Chaoqi Chen

68 papers A* 17A 2Journal 45Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
4D Point Cloud Segmentation via Active Test-Time Adaptation.
AAAI
Mingrong Gong, Chaoqi Chen, Luyao Tang, Yuxi Wang, Sergio Escalera
2026 J jnl
Back to Physics: Operator-Guided Generative Paths for SMS MRI Reconstruction.
CoRR
Zhibo Chen, Yu Guan, Yajuan Huang, Chaoqi Chen, XiangJi, Qiuyun Fan, Dong Liang, Qiegen Liu
2026 A* conf
Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score.
AAAI
Yuxuan Yuan, Lichen Wei, Luyao Tang, Chaoqi Chen, Zheyuan Cai, Yue Huang, Xinghao Ding
2026 A* conf
Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting.
AAAI
Bin Pu, Siyu Wang, Rongbin Li, Xinpeng Ding, Lei Zhao, Chaoqi Chen, Shengli Li, Kenli Li
2026 A* conf
TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction.
AAAI
Yuxiang Zhong, Jun Wei, Chaoqi Chen, Senyou An, Hui Huang
2026 J jnl
TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction.
CoRR
Yuxiang Zhong, Jun Wei, Chaoqi Chen, Senyou An, Hui Huang
2025 J jnl
Activate and Adapt: A Two-Stage Framework for Open-Set Model Adaptation.
Trans. Mach. Learn. Res.
Xiasi Wang, Jiaqi Lin, Chaoqi Chen, Luyao Tang, Yi Huang, Chengsen Wang, Lei Ye, Yuan Yao
2025 J jnl
Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction.
CoRR
Luyao Tang, Kunze Huang, Chaoqi Chen, Yuxuan Yuan, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang
2025 J jnl
Filling and Disentanglement: Toward Low- and High-Order Parallel Single-Domain Generalization for SAR Ship Detection.
IEEE Trans. Aerosp. Electron. Syst.
Yuxuan Yuan, Luyao Tang, Ying Xu, Chuyang Lin, Chaoqi Chen, Yue Huang, Xinghao Ding
2025 J jnl
Generalized Category Discovery via Token Manifold Capacity Learning.
CoRR
Luyao Tang, Kunze Huang, Chaoqi Chen, Cheng Chen
2025 A* conf
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad.
CVPR
Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Zeyu Zhang, Yue Huang, Kun Zhang
2025 J jnl
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad.
CoRR
Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Zeyu Zhang, Yue Huang, Kun Zhang
2025 A conf
On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing.
CIKM
Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun
2025 J jnl
On the Homophily of Heterogeneous Graphs: Understanding and Unleashing.
CoRR
Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun
2025 A* conf
Out-of-Distribution Detection with Prototypical Outlier Proxy.
AAAI
Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang
2025 A* conf
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.
AAAI
Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang
2025 J jnl
Turbid image restoration based on optimization via turbidity evaluator model.
Signal Image Video Process.
Chaoqi Chen, Xiuzhan Zhang, Haosu Zhang, Jiancheng Liu, Hao Li
2024 J jnl
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2024 J jnl
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning.
CoRR
Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Kunze Huang, Xinghao Ding, Yue Huang
2024 J jnl
DIVE: Taming DINO for Subject-Driven Video Editing.
CoRR
Yi Huang, Wei Xiong, He Zhang, Chaoqi Chen, Jianzhuang Liu, Mingfu Yan, Shifeng Chen
2024 J jnl
DreamDA: Generative Data Augmentation with Diffusion Models.
CoRR
Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu
2024 J jnl
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba.
CoRR
Yunxiang Fu, Chaoqi Chen, Yizhou Yu
2024 J jnl
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation.
CoRR
Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang
2024 A conf
Mixstyle-Entropy: Whole Process Domain Generalization with Causal Intervention and Perturbation.
BMVC
Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang
2024 J jnl
Multi-domain pseudo-reference quality evaluation for infrared and visible image fusion.
IET Image Process.
Xiangchao Meng, Chaoqi Chen, Qiang Liu, Feng Shao
2024 J jnl
Out-of-Distribution Detection with Prototypical Outlier Proxy.
CoRR
Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang
2024 J jnl
Progressive Conservative Adaptation for Evolving Target Domains.
CoRR
Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu
2024 A* conf
Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity.
NeurIPS
Chaoqi Chen, Luyao Tang, Hui Huang
2024 J jnl
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.
CoRR
Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang
2024 J jnl
WaveDM: Wavelet-Based Diffusion Models for Image Restoration.
IEEE Trans. Multim.
Yi Huang, Jiancheng Huang, Jianzhuang Liu, Mingfu Yan, Yu Dong, Jiaxi Lv, Chaoqi Chen, Shifeng Chen
2023 J jnl
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
2023 A* conf
Activate and Reject: Towards Safe Domain Generalization under Category Shift.
ICCV
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 J jnl
Activate and Reject: Towards Safe Domain Generalization under Category Shift.
CoRR
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 A* conf
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation.
NeurIPS
Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu
2023 — conf
Domain Generalization via Implicit Domain Augmentation.
ICONIP (8)
Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding
2023 J jnl
GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection.
IEEE Trans. Medical Imaging
Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang
2023 J jnl
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis.
CoRR
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
2023 J jnl
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
2023 A* conf
Towards Higher-order Topological Consistency for Unsupervised Network Alignment.
ICDE
Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen
2023 — conf
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision.
IPMI
Jiexiang Wang, Chaoqi Chen
2023 J jnl
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision.
CoRR
Jiexiang Wang, Chaoqi Chen
2022 J jnl
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.
CoRR
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
2022 J jnl
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
2022 A* conf
Compound Domain Generalization via Meta-Knowledge Encoding.
CVPR
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
2022 J jnl
Compound Domain Generalization via Meta-Knowledge Encoding.
CoRR
Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu
2022 J jnl
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.
CoRR
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
2022 J jnl
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.
IEEE Trans. Pattern Anal. Mach. Intell.
Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
2022 A* conf
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.
NeurIPS
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
2022 J jnl
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.
CoRR
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
2022 J jnl
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection.
CoRR
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
2022 J jnl
Towards Higher-order Topological Consistency for Unsupervised Network Alignment.
CoRR
Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen
2021 J jnl
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection.
CoRR
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
2021 J jnl
AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata.
BMC Bioinform.
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
2021 J jnl
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images.
IEEE J. Biomed. Health Informatics
Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu
2021 A* conf
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection.
ICCV
Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
2021 J jnl
Hard class rectification for domain adaptation.
Knowl. Based Syst.
Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou
2021 A* conf
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors.
CVPR
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
2021 J jnl
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors.
CoRR
Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu
2020 J jnl
Hard Class Rectification for Domain Adaptation.
CoRR
Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou
2020 A* conf
Harmonizing Transferability and Discriminability for Adapting Object Detectors.
CVPR
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
2020 J jnl
Harmonizing Transferability and Discriminability for Adapting Object Detectors.
CoRR
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
2020 J jnl
Multiple-source domain adaptation with generative adversarial nets.
Knowl. Based Syst.
Chaoqi Chen, Weiping Xie, Yi Wen, Yue Huang, Xinghao Ding
2019 — conf
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network.
STACOM@MICCAI
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
2019 J jnl
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network.
CoRR
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
2019 A* conf
Progressive Feature Alignment for Unsupervised Domain Adaptation.
CVPR
Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang
2019 J jnl
Unsupervised Adversarial Graph Alignment with Graph Embedding.
CoRR
Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang
2018 J jnl
Progressive Feature Alignment for Unsupervised Domain Adaptation.
CoRR
Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang
2018 — conf
Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation.
ICONIP (5)
Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding