| 2023 | "Just To See You Smile": SMILEY, a Voice-Guided GUY GAN. Qi Yang, Christos Tzelepis, Sergey I. Nikolenko, Ioannis Patras, Aleksandr Farseev |
| 2023 | 4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data Labeling. Dmitry Ustalov, Saiph Savage, Niels van Berkel, Yang Liu |
| 2023 | 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 |
| 2023 | A Causal View for Item-level Effect of Recommendation on User Preference. Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu |
| 2023 | 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 |
| 2023 | A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. Xu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang |
| 2023 | A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2023 | A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke |
| 2023 | 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 |
| 2023 | A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval. Shawon Sarkar, Chirag Shah |
| 2023 | A Tutorial on Domain Generalization. Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie |
| 2023 | 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 |
| 2023 | Active Ensemble Learning for Knowledge Graph Error Detection. Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao |
| 2023 | Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation. Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng |
| 2023 | AgAsk: A Conversational Search Agent for Answering Agricultural Questions. Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon |
| 2023 | Alleviating Structural Distribution Shift in Graph Anomaly Detection. Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang |
| 2023 | 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 |
| 2023 | An Open-Source Suite of Causal AI Tools and Libraries. Emre Kiciman |
| 2023 | AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2023 | Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. M. Eren Akbiyik, Mert Erkul, Killian Kämpf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin |
| 2023 | 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 |
| 2023 | AutoML for Deep Recommender Systems: Fundamentals and Advances. Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao |
| 2023 | BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs. Srinivas Virinchi, Anoop Saladi |
| 2023 | 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 |
| 2023 | 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 |
| 2023 | 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 |
| 2023 | Beyond-Accuracy Goals, Again. Maarten de Rijke |
| 2023 | Boosting Advertising Space: Designing Ad Auctions for Augment Advertising. Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Fan Wu, Guihai Chen |
| 2023 | 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 |
| 2023 | CL4CTR: A Contrastive Learning Framework for CTR Prediction. Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | CLNode: Curriculum Learning for Node Classification. Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu |
| 2023 | 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 |
| 2023 | Can Pre-trained Language Models Understand Chinese Humor? Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen |
| 2023 | Classification of Different Participating Entities in the Rise of Hateful Content in Social Media. Mithun Das |
| 2023 | CoQEx: Entity Counts Explained. Shrestha Ghosh, Simon Razniewski, Gerhard Weikum |
| 2023 | Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. Qingyu Bing, Qiannan Zhu, Zhicheng Dou |
| 2023 | Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings. Yaguang Liu, Lisa Singh |
| 2023 | Compliance Analyses of Australia's Online Household Appliances. Chang How Tan, Vincent C. S. Lee, Jessie Nghiem, Priya Laxman |
| 2023 | Concept-Oriented Transformers for Visual Sentiment Analysis. Quoc-Tuan Truong, Hady W. Lauw |
| 2023 | Considerations for Ethical Speech Recognition Datasets. Orestis Papakyriakopoulos, Alice Xiang |
| 2023 | Cooperative Explanations of Graph Neural Networks. Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua |
| 2023 | Counterfactual Collaborative Reasoning. Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang |
| 2023 | 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 |
| 2023 | 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 |
| 2023 | DOCoR: Document-level OpenIE with Coreference Resolution. Shan Jie Yong, Kuicai Dong, Aixin Sun |
| 2023 | Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data Interface. George Katsogiannis-Meimarakis, Mike Xydas, Georgia Koutrika |
| 2023 | Data-Efficient Graph Learning Meets Ethical Challenges. Tao Tang |
| 2023 | DeMEtRIS: Counting (near)-Cliques by Crawling. Suman K. Bera, Jayesh Choudhari, Shahrzad Haddadan, Sara Ahmadian |
| 2023 | Dependency-aware Self-training for Entity Alignment. Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon |
| 2023 | Developing and Evaluating Graph Counterfactual Explanation with GRETEL. Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo |
| 2023 | Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li |
| 2023 | 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 |
| 2023 | DisKeyword: Tweet Corpora Exploration for Keyword Selection. Sacha Lévy, Reihaneh Rabbany |
| 2023 | 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 |
| 2023 | Disentangled Negative Sampling for Collaborative Filtering. Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han |
| 2023 | Disentangled Representation for Diversified Recommendations. Xiaoying Zhang, Hongning Wang, Hang Li |
| 2023 | 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 |
| 2023 | EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator. Mingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan |
| 2023 | Effective Graph Kernels for Evolving Functional Brain Networks. Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu |
| 2023 | Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han |
| 2023 | Efficient Graph Learning for Anomaly Detection Systems. Falih Gozi Febrinanto |
| 2023 | 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 |
| 2023 | 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 |
| 2023 | ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. Jun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang |
| 2023 | Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu |
| 2023 | Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in Advertising. Xuejiao Yang, Binfeng Jia, Shuangyang Wang, Shijie Zhang |
| 2023 | Federated Unlearning for On-Device Recommendation. Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang |
| 2023 | Few-shot Node Classification with Extremely Weak Supervision. Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li |
| 2023 | FineSum: Target-Oriented, Fine-Grained Opinion Summarization. Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han |
| 2023 | Friendly Conditional Text Generator. Noriaki Kawamae |
| 2023 | From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors. Venus Haghighi |
| 2023 | GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan |
| 2023 | Generalizing Graph Neural Network across Graphs and Time. Zhihao Wen |
| 2023 | Generating Explainable Product Comparisons for Online Shopping. Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko |
| 2023 | Generative Slate Recommendation with Reinforcement Learning. Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke |
| 2023 | Global Counterfactual Explainer for Graph Neural Networks. Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh |
| 2023 | Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah |
| 2023 | Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang |
| 2023 | Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. Linhao Luo, Gholamreza Haffari, Shirui Pan |
| 2023 | Graph Summarization via Node Grouping: A Spectral Algorithm. Arpit Merchant, Michael Mathioudakis, Yanhao Wang |
| 2023 | Graphs: Privacy and Generation through ML. Rucha Bhalchandra Joshi |
| 2023 | Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin |
| 2023 | Hate Speech: Detection, Mitigation and Beyond. Punyajoy Saha, Mithun Das, Binny Mathew, Animesh Mukherjee |
| 2023 | Heterogeneous Graph Contrastive Learning for Recommendation. Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo |
| 2023 | Heterogeneous Graph-based Context-aware Document Ranking. Shuting Wang, Zhicheng Dou, Yutao Zhu |
| 2023 | IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation. Zhiqi Huang, Puxuan Yu, James Allan |
| 2023 | Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling. Jingkun Wang, Yongtao Jiang, Haochen Li, Wen Zhao |
| 2023 | 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 |
| 2023 | Inductive Graph Transformer for Delivery Time Estimation. Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung |
| 2023 | 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 R. Verbus, Mehmet N. Tek, Anthony McCosker |
| 2023 | International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang |
| 2023 | Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang |
| 2023 | Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin |
| 2023 | Knowledge-Adaptive Contrastive Learning for Recommendation. Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu |
| 2023 | Knowledge-Augmented Methods for Natural Language Processing. Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu |
| 2023 | Learning Stance Embeddings from Signed Social Graphs. John Pougué-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky |
| 2023 | Learning and Maximizing Influence in Social Networks Under Capacity Constraints. Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De |
| 2023 | Learning to Distill Graph Neural Networks. Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin |
| 2023 | 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 |
| 2023 | Learning to Infer Product Attribute Values From Descriptive Texts and Images. Pablo Montalvo, Aghiles Salah |
| 2023 | Learning to Understand Audio and Multimodal Content. Rosie Jones |
| 2023 | Local Edge Dynamics and Opinion Polarization. Nikita Bhalla, Adam Lechowicz, Cameron Musco |
| 2023 | Long-Document Cross-Lingual Summarization. Shaohui Zheng, Zhixu Li, Jiaan Wang, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen |
| 2023 | MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang |
| 2023 | MMBench: The Match Making Benchmark. Yongsheng Liu, Yanxing Qi, Jiangwei Zhang, Connie Kou, Qiaolin Chen |
| 2023 | MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong |
| 2023 | 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 |
| 2023 | Marginal-Certainty-Aware Fair Ranking Algorithm. Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai |
| 2023 | 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 |
| 2023 | MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. Shuai Wang, Hang Li, Guido Zuccon |
| 2023 | Meta Policy Learning for Cold-Start Conversational Recommendation. Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu |
| 2023 | Metropolitan-scale Mobility Digital Twin. Zipei Fan, Renhe Jiang, Ryosuke Shibasaki |
| 2023 | 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 |
| 2023 | Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. Xing Su, Jian Yang, Jia Wu, Yuchen Zhang |
| 2023 | Model-based Unbiased Learning to Rank. Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison |
| 2023 | 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 |
| 2023 | Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu |
| 2023 | Multi-queue Momentum Contrast for Microvideo-Product Retrieval. Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie |
| 2023 | Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce. Shilei Liu, Lin Li, Jun Song, Yonghua Yang, Xiaoyi Zeng |
| 2023 | 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 |
| 2023 | Natural and Artificial Dynamics in GNNs: A Tutorial. Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He |
| 2023 | Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution. SunYoung Park, Kyuri Choi, Haeun Yu, Youngjoong Ko |
| 2023 | Next-generation Challenges of Responsible Data Integration. Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish |
| 2023 | 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 |
| 2023 | Pairwise Fairness in Ranking as a Dissatisfaction Measure. Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega |
| 2023 | PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals. Zhihao Zhang, Siwen Luo, Junyi Chen, Sijia Lai, Siqu Long, Hyunsuk Chung, Soyeon Caren Han |
| 2023 | Position-Aware Subgraph Neural Networks with Data-Efficient Learning. Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding |
| 2023 | Preference-Based Offline Evaluation. Charles L. A. Clarke, Fernando Diaz, Negar Arabzadeh |
| 2023 | Privacy Aware Experiments without Cookies. Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha |
| 2023 | Privacy in the Time of Language Models. Charith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard S. Zemel, Rahul Gupta |
| 2023 | Proactive Conversational Agents. Lizi Liao, Grace Hui Yang, Chirag Shah |
| 2023 | 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 |
| 2023 | Range Restricted Route Recommendation Based on Spatial Keyword. Hongwei Tang, Detian Zhang |
| 2023 | 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 |
| 2023 | Recent Advances on Deep Learning based Knowledge Tracing. Zitao Liu, Jiahao Chen, Weiqi Luo |
| 2023 | 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 |
| 2023 | Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition. Xin Zhang, Jingling Yuan, Lin Li, Jianquan Liu |
| 2023 | Relation Preference Oriented High-order Sampling for Recommendation. Mukun Chen, Xiuwen Gong, YH Jin, Wenbin Hu |
| 2023 | 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 |
| 2023 | Responsible AI for Trusted AI-powered Enterprise Platforms. Steven C. H. Hoi |
| 2023 | Revisiting Code Search in a Two-Stage Paradigm. Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang |
| 2023 | Robust Training of Graph Neural Networks via Noise Governance. Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu |
| 2023 | 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 |
| 2023 | S2TUL: A Semi-Supervised Framework for Trajectory-User Linking. Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng |
| 2023 | SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen |
| 2023 | Scalable Adversarial Attack Algorithms on Influence Maximization. Lichao Sun, Xiaobin Rui, Wei Chen |
| 2023 | Search Behavior Prediction: A Hypergraph Perspective. Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian |
| 2023 | Self-Supervised Graph Structure Refinement for Graph Neural Networks. Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
| 2023 | Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan |
| 2023 | Self-supervised Graph Representation Learning for Black Market Account Detection. Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji |
| 2023 | Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni |
| 2023 | Self-supervision and Controlling Techniques to Improve Counter Speech Generation. Punyajoy Saha |
| 2023 | 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 |
| 2023 | SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things. Wei Emma Zhang, Adnan Mahmood, Lixin Deng, Minhao Zhu |
| 2023 | Simplifying Graph-based Collaborative Filtering for Recommendation. Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu |
| 2023 | 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 |
| 2023 | Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2023 | Slate-Aware Ranking for Recommendation. Yi Ren, Xiao Han, Xu Zhao, Shenzheng Zhang, Yan Zhang |
| 2023 | SmartCityBus - A Platform for Smart Transportation Systems. Georgios Bouloukakis, Chrysostomos Zeginis, Nikolaos Papadakis, Kostas Magoutis, George Christodoulou, Chrysanthi Kosyfaki, Konstantinos Lampropoulos, Nikos Mamoulis |
| 2023 | SoCraft: Advertiser-level Predictive Scoring for Creative Performance on Meta. Alfred Huang, Qi Yang, Sergey I. Nikolenko, Marlo Ongpin, Ilia Gossoudarev, Ngoc Yen Duong, Kirill Lepikhin, Sergey Vishnyakov, Yu-Yi Chu-Farseeva, Aleksandr Farseev |
| 2023 | Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation. Ankur Teredesai |
| 2023 | Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks. Yasushi Kawase, Atsushi Miyauchi, Hanna Sumita |
| 2023 | Student Behavior Pattern Mining and Analysis: Towards Smart Campuses. Teng Guo, Feng Xia |
| 2023 | Telecommunication Traffic Forecasting via Multi-task Learning. Xiaochuan Gou, Xiangliang Zhang |
| 2023 | The 3rd International Workshop on Machine Learning on Graphs (MLoG). Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan |
| 2023 | Towards Autonomous Driving. Ya-Qin Zhang |
| 2023 | Towards Faithful and Consistent Explanations for Graph Neural Networks. Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2023 | Towards Universal Cross-Domain Recommendation. Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang |
| 2023 | Towards an Event-Aware Urban Mobility Prediction System. Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki |
| 2023 | Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences. Veronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl |
| 2023 | Trustworthy Algorithmic Ranking Systems. Markus Schedl, Emilia Gómez, Elisabeth Lex |
| 2023 | UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases. Hiba Arnaout, Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum |
| 2023 | Unbiased Knowledge Distillation for Recommendation. Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He |
| 2023 | Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu |
| 2023 | Uncertainty Quantification for Fairness in Two-Stage Recommender Systems. Lequn Wang, Thorsten Joachims |
| 2023 | Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative Evaluation. Aleksandr Farseev |
| 2023 | Understanding the Effect of Outlier Items in E-commerce Ranking. Fatemeh Sarvi |
| 2023 | Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms. Maksimjeet Chowdhary, Sanyam Goyal, Venktesh V, Mukesh K. Mohania, Vikram Goyal |
| 2023 | UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems. Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang |
| 2023 | VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation. Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu |
| 2023 | Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. Aaron David Tucker, Thorsten Joachims |
| 2023 | 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 |
| 2023 | Visual Matching is Enough for Scene Text Retrieval. Lilong Wen, Yingrong Wang, Dongxiang Zhang, Gang Chen |
| 2023 | WSDM 2023 Workshop on Interactive Recommender Systems. Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang |
| 2023 | Weakly Supervised Entity Alignment with Positional Inspiration. Wei Tang, Fenglong Su, Haifeng Sun, Qi Qi, Jingyu Wang, Shimin Tao, Hao Yang |
| 2023 | Web of Conferences: A Conference Knowledge Graph. Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia |
| 2023 | 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 |