| 2021 | Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. | Meng Liu, Yong Liu |
| 2021 | Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. | Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang |
| 2021 | New Insights into Metric Optimization for Ranking-based Recommendation. | Roger Zhe Li, Julin Urbano, Alan Hanjalic |
| 2021 | Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. | Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu |
| 2021 | Transformer-based Banking Products Recommender System. | Davide Liu, George Philippe Farajalla, Alexandre Boulenger |
| 2021 | Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs. | Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi |
| 2021 | Semi-Supervised Variational Reasoning for Medical Dialogue Generation. | Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke |
| 2021 | Glider: A Reinforcement Learning Approach to Extract UI Scripts from Websites. | Yuanchun Li, Oriana Riva |
| 2021 | Investigating Session Search Behavior with Knowledge Graphs. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. | Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang |
| 2021 | Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. | Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He |
| 2021 | Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. | Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira |
| 2021 | Mitigating Sentiment Bias for Recommender Systems. | Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li |
| 2021 | A Graph-Enhanced Click Model for Web Search. | Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu |
| 2021 | Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. | Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz |
| 2021 | Accelerating Neural Architecture Search for Natural Language Processing with Knowledge Distillation and Earth Mover's Distance. | Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Ruifeng Xu, Fengqing Qin |
| 2021 | Package Recommendation with Intra- and Inter-Package Attention Networks. | Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin |
| 2021 | Graph-Structured Context Understanding for Knowledge-grounded Response Generation. | Yanran Li, Wenjie Li, Zhitao Wang |
| 2021 | Towards an Online Empathetic Chatbot with Emotion Causes. | Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang |
| 2021 | Privacy-Aware Remote Information Retrieval User Experiments Logging Tool. | Hanyu Li, Hongyu Lu, Songhao Huang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma |
| 2021 | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. | Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | Tutorial on Fairness of Machine Learning in Recommender Systems. | Yunqi Li, Yingqiang Ge, Yongfeng Zhang |
| 2021 | KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. | Minghan Li, ric Gaussier |
| 2021 | Towards Personalized Fairness based on Causal Notion. | Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang |
| 2021 | Path-based Deep Network for Candidate Item Matching in Recommenders. | Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang |