I am pursuing my Ph.D. in Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). My primary research interests lie in computer vision, medical image analysis, and trustworthy artificial intelligence.

Prior to joining HKUST, I graduated from Northwestern Polytechnical University (NWPU) with honor, and obtained a Bachelor’s degree in Software Engineering from the School of Software and Microelectronics. Throughout my undergraduate studies, I was honored to receive several prestigious awards and recognitions, including the China National Scholarship.

πŸ”₯ News

  • 2024.01: Β πŸŽ‰πŸŽ‰ Our paper got accepted by Patterns and will be published soon!
  • 2023.12: Β πŸŽ‰πŸŽ‰ Our paper got accepted by AAAI 2024, see you in Vancouver!
  • 2023.11: Β πŸŽ‰πŸŽ‰ Our paper got accepted by Nature Medicine and will be published soon!
  • 2023.06: Β πŸŽ‰πŸŽ‰ I successfully passed my PhD qualifying examination, thanks to my advisor and all the committee members!
  • 2023.05: Β πŸŽ‰πŸŽ‰ Our two papers got accepted by MICCAI 2023 (one is early accepted), see you in Vancouver!
  • 2023.03: Β πŸŽ‰πŸŽ‰ Our paper got accepted by CVPR 2023, see you in Vancouver!
  • 2023.02: Β πŸŽ‰πŸŽ‰ Our paper was shortlisted by CSE Research and Technology Forum, happy to be a part of this great event!
  • 2022.07: Β πŸŽ‰πŸŽ‰ Glad to be selected for MICCAI Travel Award, thanks for the support!
  • 2022.05: Β πŸŽ‰πŸŽ‰ Our paper got early accepted by MICCAI 2022, see you in Singapore!
  • 2022.03: Β πŸŽ‰πŸŽ‰ Honored to be the person in charge of 2022/23 Technology Start-up Support Scheme for Universities (TSSSU). Thank you, Innovation and Technology Commission!
  • 2021.10: Β πŸŽ‰πŸŽ‰ Our paper got accepted by IEEE JSAC!

πŸ“ Selected Publications | [Full List] († indicates co-first author)

  • Haibo Jin†, Haoxuan Che†, Hao Chen. Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach. Pre-Print, 2024. | [Paper]
  • Bo Qian, Hao Chen, Xiangning Wang, Zhouyu Guan, Tingyao Li, Yilan Wu, Yang Wen, Haoxuan Che, …, Carol Y. Cheung, Weiping Jia, Huating Li, Yih Chung Tham, Tien Yin Wong, Bin Sheng. DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images. Patterns, 2024. (IF: 6.5) | [Paper] [Dataset]
  • Ling Dai, Bin Sheng, …, Haoxuan Che, Hao Chen, …, Dinggang Shen, Xiaokang Yang, Minyi Guo, Cuntai Zhang, Carol Y. Cheung, Gavin Siew Wei Tan, Yih-Chung Tham, Ching-Yu Cheng, Huating Li, Tien Yin Wong, Weiping Jia. A deep learning system for predicting time to progression of diabetic retinopathy. Nature Medicine, 2024. (IF: 87.244) | [Paper] [Code]
  • Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen. PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. The AAAI Conference on Artificial Intelligence (AAAI), 2024. (Acceptance rate: 23.75%) | [Paper] [Code]
  • Haibo Jin, Haoxuan Che, Hao Chen. Unsupervised Domain Adaptation for Anatomical Landmark Detection. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (Acceptance rate: 32.0%) | [Paper] [Code]
  • Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen. Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (Early accepted with rate of top 14%) | [Paper] [Code]
  • Haoxuan Che, Siyu Chen, Hao Chen. Image Quality-aware Diagnosis via Meta-knowledge Co-embedding. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (Acceptance rate: 25.78%) | [Paper] [Code]
  • Haoxuan Che, Haibo Jin, Hao Chen. Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (Early accepted with rate of top 13.6%, MICCAI Travel Award) | [Paper] [Code]
  • Peng Sun, Haoxuan Che, Zhibo Wang, Yuwei Wang, Tao Wang, Liantao Wu, and Huajie Shao. Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning. IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 12, pp. 3805-3820, 2021. (IF: 13.081) | [Paper]
  • Feiping Nie, Haoxuan Che, Hong Wang, Rong Wang, Zhongwei Yu, Xuelong Li. A kind of fast approximate k nearest neighbor method based on tree strategy with balance K mean cluster. CN Patent No. CN110070121A. Date of application: Apr. 15th, 2019, Date of granted: Aug. 10th, 2021, Date of expiration: Apr. 15th, 2039. | [Google Patent]
  • Yuandong Li, Haoxuan Che†, Xinyu Hou. Task-pricing Program of β€œPhoto Shoot Profit” Based on Game Theory. Chinese Journal of Engineering Mathematics, vol. 34, supp. 1, pp. 125-130, 2017.

πŸŽ– Selected Honors and Awards

  • The Honor of Outstanding Graduate at Northwestern Polytechnical University, Top 5% (2019.06)
  • The China National Scholarship, Top 2% (2016-2017, 2017-2018)
  • The First Prize in the National College Students Mathematics Modeling Competition, Top 0.88% (2017.11)
  • The Excellent Paper Award for the National College Students Mathematics Modeling Competition, 12/33062 (2017.11)
  • The First Prize and Application Innovation Award in the ASC17 Student Supercomputer Challenge, 1/230 (2017.04)

πŸ“– Educations

  • 2021.08 - 2023.12 (present), Ph.D. Candidate, School of Engineering, Hong Kong University of Science and Technology, Hong Kong SAR.
  • 2015.09 - 2019.06, Undergraduate, School of Software and Microelectronics, Northwestern Polytechnical University, Xi’an.
  • 2012.09 - 2015.06, Studet, Xi’an Qujiang No.1 Middle School, Xi’an.

πŸ’» Professional Service

  • Conference Program Committee Member:
    • AAAI Conference on Artificial Intelligence (AAAI) 2023, 2024
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
    • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024
  • Journal Reviewer:
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • IEEE Transactions on Image Processing (TIP)
  • Competition and Workshop Organization:

πŸ“š Teaching Experience

Course

  • COMP 3321 Fundamentals of Artificial Intelligence, Teaching Assisstant, 2023-2024 Fall Semester.
  • COMP 4421 Image Processing, Teaching Assisstant, 2022-2023 Fall Semester.
  • COMP 4451 Game Programming, Teaching Assisstant, 2021-2022 Spring Semester.

Mentee

  • 2023.02 - 2024.04 (present), Yifei Wu (M.S. @ NWPU)
  • 2022.06 - 2024.04 (present), Yuhan Cheng (UG @ HKUST)
  • 2023.07 - 2024.02, Lingqi Zeng (UG @ HKUST)
  • 2023.06 - 2024.02, Hoi-Tin Wong (UG @ HKUST)
  • 2021.11 - 2023.01, Siyu Chen (UG @ HKUST, next position: Ph.D. in HKUST)

πŸ’¬ Grants