Chaoxi Niu - RankMe

21 papers A* 3A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. KDD (2) Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
2025	J	`jnl`	AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. CoRR Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
2025	A*	`conf`	Hierarchical Consensus Network for Multiview Feature Learning. AAAI Chengwei Xia, Chaoxi Niu, Kun Zhan
2025	J	`jnl`	Hierarchical Consensus Network for Multiview Feature Learning. CoRR Chengwei Xia, Chaoxi Niu, 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	J	`jnl`	WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting. CoRR Yubo Wang, Hui He, Chaoxi Niu, Zhendong Niu
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	J	`jnl`	Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Chaoxi Niu, Guansong Pang, Ling Chen
2024	A	`conf`	Graph Continual Learning with Debiased Lossless Memory Replay. ECAI Chaoxi Niu, Guansong Pang, Ling Chen
2024	J	`jnl`	Graph Continual Learning with Debiased Lossless Memory Replay. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2024	A*	`conf`	Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. NeurIPS Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
2024	J	`jnl`	Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. CoRR Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
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`	Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2023	—	`conf`	Graph-Level Anomaly Detection via Hierarchical Memory Networks. ECML/PKDD (1) Chaoxi Niu, Guansong Pang, Ling Chen
2023	J	`jnl`	Graph-level Anomaly Detection via Hierarchical Memory Networks. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2021	J	`jnl`	Mutual teaching for graph convolutional networks. Future Gener. Comput. Syst. Kun Zhan, Chaoxi Niu
2020	J	`jnl`	Mutual Teaching for Graph Convolutional Networks. CoRR Kun Zhan, Chaoxi Niu
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