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wjw136/README.md

  • 👋 Hi, I’m william. Master from SCUT.

  • 👀 I’m interested in LLM privacy protection，LLM efficient reasoning and previously work on Information Extraction.

  • 📫 How to reach me: wjwfyu@gmail.com

  • 📖 Published Papers:

  1. [EMNLP 2025] RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng.
  2. [ACL 2025] PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. Ziqian Zeng*, Jianwei Wang*, Junyao Yang*, ZhengdongLu, Haoran Li, Huiping Zhuang, Cen Chen.
  3. [AEJ Journal JCR-Q1] 3D-AOCL: Analytic online continual learning for imbalanced 3D point cloud classification. Z Zeng, J Wang, L Wu, W Lu, H Zhuang.
  4. [COLING 2024] On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction. Jianwei Wang, Tianyin Wang, Ziqian Zeng.

Pinned Loading

  1. ZeroNLP/Clean_LaVe ZeroNLP/Clean_LaVe Public

    Official Implementation of Clean_LaVe

    Python 2

  2. ChatLip ChatLip Public

    A comprehensive model for voice-driven lip movement generation.

    Python 2

  3. PrivacyRestore PrivacyRestore Public

    [ACL2025]: Official Code of "PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration"

    Python 6

  4. RewardDS RewardDS Public

    [EMNLP2025]: Official Code of "RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis"

    Python 4 1