Incremental Tabular Learning on Heterogeneous Feature Space. - Hanmo Liu; Shimin Di; Lei Chen 002 (Proc. ACM Manag. Data, 2023)

Effective Data Selection and Replay for Unsupervised Continual Learning. - Hanmo Liu; Shimin Di; Haoyang Li 002; Shuangyin Li; Lei Chen 002; Xiaofang Zhou 001 (ICDE, 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 002; Xiaofang Zhou 001 (CoRR, 2024)

SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding. - Zhifeng Jia; Hanmo Liu; Haoyang Li; Lei Chen (ICDE, 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 001; Lei Chen 002 (ICLR, 2025)

A Selective Learning Method for Temporal Graph Continual Learning. - Hanmo Liu; Shimin Di; Haoyang Li 002; Xun Jian 001; Yue Wang 012; Lei Chen 002 (CoRR, 2025)

Real-time Two-tape Control System in Vine robots. - Hanmo Liu; Kayleen Smith; Zimu Yang; Mark Yim (CoRR, 2025)

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction. - Haoyang Li 002; Yuming Xu; Yiming Li; Hanmo Liu; Darian Li; Chen Jason Zhang; Lei Chen 002; Qing Li 001 (CoRR, 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 002; Xiaofang Zhou 001 (CoRR, 2025)