Hanmo Liu

According to our database, Hanmo Liu authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation.

Peiyan Zhang, Hanmo Liu, Chengxuan Tong, Yuxia Wu, Wei Guo, Yong Liu

CoRR, April, 2026

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

CoRR, February, 2026

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

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

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

CoRR, September, 2025

Beyond Model Base Selection: Weaving Knowledge to Master Fine-grained Neural Network Design.

Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou

CoRR, July, 2025

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

Proc. VLDB Endow., June, 2025

Real-time Two-tape Control System in Vine robots.

Hanmo Liu, Kayleen Smith, Zimu Yang, Mark Yim

CoRR, May, 2025

A Selective Learning Method for Temporal Graph Continual Learning.

Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding.

Zhifeng Jia, Hanmo Liu, Haoyang Li, Lei Chen

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models.

Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou

CoRR, 2024

Effective Data Selection and Replay for Unsupervised Continual Learning.

Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Incremental Tabular Learning on Heterogeneous Feature Space.

Hanmo Liu, Shimin Di, Lei Chen

Proc. ACM Manag. Data, 2023