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ORCIDFan Zhou 0006
Person information
- affiliation: Université Laval, Québec, Canada
Other persons with the same name
- Fan Zhou — disambiguation page
- Fan Zhou 0001
![[0000-0002-0400-9366]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0400-9366")
— Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China - Fan Zhou 0002 — University of Electronic Science and Technology of China, Chengdu, China
- Fan Zhou 0003 — University of North Carolina at Chapel Hill, Department of Biostatistics, NC, USA
- Fan Zhou 0004 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, China
- Fan Zhou 0005 — Japan Advanced Institute of Science and Technology, School of Information Science, Ishikawa, Japan
- Fan Zhou 0007 — Zhejiang University, Institute of Advanced Digital Technology and Instrumentation, Embedded System Engineering Research Center, Hangzhou, China (and 1 more)
- Fan Zhou 0008 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
- Fan Zhou 0009 — Changchun University of Technology, Department of Control Science and Engineering, Changchun, China
- Fan Zhou 0010 — Baidu Research, Bellevue, WA, USA (and 1 more)
- Fan Zhou 0011 — Shenyang Ligong University, School of Information Science and Engineering, Shenzang, China
- Fan Zhou 0012 — Ant Group
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2020 – today
- 2024
[j12]Demin Xu, Feng Jin, Fan Zhou, Jun Zhao, Wei Wang:
Active Fault Diagnosis Based on Dual-Observer for Leakage Detection and Estimation With Adaptive Auxiliary Signal Mechanism in Industrial Gas Networks. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)- [j11]Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Trans. Knowl. Data Eng. 36(11): 6385-6396 (2024) - [c7]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: 16651-16659 - [i10]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 abs/2402.07834 (2024) - 2023
- [j10]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: 33:1-33:57 (2023) - [j9]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: 34-45 (2023) - [j8]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: 244-255 (2023) - [j7]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): 1909-1921 (2023) - [j6]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): 10140-10150 (2023) - [c6]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: 11147-11155 - [c5]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: 5824-5830 - [i9]Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang:
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments. CoRR abs/2301.07845 (2023) - [i8]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 abs/2311.15161 (2023) - 2022
- [j5]Fan Zhou, Long Chen, Jun Zhao, Wei Wang:
A probabilistic multi-criteria evaluation framework for integrated energy system planning. Inf. Sci. 610: 156-170 (2022) - [j4]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: 109808 (2022) - [i7]Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton:
Gap Minimization for Knowledge Sharing and Transfer. CoRR abs/2201.11231 (2022) - [i6]William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang:
Evolving Domain Generalization. CoRR abs/2206.00047 (2022) - 2021
- [j3]Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa:
Domain generalization via optimal transport with metric similarity learning. Neurocomputing 456: 469-480 (2021) - [j2]Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa:
Discriminative active learning for domain adaptation. Knowl. Based Syst. 222: 106986 (2021) - [j1]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): 466-480 (2021) - [c4]Fan Zhou, Brahim Chaib-draa, Boyu Wang:
Multi-task Learning by Leveraging the Semantic Information. AAAI 2021: 11088-11096 - [i5]Fan Zhou, Brahim Chaib-draa, Boyu Wang:
Multi-task Learning by Leveraging the Semantic Information. CoRR abs/2103.02546 (2021) - 2020
- [c3]Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. AISTATS 2020: 1308-1318 - [c2]Bincheng Huang, Si Chen, Fan Zhou, Cheng Zhang, Feng Zhang:
Episodic Training for Domain Generalization Using Latent Domains. ICCSIP 2020: 85-93 - [i4]Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa:
Discriminative Active Learning for Domain Adaptation. CoRR abs/2005.11653 (2020) - [i3]Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa:
Domain Generalization with Optimal Transport and Metric Learning. CoRR abs/2007.10573 (2020) - [i2]Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang:
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence. CoRR abs/2007.15567 (2020)
2010 – 2019
- 2019
- [c1]Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang:
A Spark-Based Approach for High-Efficiency Embedded Feature Selection. DASC/PiCom/DataCom/CyberSciTech 2019: 36-43 - [i1]Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang:
Deep Active Learning: Unified and Principled Method for Query and Training. CoRR abs/1911.09162 (2019)
Coauthor Index
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