陈云,计算机与人工智能学院副教授、博士生导师，研究方向为大语言模型，包括大模型训练和推理加速、多模态多语言大模型、基于大模型的数据智能等。她于2018年在香港大学获得博士学位，2013年在清华大学电子系获得学士学位。她在ACL、NeurIPS、EMNLP、SIGKDD、ICLR、AAAI、IJCAI等CCF A/B类国际顶级期刊会议上发表学术论文三十余篇，获得CCL 2023最佳英文论文奖，入选微软亚洲研究院2023铸星学者和2020上海市海外人才计划。目前担任中文信息学会青年工作委员会委员，国际会议ACL、EMNLP、SIGKDD、NAACL、AAAI、COLING等的程序委员会成员以及期刊AIJ、ACM TALLIP、JCST、FCS、自动化学报等的审稿人，曾担任EMNLP和CCL领域主席。
2018, 香港大学电机与电子工程系, 博士
2013, 清华大学微纳电子系, 学士
2024.12-现在，上海财经大学计算机与人工智能学院，副教授，博士生导师
2019.12-2024.12，上海财经大学信息管理与工程学院，助理教授、副教授
完整列表见 Google Scholar
2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
Yan Yang, Yixia Li, Hanqing Wang, Xuetao Wei, Jianqiao Yu, Yun Chen*, Guanhua Chen. In Proceedings of ACL 2025. (CCF A)
TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
He Zhu, Zhiwen Ruan, Junyou Su, Xingwei He, Yun Chen, Wenjia Zhang, Guanhua Chen. In Findings of ACL 2025. (CCF A)
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen*. In Proceedings of NAACL 2025. (CCF B)
SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Xuetao Wei, Hailiang Huang, Guanhua Chen, Yun Chen*. In Proceedings of NAACL 2025. (CCF B)
2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen*. In Proceedings of NeurIPS 2024. (CCF A)
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun. In Proceedings of NeurIPS 2024. (CCF A)
Distract Large Language Models for Automatic Jailbreak Attack
Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen*. In Proceedings of EMNLP 2024. (CCF B)
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen*, Ziyuan Liu, Maosong Sun. In Proceedings of ACL 2024. (CCF A)
PACIT: Unlocking the Power of Examples for Better In-Context
Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen. In Findings of ACL 2024. (CCF A)
2021.04-2024.04，主持，上海市科委扬帆计划 融入预训练语言模型的神经机器翻译关键技术研究
2022.01-2024.12，主持，国家自然科学基金青年项目，面向资源匮乏型领域的神经机器翻译关键技术研究
