Haoxuan Che

According to our database, Haoxuan Che authored at least 26 papers between 2018 and 2026.

Collaborative distances:

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

2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia

CoRR, April, 2026

HyperGVL: Benchmarking and Improving Large Vision-Language Models in Hypergraph Understanding and Reasoning.

Yanbin Wei, Chun Kang, Siwei Li, Haoxuan Che, Yang Chen, Hua Liu, Jian Liu, Zhuang Liu, Can Ouyang, Fei Xing, Lei Sha, Rui Liu, Yu Zhang, James T. Kwok

CoRR, April, 2026

InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation.

Zhefan Rao, Bin Zou, Haoxuan Che, Xuanhua He, Chong Hou Choi, Yanheng Li, Rui Liu, Qifeng Chen

CoRR, April, 2026

SvfEye: A Semantic-Visual Fusion Framework with Multi-Scale Visual Context for Multimodal Reasoning.

Yuxiang Shen, Hailong Huang, Zhenkun Gao, Xueheng Li, Man Zhou, Chengjun Xie, Haoxuan Che, Xuanhua He, Jie Zhang

CoRR, March, 2026

LLM-Driven Medical Report Generation via Communication-Efficient Heterogeneous Federated Learning.

Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen

IEEE Trans. Medical Imaging, January, 2026

MMMamba: A Versatile Cross-Modal in Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement.

Yingying Wang, Xuanhua He, Chen Wu, Jialing Huang, Suiyun Zhang, Rui Liu, Xinghao Ding, Haoxuan Che

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.

Haibo Jin, Haoxuan Che, Sunan He, Hao Chen

IEEE Trans. Medical Imaging, December, 2025

FedDAG: Federated Domain Adversarial Generation Toward Generalizable Medical Image Analysis.

Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen

IEEE Trans. Medical Imaging, December, 2025

VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis.

Meng Chu, Senqiao Yang, Haoxuan Che, Suiyun Zhang, Xichen Zhang, Shaozuo Yu, Haokun Gui, Zhefan Rao, Dandan Tu, Rui Liu, Jiaya Jia

CoRR, December, 2025

LoVoRA: Text-guided and Mask-free Video Object Removal and Addition with Learnable Object-aware Localization.

Zhihan Xiao, Lin Liu, Yixin Gao, Xiaopeng Zhang, Haoxuan Che, Songping Mai, Qi Tian

CoRR, December, 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

IEEE J. Biomed. Health Informatics, April, 2025

A Survey of Interactive Generative Video.

Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Hao Chen, Xihui Liu

CoRR, April, 2025

Position: Interactive Generative Video as Next-Generation Game Engine.

Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu

CoRR, March, 2025

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.

Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen

CoRR, January, 2025

GameGen-X: Interactive Open-world Game Video Generation.

Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.

Bo Qian, Hao Chen, Xiangning Wang, Zhouyu Guan, Tingyao Li, Yixiao Jin, Yilan Wu, Yang Wen, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Dawei Yang, Bin Sheng

Patterns, March, 2024

Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach.

Haibo Jin, Haoxuan Che, Hao Chen

IEEE Trans. Image Process., 2024

Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification.

Yuanhang Zheng, Yiqiao Qiu, Haoxuan Che, Hao Chen, Wei-Shi Zheng, Ruixuan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.

Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.

Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Qiang Wu, Ping Zhang, Xiaokang Yang, Yiyu Cai, Weiping Jia, Huating Li, Bin Sheng

CoRR, 2023

Unsupervised Domain Adaptation for Anatomical Landmark Detection.

Haibo Jin, Haoxuan Che, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains.

Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Image Quality-aware Diagnosis via Meta-knowledge Co-embedding.

Haoxuan Che, Siyu Chen, Hao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.

Haoxuan Che, Haibo Jin, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning.

Peng Sun, Haoxuan Che, Zhibo Wang, Yuwei Wang, Tao Wang, Liantao Wu, Huajie Shao

IEEE J. Sel. Areas Commun., 2021

2018

A computer-assisted instructional method based on machine learning in software testing class.

Wei Zheng, Yutong Bai, Haoxuan Che

Comput. Appl. Eng. Educ., 2018