Gangming Zhao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 46

Top Topics

Vessel Segmentation

Top Venues

Publications

Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification. CoRR (2024)
Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. CoRR (2024)
Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu
Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification. J. Biomed. Informatics 156 (2024)
Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu
Progressive Conservative Adaptation for Evolving Target Domains. CoRR (2024)
Penghua Zhai, Huaiwei Cong, Enwei Zhu, Gangming Zhao, Yizhou Yu, Jinpeng Li
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CoRR (2023)
Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CVPR (2023)
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR (2023)
Wending Zhou, Xu Yan, Yinghong Liao, Yuankai Lin, Jin Huang, Gangming Zhao, Shuguang Cui, Zhen Li
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion. CVPR (2023)
Nan He, Hanyu Lai, Chenyang Zhao, Zirui Cheng, Junting Pan, Ruoyu Qin, Ruofan Lu, Rui Lu, Yunchen Zhang, Gangming Zhao, Zhaohui Hou, Zhiyuan Huang, Shaoqing Lu, Ding Liang, Mingjie Zhan
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise. CoRR (2023)
Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song
Learning Locality and Isotropy in Dialogue Modeling. ICLR (2023)
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging 42 (1) (2023)
Lingfeng Li, Gangming Zhao, Yizhou Yu, Jinpeng Li
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. ACM Multimedia (2023)
Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. BIBM (2023)
Jingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. BIBM (2023)
Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. BIBM (2022)
Baolian Qi, Gangming Zhao, Xin Wei, Changde Du, Chengwei Pan, Yizhou Yu, Jinpeng Li
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. CoRR (2022)
Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
BOAT: Bilateral Local Attention Vision Transformer. CoRR (2022)
Chengwei Pan, Baolian Qi, Gangming Zhao, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li
Deep 3D Vessel Segmentation based on Cross Transformer Network. BIBM (2022)
Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu
BOAT: Bilateral Local Attention Vision Transformer. BMVC (2022)
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. CoRR (2022)
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. NeurIPS (2022)
Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. MICCAI (1) (2022)
Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu
OneFace: One Threshold for All. ECCV (12) (2022)
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. CoRR (2022)
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. CoRR (2022)
Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song
Learning Locality and Isotropy in Dialogue Modeling. CoRR (2022)
Gangming Zhao, Weifeng Ge, Yizhou Yu
GraphFPN: Graph Feature Pyramid Network for Object Detection. ICCV (2021)
Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Zhiqiang Chen, Jinpeng Li
Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations. BIBM (2021)
Jinpeng Li, Gangming Zhao, Yaling Tao, Penghua Zhai, Hao Chen, Huiguang He, Ting Cai
Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19. Pattern Recognit. 114 (2021)
Stanley T. Yu, Gangming Zhao
Attribute Relation Modeling for Pulmonary Nodule Malignancy Reasoning. DeLTA (2021)
Gangming Zhao, Weifeng Ge, Yizhou Yu
GraphFPN: Graph Feature Pyramid Network for Object Detection. CoRR (2021)
Gangming Zhao, Baolian Qi, Jinpeng Li
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. CoRR (2021)
Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Chengwei Pan, Jinpeng Li, Huiguang He, Licheng Jiao
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images. CoRR (2021)
Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
Multi-scale Matching Networks for Semantic Correspondence. CoRR (2021)
Gangming Zhao
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. ACM Multimedia (2021)
Penghua Zhai, Huaiwei Cong, Gangming Zhao, Chaowei Fang, Jinpeng Li, Ting Cai, Huiguang He
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions. CoRR (2021)
Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu
Contralaterally Enhanced Networks for Thoracic Disease Detection. IEEE Trans. Medical Imaging 40 (9) (2021)
Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu
Multi-scale Matching Networks for Semantic Correspondence. ICCV (2021)
Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu
Contralaterally Enhanced Networks for Thoracic Disease Detection. CoRR (2020)
Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. ICCV (2019)
Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang
Rethinking ReLU to Train Better CNNs. ICPR (2018)
Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang
Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers. IJCAI (2017)
Gangming Zhao, Zhaoxiang Zhang, Jingdong Wang, He Guan
Training Better CNNs Requires to Rethink ReLU. CoRR (2017)