• [04/2024] I have successfully defended my PhD thesis!

• [09/2023] One paper accepted to NeurIPS 2023.

• [07/2023] One paper accepted to ICCV 2023.

• [09/2022] One paper accepted to NeurIPS 2022.

• [05/2022] One paper accepted to TPAMI.

• [03/2022] One paper accepted to CVPR 2022.

• [07/2021] One paper accepted to ICCV 2021.

• [03/2021] One paper accepted to CVPR 2021.

• [10/2020] I am invited to serve as a reviewer for CVPR 2021.

• [09/2020] I am invited to serve as a Programme Committee member of AAAI 2021.

• [04/2020] One paper accepted to Knowledge-Based Systems.

• [02/2020] One paper accepted to CVPR 2020.

Selected Publications

[Google Scholar]

• CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
  Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu.
  Advances in Neural Information Processing Systems (NeurIPS), 2023 (Spotlight).
  

• 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.
  IEEE International Conference on Computer Vision (ICCV), 2023.
  

• 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.
  Advances in Neural Information Processing Systems (NeurIPS), 2022 (Spotlight).
  

• 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
  

• Compound Domain Generalization via Meta-Knowledge Encoding
  Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  

• Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection
  Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Xinghao Ding, Yue Huang, Yizhou Yu.
  IEEE International Conference on Computer Vision (ICCV), 2021.
  

• I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
  Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Yizhou Yu.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  [paper] [code]

• Harmonizing Transferability and Discriminability for Adapting Object Detectors
  Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [paper] [code]

• Progressive Feature Alignment for Unsupervised Domain Adaptation
  Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  [paper] [code]

• 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
  

• 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
  

• Towards Higher-order Topological Consistency for Unsupervised Network Alignment
  Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen.
  IEEE International Conference on Data Engineering (ICDE), 2023.