Chaoqi Chen

According to our database, Chaoqi Chen authored at least 34 papers between 2018 and 2024.

Collaborative distances:

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

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

Out-of-Distribution Detection with Prototypical Outlier Proxy.

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

CoRR, 2024

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness.

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

CoRR, 2024

DIVE: Taming DINO for Subject-Driven Video Editing.

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

CoRR, 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

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