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个人简介

陈科海,哈尔滨工业大学(深圳)计算机科学与技术学院教授,2022年入选国家级青年人才计划,“鹏城孔雀计划”特聘岗位B档,获2021年北京市科技进步二等奖,获2020年中国中文信息学会“优秀博士学位论文”奖。2018年于哈尔滨工业大学取得博士学位,2018年至2021年在日本国立情报通信研究机构从事博士后研究,主要研究方向为自然语言处理、大语言模型、强化学习与机器翻译。在ACL、ICLR、EMNLP、AAAI、TPAMI、TASLP、TFS等国际会议和期刊发表论文40余篇。曾担任人工智能顶级会议AAAI-2021和AAAI-2022资深程序委员、自然语言处理国际顶级会议ACL-2022和IJCNLP-AACL-2022机器翻译领域共同主席、IJCNLP-AACL-2023研讨会共同主席。 工作经历 2023年10月~至今 哈尔滨工业大学(深圳) 计算机科学与技术学院 教授 2022年1月~2023年9月 哈尔滨工业大学(深圳) 计算机科学与技术学院 助理教授 2018年11月~2021年12月 日本国立情报通信研究机构 高级语音与翻译研究中心 研究员 2017年1月~2017年12月 日本国立情报通信研究机构 高级语音与翻译研究中心 实习研究员 教育经历 2013年9月~2018年10月 哈尔滨工业大学 计算机应用技术 博士学位 2010年9月~2013年7月 中国科学院大学 计算机应用技术 硕士学位 2006年9月~2010年7月 西安理工大学 软件工程 学士学位 科研项目 基于不完整上下文信息的机器同传建模方法研究,2023/01-2026/12,53万,国家自然科学基金面上项目,主持 机器同传关键技术研究,2022/11-2025/10,30万,深圳市高等院校稳定支持面上项目,主持 知识驱动的多模态对话系统,2023/01-2027/12,286万,国家自然科学基金重点项目,参与 多模态机器翻译关键技术研究,2022/11-2025/10,150万,深圳市高等院校稳定支持重点项目,参与 Linguistic Typology Aware Neural Machine Translation, 约16万, 2021-2022, Japan national funding, 主持 科研奖励 多模态跨领域信息智能处理关键技术研究及产业化应用,2022年获北京市科技进步二等奖,省部级(3/10) 机器翻译上下文表示方法研究, 2020年中文信息学会优博奖,中国中文信息学会,国家一级学会,个人

研究领域

自然语言处理、大语言模型、强化学习与机器翻译

近期论文

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INFORM : Information eNtropy based multi-step reasoning FOR large language Models [Paper and Bib] Chuyue Zhou, WangJie You, Juntao Li, Jing Ye, Kehai Chen, and Min Zhang The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec 2023 PromptST: Abstract Prompt Learning for End-to-End Speech Translation [Paper and Bib] Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, and Min Zhang The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec 2023 Improving Low-resource Question Answering by Augmenting Question Information [Paper and Bib] Andong Chen, Yuan Sun, Xiaobing Zhao, Rosella P. Galindo Esparza, Kehai Chen, Yang Xiang, Tiejun Zhao, and Min Zhang Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), Singapore, Dec 2023 Multi-view fusion for universal translation quality estimation [Paper and Bib] Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang and Tiejun Zhao Information Fusion, Early Access, September 2023 Modeling Inter-Aspect Relations with Clause and Contrastive Learning for Aspect-Based Sentiment Analysis[Paper and Bib] Zhixun Qiu, Kehai Chen, Yun Xue, Zhihao Ma and Zhengxuan Zhang IEEE Transactions on Computational Social Systems (TCSS), Early Access, August 2023 Improving Translation Quality Estimation with Bias Mitigation [Paper and Bib] Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang and Tiejun Zhao The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023 Universal Multimodal Representation for Language Understanding [Paper and Bib] Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, and Hai Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 7, pp. 9169-9185, July 2023 Document-Level Relation Extraction with Path Reasoning [Paper and Bib] Wang Xu, Kehai Chen, and Tiejun Zhao ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), vol. 22, no. 4, April 2022 Effective Graph Context Representation for Document-level Machine Translation [Paper and Bib] Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, and Min Zhang The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), July 2022 Document-Level Relation Extraction with Sentences Importance Estimation and Focusing [Paper and Bib] Wang Xu, Kehai Chen, Lili Mou, and Tiejun Zhao. The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), July 2022 Data-driven Fuzzy Target Representation for Intelligent Translation System [Paper and Bib] Kehai Chen, Muyun Yang, Tiejun Zhao, and Min Zhang. IEEE Transactions on Fuzzy Systems (TFS), vol. 30, no. 11, pp. 4568-4577, November 2022 Synchronous Refinement for Neural Machine Translation [Paper and Bib] Kehai Chen, Masao Utiyama, Eiichiro Sumita, Rui Wang, and Min Zhang. The 60th Annual Meeting of the Association for Computational Linguistics (ACL-Findings), May 2022 Integrating Prior Translation Knowledge into Neural Machine Translation [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 30, pp. 330-339, 2022 Advancing Chinese Event Detection via Revisiting Character Information [Paper and Bib] Yanxia Qin, Zhongqin Wang, Yue Zhang, Kehai Chen, and Min Zhang. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), vol. 21, No. 78, pp. 1–9, July 2022 Discriminative Reasoning for Document-level Relation Extraction [Paper and Bib] Wang Xu, Kehai Chen, and Tiejun Zhao. The 59th Annual Meeting of the Association for Computational Linguistics (ACL-Findings), August, 2021 Context-Aware Positional Representation for Self-Attention Networks [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita. Neurocomputing, Volume 451, Pages 46-563, September 2021 Document-Level Relation Extraction with Reconstruction [Paper and Bib] Wang Xu, Kehai Chen, and Tiejun Zhao. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), February 2021 A Pattern Driven Graph Ranking Approach to Attribute Extraction for Knowledge Graph [Paper and Bib] Muyun Yang, Kehai Chen, Shuqi Sun, Zhongyuan Han, Leilei Kong, and Qingye Meng. IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 1250-1259, Feb. 2021 Modeling Future Cost for Neural Machine Translation [Paper and Bib] Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, and Tiejun Zhao. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 29, pp. 770-781, 2021 Syntax in End-to-End Natural Language Processing [Paper and Bib] Hai Zhao, Rui Wang, and Kehai Chen. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-Tutorial), November, 2021 Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios [Paper and Bib] Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao. The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), June 2021 Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training [Paper and Bib] Haipeng Sun, Rui Wang, Kehai Chen, Xugang Lu, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. The 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December 2020 Towards More Diverse Input Representation for Neural Machine Translation [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao, Muyun Yang, and Hai Zhao. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 1586-1597, December 2020 Content Word Aware Neural Machine Translation [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita. The 58th Annual Meeting of the Association for Computational Linguistics (ACL), Seattle, USA, July 2020 Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation [Paper and Bib] Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. The 58th Annual Meeting of the Association for Computational Linguistics (ACL), Seattle, USA, July 2020 Data-dependent Gaussian Prior Objective for Language Generation [Paper and Bib] Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, and Hai Zhao. Eighth International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 2020 Neural Machine Translation with Universal Visual Representation [Paper and Bib] Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, and Hai Zhao. Eighth International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 2020 Explicit Sentence Compression for Neural Machine Translation [Paper and Bib] Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, and Hai Zhao. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020 A Novel Sentence-Level Agreement Architecture for Neural Machine Translation [Paper and Bib] Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, and Min Zhang. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 2585-2597, 2020 Unsupervised Neural Machine Translation with Cross-lingual Language Representation Agreement [Paper and Bib] Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 1170-1182, December 2020 A Hierarchical Clustering Approach to Fuzzy Semantic Representation of Rare Words in Neural Machine Translation [Paper and Bib] Muyun Yang, Shujie Liu, Kehai Chen, Hongyang Zhang, Enbo Zhao, and Tiejun Zhao. IEEE Transactions on Fuzzy Systems (TFS), vol. 28, no. 5, pp. 992-1002, May 2020 Recurrent Positional Embedding for Neural Machine Translation [Paper and Bib]. Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita. The 2019 Conference on Empirical Methods in Natural Language Processing and The 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, November 2019 NICT's Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task [Paper and Bib] Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama, and Eiichiro Sumita. The 4th Conference on Machine Translation (WMT), Florence, Italy, July 2019. Neural Machine Translation with Reordering Embeddings [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita. The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019 Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation [Paper and Bib] Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019 Sentence-Level Agreement for Neural Machine Translation [Paper and Bib]. Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, and Tiejun Zhao. The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019 Lattice-Based Transformer Encoder for Neural Machine Translation [Paper and Bib] Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, and Kehai Chen. The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019 Neural Machine Translation with Sentence-level Topic Context [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 27, no. 12, pp. 1970-1984, December 2019 A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction [Paper and Bib] Xuefeng Bai, Hailong Cao, Kehai Chen, and Tiejun Zhao. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 27, no. 10, pp. 1639-1648, October 2019 Syntax-Directed Attention for Neural Machine Translation [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Lousiana, USA, February 2018 Syntax-Based Context Representation for Statistical Machine Translation [Paper and Bib] Kehai Chen, Tiejun Zhao, and Muyun Yang. IEICE Transactions on Information and Systems, vol. E101.D, no. 12, pp. 3226-3237, December 2018 A Neural Approach to Source Dependency-Based Context Model for Statistical Machine Translation [Paper and Bib] Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu, Akihiro Tamura, Rui Wang, Masao Utiyama, and Eiichro Sumita. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 26, no. 2, pp. 266-280, February 2018 Context-Aware Smoothing for Neural Machine Translation [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao. The 8th International Joint Conference on Natural Language Processing (IJCNLP), Chinese Taipei, November 2017 Neural Machine Translation with Source Dependency Representation [Paper and Bib] Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, and Tiejun Zhao. The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 2017 Instance Weighting for Neural Machine Translation Domain Adaptation [Paper and Bib] Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, and Eiichro Sumita. The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 2017 Translation Prediction with Source Dependency-Based Context Representation [Paper and Bib] Kehai Chen, Tiejun Zhao, Muyun Yang, and Lemao Liu. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, February 2017

学术兼职

Program Committee Member 2023: ICLR, ACL, ICML, AAAI, IJCAI, CCMT (Forum Co-Chair), CCL (Area Chair), IJCNLP-AACL (Workshop Co-Chair), NeurIPS, EMNLP 2022: ICLR, AAAI (Senior Program Committee), IJCAI-ECAI, ACL (Area Chair), NeurIPS, COLING, AACL-IJCNLP (Area Chair), CCMT (Publicity Co-Chair), NLPCC 2021: ACL-IJCNLP, NeurIPS, AAAI (Senior Program Committee), EMNLP, NAACL-HLT, CoNLL, ICASSP, NLPCC, EACL, CCL, CCMT 2020: ACL, NeurIPS, AAAI, EMNLP, COLING, NLPCC, AACL-IJCNLP, CCL, CCMT 2019: AAAI, EMNLP, NAACL-HLT, CCL 2018: EMNLP 2017: ACL Journal Reviewer ACL Roling Reviewer IEEE Trans. on PAMI; IEEE Trans. on NNLS; IEEE Trans. on KDE, IEEE/ACM Trans on ASLP; IEEE Trans. on II; ACM Trans on ALLIP Natural Language Engineering; IEEE Intelligent Systems; Information Sciences; Expert Systems With Applications ACM Computing Surveys; Artificial Intelligence Review Neurocomputing; Neural Computing & Applications 计算机学报; 自动化学报

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