Behavior characteristics of mixed traffic flow on campus. - Mianfang Liu; Shengwu Xiong 001; Xiaohan Yu 001; Pengfeng Duan; Jun Wang 121 (CIVTS, 2014)

Leaf image retrieval using combined feature of vein and contour. - Xiaohan Yu 001; Shengwu Xiong 001; Yongsheng Gao 001 (IVCNZ, 2015)

An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China. - Zhong Chen 003; Shengwu Xiong 001; Qingzhou Mao; Zhixiang Fang; Xiaohan Yu 001 (Adv. Multim., 2015)

PopGeV: a web-based large-scale population genome browser. - Xinyi Shi; Jing Peng; Xiaohan Yu 001; Xiaohong Zhang; Dongye Li; Baohui Liu; Fanjiang Kong; Xiaohui Yuan (Bioinform., 2015)

Multiscale Crossing Representation Using Combined Feature of Contour and Venation for Leaf Image Identification. - Xiaohan Yu 001; Shengwu Xiong 001; Yongsheng Gao 001; Yang Zhao 019; Xiaohui Yuan (DICTA, 2016)

Research on campus traffic congestion detection using BP neural network and Markov model. - Xiaohan Yu 001; Shengwu Xiong 001; Ying He; W. Eric Wong; Yang Zhao 019 (J. Inf. Secur. Appl., 2016)

Bar charts detection and analysis in biomedical literature of PubMed Central. - Ying He; Xiaohan Yu 001; Yangjing Gan; Tujin Zhu; Shengwu Xiong 001; Jing Peng; Lun Hu; Guang Xu; Xiaohui Yuan (AMIA, 2017)

Contour Covariance: A Fast Descriptor for Classification. - Xiaohan Yu 001; Shengwu Xiong 001; Yongsheng Gao 001; Xiaohui Yuan (ICIP, 2019)

Multiscale Contour Steered Region Integral and Its Application for Cultivar Classification. - Xiaohan Yu 001; Yongsheng Gao 001; Shengwu Xiong 001; Xiaohui Yuan (IEEE Access, 2019)

Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction. - Yangjing Gan; Yi Rong; Fei Huang; Lun Hu; Xiaohan Yu 001; Pengfei Duan; Shengwu Xiong 001; Haiping Liu; Jing Peng; Xiaohui Yuan (Comput. Biol. Chem., 2019)

From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images. - Bin Wang 041; Yongsheng Gao 001; Xiaohan Yu 001; Xiaohui Yuan; Shengwu Xiong 001; Xianzhong Feng (CoRR, 2019)

Patchy Image Structure Classification Using Multi-Orientation Region Transform. - Xiaohan Yu 001; Yang Zhao 019; Yongsheng Gao 001; Shengwu Xiong 001; Xiaohui Yuan (AAAI, 2020)

Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. - Jun Wang 121; Xiaohan Yu 001; Yongsheng Gao 001 (BMVC, 2021)

Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (DICTA, 2021)

A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. - Yajie Sun; Miaohua Zhang; Xiaohan Yu 001; Yi Liao; Yongsheng Gao 001 (DICTA, 2021)

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. - Jun Wang 121; Yang Zhao 019; Linglong Qian; Xiaohan Yu 001; Yongsheng Gao 001 (DICTA, 2021)

Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance. - Xiaohan Yu 001; Yang Zhao 019; Yongsheng Gao 001; Xiaohui Yuan; Shengwu Xiong 001 (ICCV, 2021)

Mask Guided Attention For Fine-Grained Patchy Image Classification. - Jun Wang 121; Xiaohan Yu 001; Yongsheng Gao 001 (ICIP, 2021)

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. - Jun Wang 121; Xiaohan Yu 001; Yongsheng Gao 001 (CoRR, 2021)

PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining. - Jun Wang 121; Hefeng Zhou; Xiaohan Yu 001 (CoRR, 2021)

MaskCOV: A random mask covariance network for ultra-fine-grained visual categorization. - Xiaohan Yu 001; Yang Zhao 019; Yongsheng Gao 001; Shengwu Xiong 001 (Pattern Recognit., 2021)

Learning deep part-aware embedding for person retrieval. - Yang Zhao 019; Chunhua Shen; Xiaohan Yu 001; Hao Chen 041; Yongsheng Gao 001; Shengwu Xiong 001 (Pattern Recognit., 2021)

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. - Yang Liu 357; Lei Zhou 008; Pengcheng Zhang 003; Xiao Bai 001; Lin Gu 003; Xiaohan Yu 001; Jun Zhou 001; Edwin R. Hancock (ECCV (24), 2022)

PGTRNET: Two-Phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement. - Jun Wang 121; Hefeng Zhou; Xiaohan Yu 001 (ICASSP, 2022)

ASRSNet: Automatic Salient Region Selection Network for Few-Shot Fine-Grained Image Classification. - Yi Liao; Weichuan Zhang; Yongsheng Gao 001; Changming Sun; Xiaohan Yu 001 (ICPRAI (1), 2022)

SPARE: Self-supervised part erasing for ultra-fine-grained visual categorization. - Xiaohan Yu 001; Yang Zhao 019; Yongsheng Gao 001 (Pattern Recognit., 2022)

Learning discriminative region representation for person retrieval. - Yang Zhao 019; Xiaohan Yu 001; Yongsheng Gao 001; Chunhua Shen (Pattern Recognit., 2022)

What EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks. - Ugochukwu Ejike Akpudo; Xiaohan Yu 001; Jun Zhou 001; Yongsheng Gao 001 (DICTA, 2023)

SupCon-ViT: Supervised contrastive learning for ultra-fine-grained visual categorization. - Xiaowei Lu; Xiaohan Yu 001; Kanqi Wang; Ying Wang; Peiyu Wang; Gang Liu; Yang Zhao 019; Yunhui Xiang; Yongsheng Gao 001; Xiaoyu Wu (DICTA, 2023)

A Novel Quality Control System of Sugarcane Billet Using Machine Vision. - Li Wei; Barton Wixted; Caitlin Day; Xiaohan Yu 001; Andrew Busch (DICTA, 2023)

Diving into Continual Ultra-fine-grained Visual Categorization. - Pengcheng Zhang 003; Xiaohan Yu 001; Xiao Bai 001; Jin Zheng; Xiaoyu Wu; Yongsheng Gao 001 (DICTA, 2023)

CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. - Xiaohan Yu 001; Jun Wang 121; Yongsheng Gao 001 (IJCAI, 2023)

NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability. - Ugochukwu Ejike Akpudo; Xiaohan Yu 001; Jun Zhou 001; Yongsheng Gao 001 (IVCNZ, 2023)

SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (WACV, 2023)

A Lie algebra representation for efficient 2D shape classification. - Xiaohan Yu 001; Yongsheng Gao 001; Mohammed Bennamoun; Shengwu Xiong 001 (Pattern Recognit., 2023)

Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization. - Xiaohan Yu 001; Jun Wang 121; Yang Zhao 019; Yongsheng Gao 001 (Pattern Recognit., 2023)

Gait-Assisted Video Person Retrieval. - Yang Zhao 019; Xinlong Wang; Xiaohan Yu 001; Chunlei Liu 001; Yongsheng Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Scale-aware stereo direct visual odometry with online photometric calibration for agricultural environment. - Tao Yu; Xiaohan Yu 001; WenLi Liu; Shengwu Xiong 001 (Adv. Robotics, 2023)

Field detection of small pests through stochastic gradient descent with genetic algorithm. - Yin Ye; Qiangqiang Huang; Yi Rong; Xiaohan Yu 001; Weiji Liang; Yaxiong Chen; Shengwu Xiong 001 (Comput. Electron. Agric., 2023)

Learning consistent region features for lifelong person re-identification. - Jinze Huang; Xiaohan Yu 001; Dong An 001; Yaoguang Wei; Xiao Bai 001; Jin Zheng; Chen Wang 026; Jun Zhou 001 (Pattern Recognit., 2023)

Attribute subspaces for zero-shot learning. - Lei Zhou 008; Yang Liu 357; Xiao Bai 001; Na Li 014; Xiaohan Yu 001; Jun Zhou 001; Edwin R. Hancock (Pattern Recognit., 2023)

Learning Deep Asymmetric Tolerant Part Representation. - Xiaohan Yu 001; Yang Zhao 019; Yongsheng Gao 001; Shengwu Xiong 001 (IEEE Trans. Artif. Intell., 2023)

PViT: Pooling Vision Transformer for Active Trachoma Image Classification. - Mulugeta Shitie Zewudie; Shengwu Xiong 001; Xiaohan Yu 001; Xiaoyu Wu; Aminu Onimisi Abdulsalami; Mengjiao Wang (ADMA (4), 2024)

EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles. - Zicheng Pan; Xiaohan Yu 001; Yongsheng Gao 001 (BMVC, 2024)

Robust Synthetic-to-Real Transfer for Stereo Matching. - Jiawei Zhang; Jiahe Li 007; Lei Huang 015; Xiaohan Yu 001; Lin Gu 003; Jin Zheng; Xiao Bai 001 (CVPR, 2024)

CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. - Jiawei Zhang; Jiahe Li 007; Xiaohan Yu 001; Lei Huang 015; Lin Gu 003; Jin Zheng; Xiao Bai 001 (ECCV (1), 2024)

Occluded Person Retrieval with Hierarchical Feature Optimization. - Yang Zhao 019; Pengcheng Zhang 003; Xiaohan Yu 001; Zhibin Liao; Johan Verjans; Xiao Bai 001; Wei Xiang (FG, 2024)

Prompting Continual Person Search. - Pengcheng Zhang 003; Xiaohan Yu 001; Xiao Bai 001; Jin Zheng; Xin Ning 001 (ACM Multimedia, 2024)

SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change Detection. - Yanheng Wang; Xiaohan Yu 001; Yongsheng Gao 001; Jianjun Sha; Jian Wang; Lianru Gao; Yonggang Zhang 001; Xianhui Rong (CoRR, 2024)

Consistent prototype contrastive learning for weakly supervised person search. - Huadong Lin; Xiaohan Yu 001; Pengcheng Zhang 003; Xiao Bai 001; Jin Zheng (J. Vis. Commun. Image Represent., 2024)

Adaptive feature selection for active trachoma image classification. - Mulugeta Shitie Zewudie; Shengwu Xiong 001; Xiaohan Yu 001; Xiaoyu O. Wu; Moges Ahmed Mehamed (Knowl. Based Syst., 2024)

Pseudo-set Frequency Refinement architecture for fine-grained few-shot class-incremental learning. - Zicheng Pan; Weichuan Zhang; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (Pattern Recognit., 2024)

Towards effective person search with deep learning: A survey from systematic perspective. - Pengcheng Zhang 003; Xiaohan Yu 001; Chen Wang 026; Jin Zheng; Xin Ning 001; Xiao Bai 001 (Pattern Recognit., 2024)

Joint discriminative representation learning for end-to-end person search. - Pengcheng Zhang 003; Xiaohan Yu 001; Xiao Bai 001; Chen Wang 026; Jin Zheng; Xin Ning 001 (Pattern Recognit., 2024)

ICLR: Instance Credibility-Based Label Refinement for label noisy person re-identification. - Xian Zhong; Xiyu Han; Xuemei Jia; Wenxin Huang; Wenxuan Liu; Shuaipeng Su; Xiaohan Yu 001; Mang Ye (Pattern Recognit., 2024)

Learning From Human Attention for Attribute-Assisted Visual Recognition. - Xiao Bai 001; Pengcheng Zhang 003; Xiaohan Yu 001; Jin Zheng; Edwin R. Hancock; Jun Zhou 001; Lin Gu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Visual Perturbation for Text-Based Person Search. - Pengcheng Zhang 003; Xiaohan Yu 001; Xiao Bai 001; Jin Zheng (AAAI, 2025)

Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification. - Xiaowei Lu; Kanqi Wang; Peiyu Wang; Qin Zhang; Yang Zhao 019; Gang Liu; Xiaohan Yu 001 (PAKDD (3), 2025)

A client-server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods. - Xianxun Zhu; Zhaozhao Liu; Erik Cambria; Xiaohan Yu 001; Xuhui Fan 001; Hui Chen 026; Rui Wang 034 (Comput. Methods Programs Biomed., 2025)

Uniformity and deformation: A benchmark for multi-fish real-time tracking in the farming. - Jinze Huang; Xiaohan Yu 001; Dong An 001; Xin Ning 001; Jincun Liu; Prayag Tiwari (Expert Syst. Appl., 2025)

A Generative Pretrained Transformer for Semi-Supervised Hyperspectral Image Change Detection. - Yanheng Wang; Jianjun Sha; Xiaohan Yu 001; Yongsheng Gao 001; Yonggang Zhang 001; Xianhui Rong (IEEE Geosci. Remote. Sens. Lett., 2025)

Dynamic and static mutual fitting for action recognition. - Wenxuan Liu; Xuemei Jia; Xian Zhong; Kui Jiang; Xiaohan Yu 001; Mang Ye (Pattern Recognit., 2025)

Overcoming learning bias via Prototypical Feature Compensation for source-free domain adaptation. - Zicheng Pan; Xiaohan Yu 001; Weichuan Zhang; Yongsheng Gao 001 (Pattern Recognit., 2025)

ALStereo: Active learning for stereo matching. - Jiawei Zhang; Jiahe Li 007; Meiying Gu; Xiaohan Yu 001; Jin Zheng; Xiao Bai 001; Edwin R. Hancock (Pattern Recognit., 2025)

Session-Guided Attention in Continuous Learning With Few Samples. - Zicheng Pan; Xiaohan Yu 001; Yongsheng Gao 001 (IEEE Trans. Image Process., 2025)

Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation. - Zicheng Pan; Xiaohan Yu 001; Weichuan Zhang; Yongsheng Gao 001 (CoRR, 2025)

Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric. - Xiaohan Yu 001; Zicheng Pan; Yang Zhao 019; Yongsheng Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Weichuan Zhang; Yongsheng Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Contrastive-Based Removal of Negative Information in Multimodal Emotion Analysis. - Rui Wang 034; Yaoyang Wang; Erik Cambria; Xuhui Fan 001; Xiaohan Yu 001; Yao Huang; Xiaosong E; Xianxun Zhu (Cogn. Comput., 2025)

Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration. - Jun Wang 121; Lixing Zhu; Xiaohan Yu 001; Abhir Bhalerao; Yulan He 001 (CoRR, 2025)

Fully Decoupled End-to-End Person Search: An Approach without Conflicting Objectives. - Pengcheng Zhang 003; Xiaohan Yu 001; Xiao Bai 001; Jin Zheng; Xin Ning 001; Edwin R. Hancock (Int. J. Comput. Vis., 2025)