Campuses
Teng Guo
|
Feng Xia