Publications

🍋 :corresponding authors, 🐟 :contributing equally.

2024

  1. What Do Code Models Memorize? An Empirical Study on Large Language Models of Code
    Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, Donggyun Han, and David Lo
    In 2024

2023

  1. Alleviating the Long-Tail Problem in Conversational Recommender Systems
    Zhipeng Zhao \(^🐟\), Kun Zhou \(^🐟\), Xiaolei Wang, Wayne Xin Zhao \(^🍋\), Fan Pan,  Cao, and Ji-Rong Wen
    In Proceedings of the 17th ACM Conference on Recommender Systems 2023
  2. Multi-Granularity Detector for Vulnerability Fixes
    Truong-Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, and David Lo
    IEEE Transactions on Software Engineering 2023
  3. Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?
    Ratnadira Widyasari, Zhipeng Zhao, Thanh Le Cong, Hong Jin Kang, and David Lo
    In 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2023
  4. CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports
    Yu-zeng Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, and David Lo
    2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) 2023

2020

  1. arXiv
    Self-attention comparison module for boosting performance on retrieval-based open-domain dialog systems
    Tian Lan, Xian-Ling Mao \(^🍋\), Zhipeng Zhao, Wei Wei, and Heyan Huang
    2020