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ORCIDGangming Zhao
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2020 – today
- 2024
[j7]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: 104673 (2024)- [j6]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): 7376-7390 (2024) - [i21]Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. CoRR abs/2401.06224 (2024) - [i20]Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu:
Progressive Conservative Adaptation for Evolving Target Domains. CoRR abs/2402.04573 (2024) - [i19]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 abs/2403.18871 (2024) - [i18]Ming Jin, Danni Zhang, Gangming Zhao, Changde Du, Jinpeng Li:
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition. CoRR abs/2409.15733 (2024) - [i17]Xin Wei, Yaling Tao, Changde Du, Gangming Zhao, Yizhou Yu, Jinpeng Li:
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features. CoRR abs/2409.15744 (2024) - 2023
- [j5]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): 183-195 (2023) - [c20]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: 1421-1428 - [c19]Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. BIBM 2023: 1503-1508 - [c18]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: 9233-9242 - [c17]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: 9729-9738 - [c16]Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song:
Learning Locality and Isotropy in Dialogue Modeling. ICLR 2023 - [c15]Lingfeng Li, Gangming Zhao, Yizhou Yu, Jinpeng Li:
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. ACM Multimedia 2023: 719-727 - [i16]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 abs/2301.02393 (2023) - [i15]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 abs/2305.08293 (2023) - [i14]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 abs/2310.19019 (2023) - 2022
- [j4]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): 7400-7416 (2022) - [j3]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): 5142-5153 (2022) - [c14]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: 1115-1120 - [c13]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: 3063-3070 - [c12]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. BMVC 2022: 371 - [c11]Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu:
OneFace: One Threshold for All. ECCV (12) 2022: 545-561 - [c10]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: 623-633 - [c9]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 - [i13]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. CoRR abs/2201.13027 (2022) - [i12]Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song:
Learning Locality and Isotropy in Dialogue Modeling. CoRR abs/2205.14583 (2022) - [i11]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 abs/2207.00251 (2022) - [i10]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 abs/2208.09282 (2022) - [i9]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 abs/2208.10695 (2022) - [i8]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 abs/2210.07571 (2022) - 2021
- [j2]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: 107848 (2021) - [j1]Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu:
Contralaterally Enhanced Networks for Thoracic Disease Detection. IEEE Trans. Medical Imaging 40(9): 2428-2438 (2021) - [c8]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: 1477-1480 - [c7]Stanley T. Yu, Gangming Zhao:
Attribute Relation Modeling for Pulmonary Nodule Malignancy Reasoning. DeLTA 2021: 59-66 - [c6]Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. ICCV 2021: 2743-2752 - [c5]Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. ICCV 2021: 3334-3344 - [c4]Gangming Zhao:
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. ACM Multimedia 2021: 612-620 - [i7]Gangming Zhao, Baolian Qi, Jinpeng Li:
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. CoRR abs/2101.08992 (2021) - [i6]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 abs/2107.06442 (2021) - [i5]Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. CoRR abs/2108.00211 (2021) - [i4]Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. CoRR abs/2108.00580 (2021) - [i3]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 abs/2108.07662 (2021) - 2020
- [i2]Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu:
Contralaterally Enhanced Networks for Thoracic Disease Detection. CoRR abs/2010.04483 (2020)
2010 – 2019
- 2019
- [c3]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: 10631-10640 - 2018
- [c2]Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang:
Rethinking ReLU to Train Better CNNs. ICPR 2018: 603-608 - 2017
- [c1]Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang:
Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers. IJCAI 2017: 3476-3482 - [i1]Gangming Zhao, Zhaoxiang Zhang, Jingdong Wang, He Guan:
Training Better CNNs Requires to Rethink ReLU. CoRR abs/1709.06247 (2017)
Coauthor Index
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