Chaoqi Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Probabilistic Reasoning

Graph Embedding

Object Detectors

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Knowl. Based Syst.

Publications

Yi Huang, Jiancheng Huang, Jianzhuang Liu, Mingfu Yan, Yu Dong, Jiaxi Lv, Chaoqi Chen, Shifeng Chen
WaveDM: Wavelet-Based Diffusion Models for Image Restoration. IEEE Trans. Multim. 26 (2024)
Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu
DreamDA: Generative Data Augmentation with Diffusion Models. CoRR (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)
Jiexiang Wang, Chaoqi Chen
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision. CoRR (2023)
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 (2023)
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Jiexiang Wang, Chaoqi Chen
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision. IPMI (2023)
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)
Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) (2023)
Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang
GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection. IEEE Trans. Medical Imaging 42 (2) (2023)
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. NeurIPS (2023)
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. CoRR (2023)
Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen
Towards Higher-order Topological Consistency for Unsupervised Network Alignment. ICDE (2023)
Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen
Towards Higher-order Topological Consistency for Unsupervised Network Alignment. CoRR (2022)
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. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
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. 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. 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)
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
Compound Domain Generalization via Meta-Knowledge Encoding. 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. 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)
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
Compound Domain Generalization via Meta-Knowledge Encoding. CVPR (2022)
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR (2022)
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR (2021)
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 (2021)
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)
Xiao Liang, Kyle Akers, Ishi Keenum, Lauren Wind, Suraj Gupta, Chaoqi Chen, Reem Aldaihani, Amy Pruden, Liqing Zhang, Katharine F. Knowlton, Kang Xia, Lenwood S. Heath
AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata. BMC Bioinform. 22 (1) (2021)
Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou
Hard class rectification for domain adaptation. Knowl. Based Syst. 222 (2021)
Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CoRR (2021)
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CVPR (2020)
Chaoqi Chen, Weiping Xie, Yi Wen, Yue Huang, Xinghao Ding
Multiple-source domain adaptation with generative adversarial nets. Knowl. Based Syst. 199 (2020)
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR (2020)
Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou
Hard Class Rectification for Domain Adaptation. CoRR (2020)
Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR (2019)
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 (2019)
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)
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. CoRR (2019)
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)
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 (2018)