Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. - Chaoqi Chen; Weiping Xie; Yue Huang 001; Xian Yu; Xinghao Ding (ICONIP (5), 2018)

Progressive Feature Alignment for Unsupervised Domain Adaptation. - Chaoqi Chen; Weiping Xie; Wenbing Huang 001; Yu Rong 001; Xinghao Ding; Yue Huang 001; Tingyang Xu; Junzhou Huang (CVPR, 2019)

Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. - Jiexiang Wang; Hongyu Huang; Chaoqi Chen; Wenao Ma; Yue Huang 001; Xinghao Ding (STACOM@MICCAI, 2019)

Unsupervised Adversarial Graph Alignment with Graph Embedding. - Chaoqi Chen; Weiping Xie; Tingyang Xu; Yu Rong 001; Wen-bing Huang 001; Xinghao Ding; Yue Huang 001; Junzhou Huang (CoRR, 2019)

Harmonizing Transferability and Discriminability for Adapting Object Detectors. - Chaoqi Chen; Zebiao Zheng; Xinghao Ding; Yue Huang 001; Qi Dou 001 (CVPR, 2020)

Multiple-source domain adaptation with generative adversarial nets. - Chaoqi Chen; Weiping Xie; Yi Wen 003; Yue Huang 001; Xinghao Ding (Knowl. Based Syst., 2020)

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. - Chaoqi Chen; Zebiao Zheng; Yue Huang 001; Xinghao Ding; Yizhou Yu (CVPR, 2021)

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. - Chaoqi Chen; Jiongcheng Li; Zebiao Zheng; Yue Huang 001; Xinghao Ding; Yizhou Yu (ICCV, 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 002; Katharine F. Knowlton; Kang Xia; Lenwood S. Heath (BMC Bioinform., 2021)

Hard class rectification for domain adaptation. - Yunlong Zhang; Changxing Jing; Huangxing Lin; Chaoqi Chen; Yue Huang 001; Xinghao Ding; Yang Zou 003 (Knowl. Based Syst., 2021)

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. - Qi Qi 005; Xin Lin; Chaoqi Chen; Weiping Xie; Yue Huang 001; Xinghao Ding; Xiaoqing Liu; Yizhou Yu (IEEE J. Biomed. Health Informatics, 2021)

Compound Domain Generalization via Meta-Knowledge Encoding. - Chaoqi Chen; Jiongcheng Li; Xiaoguang Han 001; Xiaoqing Liu; Yizhou Yu (CVPR, 2022)

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. - Chaoqi Chen; Luyao Tang; Feng Liu 036; Gangming Zhao; Yue Huang 001; Yizhou Yu (NeurIPS, 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 001; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Activate and Reject: Towards Safe Domain Generalization under Category Shift. - Chaoqi Chen; Luyao Tang; Leitian Tao; Hong-Yu Zhou; Yue Huang 001; Xiaoguang Han 001; Yizhou Yu (ICCV, 2023)

Towards Higher-order Topological Consistency for Unsupervised Network Alignment. - Qingqiang Sun; Xuemin Lin 001; Ying Zhang 001; Wenjie Zhang 001; Chaoqi Chen (ICDE, 2023)

Domain Generalization via Implicit Domain Augmentation. - Zhijie Rao; Qi Dong; Chaoqi Chen; Yue Huang 001; Xinghao Ding (ICONIP (8), 2023)

Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision. - Jiexiang Wang; Chaoqi Chen (IPMI, 2023)

CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. - Chaoqi Chen; Luyao Tang; Yue Huang 001; Xiaoguang Han 001; Yizhou Yu (NeurIPS, 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)

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, 2023)

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. - Chaoqi Chen; Jiongcheng Li; Hong-Yu Zhou; Xiaoguang Han 001; Yue Huang 001; Xinghao Ding; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 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., 2023)

Mixstyle-Entropy: Whole Process Domain Generalization with Causal Intervention and Perturbation. - Luyao Tang; Yuxuan Yuan; Chaoqi Chen; Xinghao Ding; Yue Huang 001 (BMVC, 2024)

Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity. - Chaoqi Chen; Luyao Tang; Hui Huang (NeurIPS, 2024)

Progressive Conservative Adaptation for Evolving Target Domains. - Gangming Zhao; Chaoqi Chen; Wenhao He; Chengwei Pan; Chaowei Fang; Jinpeng Li 002; Xilin Chen 001; Yizhou Yu (CoRR, 2024)

DreamDA: Generative Data Augmentation with Diffusion Models. - Yunxiang Fu; Chaoqi Chen; Yu Qiao; Yizhou Yu (CoRR, 2024)

LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba. - Yunxiang Fu; Chaoqi Chen; Yizhou Yu (CoRR, 2024)

Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation. - Luyao Tang; Yuxuan Yuan; Chaoqi Chen; Xinghao Ding; Yue Huang 001 (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 001 (CoRR, 2024)

DIVE: Taming DINO for Subject-Driven Video Editing. - Yi Huang 035; Wei Xiong 008; He Zhang 004; Chaoqi Chen; Jianzhuang Liu; Mingfu Yan; Shifeng Chen (CoRR, 2024)

Multi-domain pseudo-reference quality evaluation for infrared and visible image fusion. - Xiangchao Meng; Chaoqi Chen; Qiang Liu 035; Feng Shao 001 (IET Image Process., 2024)

WaveDM: Wavelet-Based Diffusion Models for Image Restoration. - Yi Huang 035; Jiancheng Huang; Jianzhuang Liu; Mingfu Yan; Yu Dong; Jiaxi Lv; Chaoqi Chen; Shifeng Chen (IEEE Trans. Multim., 2024)

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. - Chaoqi Chen; Yushuang Wu; Qiyuan Dai 001; Hong-Yu Zhou; Mutian Xu; Sibei Yang; Xiaoguang Han 001; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Out-of-Distribution Detection with Prototypical Outlier Proxy. - Mingrong Gong; Chaoqi Chen; Qingqiang Sun; Yue Wang; Hui Huang (AAAI, 2025)

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness. - Qingqiang Sun; Chaoqi Chen; Ziyue Qiao; Xubin Zheng; Kai Wang (AAAI, 2025)

OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad. - Luyao Tang; Yuxuan Yuan; Chaoqi Chen; Zeyu Zhang; Yue Huang 001; Kun Zhang (CVPR, 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)

On the Homophily of Heterogeneous Graphs: Understanding and Unleashing. - Zhen Tao; Ziyue Qiao; Chaoqi Chen; Zhengyi Yang 001; Lun Du; Qingqiang Sun (CoRR, 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 001; Xinghao Ding (IEEE Trans. Aerosp. Electron. Syst., 2025)

Generalized Category Discovery via Token Manifold Capacity Learning. - Luyao Tang; Kunze Huang; Chaoqi Chen; Cheng Chen (CoRR, 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 001 (CoRR, 2025)