Shi, Bei

9 publications

CVPR 2024 On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun, Bei Shi, Daiwei Yu, Tao Lin

AAAI 2021 A Theoretical Analysis of the Repetition Problem in Text Generation Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

IJCAI 2021 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

NeurIPS 2021 Learning Diverse Policies in MOBA Games via Macro-Goals Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang

AAAI 2020 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

NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

ICLR 2019 DHER: Hindsight Experience Replay for Dynamic Goals Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang

AAAI 2019 Word Embedding as Maximum a Posteriori Estimation Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert

IJCAI 2015 A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam