A computer-assisted instructional method based on machine learning in software testing class. - Wei Zheng 006; Yutong Bai; Haoxuan Che (Comput. Appl. Eng. Educ., 2018)

Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning. - Peng Sun 003; Haoxuan Che; Zhibo Wang 001; Yuwei Wang 001; Tao Wang; Liantao Wu; Huajie Shao (IEEE J. Sel. Areas Commun., 2021)

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement. - Haoxuan Che; Haibo Jin; Hao Chen 011 (MICCAI (3), 2022)

Image Quality-aware Diagnosis via Meta-knowledge Co-embedding. - Haoxuan Che; Siyu Chen; Hao Chen 011 (CVPR, 2023)

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains. - Haoxuan Che; Yuhan Cheng; Haibo Jin; Hao Chen 011 (MICCAI (5), 2023)

Unsupervised Domain Adaptation for Anatomical Landmark Detection. - Haibo Jin; Haoxuan Che; Hao Chen 011 (MICCAI (1), 2023)

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. - Bo Qian; Hao Chen 011; Xiangning Wang; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; Seoyoung Shin; Felix Krause 002; Markus Unterdechler; Junlin Hou; Rui Feng 001; et al. (CoRR, 2023)

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. - Haibo Jin; Haoxuan Che; Yi Lin 009; Hao Chen 011 (AAAI, 2024)

Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification. - Yuanhang Zheng; Yiqiao Qiu; Haoxuan Che; Hao Chen 011; Wei-Shi Zheng 001; Ruixuan Wang (MICCAI (10), 2024)

Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach. - Haibo Jin; Haoxuan Che; Hao Chen 011 (IEEE Trans. Image Process., 2024)

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images. - Bo Qian; Hao Chen 011; Xiangning Wang; Zhouyu Guan; Tingyao Li; Yixiao Jin; Yilan Wu; Yang Wen; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; et al. (Patterns, 2024)

GameGen-X: Interactive Open-world Game Video Generation. - Haoxuan Che; Xuanhua He; Quande Liu; Cheng Jin 003; Hao Chen 011 (ICLR, 2025)

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis. - Haoxuan Che; Yifei Wu; Haibo Jin; Yong Xia; Hao Chen 011 (CoRR, 2025)

Position: Interactive Generative Video as Next-Generation Game Engine. - Jiwen Yu; Yiran Qin; Haoxuan Che; Quande Liu; Xintao Wang 004; Pengfei Wan 001; Di Zhang; Xihui Liu (CoRR, 2025)

A Survey of Interactive Generative Video. - Jiwen Yu; Yiran Qin; Haoxuan Che; Quande Liu; Xintao Wang 002; Pengfei Wan 001; Di Zhang; Kun Gai; Hao Chen 011; Xihui Liu (CoRR, 2025)

Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN. - Weiwen Zhang; Dawei Yang; Haoxuan Che; An-ran Ran; Carol Y. Cheung; Hao Chen 011 (IEEE J. Biomed. Health Informatics, 2025)

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning. - Haoxuan Che; Haibo Jin; Zhengrui Guo; Yi Lin 009; Cheng Jin 003; Hao Chen 011 (CoRR, 2025)

A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation. - Haibo Jin; Haoxuan Che; Sunan He; Hao Chen 011 (CoRR, 2025)