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2020 – today
- 2025
[j3]Qiyuan Wang, Shang Zhao
, Zikang Xu, S. Kevin Zhou:
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation. Medical Image Anal. 99: 103387 (2025)- 2024
- [j2]Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, S. Kevin Zhou:
Addressing fairness issues in deep learning-based medical image analysis: a systematic review. npj Digit. Medicine 7(1) (2024) - [j1]Xiang Yang, Zikang Xu, Qi Qi, Jingyu Wang, Haifeng Sun, Jianxin Liao, Song Guo:
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices. IEEE Trans. Mob. Comput. 23(4): 2712-2730 (2024) - [c5]Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou:
SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection. MICCAI (1) 2024: 338-348 - [c4]Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li:
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. NeurIPS 2024 - [c3]Ronglong Wu, Shuyue Zhou, Jiahao Lu, Zhirong Shen, Zikang Xu, Jiwu Shu, Kunlin Yang, Feilong Lin, Yiming Zhang:
Removing Obstacles before Breaking Through the Memory Wall: A Close Look at HBM Errors in the Field. USENIX ATC 2024: 851-867 - [i8]Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou:
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation. CoRR abs/2403.05114 (2024) - [i7]Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li:
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. CoRR abs/2407.00983 (2024) - [i6]Qiyuan Wang, Shang Zhao, Zikang Xu, S. Kevin Zhou:
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation. CoRR abs/2409.09360 (2024) - 2023
- [c2]Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou:
FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification. MICCAI (2) 2023: 307-317 - [i5]Zikang Xu, Shang Zhao, Quan Quan, Qingsong Yao, S. Kevin Zhou:
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification. CoRR abs/2303.08325 (2023) - [i4]Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou:
Slide-SAM: Medical SAM Meets Sliding Window. CoRR abs/2311.10121 (2023) - [i3]Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou:
Inspecting Model Fairness in Ultrasound Segmentation Tasks. CoRR abs/2312.02501 (2023) - 2022
- [i2]Xiang Yang, Zikang Xu, Qi Qi, Jingyu Wang, Haifeng Sun, Jianxin Liao, Song Guo:
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices. CoRR abs/2206.08662 (2022) - [i1]Zikang Xu, Jun Li, Qingsong Yao, Han Li, Xin Shi, S. Kevin Zhou:
A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges. CoRR abs/2209.13177 (2022) - 2021
- [c1]Jiaqi Zhao, Zhijie Jia, Yong Zhou, Ruihao Zhang, Zeming Xie, Zikang Xu, Yuxin Li, Di Zhang:
Path Planning based on Multi-objective Topological Map. CEC 2021: 1719-1726
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