SSE: A New Selective Initialization Strategy for Snapshot Ensembling. - Dongliang Chang; Xiaoxu Li; Jiyang Xie 001; Zhanyu Ma; Jun Guo 002; Jie Cao 014 (CCIS, 2018)

Dynamic Attention Loss for Small-Sample Image Classification. - Jie Cao 014; Yinping Qiu; Dongliang Chang; Xiaoxu Li; Zhanyu Ma (APSIPA, 2019)

Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification. - Xiaoxu Li; Jijie Wu; Dongliang Chang; Weifeng Huang; Zhanyu Ma; Jie Cao 014 (APSIPA, 2019)

Small-Sample Image Classification Method of Combining Prototype and Margin Learning. - Xiaoxu Li; Liyun Yu; Jie Cao 014; Dongliang Chang; Zhanyu Ma; Nian Liu (APSIPA, 2019)

Channel Max Pooling for Image Classification. - Lu Cheng; Dongliang Chang; Jiyang Xie 001; Rongliang Ma; Chunsheng Wu; Zhanyu Ma (IScIDE (1), 2019)

FICAL: Focal Inter-Class Angular Loss for Image Classification. - Xinran Wei; Dongliang Chang; Jiyang Xie 001; Yixiao Zheng; Chen Gong 002; Chuang Zhang; Zhanyu Ma (VCIP, 2019)

Large-Margin Regularized Softmax Cross-Entropy Loss. - Xiaoxu Li; Dongliang Chang; Tao Tian; Jie Cao 014 (IEEE Access, 2019)

Channel Max Pooling Layer for Fine-Grained Vehicle Classification. - Zhanyu Ma; Dongliang Chang; Xiaoxu Li (CoRR, 2019)

Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification. - Xiaoxu Li; Liyun Yu; Dongliang Chang; Zhanyu Ma; Jie Cao 014 (IEEE Trans. Veh. Technol., 2019)

Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. - Zhanyu Ma; Dongliang Chang; Jiyang Xie 001; Yifeng Ding; Shaoguo Wen; Xiaoxu Li; Zhongwei Si; Jun Guo 002 (IEEE Trans. Veh. Technol., 2019)

Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches. - Ruoyi Du; Dongliang Chang; Ayan Kumar Bhunia; Jiyang Xie 001; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (ECCV (20), 2020)

IU-Module: Intersection and Union Module for Fine-Grained Visual Classification. - Yixiao Zheng; Dongliang Chang; Jiyang Xie 001; Zhanyu Ma (ICME, 2020)

CC-Loss: Channel Correlation Loss for Image Classification. - Zeyu Song; Dongliang Chang; Zhanyu Ma; Xiaoxu Li; Zheng-Hua Tan (ICPR, 2020)

Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization. - Junhui Yin; Siqing Zhang 001; Dongliang Chang; Zhanyu Ma; Jun Guo 002 (ICPR, 2020)

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. - Yifeng Ding; Shaoguo Wen; Jiyang Xie 001; Dongliang Chang; Zhanyu Ma; Zhongwei Si; Haibin Ling (CoRR, 2020)

Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation. - Dongliang Chang; Aneeshan Sain; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (CoRR, 2020)

Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. - Jiyang Xie 001; Dongliang Chang; Zhanyu Ma; Guoqiang Zhang 003; Jun Guo 002 (CoRR, 2020)

Your "Labrador" is My "Dog": Fine-Grained, or Not. - Dongliang Chang; Kaiyue Pang; Yixiao Zheng; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (CoRR, 2020)

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. - Dongliang Chang; Yifeng Ding; Jiyang Xie 001; Ayan Kumar Bhunia; Xiaoxu Li; Zhanyu Ma; Ming Wu 001; Jun Guo 002; Yi-Zhe Song (IEEE Trans. Image Process., 2020)

OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. - Xiaoxu Li; Dongliang Chang; Zhanyu Ma; Zheng-Hua Tan; Jing-Hao Xue; Jie Cao 014; Jingyi Yu; Jun Guo 002 (IEEE Trans. Image Process., 2020)

Your "Flamingo" is My "Bird": Fine-Grained, or Not. - Dongliang Chang; Kaiyue Pang; Yixiao Zheng; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (CVPR, 2021)

Knowledge Transfer Based Fine-Grained Visual Classification. - Siqing Zhang 001; Ruoyi Du; Dongliang Chang; Zhanyu Ma; Jun Guo 002 (ICME, 2021)

GRAD-CAM Guided Channel-Spatial Attention Module for Fine-Grained Visual Classification. - Shuai Xu; Dongliang Chang; Jiyang Xie 001; Zhanyu Ma (MLSP, 2021)

Exploring Category-Shared and Category-Specific Features for Fine-Grained Image Classification. - Haoyu Wang; Dongliang Chang; Weidong Liu; Bo Xiao 002; Zhanyu Ma; Jun Guo 002; Yaning Chang (PRCV (1), 2021)

Progressive Co-Attention Network for Fine-Grained Visual Classification. - Tian Zhang; Dongliang Chang; Zhanyu Ma; Jun Guo 002 (VCIP, 2021)

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. - Dongliang Chang; Yixiao Zheng; Zhanyu Ma; Ruoyi Du; Kongming Liang (CoRR, 2021)

Making a Bird AI Expert Work for You and Me. - Dongliang Chang; Kaiyue Pang; Ruoyi Du; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (CoRR, 2021)

Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data. - Ruoyi Du; Dongliang Chang; Zhanyu Ma; Yi-Zhe Song; Jun Guo 002 (CoRR, 2021)

Deep InterBoost networks for small-sample image classification. - Xiaoxu Li; Dongliang Chang; Zhanyu Ma; Zheng-Hua Tan; Jing-Hao Xue; Jie Cao 014; Jun Guo 002 (Neurocomputing, 2021)

Competing ratio loss for discriminative multi-class image classification. - Ke Zhang 005; Yurong Guo; Xinsheng Wang; Dongliang Chang; Zhenbing Zhao; Zhanyu Ma; Tony X. Han (Neurocomputing, 2021)

AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification. - Yifeng Ding; Zhanyu Ma; Shaoguo Wen; Jiyang Xie 001; Dongliang Chang; Zhongwei Si; Ming Wu 001; Haibin Ling (IEEE Trans. Image Process., 2021)

Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. - Jingye Wang; Ruoyi Du; Dongliang Chang; Kongming Liang; Zhanyu Ma (ACM Multimedia, 2022)

Complex Scenario-Oriented Fine-Grained Visual Classification Platform. - Dongliang Chang; Junhan Chen; Xinran Wang; Ruoyi Du; Wenqing Yu; Yufan Liu; Yujun Tong; Kongming Liang; Yi-Zhe Song; Zhanyu Ma (MMSP, 2022)

Multi-modal Human-machine Conversation System for Real Physical World. - Yitao Chen; Shibo Nie; Mandan Guan; Jie Wang; Ruoyi Du; Dongliang Chang; Kongming Liang; Zhanyu Ma (MMSP, 2022)

Cross-Layer Feature based Multi-Granularity Visual Classification. - Junhan Chen; Dongliang Chang; Jiyang Xie 001; Ruoyi Du; Zhanyu Ma (VCIP, 2022)

Domain Generalization via Frequency-based Feature Disentanglement and Interaction. - Jingye Wang; Ruoyi Du; Dongliang Chang; Zhanyu Ma (CoRR, 2022)

Multi-View Active Fine-Grained Recognition. - Ruoyi Du; Wenqing Yu; Heqing Wang; Dongliang Chang; Ting-En Lin; Yongbin Li; Zhanyu Ma (CoRR, 2022)

Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification. - Ruoyi Du; Jiyang Xie 001; Zhanyu Ma; Dongliang Chang; Yi-Zhe Song; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. - Jiyang Xie 001; Zhanyu Ma; Dongliang Chang; Guoqiang Zhang 003; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. - Jijie Wu; Dongliang Chang; Aneeshan Sain; Xiaoxu Li; Zhanyu Ma; Jie Cao 014; Jun Guo 002; Yi-Zhe Song (AAAI, 2023)

Multi-Frequency Feature Enhancement for Multi-Granularity Visual Classification. - Meijiang Fu; Yixiao Zheng; Dongliang Chang; Wenpan Li; Zhanyu Ma (APSIPA ASC, 2023)

An Erudite Fine-Grained Visual Classification Model. - Dongliang Chang; Yujun Tong; Ruoyi Du; Timothy M. Hospedales; Yi-Zhe Song; Zhanyu Ma (CVPR, 2023)

On-the-Fly Category Discovery. - Ruoyi Du; Dongliang Chang; Kongming Liang; Timothy M. Hospedales; Yi-Zhe Song; Zhanyu Ma (CVPR, 2023)

Multi-View Active Fine-Grained Visual Recognition. - Ruoyi Du; Wenqing Yu; Heqing Wang; Ting-En Lin; Dongliang Chang; Zhanyu Ma (ICCV, 2023)

Bilinear Adversarial Network for Fine-Grained Domain Adaptation. - Wenqing Yu; Dongliang Chang; Kongming Liang; Zhanyu Ma (IC-NIDC, 2023)

Making a Bird AI Expert Work for You and Me. - Dongliang Chang; Kaiyue Pang; Ruoyi Du; Yujun Tong; Yi-Zhe Song; Zhanyu Ma; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Class-Aware Contrastive Learning for Fine-Grained Skeleton-Based Action Recognition. - Xinyu Bian; Dongliang Chang; Yuqi Yang; Zhongjiang He; Kongming Liang; Zhanyu Ma (ACCV (1), 2024)

Hierarchical Prompting for Diffusion Classifiers. - Wenxin Ning; Dongliang Chang; Yujun Tong; Zhongjiang He; Kongming Liang; Zhanyu Ma (ACCV (8), 2024)

DemoFusion: Democratising High-Resolution Image Generation With No $$$. - Ruoyi Du; Dongliang Chang; Timothy M. Hospedales; Yi-Zhe Song; Zhanyu Ma (CVPR, 2024)

Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification. - Shicheng Yang; Xiaoxu Li; Dongliang Chang; Zhanyu Ma; Jing-Hao Xue (ACM Multimedia, 2024)

M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere. - Mengqiu Xu; Ming Wu 001; Kaixin Chen 001; Yixiang Huang; Mingrui Xu; Yujia Yang; Yiqing Feng; Yiying Guo; Bin Huang; Dongliang Chang; Zhenwei Shi; Chuang Zhang; et al. (CoRR, 2024)

CreativeSeg: Semantic Segmentation of Creative Sketches. - Yixiao Zheng; Kaiyue Pang; Ayan Das 003; Dongliang Chang; Yi-Zhe Song; Zhanyu Ma (IEEE Trans. Image Process., 2024)

Semi-Supervised Learning for FGVC With Out-of-Category Data. - Ruoyi Du; Dongliang Chang; Zhanyu Ma; Kongming Liang; Yi-Zhe Song; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Mind the Gap: Open Set Domain Adaptation via Mutual-to-Separate Framework. - Dongliang Chang; Aneeshan Sain; Zhanyu Ma; Yi-Zhe Song; Ruiping Wang 001; Jun Guo 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification. - Jijie Wu; Dongliang Chang; Aneeshan Sain; Xiaoxu Li; Zhanyu Ma; Jie Cao 014; Jun Guo 002; Yi-Zhe Song (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Self-randomized focuses effectively boost metric-based few-shot classifiers. - Zhen Li 026; Zhongyuan Liu; Dongliang Chang; Aneeshan Sain; Xiaoxu Li; Zhanyu Ma; Jing-Hao Xue; Yi-Zhe Song (Pattern Recognit., 2025)

Reserve to Adapt: Mining Inter-Class Relations for Open-Set Domain Adaptation. - Yujun Tong; Dongliang Chang; Da Li 001; Xinran Wang; Kongming Liang; Zhongjiang He; Yi-Zhe Song; Zhanyu Ma (IEEE Trans. Image Process., 2025)

Query-Aware Cross-Mixup and Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. - Zhimin Zhang; Dongliang Chang; Rui Zhu 006; Xiaoxu Li; Zhanyu Ma; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2025)

FakeReasoning: Towards Generalizable Forgery Detection and Reasoning. - Yueying Gao; Dongliang Chang; Bingyao Yu; Haotian Qin; Lei Chen; Kongming Liang; Zhanyu Ma (CoRR, 2025)

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection. - Haotian Qin; Dongliang Chang; Yueying Gao; Bingyao Yu; Lei Chen; Zhanyu Ma (CoRR, 2025)

Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions. - Jinyi Chang; Dongliang Chang; Lei Chen; Bingyao Yu; Zhanyu Ma (CoRR, 2025)

Adaptive Multi-Resolution Feature Fusion for Fine-Grained Visual Classification. - Yuqi Yang; Dongliang Chang; Ruoyi Du; Yi-Zhe Song; Zhanyu Ma (IEEE Trans. Circuits Syst. Video Technol., 2025)