Zikang Xu

Zikang Xu

Specially Appointed Associate Researcher

Institute of Artificial Intelligence, Hefei Comprehensive National Science Center

Research Interests

Algorithm Fairness in Medical Image Analysis
AI-driven Analysis of Major Neurological Disorders

About

I am a Specially Appointed Associate Researcher at the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, where I also serve as a postdoctoral researcher jointly supervised by Prof. Wenjie Feng (School of AI and Data Science, USTC) and Prof. Jiahong Gao (Peking University).

I received my Ph.D. in 2025 from the School of Biomedical Engineering, USTC, under the supervision of Prof. S. Kevin Zhou. Prior to that, I earned my B.Eng. and M.Eng. from SEU in 2018 and 2021, supervised by Prof. Zhongze Gu.

My research interests lie at the intersection of algorithm fairness in medical image analysis and AI-driven analysis of major neurological disorders.

News

2026.05

One paper accepted by MICCAI-26 (Early Accepted).

2025.11

I am selected to join the first Young Editorial Board of EngMedicine.

2025.11

One paper accepted by AAAI-26 (Oral).

2025.10

One paper accepted by IEEE BIBM-25 (Oral).

2025.07

I start my work as a specially appointed associate researcher and postdoc at IAI, Hefei Comprehensive National Science Center.

2025.05

The moment I've been working toward for years — I just aced my Ph.D. defense!

2025.04

One paper accepted by npj Digital Medicine.

2025.03

One paper accepted by MIDL-25 (Oral).

2025.01

One paper accepted by Medical Image Analysis.

2024.10

One paper accepted by npj Digital Medicine.

2024.09

One paper accepted by NeurIPS-24.

2024.05

One paper accepted by MICCAI-24 (Early Accepted).

2024.02

One paper accepted by MIDL-24 (Oral).

2024.02

One paper accepted by MIDL-24.

2023.05

One paper accepted by MICCAI-23.

Selected Publications

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DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents

Zikang Xu, Ruinan Jin, Xiaoxiao Li

Medical Image Computing and Computer Assisted Intervention (MICCAI)

Early Accepted

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou

npj Digital Medicine

FAIR-ESI: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging

Linyong Zou, Liang Zhang, Xiongfei Wang, Jia-Hong Gao, Yi Sun, Shurong Sheng, Kuntao Xiao, Wanli Yang, Pengfei Teng, Guoming Luan, Zhao Lv, Zikang Xu

IEEE BIBM

Oral

Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review

Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, S. Kevin Zhou

npj Digital Medicine

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models

Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li

Advances in Neural Information Processing Systems (NeurIPS)