苏劲松 国家级青年人才项目入选者、教授、博士生导师

中国科学院计算技术研究所博士(2011)

研究方向:自然语言处理,大语言模型,AI for Sciences

电子邮件:jssu@xmu.edu.cn

个人主页:https://cdmc.xmu.edu.cn/info/1010/1054.htm

个人简历:


[荣誉]

  • 23年国家示范性软件学院20周年优秀专职教师奖

  • 23年度全球前2%顶尖科学家

  • 22年厦门大学南强青年拔尖A类人才

  • 21年“国家特支计划”青年拔尖人才

  • 20年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、自然语言生成与智能写作专委会委员

  • 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)

  • 中国人工智能学会组织工作委员会委员、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ACL21/22/23/24、EMNLP19/20/22/24、NAACL24、COLING22/24领域主席

  • 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年度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130余篇,部分代表作如下:

[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 ACL 2024. (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 ACL 2024. (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)