About Me

Huawei Singapore · Previously HKUST

I am Hanmo LIU, a researcher in the Search and Recommendation Lab, Huawei Singapore Research Center. I earned my Ph.D. in Data Science and Analytics from the Division of Emerging Interdisciplinary Areas (EMIA) at HKUST in 2026, fortunate to be advised by Prof. CHEN, Lei and Prof. YANG, Can. Previously, I obtained a B.Sc. in Honors Physics and Computer Science from the Department of Physics, HKUST, in 2021.

Research Interests

My research centers on two complementary angles:

• Model Evolution — studying how to make models evolve more efficiently and effectively, spanning continual learning on streaming real-world data and self-driven model redesign empowered by large language models.
• Empirical Science of Large Models — treating large-model research as an empirical science: starting from phenomena observed on real data, forming and verifying hypotheses, and distilling generalizable principles that guide future research.

Email · Google Scholar · ORCID · GitHub

Publications · Teaching · Service · Awards

Publications

* marks corresponding author.

Preprints

• ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation
  Peiyan Zhang, Hanmo Liu, Chengxuan Tong, Yuxia Wu, Wei Guo, Yong Liu
  Preprint · Paper

• FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
  Zeyu Ren, Ling Yue, Ran Li, Yishu Wang, Hanmo Liu, Shaowu Pan, Shimin Di
  Preprint · Paper

• Learning to Compose for Cross-domain Agentic Workflow Generation
  Jialiang Wang, Shengxiang Xu, Hanmo Liu, Jiachuan Wang, Yuyu Luo, Shimin Di, Min-Ling Zhang, Lei Chen
  Preprint · Paper

• RobustFlow: Towards Robust Agentic Workflow Generation
  Shengxiang Xu, Jiayi Zhang, Shimin Di, Yuyu Luo, Liang Yao, Hanmo Liu, Jia Zhu, Fan Liu, Min-Ling Zhang
  Preprint · Paper

Conference Papers

• Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
  Jialiang Wang, Hanmo Liu^*, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
  ICML 2026 · Paper

• Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
  Lifang Zheng, Hanmo Liu, Kani Chen
  ICLR 2026 · Paper

• Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
  Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
  WSDM 2026 · Oral · Paper

• A Selective Learning Method for Temporal Graph Continual Learning
  Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen
  ICML 2025 · Paper

• Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
  Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen
  ICLR 2025 · Paper

• SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding
  Zhifeng Jia, Hanmo Liu, Haoyang Li, Lei Chen
  ICDE 2025 · Paper

• 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
  VLDB 2025 · Paper

• Effective Data Selection and Replay for Unsupervised Continual Learning
  Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou
  ICDE 2024 · Paper

• Incremental Tabular Learning on Heterogeneous Feature Space
  Hanmo Liu, Shimin Di, Lei Chen
  SIGMOD 2023 · Paper

Teaching

Teaching Assistant at HKUST:

• 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 — KDD 2026; ICML 2026; ICLR 2026/2025; MM 2025; WWW 2025; DASFAA 2025/2024
• Journal Reviewer — TKDE, TCSS

Awards & Honors

• DSA Excellence Award (Research) — DSA Thrust, HKUST(GZ), 2025
• Second Prize, Outstanding Paper — Guangdong Computing Association, 2023 / 2024
• HKUST Postgraduate Scholarship — HKUST, 2021–2025
• Paul Ching Wu Chu Scholarship for Outstanding Academic Performance — Department of Physics, HKUST, 2020