Chaoqi Chen

According to our database, Chaoqi Chen authored at least 52 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation.

Yingkai Yang, Chaoqi Chen, Hui Huang

CoRR, April, 2026

Back to Physics: Operator-Guided Generative Paths for SMS MRI Reconstruction.

Zhibo Chen, Yu Guan, Yajuan Huang, Chaoqi Chen, XiangJi, Qiuyun Fan, Dong Liang, Qiegen Liu

CoRR, February, 2026

TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction.

Yuxiang Zhong, Jun Wei, Chaoqi Chen, Senyou An, Hui Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score.

Yuxuan Yuan, Lichen Wei, Luyao Tang, Chaoqi Chen, Zheyuan Cai, Yue Huang, Xinghao Ding

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting.

Bin Pu, Siyu Wang, Rongbin Li, Xinpeng Ding, Lei Zhao, Chaoqi Chen, Shengli Li, Kenli Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

4D Point Cloud Segmentation via Active Test-Time Adaptation.

Mingrong Gong, Chaoqi Chen, Luyao Tang, Yuxi Wang, Sergio Escalera

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Turbid image restoration based on optimization via turbidity evaluator model.

Chaoqi Chen, Xiuzhan Zhang, Haosu Zhang, Jiancheng Liu, Hao Li

Signal Image Video Process., December, 2025

Generalized Category Discovery via Token Manifold Capacity Learning.

Luyao Tang, Kunze Huang, Chaoqi Chen, Cheng Chen

CoRR, May, 2025

Filling and Disentanglement: Toward Low- and High-Order Parallel Single-Domain Generalization for SAR Ship Detection.

Yuxuan Yuan, Luyao Tang, Ying Xu, Chuyang Lin, Chaoqi Chen, Yue Huang, Xinghao Ding

IEEE Trans. Aerosp. Electron. Syst., April, 2025

On the Homophily of Heterogeneous Graphs: Understanding and Unleashing.

Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun

CoRR, January, 2025

Activate and Adapt: A Two-Stage Framework for Open-Set Model Adaptation.

Xiasi Wang, Jiaqi Lin, Chaoqi Chen, Luyao Tang, Yi Huang, Chengsen Wang, Lei Ye, Yuan Yao

Trans. Mach. Learn. Res., 2025

ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching.

Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang, Xinghao Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction.

Luyao Tang, Kunze Huang, Chaoqi Chen, Yuxuan Yuan, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DIVE: Taming DINO for Subject-Driven Video Editing.

Yi Huang, Wei Xiong, He Zhang, Chaoqi Chen, Jianzhuang Liu, Mingfu Yan, Shifeng Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad.

Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Zeyu Zhang, Yue Huang, Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

On the Cross-type Homophily of Heterogeneous Graphs: Understanding and Unleashing.

Zhen Tao, Ziyue Qiao, Chaoqi Chen, Zhengyi Yang, Lun Du, Qingqiang Sun

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Out-of-Distribution Detection with Prototypical Outlier Proxy.

Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.

Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

WaveDM: Wavelet-Based Diffusion Models for Image Restoration.

Yi Huang, Jiancheng Huang, Jianzhuang Liu, Mingfu Yan, Yu Dong, Jiaxi Lv, Chaoqi Chen, Shifeng Chen

IEEE Trans. Multim., 2024

Multi-domain pseudo-reference quality evaluation for infrared and visible image fusion.

Xiangchao Meng, Chaoqi Chen, Qiang Liu, Feng Shao

IET Image Process., 2024

Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning.

Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Kunze Huang, Xinghao Ding, Yue Huang

CoRR, 2024

Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation.

Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang

CoRR, 2024

LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba.

Yunxiang Fu, Chaoqi Chen, Yizhou Yu

CoRR, 2024

DreamDA: Generative Data Augmentation with Diffusion Models.

Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu

CoRR, 2024

Progressive Conservative Adaptation for Evolving Target Domains.

Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu

CoRR, 2024

Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity.

Chaoqi Chen, Luyao Tang, Hui Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mixstyle-Entropy: Whole Process Domain Generalization with Causal Intervention and Perturbation.

Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang

Proceedings of the 35th British Machine Vision Conference, 2024

2023

A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis.

Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection.

Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection.

Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang

IEEE Trans. Medical Imaging, February, 2023

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis.

Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu

CoRR, 2023

CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation.

Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision.

Jiexiang Wang, Chaoqi Chen

Proceedings of the Information Processing in Medical Imaging, 2023

Domain Generalization via Implicit Domain Augmentation.

Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Towards Higher-order Topological Consistency for Unsupervised Network Alignment.

Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Activate and Reject: Towards Safe Domain Generalization under Category Shift.

Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.

Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.

Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.

Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Compound Domain Generalization via Meta-Knowledge Encoding.

Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images.

Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu

IEEE J. Biomed. Health Informatics, 2021

Hard class rectification for domain adaptation.

Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou

Knowl. Based Syst., 2021

AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata.

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

BMC Bioinform., 2021

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection.

Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors.

Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Multiple-source domain adaptation with generative adversarial nets.

Chaoqi Chen, Weiping Xie, Yi Wen, Yue Huang, Xinghao Ding

Knowl. Based Syst., 2020

Harmonizing Transferability and Discriminability for Adapting Object Detectors.

Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unsupervised Adversarial Graph Alignment with Graph Embedding.

Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang

CoRR, 2019

Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network.

Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Progressive Feature Alignment for Unsupervised Domain Adaptation.

Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation.

Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding

Proceedings of the Neural Information Processing - 25th International Conference, 2018