About Me

I am currently an Assistant Professor (Research) at the Department of Computing at the Hong Kong Polytechnic University (PolyU). I received my Ph.D. degree in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST) in 2023, advised by Prof. Lei Chen. Prior to that, I received my Bachelor’s degree in Computer Science and Technology from the ACM Honor Class at Huazhong University of Science and Technology (HUST) in 2018, advised by Prof. Hai Jin.

Email and address: haoyang-comp.li@polyu.edu.hk, PQ810 PolyU.

Position Opening

• For PolyU undergraduates, if you choose me as your capstone supervisor, you will work on the most advanced AI work. But please note that hard work will result in a good score, while lack of effort, missed deadlines, or poor teamwork will lead to a lower score.
• Self-motivated undergraduate and master's students with strong coding skills (from PolyU, mainland universities, etc.), who are interested in our research topics, are also welcome. These students will be given priority consideration for PhD opportunities.
• The PhD positions starting from 2025/09 or later are now open. The admitted PhD candidate will be supervised by myself and our department head Prof. Qing Li.

• Self-funded PhD/MPhil candidates and visiting scholars are also welcome.

Research Interests

• Data Management for Machine Learning
• Data-driven Machine Learning
• Data and Model Security
• Large Language Models
• Graph Neural Networks and Knowledge Bases

Selected Preprints

• GraphKnow: An Efficient and Effective Graph Foundation Model for Diverse Graph Tasks

• Towards A Generalizable and Expressive Graph Neural Network for Graph-Level Tasks with Theoretical Guarantees
  Haoyang Li, Yuming Xu, Chen Jason Zhang, Alexander Zhou, Lei Chen, Qing Li.

• Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained Models
  Jiachuan Wang, Shimin Di, Tianhao Tang, Haoyang Li, Charles Wang-wai Ng, Xiaofang Zhou, Lei Chen

• PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing
  Cheng Deng, Luoyang Sun, …, Haoyang Li, Lei Chen, Lionel M Ni, Haifeng Zhang, Jun Wang

• A Selective Learning Method for Temporal Graph Continual Learning
  Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen

• Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
  Haoyang Li, Xuejia Chen, Zhanchao Xu, Darian Li, Nicole Hu, Fei Teng, Yiming Li, Luyu Qiu, Chen Jason Zhang, Qing Li, Lei Chen.

• When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction
  Haoyang Li, Yuming Xu, Yiming Li, Hanmo Liu, Darian Li, Chen Jason Zhang, Lei Chen, Qing Li.

• Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments and Analysis
  Haoyang Li, Yuming Xu, Chen Jason Zhang, Alexander Zhou, Lei Chen, Qing Li.

• LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation
  Fei Teng, Haoyang Li, Lei Chen.

• GORAG: Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification
  Yubo Wang, Haoyang Li, Fei Teng, Lei Chen.

• Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference
  Qingfa Xiao, Jiachuan Wang, Haoyang Li, Cheng Deng, Jiaqi Tang, Shuangyin Li, Yongqi Zhang, Jun Wang, Lei Chen.

Publications [Full List]

* denotes Corresponding Author

• A Survey on Large Language Model Acceleration based on KV Cache Management
  Haoyang Li, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole Hu, Wei Dong, Qing Li, Lei Chen.
  Transactions on Machine Learning Research (TMLR 2025)

• SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding
  Zhifeng Jia, Hanmo Liu, Haoyang Li*, Lei Chen.
  The 41th IEEE International Conference on Data Engineering (ICDE 2025)

• Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense
  Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou.
  The 50th International Conference on Very Large Databases (VLDB 2024)

• E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
  Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou.
  The 40th IEEE International Conference on Data Engineering (ICDE 2024)

• Effective Data Selection and Replay for Unsupervised Continual Learning
  Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou.
  The 40th IEEE International Conference on Data Engineering (ICDE 2024)

• EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs
  Haoyang Li, Lei Chen.
  The 2023 International Conference on Management of Data (SIGMOD 2023)

• AIR: Adaptive Incremental Embedding Updating for Dynamic Knowledge Graphs
  Zhifeng Jia, Haoyang Li, Lei Chen.
  The 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023)

• Revisiting Injective Attacks on Recommender Systems
  Haoyang Li, Shimin Di, Lei Chen.
  The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

• Black-box Adversarial Attack and Defense on Graph Neural Networks
  Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao.
  The 38th IEEE International Conference on Data Engineering (ICDE 2022)

• Cache-based GNN System for Dynamic Graphs
  Haoyang Li, Lei Chen.
  The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)

• Fine-Grained Entity Typing via Label Noise Reduction and Data Augmentation
  Haoyang Li, Xueling Lin, Lei Chen.
  The 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021)

• KBPearl: a Knowledge Base Population System Supported by Joint Entity and Relation Linking
  Xueling Lin, Haoyang Li, Hao Xin, Zijian Li, Lei Chen.
  The 46th International Conference on Very Large Databases (VLDB 2020)

  Academic Service

• PC Member: WWW 2025, ICDE 2025, AAAI 2025, DASFAA 2025/2024, ECAI 2024, RobustRecSys 2024
• Conference Reviewer: KDD 2025-2020, AISTATS 2025, ICML 2025/2024/2023, ICLR 2025/2024/2023, NeurIPS 2024/2023, WWW 2021/2022
• Journal Reviewer: TKDE, TOIS, TBD, TETCI, Neural Networks