Yun Chen

Yun Chen

Shanghai University of Finance and Economics
School of Computing and Artificial Intelligence

👋 Hi !

I am a tenured Associate Professor at the School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics (SUFE). I received my Ph.D. from The University of Hong Kong in 2018, and my Bachelor’s degree from Tsinghua University in 2013. I have published over 50 papers in top-tier international conferences and high-impact journals, including ACL, EMNLP, ICML, NeurIPS, ICLR, SIGKDD, NAACL, AAAI, TASLP.

My research interests span Large Language Models, Multimodal AI, LLM-based Agents, and AI for Finance. Feel free to reach out at yunchen@sufe.edu.cn.

📣 Positions available: Master / PhD program students for 2027 fall.
招收博士生、硕士生，并长期招收访问学生，欢迎有志于研究大模型、智能体、多模态模型和金融科技的同学加入本课题组！请附简历邮件联系。

🔥 News

  • 2026.05:  🎉🎉 One paper accepted by SIGKDD 2026 (Research Track): SAFT .
  • 2026.05:  🎉🎉 My PhD student Zeguan Xiao has successfully completed his thesis defense. Congratulations!
  • 2026.05:  🎉🎉 Two papers accepted by ICML 2026: PRINMIX.
  • 2026.04:  🎉🎉 Ten papers accepted by ACL 2026 (five Main, five Findings).
  • 2026.01:  🎉🎉 Two papers accepted by ICLR 2026: BiasScope and InfoScan.
  • 2026.01:  🎉🎉 One paper accepted by ICASSP 2026: Compound-QA.
  • 2025.12:  Serving as Area Chair for ARR 2026 January.
  • 2025.11:  🎉🎉 One paper accepted by AAAI 2026 on uncertainty estimation in LLMs.
  • 2025.08:  🎉🎉 One paper accepted by NeurIPS 2025 on LLM-as-a-Judge alignment.
  • 2025.08:  🎉🎉 Two papers accepted by EMNLP 2025: Pi-SQL and G2.
  • 2025.07:  Serving as Area Chair for ARR 2025 July.
  • 2025.05:  🎉🎉 Three papers accepted by ACL 2025: ImPart, TAG-Instruct, FANNO.
  • 2025.01:  🎉🎉 Four papers accepted by NAACL 2025: MiLoRA, SeqAR, FinEval, LayAlign.

📝 Selected Publications

2026

  1. SAFT: Safety-Preserving Adaptation via Fine-Tuning Transfer for Large Language Models Zhiwen Ruan, Yan Yang, Zhuocheng Liang, Yun Chen, Guanhua Chen. SIGKDD 2026 (CCF-A).
  2. Principled SVD-based Delta Compression via Quantization Error Minimization
    Boya Xiong, Shuo Wang, Weifeng Ge, Guanhua Chen, Yun Chen. ICML 2026 (CCF-A).
  3. Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification Tianyi Wang, Long Li, Hongcan Guo, Yibiao Chen, Yixia Li, Yong Wang, Yun Chen, Guanhua Chen. ICML 2026 (CCF-A).
  4. Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
    Zeguan Xiao, Siqing Li, Yong Wang, Xuetao Wei, Jian Yang, Yun Chen, Guanhua Chen. ACL 2026 Main (CCF-A).
  5. SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks
    Tianyi Wang, Yixia Li, Long Li, Yibiao Chen, Shaohan Huang, Yun Chen, Peng Li, Yang Liu, Guanhua Chen. ACL 2026 Main (CCF-A).
  6. GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
    Zhiwen Ruan, Yichao Du, Jianjie Zheng, Longyue Wang, Yun Chen, Peng Li, Jinsong Su, Yang Liu, Guanhua Chen. ACL 2026 Main (CCF-A).
  7. VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation
    Yixia Li, Yaqing Shi, Zhiwen Ruan, Dongdong Zhang, Lingjie Jiang, Shaohan Huang, Yun Chen, Guanhua Chen, Furu Wei. ACL 2026 Main (CCF-A).
  8. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
    Junyou Su, He Zhu, Xiao Luo, Liyu Zhang, Hong-Yu Zhou, Yun Chen, Peng Li, Yang Liu, Guanhua Chen. ACL 2026 Main (CCF-A).
  9. Toward Automated Robustness Evaluation of Mathematical Reasoning
    Yutao Hou, Zeguan Xiao, Fei Yu, Yihan Jiang, Shuguang Ma, Zhaoqian Dai, Hailiang Huang, Yun Chen, Guanhua Chen. Findings of ACL 2026.
  10. FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios
    Yutao Hou, Yihan Jiang, Yuhan Xie, Jian Yang, Liwen Zhang, Hailiang Huang, Guanhua Chen, Yun Chen. Findings of ACL 2026.
  11. Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
    Zeguan Xiao, Yun Chen, Jian Yang, Guanhua Chen, Ke Tang. Findings of ACL 2026.
  12. Representation-Guided Parameter-Efficient LLM Unlearning
    Zeguan Xiao, Lang Mo, Yun Chen, Lei Yang, Jiehui Zhao, Lili Yang, Guanhua Chen. Findings of ACL 2026.
  13. Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
    Hanqing Wang, Yongdong Chi, Jian Yang, Lei Yang, Jiehui Zhao, Yun Chen, Guanhua Chen. Findings of ACL 2026.
  14. BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
    Peng Lai, Zhihao Ou, Yong Wang, Longyue Wang, Jian Yang, Yun Chen, Guanhua Chen. ICLR 2026 (CCF-A).
  15. Compound-QA: A Benchmark for Evaluating LLMs on Compound Questions
    Yutao Hou, Yajing Luo, Zhiwen Ruan, Hongru Wang, Weifeng Ge, Yun Chen, Guanhua Chen. ICASSP 2026 (CCF-B).
  16. Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
    Zeguan Xiao, Diyang Dou, Boya Xiong, Yun Chen, Guanhua Chen. AAAI 2026 (CCF-A).

2025

  1. Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations
    Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, Guanhua Chen. NeurIPS 2025 (CCF-A).
  2. G2: Guided Generation for Enhanced Output Diversity in LLMs
    Zhiwen Ruan, Yixia Li, Yefeng Liu, Yun Chen, Weihua Luo, Peng Li, Yang Liu, Guanhua Chen. EMNLP 2025 Main (CCF-B). [PDF]
  3. Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
    Hanqing Wang, Zonghan Yang, Jian Yang, Xiao Yan, Yun Chen, Guanhua Chen. Findings of EMNLP 2025. [PDF]
  4. ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
    Yan Yang, Yixia Li, Hongru Wang, Xuetao Wei, Jianqiao Yu, Yun Chen, Guanhua Chen. ACL 2025 Main (CCF-A). [PDF]
  5. TAG-Instruct: Controlled Instruction Complexity Enhancement through Structure-Based Augmentation
    He Zhu, Zhiwen Ruan, Junyou Su, Xingwei He, Wenjia Zhang, Yun Chen, Guanhua Chen. Findings of ACL 2025. [PDF]
  6. FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
    He Zhu, Yifan Ding, Yicheng Tao, Zhiwen Ruan, Yixia Li, Wenjia Zhang, Yun Chen, Guanhua Chen. Findings of ACL 2025. [PDF]
  7. MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
    Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen. NAACL 2025 Main (CCF-B). [PDF]
  8. SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
    Yan Yang, Zeguan Xiao, Xin Lu, Hongru Wang, Xuetao Wei, Hailiang Huang, Guanhua Chen, Yun Chen. NAACL 2025 Main (CCF-B). [PDF]
  9. FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
    Xin Guo, et al., Yun Chen, Weining Shen, Liwen Zhang. NAACL 2025 Main (CCF-B). [PDF]
  10. LayAlign: Enhancing Multilingual Reasoning in LLMs via Layer-Wise Adaptive Fusion and Alignment
    Zhiwen Ruan, Yixia Li, He Zhu, Longyue Wang, Weihua Luo, Kaifu Zhang, Yun Chen, Guanhua Chen. Findings of NAACL 2025. [PDF]

2024

  1. SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
    Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen. NeurIPS 2024 (CCF-A). [PDF]
  2. 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. NeurIPS 2024 (CCF-A). [PDF]
  3. Distract Large Language Models for Automatic Jailbreak Attack
    Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen. EMNLP 2024 Main (CCF-B). [PDF]
  4. LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
    Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun. ACL 2024 Main (CCF-A). [PDF]
  5. PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
    Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen. Findings of ACL 2024.

2023

  1. StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation
    Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen. Findings of EMNLP 2023. [PDF]
  2. mCLIP: Multilingual CLIP via Cross-lingual Transfer
    Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang. ACL 2023 (CCF-A). [PDF]
  3. Lexical Complexity Controlled Sentence Generation for Language Learning
    Jinran Nie, Liner Yang, Yun Chen, Cunliang Kong, Junhui Zhu, Erhong Yang. CCL 2023 — Best English Paper Award. [PDF]

2022

  1. XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation
    Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang. EMNLP 2022 Main (CCF-B). [PDF]
  2. Multilingual Sentence Transformer as A Multilingual Word Aligner
    Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen. Findings of EMNLP 2022 (short). [PDF]
  3. Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
    Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. ACL 2022 Main (CCF-A). [PDF]
  4. Multitasking Framework for Unsupervised Simple Definition Generation
    Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, Erhong Yang. ACL 2022 Main (CCF-A). [PDF]

2021

  1. Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
    Guanhua Chen, Shuming Ma, Yun Chen, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. EMNLP 2021 Main (CCF-B). [PDF]
  2. Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
    Guanhua Chen, Yun Chen, Victor O.K. Li. AAAI 2021 (CCF-A). [PDF]

2020

  1. Accurate Word Alignment Induction from Neural Machine Translation
    Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu. EMNLP 2020 Main (CCF-B). [PDF]
  2. Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
    Guanhua Chen, Yun Chen, Yong Wang, Victor O.K. Li. IJCAI 2020 (CCF-A). [PDF]
  3. Perturbed Masking: Parameter-Free Probing for Analyzing and Interpreting BERT
    Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu. ACL 2020 Main (CCF-A). [PDF]
  4. Reinforced Zero-shot Cross-lingual Neural Headline Generation
    Ayana, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun. IEEE TASLP 2020 (CCF-B). [PDF]
  5. Incorporating Sememes into Chinese Definition Modeling
    Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang. IEEE TASLP 2020 (CCF-B). [PDF]

2018

  1. A Stable and Effective Learning Strategy for Trainable Greedy Decoding
    Yun Chen, Victor O.K. Li, Kyunghyun Cho, Samuel R. Bowman. EMNLP 2018 Main (CCF-B). [arXiv]
  2. Meta-Learning for Low-Resource Neural Machine Translation
    Jiatao Gu, Yong Wang, Yun Chen, Victor O.K. Li, Kyunghyun Cho. EMNLP 2018 Main (CCF-B). [arXiv]
  3. Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
    Yun Chen, Yang Liu, Victor O.K. Li. AAAI 2018 (CCF-A). [arXiv]
  4. Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning
    Yun Chen, Kyunghyun Cho, Samuel R. Bowman, Victor O.K. Li. ICLR Workshop 2018. [OpenReview]
  5. Zero-Shot Cross-Lingual Neural Headline Generation
    Ayana, Shiqi Shen, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun. IEEE TASLP 2018 (CCF-B). [PDF]

2017

  1. A Teacher-Student Framework for Zero-Resource Neural Machine Translation
    Yun Chen, Yang Liu, Yong Cheng, Victor O.K. Li. ACL 2017 Main (CCF-A). [PDF]

💸 Research Grants (as PI)

  • National Natural Science Foundation of China (NSFC) - Young Scientists Fund
  • National Natural Science Foundation of Shanghai - Young Scientists Fund
  • Shanghai Youth Science and Technology Talent Sailing Program

🏆 Awards

  • Outstanding Young Female Scholar of SUFE（2025）
  • Excellent Supervisor of Graduation Thesis（2025）
  • Star Scholar Program of MSRA (2023)
  • Best English Paper Award of CCL (2023)
  • Overseas High-Level Talents of Shanghai（2020）

👨‍🏫 Academic Service

  • Long-term Area Chair for ACL Rolling Review.
  • Long-term reviewer for CCF Class A conferences including ICML, ICLR, KDD, AAAI.
  • Long-term reviewer for journals inlcuding TPAMI, AIJ, FCS, TALLIP.

👥 Graduate Student Supervision

Supervised 13 graduate students, with 2 graduates to date. Notable student achievements include:

  • Two graduent students received the Academic Star Award of SUFE (Hanqing Wang 2025; one of five university-wide recipients) and the Academic Star Nomination Award of SUFE (Yan Yang 2025; one of ten university-wide recipients).
  • One master student (Boya Xiong 2026) was honored as a ‘Shanghai Outstanding Graduate’.
  • Two master students (Yan Yang 2026, Yajing Luo 2025) and one PhD student (Zeguan Xiao 2026) were honored as ‘Outstanding Graduates of SUFE’.
  • Two graduent students received National Scholarship (Yan Yang 2025, Hanqing Wang 2025).
  • One undergraduate student (Jiayang Li 2025) received the ‘Outstanding Graduation Thesis of SUFE’.