Email:273b3d776dc8decd5d87d76d5aee0098a0523283bd5bb75c967caa4167328505a6f3e8bf1f3eadd83b2104f00d862b216748f43676ed517053abc8968b322bd5b1239ed87d70179b92ade497e0e0460bd0b63e1aa4129c537fb550f33bd3b560fcfe482461a1ef3d8f41cc489cebcda1bcc301dbc8ffe21a8933e8c1bca8e243

ZipCode:a7337579a897837b0afcd90cdba97b5de270ed3453ae11b6080d8502f0c6a3144b3fa1c4d512be6a633869a4ef3460288f1faa5d693c2152eb9c42c5e2ce8afbb526c7d86fc685ffc07469b5fb4ae142da0341157cfdef3c8e2c206cab66c9a47ec7bc7e396fd8425468b4e23725f53446f04fd8fc1a0c0e13f9d74208f02682

PostalAddress:0c039107d953c37705df89cf9bc5fab08e95e77f0509bd7b29f0fe3e93717703216e9f1ccb50a57d18417a2a45dcb056b4789c23f9f7fd96766f5e856d9a4e438f9565102bcd2761bb6ff5e9bf8a092d39cde0af4495c46be62051c8bb49d8b57ad56e3836ac4503d8207243599a4ff1e5152419662cbd9319960e69648953a2

• 个人介绍🎞️👨🏻‍🎓

本人现为重庆大学计算机学院助理研究员，IEEE Member，CCF会员，（2024年9月～至今）；

本人博士（直博）毕业于中国科学院空天信息研究院（二部）（2019年9月~2024年7月）；

在之前，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17篇学术论文，其中11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

• 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 (Submitted to EMNLP, CCF-B, Under review). [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。