Changlu Chen

12 papers A* 1A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CloudMatch: Weak-to-Strong Consistency Learning for Semi-Supervised Cloud Detection.
CoRR
Jiayi Zhao, Changlu Chen, Jingsheng Li, Tianxiang Xue, Kun Zhan
2025 J jnl
CD-Mamba: Cloud detection with long-range spatial dependency modeling.
CoRR
Tianxiang Xue, Jiayi Zhao, Jingsheng Li, Changlu Chen, Kun Zhan
2025 J jnl
Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting.
CoRR
Changlu Chen, Yanbin Liu, Chaoxi Niu, Ling Chen, Tianqing Zhu
2025 A* conf
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts.
IJCAI
Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
2024 — conf
Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization.
ECML/PKDD (2)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024 A conf
Test-Time Training for Spatial-Temporal Forecasting.
SDM
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2024 J jnl
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts.
CoRR
Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
2023 J jnl
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting.
IEEE Trans. Neural Networks Learn. Syst.
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2023 — conf
RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks.
PAKDD (4)
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
2019 J jnl
Generative approach to unsupervised deep local learning.
CoRR
Changlu Chen, Chaoxi Niu, Xia Zhan, Kun Zhan
2019 J jnl
Generative approach to unsupervised deep local learning.
J. Electronic Imaging
Changlu Chen, Chaoxi Niu, Xia Zhan, Kun Zhan
2019 J jnl
Graph Structure Fusion for Multiview Clustering.
IEEE Trans. Knowl. Data Eng.
Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang