Automatic checking of license compliance. - Hongyu Zhang 002; Bei Shi; Lu Zhang 023 (ICSM, 2010)

A Cascaded Approach for CIPS-SIGHAN Micro-Blog Word Segmentation Bakeoff 2012. - Bei Shi; Xianpei Han; Le Sun 001 (CIPS-SIGHAN, 2012)

A Probabilistic Co-Bootstrapping Method for Entity Set Expansion. - Bei Shi; Zhenzhong Zhang; Le Sun 001; Xianpei Han (COLING, 2014)

Multilingual Viewpoint Detection from news comments. - Bei Shi; Wai Lam; Lidong Bing; Yinqing Xu (IALP, 2015)

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

Detecting Common Discussion Topics Across Culture From News Reader Comments. - Bei Shi; Wai Lam; Lidong Bing; Yinqing Xu (ACL (1), 2016)

Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. - Bei Shi; Wai Lam (CIKM, 2016)

Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. - Bei Shi; Wai Lam; Lidong Bing; Yinqing Xu (CIKM, 2016)

Location Based Services Recommendation with Budget Constraints. - Bei Shi; Hao Wei (SocInf@IJCAI, 2016)

Room Temperature 1.55 pm Lasing of Sub-wavelength Quantum-dot Lasers Epitaxially Grown on (001) Silicon. - Si Zhu; Bei Shi; Qiang Li; Yating Wan; Evelyn L. Hu; Kei May Lau (ECOC, 2017)

Jointly Learning Word Embeddings and Latent Topics. - Bei Shi; Wai Lam; Shoaib Jameel; Steven Schockaert; Kwun Ping Lai (SIGIR, 2017)

Transformation Networks for Target-Oriented Sentiment Classification. - Xin Li 056; Lidong Bing; Wai Lam; Bei Shi (ACL (1), 2018)

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. - Bei Shi; Zihao Fu; Lidong Bing; Wai Lam (ACL (1), 2018)

Word Embedding as Maximum A Posteriori Estimation. - Shoaib Jameel; Zihao Fu; Bei Shi; Wai Lam; Steven Schockaert (AAAI, 2019)

DHER: Hindsight Experience Replay for Dynamic Goals. - Meng Fang; Cheng Zhou; Bei Shi; Boqing Gong; Jia Xu 011; Tong Zhang 001 (ICLR (Poster), 2019)

Reader Comment Digest through Latent Event Facets and News Specificity. - Bei Shi; Wai Lam (IEEE Trans. Knowl. Data Eng., 2019)

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Zhao Liu; Mingfei Sun 001; Bei Shi; Peilin Zhao; Hao Wu; Hongsheng Yu; Shaojie Yang; Xipeng Wu; Qingwei Guo; Qiaobo Chen; Yinyuting Yin; et al. (AAAI, 2020)

WEKE: Learning Word Embeddings for Keyphrase Extraction. - Yuxiang Zhang 003; Huan Liu 001; Bei Shi; Xiaoli Li 001; Suge Wang (APWeb/WAIM (2), 2020)

Partially-Aligned Data-to-Text Generation with Distant Supervision. - Zihao Fu; Bei Shi; Wai Lam; Lidong Bing; Zhiyuan Liu 001 (EMNLP (1), 2020)

Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. - Zihao Fu; Bei Shi; Lidong Bing; Wai Lam (AACL/IJCNLP, 2020)

Towards Playing Full MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Guibin Chen; Wen Zhang; Sheng Chen; Bo Yuan 008; Bo Liu; Jia Chen; Zhao Liu; Fuhao Qiu; Hongsheng Yu; Yinyuting Yin; Bei Shi; et al. (NeurIPS, 2020)

Thermal Impedance and Gain Switching of 1550 nm Room Temperature Continuous-Wave Electrically Pumped Laser Diode Monolithically Grown on Silicon. - Bei Shi; Sergio Pinna; Bowen Song; Hongwei Zhao; Jonathan Klamkin (OFC, 2020)

High Performance 1.3 μm Aluminum-Free Quantum Dot Lasers Grown by MOCVD. - Lei Wang; Hongwei Zhao; Bei Shi; Sergio Pinna; Simone Tommaso Suran Brunelli; Fengqiao Sang; Bowen Song; Jonathan Klamkin (OFC, 2020)

A Theoretical Analysis of the Repetition Problem in Text Generation. - Zihao Fu; Wai Lam; Anthony Man-Cho So; Bei Shi (AAAI, 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 016; Hang Su 006; Jun Zhu 001; Ning Chen 002 (IJCAI, 2021)

Learning Diverse Policies in MOBA Games via Macro-Goals. - Yiming Gao 007; Bei Shi; Xueying Du; Liang Wang 015; Guangwei Chen; Zhenjie Lian; Fuhao Qiu; Guoan Han; Weixuan Wang; Deheng Ye; Qiang Fu 016; Wei Yang 032; et al. (NeurIPS, 2021)

High Speed and Low Dark Current InGaAs Photodiodes on CMOS-Compatible Silicon by Heteroepitaxy. - Bowen Song; Bei Shi; Si Zhu; Simone Tommaso Suran Brunelli; Jonathan Klamkin (OFC, 2021)

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. - Zhixun Bai; Jing Lu; Ting Li; Yi Ma; Zhijiang Liu; Ranzun Zhao; Zhenglong Wang; Bei Shi (Comput. Math. Methods Medicine, 2021)

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. - Deheng Ye; Guibin Chen; Peilin Zhao; Fuhao Qiu; Bo Yuan 008; Wen Zhang; Sheng Chen; Mingfei Sun 001; Xiaoqian Li; Siqin Li; Jing Liang; Zhenjie Lian; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

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

Tunable Quantum Dot Lasers Monolithically Integrated with Silicon Photonics Rings and DBR Gratings. - Rosalyn Koscica; Alec Skipper; Bei Shi; Kaiyin Feng; Andrew M. Netherton; Gerald Leake; David Harame; Jonathan Klamkin; John E. Bowers 001 (OFC, 2025)