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Yang Ji

Ph.D. Graduate @HKUST(GZ)

I am an upcoming Ph.D. graduate from the Information Hub, AI Thrust at the Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Ying Sun and Prof. Hui Xiong. Prior to HKUST(GZ), I received my MPhil from Hong Kong Baptist University (HKBU) in Hong Kong, and my B.E. from Huazhong University of Science and Technology (HUST) in Wuhan.

My research interests include:

  • Explainable AI
  • LLM Efficiency and Explainability
  • AI for Science

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Selected Publications

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  1. OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs

    Yang Ji, Ying Sun

    Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL)2026
  2. Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach

    Yang Ji, Ying Sun, Hengshu Zhu

    Frontiers of Computer Science2026
  3. A Comprehensive Survey on Self-Interpretable Neural Networks

    Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong

    Proceedings of the IEEE2025
  4. Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning

    Ying Sun*, Yang Ji*, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong

    ACM Transactions on Information Systems (TOIS)2025(* Co-first authors)
  5. DCert: Towards Secure, Efficient, and Versatile Blockchain Light Clients

    Yang Ji, Cheng Xu, Ce Zhang, Jianliang Xu

    23rd ACM/IFIP International Middleware Conference (Middleware)2022
  6. vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval

    Shangwei Guo, Yang Ji, Ce Zhang, Cheng Xu, Jianliang Xu

    Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE)2020
  7. vABS: Towards Verifiable Attribute-Based Search over Shared Cloud Data

    Yang Ji, Cheng Xu, Jianliang Xu, Haibo Hu

    Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE)2019