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2020 – today
- 2024
[c3]Changlu Chen, Yanbin Liu
, Ling Chen, Chengqi Zhang:
Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. ECML/PKDD (2) 2024: 72-88- [c2]Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang:
Test-Time Training for Spatial-Temporal Forecasting. SDM 2024: 463-471 - [i2]Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang:
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. CoRR abs/2410.14886 (2024) - 2023
- [j3]Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang:
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6913-6925 (2023) - [c1]Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang:
RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. PAKDD (4) 2023: 263-275
2010 – 2019
- 2019
- [j2]Changlu Chen, Chaoxi Niu, Xia Zhan, Kun Zhan:
Generative approach to unsupervised deep local learning. J. Electronic Imaging 28(4): 043005 (2019) - [j1]Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang:
Graph Structure Fusion for Multiview Clustering. IEEE Trans. Knowl. Data Eng. 31(10): 1984-1993 (2019) - [i1]Changlu Chen, Chaoxi Niu, Xia Zhan, Kun Zhan:
Generative approach to unsupervised deep local learning. CoRR abs/1906.07947 (2019)
Coauthor Index
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