Fan Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Mahalanobis Metric

Totally Ordered

Metric Learning

Domain Adaptation

Top Venues

Neural Networks

Knowl. Based Syst.

Publications

Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
Generalizing across Temporal Domains with Koopman Operators. CoRR (2024)
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
Generalizing across Temporal Domains with Koopman Operators. AAAI (2024)
Jiayi Lu, Yaoguang Cao, Runwu Shi, Boao Zhang, Yuyi Chen, Bin Sun, Zhaowen Pang, Fan Zhou, Shichun Yang
An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning. ITSC (2023)
Fan Zhou, Yuyi Chen, Shichun Yang, Boyu Wang, Brahim Chaib-draa
On the value of label and semantic information in domain generalization. Neural Networks 163 (2023)
Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
Towards More General Loss and Setting in Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan
On the Benefits of Two Dimensional Metric Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment. AAAI (2023)
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
Gap Minimization for Knowledge Sharing and Transfer. J. Mach. Learn. Res. 24 (2023)
Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang
Episodic task agnostic contrastive training for multi-task learning. Neural Networks 162 (2023)
Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
Hessian Aware Low-Rank Weight Perturbation for Continual Learning. CoRR (2023)
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
Gap Minimization for Knowledge Sharing and Transfer. CoRR (2022)
William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
Evolving Domain Generalization. CoRR (2022)
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
A novel domain adaptation theory with Jensen-Shannon divergence. Knowl. Based Syst. 257 (2022)
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
Domain generalization via optimal transport with metric similarity learning. Neurocomputing 456 (2021)
Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
Discriminative active learning for domain adaptation. Knowl. Based Syst. 222 (2021)
Fan Zhou, Brahim Chaib-draa, Boyu Wang
Multi-task Learning by Leveraging the Semantic Information. CoRR (2021)
Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
Task Similarity Estimation Through Adversarial Multitask Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Fan Zhou, Brahim Chaib-draa, Boyu Wang
Multi-task Learning by Leveraging the Semantic Information. AAAI (2021)
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
Domain Generalization with Optimal Transport and Metric Learning. CoRR (2020)
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
Deep Active Learning: Unified and Principled Method for Query and Training. AISTATS (2020)
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. CoRR (2020)
Bincheng Huang, Si Chen, Fan Zhou, Cheng Zhang, Feng Zhang
Episodic Training for Domain Generalization Using Latent Domains. ICCSIP (2020)
Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
Discriminative Active Learning for Domain Adaptation. CoRR (2020)
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
Deep Active Learning: Unified and Principled Method for Query and Training. CoRR (2019)