个人介绍🎞️👨🏻‍🎓：

最新内容请参考个人主页 https://wkw1259.github.io/KaiwenWei.github.io/ 

本人现为重庆大学计算机学院助理研究员，IEEE Member，CCF会员，主持国家自然科学基金C类[原青年基金]，中国博士后科学基金第76批面上项目，作为项目骨干参与重点研发课题（2024年9月～至今）；

本人博士（直博）毕业于中国科学院空天院目标认知与应用技术国家级重点实验室（2019年9月~2024年7月）；

博士期间，本人先后在美团、阿里巴巴达摩院、快手实习，并建立良好联系；

本人本科毕业于重庆大学（2015年9月~2019年6月）；

本人一直从事自然语言处理、多模态学习的研究工作，目前发表了24篇学术论文，其中14篇以第一作者或通讯作者身份发表于TPAMI、TKDE、KBS等国内外顶级期刊，以及ACL、EMNLP、AAAI、ECAI等顶级会议上。

本人长期从事的研究领域🤖🔬：

自然语言处理、多模态学习、大语言模型

这是一个年轻而充满活力的研究团队，正在招收对以下研究方向有兴趣的本科生同学🪪：

          🧠 自然语言处理（Natural Language Processing）

          🎥 多模态学习（Multimodal Learning）

          💬 大语言模型（Large Language Models）

          👨‍⚕️ 人工智能与医学的交叉研究（AI + Medical）

我们特别欢迎热情主动、自驱力强、思维活跃、有学术志向的同学，共同探索有趣而前沿的研究课题。

在课题组中，希望你能获得：

        ✅ 系统的科研能力训练：从论文选题、实验、写作到投稿全过程，主导或参与一项高质量研究工作，完成顶级会议/期刊论文。

        💡 扎实的工程能力锻炼：参与实际科研项目、企业合作、算法竞赛等，积累一线项目经验，并获得项目实践酬劳。

如有意向，欢迎将以下材料发送至邮箱：weikaiwen@cqu.edu.com

            简历（PDF）

            成绩单（如有）

            过往科研或项目经历（如有）

📬 邮件标题建议格式：加入课题组申请 - 姓名 - 学校

期待你的来信与加入！

Latest News!🆕🔥🔥

  [Aug 2024]: One paper was accepted at TPAMI.
        [Aug 2024]: One paper was accepted at NLPCC 2024.
        [Jul 2024]: One paper was accepted at ECAI 2024.
        [May 2024]: One paper was accepted at COLING 2024.
        [Feb 2024]: Two papers were accepted at AAAI 2024.
        [Dec 2023]: Two papers were accepted at EMNLP 2023.
        [Oct 2023]: One paper was accepted at Electronics.
        [Jul 2023]: Two papers were accepted at ACL 2023.
        [Jun 2022]: One paper was accepted at CVPR 2023.
        [Jan 2023]: One paper was accepted at KBS.
        [Dec 2022]: One paper was accepted at TALLIP.
        [Nov 2022]: One paper was accepted at TKDE.
        [Oct 2022]: One paper was accepted at EMNLP 2022.
        [Oct 2022]: One paper was accepted at KBS 2022.
        [Aug 2021]: One paper was accepted at ACL 2021.

本人学术主页🔖：

谷歌学术：https://scholar.google.com/citations?view_op=search_authors&mauthors=kaiwen+wei&hl=zh-CN&oi=ao

已发表论文📚：

Nayu Liu; Kaiwen Wei, et al. (2024) Multimodal Cross-lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-stage Training Method. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, SCI, CCF-A). [Paper]) [code] Keywords: Multi-modal Summary Gneration, Knowledge Distillation, Natural Language Processing, Deep Learning

Wei Kaiwen, Sun Xian, et al. (2022). Implicit Event Argument Extraction With Argument-Argument Relational Knowledge. IEEE Transactions on Knowledge and Data Engineering (TKDE, SCI, CCF-A). [Paper] Keywords: Event Extraction, Knowledge Distillation, Natural Language Processing, Deep Learning

Wei Kaiwen, Zhang Zequn, et al. (2022). HEFT: A History-Enhanced Feature Transfer framework for incremental event detection. Knowledge-Based Systems (KBS, SCI). [Paper] Keywords: Event Extraction, Continual Learning, Knowledge Distillation, Natural Language Processing, Deep Learning

Wei Kaiwen, Jin Li, et al. (2023). More than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP, SCI). [Paper] Keywords: Event Extraction, Multi-lingual, Knowledge Distillation, Natural Language Processing, Deep Learning

Wei Kaiwen, Yang Yiran, et al. (2023). Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport. ACL 2023 (ACL, Long paper, CCF-A). [Paper] Keywords: Information Extraction, Open-domain, Optimal Transport, Natural Language Processing, Deep Learning

Wei Kaiwen, Sun Xian, et al. (2021). Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction. ACL 2021 (ACL, Long paper, CCF-A). [Paper] Keywords: Event Extraction, Knowledge Distillation, Natural Language Processing, Deep Learning

Wei Kaiwen, Du Runyan, et al. (2024). Multi-View Interactions with Knowledge Distillation for Video Event Extraction. AAAI 2024 (AAAI, CCF-A). [Paper] Keywords: Event Extraction, Knowledge Distillation, Multi-modal, Natural Language Processing, Deep Learning

Liu Nayu*, Wei Kaiwen*, Sun Xian, et al. (2022). Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos. EMNLP 2022 (EMNLP, Long paper, CCF-B, Co-first author). [Paper] Keywords: Summarization, Knowledge Distillation, Multi-modal, Natural Language Processing, Deep Learning

Wang Sirui*, Wei Kaiwen, et al. (2023). Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation. ACL 2023 (ACL, Short paper, CCF-A, Corresponding author). [Paper] Keywords: Prompt-tuning, In-context Learning, Natural Language Processing, Deep Learning

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

Bo Lv, Wei Kaiwen, et al. (2024). TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation. COLING 2024 (COLING, CCF-B). [Paper] Keywords: Neural Machine Translation, Knowledge Distillation, Large Language Model, Natural Language Processing, Deep Learning

Wei Kaiwen, Yao Jie, et al. (2024). PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts. ACL 2024 (Submitted to ACM MM, CCF-A, Under review). [Paper] Keywords: Key Information Extraction, Pointer Network, Document AI, Multi-modal, Natural Language Processing, Deep Learning

Wei Kaiwen, Zhang Jingyuan, et al. (2024). Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models. ACL 2024 (COLING, CCF-B). [Paper] Keywords: Prompt Engineering, Large Language Model, Natural Language Processing, Deep Learning

• 学术服务🧑‍🎓：

本人长期担任ACL，EMNLP，COLING，KBS 等会议/期刊审稿人。