I am a Senior Applied Scientist at Amazon, leading machine learning initiatives in product compliance detection. I bring deep expertise in building scalable ML systems that solve complex business problems and deliver measurable results.
I operate a family and local business in construction in the Bay Area, giving me a unique dual lens into both technology and hands-on business operations.
With a proven ability to lead cross-functional efforts, balance competing priorities, and drive high-impact outcomes, I consistently deliver with clarity, accountability, and trust. My strength lies in bridging strategy and execution—whether in tech or business.
News
[2024] Promoted to Senior Applied Scientist at Amazon
[2023] Co-founded a local family business specializing in construction and residential real estate investment
[2022] Thrilled to join Amazon and relocate to the Bay Area, CA
[2021] Research published in Nature Communications, CVPR, TNNLS, AAAI, MICCAI, ICRA, IROS, and IPMI
[2020] Papers accepted at ICRA, MICCAI, IROS, and Frontiers in Medicine
[2020] Joined PAII Inc. — excited for a new chapter!
[2019] Research accepted by MICCAI, ICRA, and two papers in IEEE RAL
[2018] Publications in Medical Image Analysis (MedIA), IROS, and IEEE RAL
[2017] Paper accepted at IJCAR
[2016] First academic paper published at ICRA
Selected Publications
Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
Hsieh Chen-I, Kang Zheng, Chihung Lin, Ling Mei, Le Lu, Weijian Li, Fang-Ping, Chen, Yirui Wang, Xiao-Yun Zhou, Fakai Wang and others Nature Communication, 2021
Adversarial invariant learning
Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li CVPR, 2021
An Annealing Mechanism for Adversarial Training Acceleration
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, and Zhanxing Zhu TNNLS, 2021
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution
Ruoxi Wang, Dandan Zhang, Qingbiao Li, Xiao-Yun Zhou, and Benny Lo ICRA, 2021
VeniBot: Towards Autonomous Venipuncture with Semi-supervised Vein Segmentation from Ultrasound Images
Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, and Peng Qi IROS, 2021
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang and others MICCAI, 2021
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Yirui Wang, Kang Zheng, Chi Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, ChienHung Liao, Shun Miao IPMI, 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration
Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu AAAI, 2021
Instantiation-Net: 3D RV mesh instantiation from a single 2D MRI projection
Zhao-Yang Wang*, Xiao-Yun Zhou*, Peichao Li, Guang-Zhong Yang MICCAI, 2020 arxiv
Z-Net: an asymmetric 3D DCNN for medical CT volume segmentation
Peichao Li*, Xiao-Yun Zhou*, Zhao-Yang Wang, Guang-Zhong Yang IROS, 2020 arxiv
ACNN: a full resolution DCNN for medical image segmentation Xiao-Yun Zhou*, Jian-Qing Zheng*, Peichao Li, Guang-Zhong Yang ICRA, 2020 pdf
Artificial intelligence for surgery Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang Frontier of Medicine, 2020
One-stage shape instantiation from a single 2D image to 3D point cloud Xiao-Yun Zhou*, Zhao-Yang Wang*, Peichao Li, Jian-Qing Zheng, Guang-Zhong Yang MICCAI, 2019
Normalization in training U-Net for 2D biomedical semantic segmentation Xiao-Yun Zhou, Guang-Zhong Yang RAL, 2019
Real-time 3D shape instantiation of partially-deployed stent segment from a single 2D fluoroscopic image for fenestrated endovascular aortic repair
Jian-Qing Zheng*, Xiao-Yun Zhou*, Celia Riga, Guang-Zhong Yang RAL, 2019
U-Net training with Instance-Layer Normalization Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang MICCAI MMMI workshop, 2019
Towards 3D path planning from a single 2D fluoroscopic image for robot assisted fenestrated endovascular aortic repair
Jian-Qing Zheng, Xiao-Yun Zhou, Celia Riga, Guang-Zhong Yang ICRA, 2019
A real-time and registration-free framework for dynamic shape instantiation Xiao-Yun Zhou, Guang-Zhong Yang MedIA, 2018
Towards automatic 3D shape instantiation for deployed stent grafts: 2D multiple-class and class-imbalance marker segmentation with equally-weighted focal U-Net Xiao-Yun Zhou, Celia Riga, Su-Lin Lee, Guang-Zhong Yang IROS, 2018
Real-time 3D shape instantiation from single fluoroscopy projection for fenestrated stent graft deployment Xiao-Yun Zhou, Jianyu Lin, Celia Riga, Guang-Zhong Yang RAL, 2018
An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning
Yingjing Feng, Ziyan Guo, Ziyang Dong, Xiao-Yun Zhou, Ka-Wai Kwok, Sabine Ernst, Su-Lin Lee IJCARS, 2017
Stent graft shape instantiation for fenestrated endovascular aortic repair Xiao-Yun Zhou, Celia Riga, Guang-Zhong Yang, Su-Lin Lee The Hamlyn Symposium on Medical Robotics, 2017
Path planning for robot-enhanced cardiac radiofrequency catheter ablation Xiao-Yun Zhou, Sabine Ernst, Su-Lin Lee ICRA, 2016
Reviewer
International Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Medical Imaging (TMI)
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
International Conference on Robotics and Automation (ICRA)
International Conference on Intelligent Robots and Systems (IROS)
