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Chaoqi Chen
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2020 – today
- 2024
- [j11]Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10297-10318 (2024) - [j10]Yi Huang
, Jiancheng Huang
WaveDM: Wavelet-Based Diffusion Models for Image Restoration. IEEE Trans. Multim. 26: 7058-7073 (2024) - [i21]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) - [i20]Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu:
DreamDA: Generative Data Augmentation with Diffusion Models. CoRR abs/2403.12803 (2024) - [i19]Yunxiang Fu, Chaoqi Chen, Yizhou Yu:
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba. CoRR abs/2408.02615 (2024) - [i18]Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang:
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation. CoRR abs/2408.03608 (2024) - [i17]Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Kunze Huang, Xinghao Ding, Yue Huang:
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning. CoRR abs/2408.16310 (2024) - 2023
- [j9]Chaoqi Chen
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3677-3694 (2023) - [j8]Hong-Yu Zhou
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8020-8035 (2023) - [j7]Chaoqi Chen
GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection. IEEE Trans. Medical Imaging 42(2): 507-518 (2023) - [c13]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. ICCV 2023: 11518-11529 - [c12]Qingqiang Sun, Xuemin Lin, Ying Zhang
Towards Higher-order Topological Consistency for Unsupervised Network Alignment. ICDE 2023: 177-190 - [c11]Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding:
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) 2023: 437-448 - [c10]Jiexiang Wang, Chaoqi Chen:
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision. IPMI 2023: 250-262 - [c9]Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu:
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. NeurIPS 2023 - [i16]Hong-Yu Zhou
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. CoRR abs/2301.00772 (2023) - [i15]Jiexiang Wang, Chaoqi Chen:
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision. CoRR abs/2308.06665 (2023) - [i14]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. CoRR abs/2310.04724 (2023) - 2022
- [j6]Yuhang Liu
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5947-5961 (2022) - [j5]Gangming Zhao, Quanlong Feng
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) - [c8]Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu:
Compound Domain Generalization via Meta-Knowledge Encoding. CVPR 2022: 7109-7119 - [c7]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]Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu:
Compound Domain Generalization via Meta-Knowledge Encoding. CoRR abs/2203.13006 (2022) - [i12]Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR abs/2206.02355 (2022) - [i11]Gangming Zhao, Quanlong Feng
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. CoRR abs/2208.09282 (2022) - [i10]Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen:
Towards Higher-order Topological Consistency for Unsupervised Network Alignment. CoRR abs/2208.12463 (2022) - [i9]Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR abs/2209.13232 (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
- [j4]Xiao Liang
AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata. BMC Bioinform. 22(1): 117 (2021) - [j3]Yunlong Zhang, Changxing Jing
Hard class rectification for domain adaptation. Knowl. Based Syst. 222: 107011 (2021) - [j2]Qi Qi
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. IEEE J. Biomed. Health Informatics 25(4): 1163-1172 (2021) - [c6]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR 2021: 12576-12585 - [c5]Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. ICCV 2021: 2683-2692 - [i7]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CoRR abs/2103.13757 (2021) - [i6]Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu:
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection. CoRR abs/2105.10160 (2021) - 2020
- [j1]Chaoqi Chen
Multiple-source domain adaptation with generative adversarial nets. Knowl. Based Syst. 199: 105962 (2020) - [c4]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CVPR 2020: 8866-8875 - [i5]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR abs/2003.06297 (2020) - [i4]Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard Class Rectification for Domain Adaptation. CoRR abs/2008.03455 (2020)
2010 – 2019
- 2019
- [c3]Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR 2019: 627-636 - [c2]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. STACOM@MICCAI 2019: 254-262 - [i3]Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR abs/1907.00544 (2019) - [i2]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. CoRR abs/1910.12514 (2019) - 2018
- [c1]Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding:
Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. ICONIP (5) 2018: 311-322 - [i1]Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.08585 (2018)
Coauthor Index
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