I am a second-year PhD student at Department of Computing, The Hong Kong Polytechnic University (PolyU), under the supervision of Prof. Xiao-Ming Wu. 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

I have broad interests in Natural Language Processing (NLP), including dialogue state tracking, user satisfaction estimation, and out-of-distribution detection.

Currently, my focus is on Large Language Models and task skill localization. This involves detecting or localizing the importance distribution of parameters within Pre-trained Language Models, with the aim of achieving more efficient and effective multi-task learning or continual learning in the field of NLP.

Previously, during my master’s studies, I did some research on spatial-temporal data imputation using Generative Adversarial Networks.

News

• 2024.02 Severed as a reviewer at ACL 2024 and KDD 2024.
• 2023.10 One paper is accepted by EMNLP 2023.

Publications

• How Good Are LLMs at Out-of-Distribution Detection? [PDF] [Code]
  Bo Liu, Liming Zhan, Zexin Lu, Yujie Feng, Lei Xue, Xiao-Ming Wu.
  International Conference on Computational Linguistics (COLING 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).

• 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 (IEEE TBD).

• 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 (ACM HEALTH).

• 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

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
• Conference Reviewer
  ACL (2024), EMNLP (2023), KDD(2024).

Experiences

• 2018/11 - 2019/06: Research intern at Tsinghua University. (Advisor: Dr. Zhichao Li)