苏劲松 教授、博士生导师

厦门大学信息学院教授、博士生导师,电影学院,人工智能研究院双聘导师。国家万人计划青年拔尖人才,福建省攻青、杰青基金获得者,厦门大学南强青年拔尖A类人才,入选2022-2024年度全球前2%顶尖科学家榜单。2011年毕业于中国科学院计算技术研究所,获得工学博士学位。主要研究方向是自然语言处理,大模型,机器翻译。共发表CCF-A/B论文160余篇,获得2020年钱伟长中文信息处理科学技术奖—汉王青年创新奖,国家示范型软件学院联盟20周年优秀专职教师奖;曾培养硕士生获得百度奖学金,腾讯犀牛鸟奖学金。

课题组以科研为主,和互联网大厂紧密合作,导师全程指导,课题组90%硕士生均有1年以上的知名互联网公司算法岗实习经历,欢迎对科研感兴趣的同学联系 jssu@xmu.edu.cn

语言智能技术小组网站:https://xmudeeplit.github.io/


荣誉

• 24年福建省(首届)攻关青年基金获得者

• 23年国家示范性软件学院20周年优秀专职教师奖

• 22年厦门大学南强青年拔尖A类人才

• 22/23/24年斯坦福大学版全球前2%顶尖科学家

• 21年“国家特支计划”青年拔尖人才
• 20年中国中文信息学会钱伟长中文信息处理科学技术奖—汉王青年创新奖

• 20年福建省杰出青年基金获得者

• 19/20/21/23年腾讯犀牛鸟精英人才培养计划优秀导师奖


学术兼职

• 中国中文信息学会理事、青工委委员、机器翻译专委会委员、大模型专委会委员

• 中国计算机学会自然语言处理专业委员会委员、青工委常务委员(17-19)

• 中国人工智能学会理事、组织工作委员会副秘书长、多语种智能处理专委会委员

• 福建省人工智能学会常务理事

• 自然语言处理国际会议ACL/EMNLP/NAACL/COLING领域主席20余次,人工智能国际会议AAAI/IJCAI 资深程序委员10余次

• 全国机器翻译大会CCMT21程序委员会主席、CCMT24组织主席

• CAAI Transactions on Intelligence青年编委

• 长期担任ACL/AAAI/EMNLP等权威国际会议,T-PAMI/T-IS/T-ASLP等40余个权威期刊审稿人


学生培养

• 22年阿里巴巴达摩院学术合作优秀实习生(全国13名)

• 20年犀牛鸟精英人才培养计划突破进取奖

• 18/19/20/21/23年腾讯犀牛鸟精英研究生培养计划

• 19年腾讯犀牛鸟奖学金(全国6名)

• 18年福建省优秀学术硕士学位论文

• 17年百度奖学金(全球10名,当年唯一获奖硕士)


发表论文

共发表CCF-A/B类论文160余篇,部分代表作如下:

[29] Qinggang Zhang+, Zhishang Xiang+, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, and Jinsong Su*. 2025. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation. In Proc. of ACL2025. (CCF-A类)

[28] Liang Zhang+, Ziyao Lu+, Fandong Meng, Hui Li, Jie Zhou, and Jinsong Su*. 2025. Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss. In Proc. of ACL2025. (CCF-A类)

[27] Liang Zhang, Yang zhang, Ziyao Lu, Fandong Meng, Jie Zhou, and Jinsong Su*. 2025. A Self-Denoising Model for Robust Few-Shot Relation Extraction. In Proc. of ACL2025. (CCF-A类)

[26] Suhang Wu, Jialong Tang, Chengyi Yang, Pei Zhang, Baosong Yang, Junhui Li, Junfeng Yao*, Min Zhang, and Jinsong Su*. 2025. Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models. In Proc. of ACL2025. (CCF-A类)

[25] Ante Wang, Linfeng Song*, Ye Tian, Dian Yu, Haitao Mi, Xiangyu Duan, Zhaopeng Tu*, Jinsong Su*, and Dong Yu. 2025. Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls. In Proc. of ACL2025. (CCF-A类)

[24] Yaoxiang Wang+, Haoling Li+, Xin Zhang+, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang*, Jinsong Su*, Qi Chen, Scarlett Li. 2025. EpiCoder: Encompassing Diversity and Complexity in Code Generation. In Proc. of ICML2025. (CCF-A类)

[23] Xiaoyue Wang+, Xin Liu+, Lijie Wang, Suhang Wu, Jinsong Su*, and Hua Wu. 2024. A Simple yet Effective Self-Debiasing Framework for Transformer Models. Artificial Intelligence. (CCF-A类)

[22] Jianheng Huang+, Leyang Cui+, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, and Jinsong Su*. 2024. Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. In Proc. of ACL2024. (CCF-A类)

[21] Zhiwei Cao+, Qian Cao+, Yu Lu, Ningxin Peng, Luyang Huang, Shanbo Cheng*, and Jinsong Su*. 2024. Retaining Key Information under High Compression Rates: Query-Guided Compressor for LLMs. In Proc. of ACL2024. (CCF-A类)

[20] Yongjing Yin+, Jiali Zeng+, Jinsong Su*, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang, and Jiebo Luo. 2023. Multi-modal Graph Contrastive Encoding for Neural Machine Translation. Artificial Intelligence. (CCF-A类).

[19] Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang and Jinsong Su*. 2023. Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. In Proc.  of ACL2023. (CCF-A类)

[18] Zhibin Lan+, Jiawei Yu+, Xiang Li, Wen Zhang, Jian Luan, Bin Wang, Degen Huang and Jinsong Su*. 2023. Exploring Better Text Image Translation with Multimodal Codebook. In Proc.  of ACL2023. (CCF-A类)

[17] Ante Wang+, Linfeng Song+, Qi Liu, Longyue Wang, Zhaopeng Tu, Jinsong Su*, Dong Yu. 2023. Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production. Artificial Intelligence. (CCF-A类)

[16] Chulun Zhou+, Yunlong Liang+, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang and Jinsong Su*. 2023. A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A类)

[15] Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su*. 2022. Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. In Proc. of ACL2022. (CCF-A类)

[14] Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu and Jinsong Su*. 2021. Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. In Proc. of ACL2021. (CCF-A类)

[13] Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang and Jinsong Su*. 2021. Towards User-Driven Neural Machine Translation. In Proc. of ACL2021. (CCF-A类)

[12] Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang and Jinsong Su*. 2021. Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. In Proc. of ACL2021. (CCF-A类)

[11] Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, and Jiebo Luo. 2021. Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning. Artificial Intelligence. (CCF-A类)

[10] Yongjing Yin, Fandong Meng, Jinsong Su*, Chulun Zhou, Zhengyuan Yang, Jie Zhou and Jiebo Luo. 2020. A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. In Proc. of ACL2020. (CCF-A类)

[9] Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su*, Sheng Guo and Hua Wu. 2020. Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer. In Proc. of ACL2020. (CCF-A类)

[8] Linfeng Song, Ante Wang, Jinsong Su*, Yue Zhang, Kun Xu, Yubin Ge and Dong Yu. 2020. Structural Information Preserving for Graph-to-Text Generation. In Proc. of ACL2020. (CCF-A类)

[7] Jinsong Su, Jiali Zeng, Jun Xie, Huating Wen, Yongjing Yin and Yang Liu. 2019. Exploring Discriminative Word-Level Domain Contexts for Multi-domain Neural Machine Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A类).

[6] Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao and Yang Liu. 2019. Exploiting Reverse Target-Side Contexts for Neural Machine Translation via Asynchronous Bidirectional Decoding. Artificial Intelligence. (CCF-A类)

[5] Jialong Tang, Ziyao Lu, Jinsong Su*, Yubin Ge, Linfeng Song, Le Sun and Jiebo Luo. 2019. Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. In Proc. of ACL2019. (CCF-A类)

[4] Biao Zhang, Deyi Xiong, Jinsong Su*. 2018. Neural Machine Translation with Deep Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A类)

[3] Biao Zhang, Deyi Xiong, Jinsong Su*. 2018. Accelerating Neural Transformer via an Average Attention Network. In Proc. of ACL 2018. (CCF-A类)

[2] Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang. 2015. A Context-Aware Topic Model for Statistical Machine Translation. In Proc. of ACL 2015, Oral. (CCF-A类)

[1] Jinsong Su*, Hua Wu, Haifeng Wang, Yidong Chen, Xiaodong Shi, Huailin Dong, Qun Liu. 2012. Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information. In Proc. of ACL 2012, Oral. (CCF-A类)


厦门大学 厦门大学信息科学学院 厦门大学软件工程系 厦门大学信息科学系