Fan Zhou

42 papers A* 3A 1C 5Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active Fault Diagnosis for LPV Systems With Unknown Disturbances: A Two-Step-Based Set-Membership Observer Approach.
IEEE Trans Autom. Sci. Eng.
Demin Xu, Fan Zhou, Jun Zhao, Wei Wang
2025 J jnl
A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics.
IEEE CAA J. Autom. Sinica
Tianyu Wang, Fan Zhou, Yangjie Wu, Jun Zhao, Wei Wang
2025 J jnl
A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems.
CoRR
Qianlong Duan, Bide Hao, Fan Zhou, Fei Chen, Shichun Yang
2025 J jnl
Enhancing road surface recognition via optimal transport and metric learning in task-agnostic intelligent driving environments.
Expert Syst. Appl.
Yuyi Chen, Shichun Yang, Rui Wang, Zhuoyang Li, Qiuyue Li, Zexiang Tong, Yaoguang Cao, Fan Zhou
2025 J jnl
FedELR: When federated learning meets learning with noisy labels.
Neural Networks
Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, Fan Zhou, Charles X. Ling, Boyu Wang
2025 J jnl
The Global Consensus Active Fault Diagnosis for Steam Pipeline Considering Leakage Fault Modeling: A Multitime-Scale-Based Set-Membership Observer Approach.
IEEE Trans. Cybern.
Demin Xu, Wange Li, Fan Zhou, Jun Zhao, Wei Wang
2024 C conf
A Review of Internet of Vehicle Technology in Intelligent Connected Vehicle.
INDIN
Fei Chen, Bide Hao, Shichun Yang, Wenlong Chen, Qianlong Duan, Fan Zhou
2024 J jnl
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.
Demin Xu, Feng Jin, Fan Zhou, Jun Zhao, Wei Wang
2024 C conf
Design of a Communication Framework for Heterogeneous Multicore Systems in CAN Communication.
INDIN
Qianlong Duan, Shichun Yang, Bide Hao, Wenlong Chen, Shizhuang Li, Fan Zhou
2024 C conf
Domain Adaptation for Semantic Segmentation of Autonomous Driving with Contrastive Learning.
INDIN
Qiuyue Li, Shichun Yang, Mohan Xu, Bingtao Ren, Xiaoyu Yan, Fan Zhou
2024 A* conf
Generalizing across Temporal Domains with Koopman Operators.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
2024 J jnl
Generalizing across Temporal Domains with Koopman Operators.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
2024 J jnl
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.
IEEE Trans. Knowl. Data Eng.
Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2024 C conf
Real-Time Vehicle Operating System Analysis, Construction and Testing.
INDIN
Shichun Yang, Shizhuang Li, Bide Hao, Qianlong Duan, Wenlong Chen, Fan Zhou
2024 C conf
Task Scheduling Algorithms for Energy Optimization Under Scheduling Duration and Reliability Constraints.
INDIN
Shizhuang Li, Bide Hao, Shichun Yang, Qianlong Duan, Wenlong Chen, Fan Zhou
2023 — conf
An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning.
ITSC
Jiayi Lu, Yaoguang Cao, Runwu Shi, Boao Zhang, Yuyi Chen, Bin Sun, Zhaowen Pang, Fan Zhou, Shichun Yang
2023 — conf
Domain Adaptive Road Perception Network of Autonomous Vehicles.
ITSC
Rui Wang, Shichun Yang, Yuyi Chen, Runwu Shi, Zhuoyang Li, Jiayi Lu, Xinjie Feng, Fan Zhou, Xiaoyu Yan, Yaoguang Cao
2023 J jnl
Episodic task agnostic contrastive training for multi-task learning.
Neural Networks
Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang
2023 J jnl
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang
2023 A* conf
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang
2023 J jnl
Gap Minimization for Knowledge Sharing and Transfer.
J. Mach. Learn. Res.
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
2023 J jnl
Hessian Aware Low-Rank Weight Perturbation for Continual Learning.
CoRR
Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2023 — conf
MEC-Enabled Lane Change Prediction with Spatiotemporal Attention Mechanism for ITS.
ITSC
Yuyi Chen, Shichun Yang, Zhiteng Wang, Zhaobo Nan, Rui Wang, Fan Zhou, Xiaoyu Yan, Yaoguang Cao
2023 J jnl
On the Benefits of Two Dimensional Metric Learning.
IEEE Trans. Knowl. Data Eng.
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan
2023 J jnl
On the value of label and semantic information in domain generalization.
Neural Networks
Fan Zhou, Yuyi Chen, Shichun Yang, Boyu Wang, Brahim Chaib-draa
2023 J jnl
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
2022 J jnl
A novel domain adaptation theory with Jensen-Shannon divergence.
Knowl. Based Syst.
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
2022 J jnl
A probabilistic multi-criteria evaluation framework for integrated energy system planning.
Inf. Sci.
Fan Zhou, Long Chen, Jun Zhao, Wei Wang
2022 J jnl
Evolving Domain Generalization.
CoRR
William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
2022 J jnl
Gap Minimization for Knowledge Sharing and Transfer.
CoRR
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Christian Gagné, Eric Eaton
2021 J jnl
Discriminative active learning for domain adaptation.
Knowl. Based Syst.
Fan Zhou, Changjian Shui, Shichun Yang, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
2021 J jnl
Domain generalization via optimal transport with metric similarity learning.
Neurocomputing
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
2021 A* conf
Multi-task Learning by Leveraging the Semantic Information.
AAAI
Fan Zhou, Brahim Chaib-draa, Boyu Wang
2021 J jnl
Multi-task Learning by Leveraging the Semantic Information.
CoRR
Fan Zhou, Brahim Chaib-draa, Boyu Wang
2021 J jnl
Task Similarity Estimation Through Adversarial Multitask Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
2020 J jnl
Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
CoRR
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang
2020 A conf
Deep Active Learning: Unified and Principled Method for Query and Training.
AISTATS
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
2020 J jnl
Discriminative Active Learning for Domain Adaptation.
CoRR
Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa
2020 J jnl
Domain Generalization with Optimal Transport and Metric Learning.
CoRR
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
2020 — conf
Episodic Training for Domain Generalization Using Latent Domains.
ICCSIP
Bincheng Huang, Si Chen, Fan Zhou, Cheng Zhang, Feng Zhang
2019 — conf
A Spark-Based Approach for High-Efficiency Embedded Feature Selection.
DASC/PiCom/DataCom/CyberSciTech
Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang
2019 J jnl
Deep Active Learning: Unified and Principled Method for Query and Training.
CoRR
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang