Kaiwen Wei (魏楷文)



Biography [Google Scholar]

Kaiwen Wei is currently an Assistant Researcher at the College of Computer Science, Chongqing University (since September 2024). He obtained his Ph.D. (direct-track) from the National Key Laboratory of Target Cognition and Application Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (September 2019-July 2024), under the supervision of Researcher Zhi Guo and Researcher Xian Sun. He completed his undergraduate studies at Chongqing University (September 2015-June 2019). During his doctoral studies, he interned at leading technology companies including Meituan, Alibaba DAMO Academy, and Kuaishou, accumulating rich industry experience and building strong industry-academia collaboration networks.

His research focuses on cutting-edge AI technologies, particularly in natural language processing (NLP), multimodal learning (MM), large language models (LLMs), and AI-driven medical applications (AI+Medical), with a strong commitment to advancing intelligent systems for real-world healthcare solutions.

魏楷文,现为重庆大学计算机学院助理研究员(2024年9月至今),此前在中国科学院空天信息创新研究院目标认知与应用技术国家级重点实验室获得直博学位(2019年9月-2024年7月),师从郭智研究员和孙显研究员(国家杰青)。本科阶段就读于重庆大学(2015年9月-2019年6月)。博士期间曾先后在美团、阿里巴巴达摩院和快手等头部企业实习,积累了丰富的工业界经验并建立了良好的产学研合作网络。

我的研究聚焦人工智能前沿领域,主要包括:自然语言处理(NLP)的基础理论与应用创新、多模态学习(MM)的跨域融合方法、大语言模型(LLMs)的优化与部署,以及人工智能与医学的交叉研究(AI+Medical),致力于推动智能技术在医疗健康等关键领域的落地应用。

如果对相关工作感兴趣,欢迎邮件联系我。同时,非常欢迎对科学研究感兴趣的本科生或研究生联系我进行线下(重庆大学虎溪校区)或线上的合作交流。

🔥 News

  • • 2025 Aug:   1 paper was accepted by EMNLP 2025.
  • • 2025 July:   1 paper was accepted by ACM MM 2025.
  • • 2025 May:   4 papers (1 main track and 3 findings) was accepted by ACL 2025.
  • • 2024 Nov:   One paper was accepted at ICASSP 2025.
  • • 2024 Oct:   One paper was accepted at COLING 2025.
  • • 2024 Aug:   One paper was accepted at TPAMI.
  • • 2024 Aug:   One paper was accepted at NLPCC 2024.
  • • 2024 Jul:   One paper was accepted at ECAI 2024.
  • • 2024 May:   One paper was accepted at COLING 2024.
  • • 2024 Feb:   Two papers were accepted at AAAI 2024.
  • • 2023 Dec:   Two papers were accepted at EMNLP 2023.
  • • 2023 Oct:   One paper was accepted at Electronics.
  • • 2023 Jul:   Two papers were accepted at ACL 2023.
  • • 2022 Jun:   One paper was accepted at CVPR 2023.
  • • 2023 Jan:   One paper was accepted at KBS.
  • • 2022 Dec:   One paper was accepted at TALLIP.
  • • 2022 Nov:   One paper was accepted at TKDE.
  • • 2022 Oct:   One paper was accepted at EMNLP 2022.
  • • 2022 Oct:   One paper was accepted at KBS 2022.
  • • 2021 Aug:   One paper was accepted at ACL 2021.
📝 Publications

Implicit Event Argument Extraction
Implicit Event Argument Extraction With Argument-Argument Relational Knowledge
Kaiwen Wei, Sun Xian, Zequn Zhang, Li Jin, Jingyuan Zhang, Jianwei Lv, and Zhi Guo
IEEE Transactions on Knowledge and Data Engineering (TKDE, SCI, CCF-A)
[Paper]
Event Extraction, Knowledge Distillation, Natural Language Processing, Deep Learning,

Multimodal Cross-lingual Summarization
Multimodal Cross-lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-stage Training Method
Nayu Liu*, Kaiwen Wei*, Yong Yang, Jianhua Tao, Xian Sun, Fanglong Yao, Hongfeng Yu, Li Jin , Zhao Lv, and Cunhang Fan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, SCI, CCF-A, co-first author)
[Paper] [Code]
Multi-modal Summary Generation, Knowledge Distillation, Natural Language Processing, Deep Learning

Open Information Extraction
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport
Kaiwen Wei, Yang Yiran, Li Jin, Xian Sun, Zequn Zhang, Jingyuan Zhang, Xiaoyu Li, Linhao Zhang, Jintao Liu, and Zhi Guo.
ACL 2023 (ACL, Long paper, CCF-A)
[Paper]
Information Extraction, Open-domain, Optimal Transport, Natural Language Processing, Deep Learning

Implicit Event Argument Extraction
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
Kaiwen Wei, Sun Xian, Zequn Zhang, Jingyuan Zhang, Zhi Guo, and Li Jin.
ACL 2021 (ACL, Long paper, CCF-A)
[Paper]
Event Extraction, Knowledge Distillation, Natural Language Processing, Deep Learning

Video Event Extraction
Multi-View Interactions with Knowledge Distillation for Video Event Extraction
Kaiwen Wei, Du Runyan, Li Jin, Jian Liu, Jianhua Yin, Linhao Zhang, Jintao Liu, Nayu Liu, Jingyuan Zhang, and Zhi Guo.
AAAI 2024 (AAAI, CCF-A)
[Paper]
Event Extraction, Knowledge Distillation, Multi-modal, Natural Language Processing, Deep Learning

Event Causality Reasoning
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
Jintao Liu, Kaiwen Wei, and Chenglong Liu.
AAAI 2024 (AAAI, CCF-A, Corresponding author)
[Paper]
Event Causality Reasoning, Scene Graph, Multi-modal, Natural Language Processing, Deep Learning

Chain-of-Specificity
Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models
Kaiwen Wei, Jiang Zhong, Jingyuan Zhang, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Li Jin, and Yue Yu.
COLING 2024 (COLING, CCF-B)
[Paper]
Chain-of-Thought, Prompt Learning, Natural Language Processing, Large Language Model

Multimodal Cross-Lingual Summarization
Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos
Liu Nayu*, Kaiwen Wei*, Sun Xian, Hongfeng Yu, Fanglong Yao, Li Jin, Zhi Guo, and Guangluan Xu.
EMNLP 2022 (EMNLP, Long paper, CCF-B, Co-first author)
[Paper] [Code]
Summarization, Knowledge Distillation, Multi-modal, Natural Language Processing, Deep Learning

Demonstration Learning
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation
Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, and Wei Wu.
ACL 2023 (ACL, Short paper, Corresponding author)
[Paper]
Prompt-tuning, In-context Learning, Natural Language Processing, Deep Learning

Event Causality Reasoning
P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
Kaiwen Wei, Jie Yao, Jiang Zhong, Yangyang Kang, Jingyuan Zhang, Changlong Sun, Xin Zhang, Fengmao Lv, and Li Jin.
ACL 2025 Findings (ACL Findings)
[Paper]
Information Extraction, Multi-modal, Natural Language Processing, Deep Learning, Table Intelligence

Event Causality Reasoning
FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration
Zongkai Zhao, Guozeng Xu, Xiuhua Li, Kaiwen Wei, and Jiang Zhong.
ACL 2025 Findings (ACL Findings, Corresponding author)
[Paper] [Code]
Knowledge Editting, Federated Learning, Natural Language Processing, Deep Learning

Event Causality Reasoning
Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition
Jingwang Huang, Jiang Zhong, Qin Lei, gaojinpeng, ymyang, Sirui Wang, PeiguangLi, Kaiwen Wei.
ACL 2025 Findings (ACL Findings, Corresponding author)
[Paper] [Code]
Emotion Recognition, Multi-modal, Natural Language Processing, Deep Learning

HEFT Framework
HEFT: A History-Enhanced Feature Transfer framework for incremental event detection
Kaiwen Wei, Zhang Zequn, Li Jin, Zhi Guo, Shuchao Li, Weihong Wang, and Jianwei Lv.
Knowledge-Based Systems (KBS, SCI)
[Paper]
Event Extraction, Continual Learning, Knowledge Distillation, Natural Language Processing, Deep Learning

Cross-lingual Relation Extraction
More than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling
Kaiwen Wei, Jin Li, Zequn Zhang, Zhi Guo, Xiaoyu Li, and Qing Liu.
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP, SCI)
[Paper]
Event Extraction, Multi-lingual, Knowledge Distillation, Natural Language Processing, Deep Learning

TAeKD Framework
TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation
Bo Lv, Xin Liu, Kaiwen Wei, Ping Luo, and Yue Yu.
COLING 2024 (COLING, CCF-B)
[Paper]
Neural Machine Translation, Knowledge Distillation, Large Language Model, Natural Language Processing, Deep Learning

💼 Work Experience

Assistant Researcher in College of Computer Science, Chongqing University, Chongiqng, China
Sep. 2024 - June. 2026

Kuaishou Inc.
LLM Group
Internship: 2024.2-2024.06

Alibaba Group
DAMO Academy
Internship: 2023.7-2024.1

Meituan Inc.
Knowlege Graph Group
Internship: 2022.11-2023.6
🎓 Education

Sep. 2015 - June. 2019

Sep. 2019 - June. 2024
👓 Reviewer Services

  •   • IEEE Transactions on Knowledge and Data Engineering (TKDE).
  •   • NeurIPS 2025.
  •   • ACMMM 2025.
  •   • ACL 2023、2024.
  •   • EMNLP 2023、2024.
  •   • CVPR 2025.
  •   • Knowledge-Based Systems (KBS).
  •   • Journal of Software (软件学报).
🎖 Fundings

  • • 2025: National Natural Science Foundation of China Youth Fund (青年基金).
  • • 2025: The 76th batch of China Postdoctoral Science Foundation general projects (博士后面上).
  • • 2025: Key research and development projects (重点研发计划), project backbone.

Copyright © 2022   Kaiwen Wei. All Rights Reserved.