Publications

Selected Publications

    (* indicates corresponding author. Full list: DBLP, Google Scholar)

2024

Federated learning for generalization, robustness, fairness: A survey and benchmark
Wenke Huang, Mang Ye*, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024

Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
Wuxuan Shi, Mang Ye*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2024.

Empowering Visible-Infrared Person Re-Identification with Foundation Models
Zhangyi Hu#, Bin Yang#, Mang Ye*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2024.

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
Wenke Huang, Mang Ye*, Zekun Shi, Guancheng Wan, He Li*, Bo Du
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2024.

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
Zihan Tan#, Guancheng Wan#, Wenke Huang#, Mang Ye*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2024.

All in One Framework for Multimodal Re-identification in the Wild
He Li, Mang Ye*, Ming Zhang, Bo Du
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

FedAS: Bridging Inconsistency in Personalized Federated Learning
Xiyuan Yang, Wenke Huang, Mang Ye*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
Bin Yang, Jun Chen, Mang Ye*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen#, Wenke Huang#, Mang Ye*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Contextual Augmented Global Contrast for Multimodal Intent Recognition
Kaili Sun, Zhiwen Xie, Mang Ye*, Huyin Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
Wenke Huang#, Zekun Shi#, Mang Ye*, He Li, Bo Du
International Conference on Machine Learning (ICML), 2024.

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V Chawla, Mang Ye*
International Conference on Machine Learning (ICML), 2024.

Synergy of Sight and Semantics: Visual Intention Understanding with CLIP
Qu Yang, Mang Ye*, Dacheng Tao
European Conference on Computer Vision (ECCV), 2024.

Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
Chenyue Li#, Shuoyi Chen#, Mang Ye*
European Conference on Computer Vision (ECCV), 2024.

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning
Wenke Huang, Mang Ye*, Zekun Shi, Bo Du, Dacheng Tao
European Conference on Computer Vision (ECCV), 2024.

TexFit: Text-Driven Fashion Image Editing with Diffusion Models
Tongxin Wang, Mang Ye*
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

Federated Graph Learning under Domain Shift with Generalizable Prototypes
Guancheng Wan, Wenke Huang, Mang Ye*
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

Negative Pre-aware for Noisy Cross-modal Matching
Xu Zhang, Hao Li, Mang Ye*
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

An Empirical Study of CLIP for Text-based Person Search
Min Cao, Yang Bai, Ziyin Zeng, Mang Ye*, Min Zhang
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.

Cloth-Aware Augmentation for Cloth-Generalized Person Re-Identification
Fangyi Liu, Mang Ye*, Bo Du
ACM International Conference on Multimedia (ACM MM), 2024.

Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling
Wei Shen, Mang Ye*, Wenke Huang
ACM International Conference on Multimedia (ACM MM), 2024.

SecureReID: Privacy-Preserving Anonymization for Person Re-Identification
Mang Ye*, Wei Shen, Junwu Zhang, Yao Yang, Bo Du
IEEE Transactions on Information Forensics and Security (TIFS), 2024

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
Qu Yang, Mang Ye*, Bo Du
arXiv.

Transformer for Object Re-Identification: A Survey
Mang Ye*, Shuoyi Chen, Chenyue Li, Wei-Shi Zheng, David Crandall, Bo Du
arXiv.

Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye*, Wei Shen, Bo Du, Eduard Snezhko, Vassili Kovalev, Pong C. Yuen
arXiv.

2023

Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye*, Xiuwen Fang, Bo Du, Pong C Yuen, Dachen Tao
ACM Computing Surveys, 2023.

SketchTrans: Disentangled Prototype Learning with Transformer for Sketch-Photo Recognition
Cuiqun Chen, Mang Ye*, Meibin Qi, Bo Du
IEEE Transactions on Pattern Analysis & Machine Intelligence, 2023.

Channel Augmentation for Visible-Infrared Re-Identification
Mang Ye*, Zesen Wu, Cuiqun Chen, Bo Du
IEEE Transactions on Pattern Analysis & Machine Intelligence, 2023.

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang, Mang Ye*, Zekun Shi, Bo Du
IEEE Transactions on Pattern Analysis & Machine Intelligence, 2023.

Dynamic Personalized Federated Learning with Adaptive Differential Privacy
Xiyuan Yang#, Wenke Huang#, Mang Ye*
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification
Bin Yang, Jun Chen*, Mang Ye*
International Conference on Computer Vision (ICCV), 2023.

Robust Heterogeneous Federated Learning under Data Corruption
Xiuwen Fang, Mang Ye*, Xiyuan Yang
International Conference on Computer Vision (ICCV), 2023.

Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning
Wuxuan Shi, Mang Ye*
International Conference on Computer Vision (ICCV), 2023.

Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
Ding Jiang, Mang Ye*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Rethinking Federated Learning With Domain Shift: A Prototype View
Wenke Huang, Mang Ye*, Zekun Shi, He Li, Bo Du
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Towards Modality-Agnostic Person Re-identification with Descriptive Query
Cuiqun Chen, Mang Ye*, Ding Jiang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
Zesen Wu, Mang Ye*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Federated Graph Semantic and Structural Learning
Wenke Huang#, Guancheng Wan#, Mang Ye*, Bo Du
International Joint Conference on Artificial Intelligence (IJCAI), 2023.

Cross-Modality Pyramid Alignment for Visual Intention Understanding
Mang Ye*, Qinghongya Shi, Kehua Su, Bo Du
IEEE Transactions on Image Processing (TIP), 2023.

Learnable Hierarchical Label Embedding and Grouping for Visual Intention Understanding
QingHongYa Shi, Mang Ye*, Ziyi Zhang, Bo Du
IEEE Transactions on Affective Computing (TAC), 2023.

2022

Robust Federated Learning With Noisy and Heterogeneous Clients
Xiuwen Fang, Mang Ye*
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Learn From Others and Be Yourself in Heterogeneous Federated Learning
Wenke Huang, Mang Ye*, Bo Du
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Rotation Invariant Transformer for Recognizing Object in UAVs
Shuoyi Chen, Mang Ye*, Bo Du
ACM International Conference on Multimedia (ACM MM), 2022.

Pyramidal Transformer with Conv-Patchify for Person Re-identification
He Li, Mang Ye*, Cong Wang, Bo Du
ACM International Conference on Multimedia (ACM MM), 2022.

Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-Identification
Bin Yang, Mang Ye*, Jun Chen, Zesen Wu
ACM International Conference on Multimedia (ACM MM), 2022.

Sketch Transformer: Asymmetrical Disentanglement Learning from Dynamic Synthesis
Cuiqun Chen, Mang Ye*, Meibin Qi, Bo Du
ACM International Conference on Multimedia (ACM MM), 2022.

Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution
Wuxuan Shi, Mang Ye*, Bo Du
ACM International Conference on Multimedia (ACM MM), 2022.

Few-Shot Model Agnostic Federated Learning
Wenke Huang, Mang Ye*, Bo Du, Xiang Gao
ACM International Conference on Multimedia (ACM MM), 2022.

Learnable Privacy-Preserving Anonymization for Pedestrian Images
Junwu Zhang, Mang Ye*, Yao Yang
ACM International Conference on Multimedia (ACM MM), 2022.

Complementary Data Augmentation for Cloth-Changing Person Re-Identification
Xuemei Jia, Xian Zhong, Mang Ye*, Wenxuan Liu, Wenxin Huang
IEEE Transactions on Image Processing (TIP), 2022.

Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identification
Cuiqun Chen, Mang Ye*, Meibin Qi, Jingjing Wu, Jianguo Jiang, Chia-Wen Lin
IEEE Transactions on Image Processing (TIP), 2022.

Dynamic tri-level relation mining with attentive graph for visible infrared re-identification
Mang Ye, Cuiqun Chen, Jianbing Shen, Ling Shao
IEEE Transactions on Information Forensics and Security (TIFS), 2022.
Paper Code It is an extended version of our ECCV 2020 paper.

Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation
Fei Lyu, Mang Ye, Andy J Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C Yuen
IEEE Transactions on Medical Imaging (TMI), 2022.

Graph Complemented Latent Representation for Few-shot Image Classification
Xian Zhong, Cheng Gu, Mang Ye*, Wenxin Huang, Chia-Wen Lin
IEEE Transactions on Multimedia (TMM), 2022.

Saliency and Granularity: Discovering Temporal Coherence for Video-based Person Re-Identification
Cuiqun Chen, Mang Ye*, Meibin Qi, Jingjing Wu, Yimin Liu, Jianguo Jiang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.

2021

Deep Learning for Person Re-identification: A Survey and Outlook
Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

Channel Augmented Joint Learning for Visible-Infrared Recognition
Mang Ye, Weijian Ruan, Bo Du, Mike Zheng Shou.
International Conference on Computer Vision (ICCV), 2021.

Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation
Xin Hao, Sanyuan Zhao, Mang Ye*, Jianbing Shen.
International Conference on Computer Vision (ICCV), 2021.

WePerson: Learning a Generalized Re-identification Model from All-weather Virtual Data
He Li, Mang Ye*, Bo Du.
ACM International Conference on Multimedia (ACM MM), 2021.

Imitative Learning for Multi-Person Action Forecasting
Yu-Ke Li, Pin Wang, Mang Ye, Ching-Yao Chan.
ACM International Conference on Multimedia (ACM MM), 2021.

Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data
Qingxiong Tan, Mang Ye*, Grace Lai-Hung Wong, Pong C. Yuen.
International Joint Conference on Artificial Intelligence (IJCAI), 2021.

Collaborative Refining for Person Re-Identification with Label Noise
Mang Ye, He Li, Bo Du, Jianbing Shen, Ling Shao, Steven C H Hoi.
IEEE Transactions on Image Processing (TIP), 2021.

Person Re-Identification by Context-aware Part Attention and Multi-Head Collaborative Learning
Dongming Wu, Mang Ye*, Gaojie Lin, Xin Gao, and Jianbing Shen.
IEEE Transactions on Information Forensics and Security (TIFS), 2021.

TICNet: A Target-Insight Correlation Network for Object Tracking
Weijian Ruan, Mang Ye*, Yi Wu, Jun Chen, Wu Liu, Chao Liang, Ge Li, Chia-Wen Lin.
IEEE Transactions on Cybernetics (TCYB), 2021.

2020

Augmentation Invariant and Instance Spreading Feature for Softmax Embedding
Mang Ye, Jianbing Shen, Xu Zhang, Pong C. Yuen, Shih-Fu Chang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
Paper Code It's an extended version of our CVPR 19 paper.

Probabilistic Structural Latent Representation for Unsupervised Embedding
Mang Ye, Jianbing Shen.
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo
European Conference on Computer Vision (ECCV), 2020.

PurifyNet: A Robust Person Re-identification Model with Noisy Labels
Mang Ye, Pong C. Yuen.
IEEE Transactions on Information Forensics and Security(TIFS), 2020.

Cross-Modality Person Re-Identification via Modality-aware Collaborative Ensemble Learning
Mang Ye, Xiangyuan Lan, Qingming Leng, Jianbing Shen.
IEEE Transactions on Image Processing (TIP), 2020.
Paper Code It's an extended version of our ACM MM 19 paper.

Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning
Mang Ye, Jianbing Shen, Ling Shao.
IEEE Transactions on Information Forensics and Security(TIFS), 2020.

DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series
Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen.
AAAI Conference on Artificial Intelligence(AAAI), 2020.

Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series
Qingxiong Tan, Mang Ye, Andy Jinhua Ma, Baoyao Yang, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen.
IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2020.

Cross-domain Missingness-aware Time Series Adaptation with Similarity Distillation in Medical Applications
Baoyao Yang,Mang Ye, Qingxiong Tan, Pong C. Yuen.
IEEE Transactions on Cybernetics(TCYB), 2020.

Modality-correlation-aware Sparse Representation for RGB-infrared Object Tracking
Xiangyuan Lan, Mang Ye*, Shengping Zhang, Huiyu Zhou, Pong C Yuen.
Pattern Recognition Letters (PRL), 2020. ESI highly cited paper.

2019

Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang.
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Paper Code Received more than 200 citations.

Dynamic Graph Co-Matching for Unsupervised Video-based Person Re-Identification
Mang Ye, Jiawei Li, Andy J Ma, Liang Zheng, Pong C. Yuen.
IEEE Transactions on Image Processing (TIP), 2019.  ESI highly cited paper.
Paper Code It is an extended version of our ICCV 2017 paper.

Bi-directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification
Mang Ye, Xiangyuan Lan, Zheng Wang, Pong C. Yuen.
IEEE Transactions on Information Forensics and Security (TIFS), 2019.  ESI highly cited paper.
Paper Code It is an extended version of our IJCAI 2018 paper.

A Survey of Open-World Person Re-identification
Qingming Leng*, Mang Ye*, Qi Tian.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.

Improving Night-Time Pedestrian Retrieval with Distribution Alignment and Contextual Distance
Mang Ye, Yi Cheng, Xiangyuan Lan, Hongyuan Zhu.
IEEE Transactions on Industrial Informatics (TII), 2019.  ESI highly cited paper.

Modality-aware Collaborative Learning for Visible Thermal Person Re-Identification
Mang Ye, Xiangyuan Lan, Qingming Leng.
ACM International Conference on Multimedia (MM), 2019.

Variation Generalized Feature Learning via Intra-view Variation Adaptation
Jiawei Li, Mang Ye, Andy J. Ma, Pong C. Yuen.
International Joint Conference on Artificial Intelligence (IJCAI), 2019.

Learning Modality-consistency Feature Templates: A Robust RGB-infrared Tracking System
Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Pong C Yuen, Huiyu Zhou.
IEEE Transactions on Industrial Electronics (TIE), 2019.  ESI highly cited paper.

2018

Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild
Mang Ye, Xiangyuan Lan, Pong C. Yuen.
European Conference on Computer Vision (ECCV), 2018.

Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking
Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C. Yuen.
International Joint Conference on Artificial Intelligence (IJCAI), 2018.

Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification
Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin'ichi Satoh.
27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.

Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
Mang Ye, Xiangyuan Lan, Jiawei Li, Pong C. Yuen.
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.

Robust Collaborative Discriminative Learning for RGB-Infrared Tracking
Xiangyuan Lan, Mang Ye, Shengping Zhang, Pong C. Yuen.
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.

2017

Dynamic Label Graph Matching for Unsupervised Video Re-Identification
Mang Ye, Andy J Ma, Liang Zheng, Jiawei Li, Pong C. Yuen.
IEEE International Conference on Computer Vision (ICCV), 2017.

2016 and before

Person Re-identification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing
Mang Ye, Chao Liang, Yi Yu , Zheng Wang, Qingming Leng, Chunxia Xiao , Jun Chen, Ruimin Hu.
IEEE Transactions on Multimedia (TMM), 2016.

Ranking Optimization for Person Re-identification via Similarity and Dissimilarity
Mang Ye, Chao Liang, Zheng Wang, Qingming Leng, Jun Chen.
ACM International Conference on Multimedia (MM), 2015.

Specific Person Retrieval via Incomplete Text Description
Mang Ye, Chao Liang, Zheng Wang, Qingming Leng, Jun Chen, Jun Liu.
International Conference on Multimedia Retrieval (ICMR), 2015.

Coupled-view Based Ranking Optimization for Person Re-identification
Mang Ye, Jun Chen, Qingming Leng, Chao Liang, Zheng Wang and Kaimin Sun.
International Conference on Multimedia Modelling (MMM), 2015. Oral.