| 2023 | Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. | Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo |
| 2023 | DataExpo: A One-Stop Dataset Service for Open Science Research. | Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2023 | Invariant Collaborative Filtering to Popularity Distribution Shift. | An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua |
| 2023 | Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. | Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan |
| 2023 | DANCE: Learning A Domain Adaptive Framework for Deep Hashing. | Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2023 | Unlearning Graph Classifiers with Limited Data Resources. | Chao Pan, Eli Chien, Olgica Milenkovic |
| 2023 | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. | Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2023 | Membership Inference Attacks Against Sequential Recommender Systems. | Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen |
| 2023 | Towards Explainable Collaborative Filtering with Taste Clusters Learning. | Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie |
| 2023 | A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. | Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua |
| 2023 | Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. | Bing He, Mustaque Ahamad, Srijan Kumar |
| 2023 | Two-Stage Constrained Actor-Critic for Short Video Recommendation. | Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | A Survey of General Ontologies for the Cross-Industry Domain of Circular Economy. | Huanyu Li, Mina Abd Nikooie Pour, Ying Li, Mikael Lindecrantz, Eva Blomqvist, Patrick Lambrix |
| 2023 | A Passage-Level Reading Behavior Model for Mobile Search. | Zhijing Wu, Jiaxin Mao, Kedi Xu, Dandan Song, Heyan Huang |
| 2023 | Enhancing Deep Knowledge Tracing with Auxiliary Tasks. | Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng |
| 2023 | Multi-aspect Diffusion Network Inference. | Hao Huang, Keqi Han, Beicheng Xu, Ting Gan |
| 2023 | Implementing an Environmental Management System Using Provenance-By-Design. | Luc Moreau, Nicola Hogan, Nick O'Donnell |
| 2023 | Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. | Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King |
| 2023 | Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. | Shweta Yadav, Stefan Cobeli, Cornelia Caragea |
| 2023 | Reinforcing User Retention in a Billion Scale Short Video Recommender System. | Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. | Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha |
| 2022 | WIKI'2022: 9th Annual Wiki Workshop. | Leila Zia, Robert West, Miriam Redi, Srijan Kumar, Emily Lescak |
| 2022 | A Gain-Tuning Dynamic Negative Sampler for Recommendation. | Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou |
| 2022 | Learning Explicit User Interest Boundary for Recommendation. | Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao |
| 2022 | Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak. | Assem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han, Meeyoung Cha |