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Zeyi Wen

Assistant Professor

Contact

Data Science and Analytics (DSA) Thrust, Information Hub,
Hong Kong University of Science and Technology, Guangzhou (HKUST-GZ)
Email: myname@ust.hk, where myname=wenzeyi
Office address: Room 312, E2 Building, 1 DuXue Rd, Nansha District, Guangzhou, China

Short Bio

Research Interests (publications)

  • Machine Learning Systems, Automatic Machine Learning, and High-Performance Computing

Teaching

Current Courses at HKUST-GZ
  • Fall 2023 & 2022, DSAA 6000G Automatic Machine Learning
  • Spring 2023 & 2024, DSAA 6000H Data Warehousing
Past Courses at UWA
  • Semester 1, 2020 & 2021: CITS3401/5504 Data Warehousing
  • Semester 2, 2020 & 2021: CITS5507 High Performance Computing

Graduate Supervision

  • Current graduate students and their research
    NameResearch
    Xinhao Huang (PhD student at HKUST-GZ from Spring 2024)Efficient reinforcement learning for LLMs and MLsys
    Youliang Huang (MPhil student at HKUST-GZ from Fall 2023)Efficient fine-tuning for LLMs
    Zhenya Zheng (Visiting MPhil student at HKUST-GZ from Fall 2023)Automatic feature engineering
    Jihang Li (PhD student at HKUST-GZ since Fall 2023)Learning operator acceleration with GPUs
    Minping Chen (PhD student at HKUST-GZ since Fall 2023)Efficient fine-tuning for LLMs
    Yuebin Xu (PhD student at HKUST-GZ since Fall 2023)Hyper-parameter optimization (HPO) for LLMs
    Xuemei Peng (PhD student at HKUST-GZ since Spring 2023)Efficient LLM serving
    Yile Chen (Visiting PhD student at HKUST-GZ since 2022)Hyper-parameter optimization (HPO)
    Tong Yuan (MPhil student at HKUST-GZ since Fall 2022)Privacy preserving ML
    Hanfeng Liu (PhD student at HKUST-GZ since Fall 2022)Parallel GBDT training
    Jian Yang (PhD student at HKUST-GZ since Fall 2022)GNN efficiency optimization
    Jiantong Jiang (PhD student at UWA since 2021)Graphical model efficiency optimization and HPO
    Peiyu Yang (PhD student at UWA since 2021)Interpretable artificial intelligence

Selected Professional Activities

  • Action Editor (AE) for MLOSS section: Journal of Machine Learning Research (JMLR)
  • Program Committee or Reviewer
    • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
    • ACM Conference on Information and Knowledge Management (CIKM), 2023
    • The 27th International Conference on Extending Database Technology (EDBT), 2024
    • 2023: KDD, SC, AAAI, CIKM, WSDM, SIGIR, ECML-PKDD, CCGrid,
    • 2022: KDD, SC, AAAI, SIGIR, WSDM, CIKM, CVPR, ECCV
    • 2021: KDD, AAAI, SIGIR, WSDM, ICDCS, HiPC (Track Vice-Chair), ICPADS, CCGrid, CLUSTER
    • HiPC'20, ICDCS'20, ISC'20 (HPC), SBAC-PAD'20, SIGIR'20, ADC'20, CIKM'19, CSS'17