Publications

• Understanding Layer Significance in LLM Alignment. [PDF]
  Guangyuan Shi, Zexin Lu, Xiaoyu Dong, Wenlong Zhang, Xuanyu Zhang, Yujie Feng, Xiao-Ming Wu.
  COLM 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).

• Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. [PDF]
  Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang.
  The 63nd Annual Meeting of the Association for Computational Linguistics (ACL 2025).

• Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding. [PDF]
  Xiaoyu DONG*, Yujie Feng*, ZEXIN LU, Guangyuan SHI, Xiao-Ming Wu. (*: Equal Contribution)
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2024).

• 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, Xiao-Ming Wu, Albert Y.S. Lam.
  Findings of the Association for Computational Linguistics (ACL-Findings 2024).

• 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.

• 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).

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