Scalable Multi-instance Learning. - Xiu-Shen Wei; Jianxin Wu 001; Zhi-Hua Zhou (ICDM, 2014)

Deep Spatial Pyramid Ensemble for Cultural Event Recognition. - Xiu-Shen Wei; Bin-Bin Gao; Jianxin Wu 001 (ICCV Workshops, 2015)

Deep Label Distribution Learning for Apparent Age Estimation. - Xu Yang 021; Bin-Bin Gao; Chao Xing; Zeng-Wei Huo; Xiu-Shen Wei; Ying Zhou; Jianxin Wu 001; Xin Geng 001 (ICCV Workshops, 2015)

Deep Spatial Pyramid: The Devil is Once Again in the Details. - Bin-Bin Gao; Xiu-Shen Wei; Jianxin Wu 001; Weiyao Lin (CoRR, 2015)

Weakly Supervised Fine-Grained Image Categorization. - Yu Zhang 004; Xiu-Shen Wei; Jianxin Wu 001; Jianfei Cai 001; Jiangbo Lu; Viet Anh Nguyen; Minh N. Do (CoRR, 2015)

Deep Bimodal Regression for Apparent Personality Analysis. - Chen-Lin Zhang; Hao Zhang 038; Xiu-Shen Wei; Jianxin Wu 001 (ECCV Workshops (3), 2016)

Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition. - Xiu-Shen Wei; Chen-Wei Xie; Jianxin Wu 001 (CoRR, 2016)

An empirical study on image bag generators for multi-instance learning. - Xiu-Shen Wei; Zhi-Hua Zhou (Mach. Learn., 2016)

Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation. - Yu Zhang 004; Xiu-Shen Wei; Jianxin Wu 001; Jianfei Cai 001; Jiangbo Lu; Viet Anh Nguyen; Minh N. Do (IEEE Trans. Image Process., 2016)

Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. - Yu Chen 037; Chunhua Shen; Xiu-Shen Wei; Lingqiao Liu; Jian Yang 003 (ICCV, 2017)

Deep Descriptor Transforming for Image Co-Localization. - Xiu-Shen Wei; Chen-Lin Zhang; Yao Li 003; Chen-Wei Xie; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (IJCAI, 2017)

In Defense of Fully Connected Layers in Visual Representation Transfer. - Chen-Lin Zhang; Jian-Hao Luo; Xiu-Shen Wei; Jianxin Wu 001 (PCM (2), 2017)

Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. - Xiu-Shen Wei; Chen-Lin Zhang; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (CoRR, 2017)

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. - Yu Chen 037; Chunhua Shen; Xiu-Shen Wei; Lingqiao Liu; Jian Yang 003 (CoRR, 2017)

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. - Xiu-Shen Wei; Jian-Hao Luo; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Image Process., 2017)

Scalable Algorithms for Multi-Instance Learning. - Xiu-Shen Wei; Jianxin Wu 001; Zhi-Hua Zhou (IEEE Trans. Neural Networks Learn. Syst., 2017)

Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. - Xiu-Shen Wei; Chen-Lin Zhang; Lingqiao Liu; Chunhua Shen; Jianxin Wu 001 (ACCV (2), 2018)

Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. - Xiu-Shen Wei; Chen-Wei Xie; Jianxin Wu 001; Chunhua Shen (Pattern Recognit., 2018)

Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. - Xiu-Shen Wei; Chen-Lin Zhang; Hao Zhang 038; Jianxin Wu 001 (IEEE Trans. Affect. Comput., 2018)

Multi-Label Image Recognition With Graph Convolutional Networks. - Zhao-Min Chen; Xiu-Shen Wei; Peng Wang 023; Yanwen Guo 001 (CVPR, 2019)

Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding. - Zhao-Min Chen; Xiu-Shen Wei; Xin Jin 023; Yanwen Guo 001 (ICME, 2019)

RPC: A Large-Scale Retail Product Checkout Dataset. - Xiu-Shen Wei; Quan Cui; Lei Yang; Peng Wang 023; Lingqiao Liu (CoRR, 2019)

Deep Learning for Fine-Grained Image Analysis: A Survey. - Xiu-Shen Wei; Jianxin Wu 001; Quan Cui (CoRR, 2019)

Unsupervised object discovery and co-localization by deep descriptor transformation. - Xiu-Shen Wei; Chen-Lin Zhang; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (Pattern Recognit., 2019)

Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. - Xiu-Shen Wei; Peng Wang 023; Lingqiao Liu; Chunhua Shen; Jianxin Wu 001 (IEEE Trans. Image Process., 2019)

Exploring Categorical Regularization for Domain Adaptive Object Detection. - Chang-Dong Xu; Xing-Ran Zhao; Xin Jin 023; Xiu-Shen Wei (CVPR, 2020)

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. - Boyan Zhou; Quan Cui; Xiu-Shen Wei; Zhao-Min Chen (CVPR, 2020)

Hierarchical Context Embedding for Region-Based Object Detection. - Zhao-Min Chen; Xin Jin 023; Borui Zhao; Xiu-Shen Wei; Yanwen Guo 001 (ECCV (21), 2020)

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. - Quan Cui; Qing-Yuan Jiang; Xiu-Shen Wei; Wu-Jun Li; Osamu Yoshie (ECCV (3), 2020)

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. - Benyi Hu; Ren-Jie Song; Xiu-Shen Wei; Yazhou Yao; Xian-Sheng Hua 001; Yuehu Liu (ACM Multimedia, 2020)

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning. - Zeren Sun; Xian-Sheng Hua 001; Yazhou Yao; Xiu-Shen Wei; Guosheng Hu; Jian Zhang 002 (ACM Multimedia, 2020)

Piecewise Hashing: A Deep Hashing Method for Large-Scale Fine-Grained Search. - Yimu Wang; Xiu-Shen Wei; Bo Xue 004; Lijun Zhang 005 (PRCV (2), 2020)

An Adversarial Domain Adaptation Network For Cross-Domain Fine-Grained Recognition. - Yimu Wang; Ren-Jie Song; Xiu-Shen Wei; Lijun Zhang 005 (WACV, 2020)

Salvage Reusable Samples from Noisy Data for Robust Learning. - Zeren Sun; Xian-Sheng Hua 001; Yazhou Yao; Xiu-Shen Wei; Guosheng Hu; Jian Zhang 002 (CoRR, 2020)

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge. - Xiu-Shen Wei; Yu-Yan Xu; Yazhou Yao; Jia Wei; Si Xi; Wenyuan Xu; Weidong Zhang; Xiaoxin Lv; Dengpan Fu; Qing Li; Baoying Chen; Haojie Guo; et al. (CoRR, 2020)

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. - Yu Chen 037; Chunhua Shen; Hao Chen 041; Xiu-Shen Wei; Lingqiao Liu; Jian Yang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Structure-aware human pose estimation with graph convolutional networks. - Yanrui Bin; Zhao-Min Chen; Xiu-Shen Wei; Xinya Chen; Changxin Gao; Nong Sang (Pattern Recognit., 2020)

Learning Semantically Enhanced Feature for Fine-Grained Image Classification. - Wei Luo 006; Hengmin Zhang; Jun Li 027; Xiu-Shen Wei (IEEE Signal Process. Lett., 2020)

Bi-Modal Progressive Mask Attention for Fine-Grained Recognition. - Kaitao Song; Xiu-Shen Wei; Xiangbo Shu; Ren-Jie Song; Jianfeng Lu 003 (IEEE Trans. Image Process., 2020)

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. - Yongshun Zhang; Xiu-Shen Wei; Boyan Zhou; Jianxin Wu 001 (AAAI, 2021)

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification. - Peng Wang 023; Kai Han 001; Xiu-Shen Wei; Lei Zhang 054; Lei Wang 001 (CVPR, 2021)

Distilling Virtual Examples for Long-tailed Recognition. - Yin-Yin He; Jianxin Wu 001; Xiu-Shen Wei (ICCV, 2021)

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. - Zeren Sun; Yazhou Yao; Xiu-Shen Wei; Yongshun Zhang; Fumin Shen; Jianxin Wu 001; Jian Zhang 002; Heng Tao Shen (ICCV, 2021)

MULL'21: First International Workshop on Multimedia Understanding with Less Labeling. - Xiu-Shen Wei; Jufeng Yang; Han-Jia Ye; Jian Yang 003 (ACM Multimedia, 2021)

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval. - Xiu-Shen Wei; Yang Shen; Xuhao Sun; Han-Jia Ye; Jian Yang 003 (NeurIPS, 2021)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Zhenmin Tang (CoRR, 2021)

Contextualizing Multiple Tasks via Learning to Decompose. - Han-Jia Ye; Da-Wei Zhou 001; Lanqing Hong; Zhenguo Li; Xiu-Shen Wei; De-Chuan Zhan (CoRR, 2021)

Multi-Instance Learning With Emerging Novel Class. - Xiu-Shen Wei; Han-Jia Ye; Xin Mu; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2021)

Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Xiu-Shen Wei; Xin Jin 023; Yanwen Guo 001 (IEEE Trans. Multim., 2021)

Dual Attention Networks for Few-Shot Fine-Grained Recognition. - Shu-Lin Xu; Faen Zhang; Xiu-Shen Wei; Jianhua Wang (AAAI, 2022)

Relieving Long-tailed Instance Segmentation via Pairwise Class Balance. - Yin-Yin He; Peizhen Zhang; Xiu-Shen Wei; Xiangyu Zhang 005; Jian Sun 001 (CVPR, 2022)

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars. - Hao Chen 052; Xiu-Shen Wei; Faen Zhang; Yang Shen; Hui Xu; Liang Xiao 001 (ECCV (25), 2022)

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval. - Yang Shen; Xuhao Sun; Xiu-Shen Wei; Qing-Yuan Jiang; Jian Yang 003 (ECCV (14), 2022)

A Channel Mix Method for Fine-Grained Cross-Modal Retrieval. - Yang Shen; Xuhao Sun; Xiu-Shen Wei; Hanxu Hu; Zhipeng Chen (ICME, 2022)

Webly-Supervised Fine-Grained Recognition with Partial Label Learning. - Yu-Yan Xu; Yang Shen; Xiu-Shen Wei; Jian Yang 003 (IJCAI, 2022)

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. - Xiu-Shen Wei; He-Yang Xu; Faen Zhang; Yuxin Peng; Wei Zhou (NeurIPS, 2022)

RPC: a large-scale and fine-grained retail product checkout dataset. - Xiu-Shen Wei; Quan Cui; Lei Yang; Peng Wang 023; Lingqiao Liu; Jian Yang 003 (Sci. China Inf. Sci., 2022)

Prototype-based classifier learning for long-tailed visual recognition. - Xiu-Shen Wei; Shu-Lin Xu; Hao Chen 052; Liang Xiao 001; Yuxin Peng (Sci. China Inf. Sci., 2022)

Preface. - Min-Ling Zhang; Xiu-Shen Wei; Gao Huang 001 (J. Comput. Sci. Technol., 2022)

Fine-Grained Image Analysis With Deep Learning: A Survey. - Xiu-Shen Wei; Yi-Zhe Song; Oisin Mac Aodha; Jianxin Wu 001; Yuxin Peng; Jinhui Tang 001; Jian Yang 003; Serge J. Belongie (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Delving deep into spatial pooling for squeeze-and-excitation networks. - Xin Jin 023; Yanping Xie; Xiu-Shen Wei; Borui Zhao; Zhao-Min Chen; Xiaoyang Tan (Pattern Recognit., 2022)

Self-Supervised Multi-Category Counting Networks for Automatic Check-Out. - Hao Chen 052; Yangzhun Zhou; Jun Li 027; Xiu-Shen Wei; Liang Xiao 001 (IEEE Trans. Image Process., 2022)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Zhenmin Tang; Jian Zhang 002 (IEEE Trans. Multim., 2022)

A Lightweight Encoder-Decoder Path for Deep Residual Networks. - Xin Jin 023; Yanping Xie; Xiu-Shen Wei; Borui Zhao; Yongshun Zhang; Xiaoyang Tan; Yang Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Deep Learning based Solution to FungiCLEF2023. - Feiran Hu; Peng Wang 107; Yangyang Li; Chenlong Duan; Zijian Zhu; Yong Li 032; Xiu-Shen Wei (CLEF (Working Notes), 2023)

Watch out Venomous Snake Species: A Solution to SnakeCLEF2023. - Feiran Hu; Peng Wang 107; Yangyang Li; Chenlong Duan; Zijian Zhu; Fei Wang; Faen Zhang; Yong Li 032; Xiu-Shen Wei (CLEF (Working Notes), 2023)

Equiangular Basis Vectors. - Yang Shen; Xuhao Sun; Xiu-Shen Wei (CVPR, 2023)

Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning. - Jiabei He; Yang Shen; Xiu-Shen Wei; Ye Wu 001 (ACM Multimedia, 2023)

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels. - Shu-Lin Xu; Yifan Sun 003; Faen Zhang; Anqi Xu; Xiu-Shen Wei; Yi Yang 001 (NeurIPS, 2023)

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition. - Xiu-Shen Wei; Xuhao Sun; Yang Shen; Anqi Xu; Peng Wang 023; Faen Zhang (CoRR, 2023)

Prototype Learning for Automatic Check-Out. - Hao Chen 052; Xiu-Shen Wei; Liang Xiao 001 (IEEE Trans. Multim., 2023)

Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. - Zeren Sun; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Xian-Sheng Hua 001 (IEEE Trans. Multim., 2023)

CAT: a coarse-to-fine attention tree for semantic change detection. - Xiu-Shen Wei; Yu-Yan Xu; Chen-Lin Zhang; Gui-Song Xia; Yuxin Peng (Vis. Intell., 2023)

Learning Graph Convolutional Networks for Multi-Label Recognition and Applications. - Zhao-Min Chen; Xiu-Shen Wei; Peng Wang 023; Yanwen Guo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

QBox: Partial Transfer Learning With Active Querying for Object Detection. - Ying-Peng Tang; Xiu-Shen Wei; Borui Zhao; Sheng-Jun Huang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Bridge the gap between supervised and unsupervised learning for fine-grained classification. - Jiabao Wang; Yang Li 015; Xiu-Shen Wei; Hang Li 008; Zhuang Miao; Rui Zhang 038 (Inf. Sci., 2023)

Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval. - Xiu-Shen Wei; Yang Shen; Xuhao Sun; Peng Wang 023; Yuxin Peng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Say No to the Poisonous Fungi: An Effective Strategy for Reducing 0-1 Cost in FungiCLEF2024. - Bao-Feng Tan; Yang-Yang Li; Peng Wang 107; Lin Zhao; Xiu-Shen Wei (CLEF (Working Notes), 2024)

Multibranch Co-training to Mine Venomous Feature Representation: A Solution to SnakeCLEF2024. - Peng Wang 107; Yangyang Li; Bao-Feng Tan; Yi-Chao Zhou; Yong Li 032; Xiu-Shen Wei (CLEF (Working Notes), 2024)

An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing. - Feiran Hu; Chen-Lin Zhang; Jiangliang Guo; Xiu-Shen Wei; Lin Zhao; Anqi Xu; Lingyan Gao (CVPR, 2024)

Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction. - Chen-Long Duan; Yong Li 032; Xiu-Shen Wei; Lin Zhao (NeurIPS, 2024)

Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction. - Chen-Long Duan; Yong Li 032; Xiu-Shen Wei; Lin Zhao (CoRR, 2024)

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization. - Yang Shen; Xiu-Shen Wei; Yifan Sun 003; Yuxin Song; Tao Yuan; Jian Jin; Heyang Xu; Yazhou Yao; Errui Ding (CoRR, 2024)

MECOM: A Meta-Completion Network for Fine-Grained Recognition With Incomplete Multi-Modalities. - Xiu-Shen Wei; Hong-Tao Yu; Anqi Xu; Faen Zhang; Yuxin Peng (IEEE Trans. Image Process., 2024)

Contextualizing Meta-Learning via Learning to Decompose. - Han-Jia Ye; Da-Wei Zhou 001; Lanqing Hong; Zhenguo Li; Xiu-Shen Wei; De-Chuan Zhan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. - Xiu-Shen Wei; He-Yang Xu; Zhiwen Yang; Chen-Long Duan; Yuxin Peng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Task-specific Part Discovery for Fine-grained Few-shot Classification. - Yongxian Wei; Xiu-Shen Wei (Mach. Intell. Res., 2024)

Equiangular Basis Vectors: A Novel Paradigm for Classification Tasks. - Yang Shen; Xuhao Sun; Xiu-Shen Wei; Anqi Xu; Lingyan Gao (Int. J. Comput. Vis., 2025)

Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection. - Yong Li 032; Yi Ren; Xuesong Niu; Yi Ding 012; Xiu-Shen Wei; Cuntai Guan (CoRR, 2025)

Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation. - Hong-Tao Yu; Xiu-Shen Wei; Yuxin Peng; Serge J. Belongie (CoRR, 2025)

Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses. - He-Yang Xu; Hongxiang Gao; Yuwen Li; Xiu-Shen Wei; Chengyu Liu (CoRR, 2025)

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition. - Xiu-Shen Wei; Xuhao Sun; Yang Shen; Peng Wang 023 (Int. J. Comput. Vis., 2025)