About Me

I am Hanmo LIU, a recent Ph.D. graduate in Data Science and Analytics from the Division of Emerging Interdisciplinary Areas (EMIA) at HKUST.

My research interests lie in efficient and data-driven machine learning, such as continual learning on different data modalities and efficient auto machine learning. Specifically, my Ph.D. work focused on how to select the best set of data and models to boost machine learning effectiveness.

I was fortunate to be advised by Prof. CHEN, Lei and Prof. YANG, Can. I also hold a B.Sc. in Honors Physics and Computer Science from Department of Physics, HKUST (2021).

Email / Google Scholar

Publications

Preprints

• Beyond Model Base Selection: Weaving Knowledge to Master Fine-grained Neural Network Design. Preprint. Link
  • Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou.
• RobustFlow: Towards Robust Agentic Workflow Generation. Preprint. Link
  • Shengxiang Xu, Jiayi Zhang, Shimin Di, Yuyu Luo, Liang Yao, Hanmo Liu, Jia Zhu, Fan Liu, Min-Ling Zhang.

Conference Papers

Data-driven Machine Learning

• Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models. WSDM 2026 Oral. Link
  • Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou.
• A Selective Learning Method for Temporal Graph Continual Learning. Accpeted by ICML 2025. Link
  • Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen.
• Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models. Accepted by ICLR 2025. Link.
  • Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen.
• SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding. Accepted by ICDE 2025. Link
  • Zhifeng Jia, Hanmo Liu, Haoyang Li, Lei Chen.
• Effective Data Selection and Replay for Unsupervised Continual Learning. Accepted by ICDE 2024. Link
  • Hanmo LIU, Shimin DI, Haoyang LI, Shuangyin LI, Lei CHEN, Xiaofang ZHOU.
• Incremental Tabular Learning on Heterogeneous Feature Space. Accepted by SIGMOD 2023. Link
  • Hanmo Liu, Shimin Di, Lei Chen.

Temporal Graph Learning

• When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction. Accepted by VLDB 2025 Link
  • Haoyang Li, Yuming Xu, Yiming Li, Hanmo Liu, Darian Li, Chen Jason Zhang, Lei Chen, Qing Li.

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 2026 Demo, WWW 2025 Short Paper
• Conference Reviewer: ICLR 2026/2025; MM 2025; WWW 2025; DASFAA 2025, 2024
• Journal Reviewer: TKDE, TCSS