Bei Shi - RankMe

42 papers A* 9A 2B 1Journal 14Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	OlaMind: Towards Human-Like and Hallucination-Safe Customer Service for Retrieval-Augmented Dialogue. CoRR Tianhong Gao, Jundong Shen, Bei Shi, Jiapeng Wang, Ying Ju, Junfeng Yao, Jiao Ran, Yong Zhang, Lin Dong, Huiyu Yu, Tingting Ye
2025	—	`conf`	Tunable Quantum Dot Lasers Monolithically Integrated with Silicon Photonics Rings and DBR Gratings. OFC Rosalyn Koscica, Alec Skipper, Bei Shi, Kaiyin Feng, Andrew M. Netherton, Gerald Leake, David Harame, Jonathan Klamkin, John E. Bowers
2024	A*	`conf`	On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm. CVPR Peng Sun, Bei Shi, Daiwei Yu, Tao Lin
2023	J	`jnl`	On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm. CoRR Peng Sun, Bei Shi, Daiwei Yu, Tao Lin
2022	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2021	A*	`conf`	A Theoretical Analysis of the Repetition Problem in Text Generation. AAAI Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi
2021	J	`jnl`	Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study. Comput. Math. Methods Medicine Zhixun Bai, Jing Lu, Ting Li, Yi Ma, Zhijiang Liu, Ranzun Zhao, Zhenglong Wang, Bei Shi
2021	A*	`conf`	Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. IJCAI Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen
2021	—	`conf`	High Speed and Low Dark Current InGaAs Photodiodes on CMOS-Compatible Silicon by Heteroepitaxy. OFC Bowen Song, Bei Shi, Si Zhu, Simone Tommaso Suran Brunelli, Jonathan Klamkin
2021	A*	`conf`	Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS 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
2021	J	`jnl`	Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR 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
2020	J	`jnl`	A Theoretical Analysis of the Repetition Problem in Text Generation. CoRR Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi
2020	—	`conf`	High Performance 1.3 μm Aluminum-Free Quantum Dot Lasers Grown by MOCVD. OFC Lei Wang, Hongwei Zhao, Bei Shi, Sergio Pinna, Simone Tommaso Suran Brunelli, Fengqiao Sang, Bowen Song, Jonathan Klamkin
2020	A*	`conf`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 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	—	`conf`	Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP (1) Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu
2020	J	`jnl`	Partially-Aligned Data-to-Text Generation with Distant Supervision. CoRR Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu
2020	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2020	—	`conf`	Thermal Impedance and Gain Switching of 1550 nm Room Temperature Continuous-Wave Electrically Pumped Laser Diode Monolithically Grown on Silicon. OFC Bei Shi, Sergio Pinna, Bowen Song, Hongwei Zhao, Jonathan Klamkin
2020	A*	`conf`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS 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
2020	J	`jnl`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR 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
2020	—	`conf`	Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. AACL/IJCNLP Zihao Fu, Bei Shi, Lidong Bing, Wai Lam
2020	—	`conf`	WEKE: Learning Word Embeddings for Keyphrase Extraction. APWeb/WAIM (2) Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang
2019	—	`conf`	DHER: Hindsight Experience Replay for Dynamic Goals. ICLR (Poster) Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang
2019	J	`jnl`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR 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
2019	J	`jnl`	Reader Comment Digest through Latent Event Facets and News Specificity. IEEE Trans. Knowl. Data Eng. Bei Shi, Wai Lam
2019	A*	`conf`	Word Embedding as Maximum A Posteriori Estimation. AAAI Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert
2018	—	`conf`	Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. ACL (1) Bei Shi, Zihao Fu, Lidong Bing, Wai Lam
2018	J	`jnl`	Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. CoRR Bei Shi, Zihao Fu, Lidong Bing, Wai Lam
2018	—	`conf`	Transformation Networks for Target-Oriented Sentiment Classification. ACL (1) Xin Li, Lidong Bing, Wai Lam, Bei Shi
2018	J	`jnl`	Transformation Networks for Target-Oriented Sentiment Classification. CoRR Xin Li, Lidong Bing, Wai Lam, Bei Shi
2017	A*	`conf`	Jointly Learning Word Embeddings and Latent Topics. SIGIR Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai
2017	J	`jnl`	Jointly Learning Word Embeddings and Latent Topics. CoRR Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai
2017	—	`conf`	Room Temperature 1.55 pm Lasing of Sub-wavelength Quantum-dot Lasers Epitaxially Grown on (001) Silicon. ECOC Si Zhu, Bei Shi, Qiang Li, Yating Wan, Evelyn L. Hu, Kei May Lau
2016	—	`conf`	Detecting Common Discussion Topics Across Culture From News Reader Comments. ACL (1) Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu
2016	A	`conf`	Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. CIKM Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu
2016	A	`conf`	Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. CIKM Bei Shi, Wai Lam
2016	—	`conf`	Location Based Services Recommendation with Budget Constraints. SocInf@IJCAI Bei Shi, Hao Wei
2015	A*	`conf`	A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality. IJCAI Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam
2015	—	`conf`	Multilingual Viewpoint Detection from news comments. IALP Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu
2014	B	`conf`	A Probabilistic Co-Bootstrapping Method for Entity Set Expansion. COLING Bei Shi, Zhenzhong Zhang, Le Sun, Xianpei Han
2012	—	`conf`	A Cascaded Approach for CIPS-SIGHAN Micro-Blog Word Segmentation Bakeoff 2012. CIPS-SIGHAN Bei Shi, Xianpei Han, Le Sun
2010	—	`conf`	Automatic checking of license compliance. ICSM Hongyu Zhang, Bei Shi, Lu Zhang