Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers. - Gangming Zhao; Jingdong Wang 001; Zhaoxiang Zhang 001 (IJCAI, 2017)

Training Better CNNs Requires to Rethink ReLU. - Gangming Zhao; Zhaoxiang Zhang 001; Jingdong Wang 001; He Guan (CoRR, 2017)

Rethinking ReLU to Train Better CNNs. - Gangming Zhao; Zhaoxiang Zhang 001; He Guan; Peng Tang; Jingdong Wang 001 (ICPR, 2018)

Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. - Jingyu Liu 004; Gangming Zhao; Yu Fei; Ming Zhang 004; Yizhou Wang 001; Yizhou Yu (ICCV, 2019)

Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations. - Baolian Qi; Gangming Zhao; Xin Wei; Chaowei Fang; Zhiqiang Chen; Jinpeng Li 002 (BIBM, 2021)

Attribute Relation Modeling for Pulmonary Nodule Malignancy Reasoning. - Stanley T. Yu; Gangming Zhao (DeLTA, 2021)

GraphFPN: Graph Feature Pyramid Network for Object Detection. - Gangming Zhao; Weifeng Ge; Yizhou Yu (ICCV, 2021)

Multi-scale Matching Networks for Semantic Correspondence. - Dongyang Zhao; Ziyang Song; Zhenghao Ji; Gangming Zhao; Weifeng Ge; Yizhou Yu (ICCV, 2021)

Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. - Gangming Zhao (ACM Multimedia, 2021)

Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. - Gangming Zhao; Baolian Qi; Jinpeng Li 002 (CoRR, 2021)

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images. - Baolian Qi; Gangming Zhao; Xin Wei; Chaowei Fang; Chengwei Pan; Jinpeng Li 002; Huiguang He; Licheng Jiao (CoRR, 2021)

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions. - Penghua Zhai; Huaiwei Cong; Gangming Zhao; Chaowei Fang; Jinpeng Li 002; Ting Cai 001; Huiguang He (CoRR, 2021)

Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19. - Jinpeng Li 002; Gangming Zhao; Yaling Tao; Penghua Zhai; Hao Chen 081; Huiguang He; Ting Cai 001 (Pattern Recognit., 2021)

Contralaterally Enhanced Networks for Thoracic Disease Detection. - Gangming Zhao; Chaowei Fang; Guanbin Li; Licheng Jiao; Yizhou Yu (IEEE Trans. Medical Imaging, 2021)

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. - Lingfeng Li; Huaiwei Cong; Gangming Zhao; Junran Peng; Zheng Zhang 006; Jinpeng Li 002 (BIBM, 2022)

Deep 3D Vessel Segmentation based on Cross Transformer Network. - Chengwei Pan; Baolian Qi; Gangming Zhao; Jiaheng Liu; Chaowei Fang; Dingwen Zhang; Jinpeng Li 002 (BIBM, 2022)

BOAT: Bilateral Local Attention Vision Transformer. - Tan Yu; Gangming Zhao; Ping Li 001; Yizhou Yu (BMVC, 2022)

OneFace: One Threshold for All. - Jiaheng Liu; Zhipeng Yu; Haoyu Qin; Yichao Wu; Ding Liang; Gangming Zhao; Ke Xu 001 (ECCV (12), 2022)

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. - Chengwei Pan; Gangming Zhao; Junjie Fang; Baolian Qi; Jiaheng Liu; Chaowei Fang; Dingwen Zhang; Jinpeng Li 002; Yizhou Yu (MICCAI (1), 2022)

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. - Chaoqi Chen; Luyao Tang; Feng Liu 036; Gangming Zhao; Yue Huang 001; Yizhou Yu (NeurIPS, 2022)

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. - Gangming Zhao; Quanlong Feng; Chaoqi Chen; Zhen Zhou; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. - Baolian Qi; Gangming Zhao; Xin Wei; Changde Du; Chengwei Pan; Yizhou Yu; Jinpeng Li 002 (IEEE J. Biomed. Health Informatics, 2022)

START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. - Jingpeng Sun; Rongxiao Wang; Gangming Zhao; Chen Chen 036; Yixiao Qu; Jinpeng Li; Xiyuan Hu; Yizhou Yu (BIBM, 2023)

Leveraging Frequency Domain Learning in 3D Vessel Segmentation. - Xinyuan Wang 009; Chengwei Pan; Hongming Dai; Gangming Zhao; Jinpeng Li; Xiao Zhang; Yizhou Yu (BIBM, 2023)

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. - Weizhi Zhong; Chaowei Fang; Yinqi Cai; Pengxu Wei; Gangming Zhao; Liang Lin; Guanbin Li (CVPR, 2023)

BEV@DC: Bird's-Eye View Assisted Training for Depth Completion. - Wending Zhou; Xu Yan 005; Yinghong Liao; Yuankai Lin; Jin Huang; Gangming Zhao; Shuguang Cui; Zhen Li 026 (CVPR, 2023)

Learning Locality and Isotropy in Dialogue Modeling. - Han Wu 004; Haochen Tan; Mingjie Zhan; Gangming Zhao; Shaoqing Lu; Ding Liang; Linqi Song (ICLR, 2023)

Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. - Lingfeng Li; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (ACM Multimedia, 2023)

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. - Gangming Zhao; Kongming Liang; Chengwei Pan; Fandong Zhang; Xianpeng Wu; Xinyang Hu; Yizhou Yu (CoRR, 2023)

TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise. - Nan He; Hanyu Lai; Chenyang Zhao; Zirui Cheng; Junting Pan; Ruoyu Qin; Ruofan Lu; Rui Lu; Yunchen Zhang; Gangming Zhao; Zhaohui Hou; Zhiyuan Huang; et al. (CoRR, 2023)

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. - Gangming Zhao; Kongming Liang; Chengwei Pan; Fandong Zhang; Xianpeng Wu; Xinyang Hu; Yizhou Yu (IEEE Trans. Medical Imaging, 2023)

Progressive Conservative Adaptation for Evolving Target Domains. - Gangming Zhao; Chaoqi Chen; Wenhao He; Chengwei Pan; Chaowei Fang; Jinpeng Li 002; Xilin Chen 001; Yizhou Yu (CoRR, 2024)

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition. - Ming Jin 006; Danni Zhang; Gangming Zhao; Changde Du; Jinpeng Li 002 (CoRR, 2024)

ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features. - Xin Wei; Yaling Tao; Changde Du; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (CoRR, 2024)

Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification. - Han Yuan; Chuan Hong; Pengtao Jiang; Gangming Zhao; Nguyen Tuan Anh Tran; Xinxing Xu; Yet Yen Yan; Nan Liu 003 (J. Biomed. Informatics, 2024)

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions. - Penghua Zhai; Huaiwei Cong; Enwei Zhu; Gangming Zhao; Yizhou Yu; Jinpeng Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Mamba-advanced unsupervised cross-modality medical image segmentation via domain adaptation and task decomposition. - Haoran Feng; Danyang Peng; Jun Wu; Yong Zhang; Feidan Kou; Yuanyuan Li; Gangming Zhao; Xiaohu Li; Lei Qu (Knowl. Based Syst., 2025)

Federated Client-Tailored Adapter for Medical Image Segmentation. - Guyue Hu 001; Siyuan Song; Yukun Kang; Zhu Yin; Gangming Zhao; Chenglong Li 002; Jin Tang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Federated Client-tailored Adapter for Medical Image Segmentation. - Guyue Hu 004; Siyuan Song; Yukun Kang; Zhu Yin; Gangming Zhao; Chenglong Li; Jin Tang (CoRR, 2025)

Dynamic Strip Convolution and Adaptive Morphology Perception Plugin for Medical Anatomy Segmentation. - Guyue Hu 001; Yukun Kang; Gangming Zhao; Zhe Jin; Chenglong Li 002; Jin Tang 001 (IEEE Trans. Medical Imaging, 2025)