| 2026 | ACL | Benchmarking and Learning Real-World Customer Service Dialogue. | Tianhong Gao, Jundong Shen, Jiapeng Wang, Bei Shi, Ying Ju, Junfeng Yao, Huiyu Yu |
| 2024 | CVPR | On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm. | Peng Sun, Bei Shi, Daiwei Yu, Tao Lin |
| 2021 | AAAI | A Theoretical Analysis of the Repetition Problem in Text Generation. | Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi |
| 2021 | IJCAI | Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. | Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen |
| 2020 | AAAI | Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. | Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang |
| 2020 | APWEB | WEKE: Learning Word Embeddings for Keyphrase Extraction. | Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang |
| 2020 | EMNLP | Partially-Aligned Data-to-Text Generation with Distant Supervision. | Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu |
| 2020 | IJCNLP | Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. | Zihao Fu, Bei Shi, Lidong Bing, Wai Lam |
| 2019 | AAAI | Word Embedding as Maximum A Posteriori Estimation. | Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert |
| 2019 | ICLR | DHER: Hindsight Experience Replay for Dynamic Goals. | Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang |
| 2018 | ACL | Transformation Networks for Target-Oriented Sentiment Classification. | Xin Li, Lidong Bing, Wai Lam, Bei Shi |
| 2018 | ACL | Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. | Bei Shi, Zihao Fu, Lidong Bing, Wai Lam |
| 2017 | SIGIR | Jointly Learning Word Embeddings and Latent Topics. | Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai |
| 2016 | ACL | Detecting Common Discussion Topics Across Culture From News Reader Comments. | Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu |
| 2016 | CIKM | Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. | Bei Shi, Wai Lam |
| 2016 | CIKM | Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. | Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu |
| 2016 | IJCAI | Location Based Services Recommendation with Budget Constraints. | Bei Shi, Hao Wei |
| 2015 | IJCAI | A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality. | Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam |
| 2014 | COLING | A Probabilistic Co-Bootstrapping Method for Entity Set Expansion. | Bei Shi, Zhenzhong Zhang, Le Sun, Xianpei Han |