I am a fourth-year Ph.D. candidate at Department of Computing, The Hong Kong Polytechnic University (PolyU), under the supervision of Prof. Xiao-Ming Wu. Currently, I am remotely visiting the University of Illinois at Chicago (UIC), where I am honored to work with Prof. Philip S. Yu.

Prior to that, I obtained my Master degree from Peking University (PKU) under the supervision of Prof. Yasha Wang and Bachelor degree from Harbin Institute of Technology, Weihai (HIT).

Research Interests

My research interests broadly lie in Natural Language Processing (NLP) and Large Language Models (LLMs).

My recent work focuses on efficiently and continually adapting LLMs to an ever-changing world characterized by emerging domains and new information. This includes topics such as continual learning, model editing, and retrieval-augmented generation. Additionally, I have explored LLM post-training and evaluation within the context of Conversational AI, covering tasks like dialogue state tracking and user satisfaction estimation.

📢 I am currently on the job market and expect to graduate in Summer 2026. I am open to opportunities in both academic and industrial positions. Please feel free to contact me if you have suitable openings!

🔥 News

• 2025.08: 🎉 Two first-author papers have been accepted to EMNLP 2025!
• 2025.07: 🎉 One co-author paper has been accepted to COLM 2025!
• 2025.05: 🎉 One first-author paper and one co-author paper have been accepted to ACL 2025!
• 2024.12: 🎉 One co-author paper has been accepted to AAAI 2025!
• 2024.09: 🎉 One co-first-author paper has been accepted to EMNLP 2024!
• 2024.08: 🥳 One paper about continual learning is online!
• 2024.05: 🎉 Two first-author papers have been accepted to ACL 2024 (1 Main + 1 Findings)!
• 2024.02: 🎉 One co-author paper has been accepted to COLING 2024!
• 2023.10: 🎉 One first-author paper has been accepted by EMNLP 2023!

Preprint

• TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning.
  Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo LIU, Philip S. Yu, Xiao-Ming Wu.
  [arXiv] (Extension of the ACL 2024 paper)

Selected Publications

• AIMMerging: Leveraging Training Trajectories for Adaptive Iterative Model Merging in Language Model Continual Learning.
  Yujie Feng, Jian Li, Xiaoyu Dong, Pengfei Xu, Xiaohui Zhou, Yujia Zhang, Zexin Lu, Yasha Wang, Alan Zhao, Xu Chu, Xiao-Ming Wu.
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

• GeoEdit: Geometric Knowledge Editing for Large Language Models.
  Yujie Feng, Liming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu.
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

• Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. [PDF] [Code]
  Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu.
  The 63nd Annual Meeting of the Association for Computational Linguistics (ACL 2025).

• TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. [PDF] [Code]
  Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan SHI, Bo LIU, Xiao-Ming Wu.
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

• Continual Dialogue State Tracking via Reason-of-Select Distillation. [PDF] [Code]
  Yujie Feng, Bo LIU, Xiaoyu DONG, ZEXIN LU, Li-Ming Zhan, Albert Y.S. Lam, Xiao-Ming Wu.
  Findings of the Association for Computational Linguistics (ACL-Findings 2024).

• Towards LLM-driven Dialogue State Tracking. [PDF] [Code]
  Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, Xiao-Ming Wu.
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2023).

• Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. [PDF] [Code]
  Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu.
  ACM Transactions on Computing for Healthcare, 2023. (ACM HEALTH, IF: 7.15)

• Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. [PDF] [Code]
  Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu.
  IEEE Transactions on Big Data, 2022. (IEEE TBD, IF: 7.5)

• Completing missing prevalence rates for multiple chronic diseases by jointly leveraging both intra-and inter-disease population health data correlations. [PDF] [Code]
  Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal.
  Proceedings of the Web Conference 2021 (WWW 2021).

Honors and Awards

• Excellent Graduation Thesis of Peking University 2022
• Merit student of Peking University 2020
• Outstanding Graduates of Shandong Province 2019
• Excellent Graduation Thesis of Harbin Institute of Technology 2019
• Merit student of Harbin Institute of Technology 2016, 2017, 2018

Internships

• 2025/04 - Present, Tencent (Qingyun Project), Shenzhen.
• 2018/11 - 2019/06, Tsinghua University, Beijing.

Activity and Service

• Teaching Assistant
  COMP 2421: Computer Organization, Spring 2024 | 2023, PolyU
  COMP 6704: Advanced Topics in Optimization, Fall 2024 | 2023, PolyU
  COMP 5523: Computer Vision and Image Processing, Spring 2023 | 2022, PolyU
  COMP 2021: Data Structures, Fall 2023 | 2022, PolyU
  C Language, Fall 2017 | 2016, HITwh
• Reviewer of ACL/EMNLP/NAACL/NeurIPS/KDD/TNNLS