Generative approach to unsupervised deep local learning. - Changlu Chen; Chaoxi Niu; Xia Zhan; Kun Zhan (J. Electronic Imaging, 2019)

Graph Structure Fusion for Multiview Clustering. - Kun Zhan; Chaoxi Niu; Changlu Chen; Feiping Nie 001; Changqing Zhang; Yi Yang 001 (IEEE Trans. Knowl. Data Eng., 2019)

RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (PAKDD (4), 2023)

Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (ECML/PKDD (2), 2024)

Test-Time Training for Spatial-Temporal Forecasting. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (SDM, 2024)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. - Chaoxi Niu; Hezhe Qiao; Changlu Chen; Ling Chen 006; Guansong Pang (CoRR, 2024)

Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting. - Changlu Chen; Yanbin Liu; Chaoxi Niu; Ling Chen; Tianqing Zhu (CoRR, 2025)