more…
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CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Answer-focused and Position-aware Neural Question Generation
Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang: Answer-focused and Position-aware Neural Question Generation. EMNLP 2018: 3930-3939
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking
Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang: High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. WWW 2020: 640-650
HIN: Hierarchical Inference Network for Document-Level Relation Extraction (BEST PAPER AWARD)
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin: HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (1) 2020: 197-209
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang:Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. EMNLP (1) 2020: 3622-3631
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang: Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. ICASSP 2021: 7683-7687
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences
Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang: Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. AAAI 2021: 13134-13142
Knowledge Enhanced Sequential Entity Linking
Yu Liu, Shi Wang, Kangli Zi, Jicun Li, Cungen Cao: Knowledge Enhanced Sequential Entity Linking. IJCNN 2021: 1-8
Deep Differential Amplifier for Extractive Summarization
Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang: Deep Differential Amplifier for Extractive Summarization. ACL/IJCNLP (1) 2021: 366-376
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism
Xingwu Sun, Yanling Cui, Hongyin Tang, Fuzheng Zhang, Beihong Jin, Shi Wang: Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism. EMNLP (1) 2021: 3570-3579
SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map
Kangli Zi, Shi Wang, Yu Liu, Jicun Li, Yanan Cao, Cungen Cao: SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map. EMNLP (1) 2021: 403-415
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei: Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. ACL (1) 2022: 561-570
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding
Shi Wang, Daniel Tang, Luchen Zhang, Huilin Li, Ding Han: HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding. DASFAA (2) 2022: 523-539
[标准]基于文本数据的金融风险防控要求
国家市场监督管理总局. 基于文本数据的金融风险防控要求:GB/T 41462-2022[S]. 2022.
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang, and Jie Fu: HERB - Measuring Hierarchical Regional Bias in Pre-trained Language Models. In AACL-IJCNLP 2022: 334-346.
Interactive Natural Language Processing
Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Wang, etc., Interactive natural language processing. arXiv preprint arXiv:2305.13246, 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, and Li Guo. Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. In ACL 2023.
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information
Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Chengzhong Xu, Dejing Dou. Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. In ICASSP 2023.
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
Jingyi Gao, Dongfang Yang, Shi Wang, Zhaoting Li, Licheng Wang, Kai Wang. State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network. In Journal of Energy Storage, 2023.
Generative Models for Complex Logical Reasoning over Knowledge Graphs
Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi. Generative Models for Complex Logical Reasoning over Knowledge Graphs. WSDM 2024.
Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction
Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang. Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction. ICASSP 2024
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation
Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu. CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. LREC-COLING 2024.
Talks
SOM-NCSCM: An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map
Talk at The 2021 Conference on Empirical Methods in Natural Language Processing, Online
Teaching
Service and leadership
- Currently signed in to 43 different slack teams