About Me

I am a forth-year PhD candidate in Data Science and Analytics, HKUST. My reserach interest lies in efficient machine learning, including continual learning on different data modalities and efficient auto machine learning. I am honoured to be supervised by Prof. CHEN, Lei. Prior to my PhD study, I received my B.Sc. degree in Honors Physics and Computer Science from HKUST in 2021.

Email / CV / Google Scholar

Publications

• Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen. “Knowledge Benchmark Graph: Assisting Large Language Models in Designing Models by Retrieving Benchmark Knowledge.” Accepted by ICLR 2025. Link

• Zhifeng Jia, Hanmo Liu, Haoyang Li, Lei Chen. “SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding.” Accepted by ICDE 2025.

• Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou. “Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models.” Preprint. Link

• Hanmo LIU, Shimin DI, Haoyang LI, Shuangyin LI, Lei CHEN, Xiaofang ZHOU. “Effective Data Selection and Replay for Unsupervised Continual Learning.” Accepted by ICDE 2024. Link

• Hanmo Liu, Shimin Di, Lei Chen. “Incremental Tabular Learning on Heterogeneous Feature Space.” Accepted by SIGMOD 2023. Link

Teaching Experience

Teaching Assistant:

• DSAA 5013: Advanced Machine Learning (Spring 2024)
• DSAA 5020: Foundation of Data Science and Analytics (Fall 2023)
• MSBD 5002: Data Mining and Knowledge Discovery (Spring 2023)

Academic Service

• Program Committee Member: WWW 2025 Short Paper
• Conference Reviewer: WWW 2025; ICLR 2025; DASFAA 2025, 2024
• Journal Reviewer: TKDE