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2020 – today
- 2024
[c27]Peng Sun, Bei Shi, Daiwei Yu, Tao Lin:
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm. CVPR 2024: 9390-9399- 2023
- [i10]Peng Sun, Bei Shi, Daiwei Yu, Tao Lin:
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm. CoRR abs/2312.03526 (2023) - 2022
- [j3]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:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 33(3): 908-918 (2022) - 2021
- [j2]Zhixun Bai, Jing Lu, Ting Li, Yi Ma, Zhijiang Liu, Ranzun Zhao, Zhenglong Wang, Bei Shi:
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 2021: 7252280:1-7252280:9 (2021) - [c26]Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. AAAI 2021: 12848-12856 - [c25]Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen:
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. IJCAI 2021: 3413-3419 - [c24]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:
Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS 2021: 16171-16182 - [c23]Bowen Song, Bei Shi, Si Zhu, Simone Tommaso Suran Brunelli, Jonathan Klamkin:
High Speed and Low Dark Current InGaAs Photodiodes on CMOS-Compatible Silicon by Heteroepitaxy. OFC 2021: 1-3 - [i9]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:
Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR abs/2110.14221 (2021) - 2020
- [c22]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:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 2020: 6672-6679 - [c21]Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang:
WEKE: Learning Word Embeddings for Keyphrase Extraction. APWeb/WAIM (2) 2020: 245-260 - [c20]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP (1) 2020: 9183-9193 - [c19]Zihao Fu, Bei Shi, Lidong Bing, Wai Lam:
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. AACL/IJCNLP 2020: 258-268 - [c18]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:
Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS 2020 - [c17]Bei Shi, Sergio Pinna, Bowen Song, Hongwei Zhao, Jonathan Klamkin:
Thermal Impedance and Gain Switching of 1550 nm Room Temperature Continuous-Wave Electrically Pumped Laser Diode Monolithically Grown on Silicon. OFC 2020: 1-3 - [c16]Lei Wang, Hongwei Zhao, Bei Shi, Sergio Pinna, Simone Tommaso Suran Brunelli, Fengqiao Sang, Bowen Song, Jonathan Klamkin:
High Performance 1.3 μm Aluminum-Free Quantum Dot Lasers Grown by MOCVD. OFC 2020: 1-3 - [i8]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. CoRR abs/2010.01268 (2020) - [i7]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:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR abs/2011.12582 (2020) - [i6]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:
Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR abs/2011.12692 (2020) - [i5]Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. CoRR abs/2012.14660 (2020)
2010 – 2019
- 2019
- [j1]Bei Shi, Wai Lam:
Reader Comment Digest through Latent Event Facets and News Specificity. IEEE Trans. Knowl. Data Eng. 31(8): 1581-1594 (2019) - [c15]Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert:
Word Embedding as Maximum A Posteriori Estimation. AAAI 2019: 6562-6569 - [c14]Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang:
DHER: Hindsight Experience Replay for Dynamic Goals. ICLR (Poster) 2019 - [i4]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:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR abs/1912.09729 (2019) - 2018
- [c13]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. ACL (1) 2018: 946-956 - [c12]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. ACL (1) 2018: 2494-2504 - [i3]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. CoRR abs/1805.01086 (2018) - [i2]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. CoRR abs/1805.03801 (2018) - 2017
- [c11]Si Zhu, Bei Shi, Qiang Li, Yating Wan, Evelyn L. Hu, Kei May Lau:
Room Temperature 1.55 pm Lasing of Sub-wavelength Quantum-dot Lasers Epitaxially Grown on (001) Silicon. ECOC 2017: 1-3 - [c10]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. SIGIR 2017: 375-384 - [i1]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. CoRR abs/1706.07276 (2017) - 2016
- [c9]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Detecting Common Discussion Topics Across Culture From News Reader Comments. ACL (1) 2016 - [c8]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. CIKM 2016: 2293-2298 - [c7]Bei Shi, Wai Lam:
Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. CIKM 2016: 2299-2304 - [c6]Bei Shi, Hao Wei:
Location Based Services Recommendation with Budget Constraints. SocInf@IJCAI 2016: 48-56 - 2015
- [c5]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Multilingual Viewpoint Detection from news comments. IALP 2015: 189-192 - [c4]Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam:
A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality. IJCAI 2015: 725-732 - 2014
- [c3]Bei Shi, Zhenzhong Zhang, Le Sun, Xianpei Han:
A Probabilistic Co-Bootstrapping Method for Entity Set Expansion. COLING 2014: 2280-2290 - 2012
- [c2]Bei Shi, Xianpei Han, Le Sun:
A Cascaded Approach for CIPS-SIGHAN Micro-Blog Word Segmentation Bakeoff 2012. CIPS-SIGHAN 2012: 58-62 - 2010
- [c1]Hongyu Zhang, Bei Shi, Lu Zhang:
Automatic checking of license compliance. ICSM 2010: 1-3
Coauthor Index
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last updated on 2024-10-04 19:57 CEST by the dblp team
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