Redundancy-Free Message Passing for Graph Neural Networks. - Rongqin Chen 001; Shenghui Zhang; Leong Hou U; Ye Li 002 (NeurIPS, 2022)

SVMPT: A Hybrid Approach to Sparse and Irregular Clinical Data Learning with Selective Variable-wise Message Passing and Transformer. - Rongqin Chen 001; Dan Wu 002; Leong Hou U; Ye Li 002 (BCB, 2024)

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification. - Zijie Zhou; Zhaoqi Lu; Xuekai Wei; Rongqin Chen 001; Shenghui Zhang; Pak Lon Ip; Leong Hou U (AAAI, 2025)

Predicting mortality risk in the intensive care unit using a Hierarchical Inception Network for heterogeneous time series. - Yujie Hang; Longfei Liu; Rongqin Chen 001; Xiaopeng Fan; Feng Sha; Dan Wu 002; Ye Li 002 (Biomed. Signal Process. Control., 2025)