Zhicheng Zhang Research Fellow Heji Building, Guangzhou, China Email: zc.zhang@jancsitech.com / zhangzhicheng13@mails.ucas.edu.cn

Biography

I am the Chief Scientist in JancsiTech. Before that, I was a research fellow in ByteDance and a postdoctoral research fellow in Stanford University, working with Prof. Lei Xing. I obtained my Ph.D. degree in the Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, University of Chinese Academy of Sciences, supervised by Prof. Yaoqin Xie in June 2019. I was also a visiting scholar in Virginia Tech from 01/2017 to 01/2018. Previously, I received the B.S. from Department of Biomedical Engineering, Zhongshan School of Medicine in Sun Yat-Sen University in 2010.I am dedicated to develop advanced machine-learning based algorithms on medical imaging and medical image analysis, with a primary focus on medical images.

News

Selected Publications [Google Scholar]

• SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images
  W Ji, J Li, C Bian, Z Zhang, Z Zhang#, L Cheng ACM MM, 2023.
  

• Federated Multi-organ Dynamic Attention Segmentation Network with Small CT Dataset
  L Li, Y Tang, Y Zhang, Z Li, G Zhou, H Zhou, Z Zhang# International Workshop on Computational Mathematics Modeling in Cancer Analysis, 2023.
  

• Label-Efficient Cross-Resolution Polyp Segmentation in Colonoscopy
  X Shi, Y Zhang, L Li, Y Tang, Z Li, Z Zhang# International Workshop on Computational Mathematics Modeling in Cancer Analysis, 2023.
  

• Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
  Yuming Jiang*, Zhicheng Zhang*, et al.
  Nature Communications, 2023.
  

• GraphSKT: Graph-guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection
  Chen, C., Wang, J., Pan, J., Bian, C., & , Zhang Z.# TMI, 2022, Accepted.
  

• ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification
  Z Yang, J Pan, Y Yang, X Shi, HY Zhou, Z. Zhang#, C Bian MICCAI, 2022.
  

• Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding
  Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang CVPRW, 2022, Accepted.
  

• Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer using multi-task deep learning: a retrospective study
  Yuming Jiang*, Zhicheng Zhang*, et al. The Lancet Digital Health, 2022, Accepted.
  

• Self-supervised CT Super-Resolution with Hybrid Model
  Zhicheng Zhang, Xiaokun Liang, Wei Zhao, Lei Xing Computers in Biology and Medicine, (CBM) 2021, Accepted.
  

• Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
  Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing. Physics in Medicine and Biology , (PMB) 2021, Accepted.
  

• ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning
  Garvit Goel, Atharva Gondhalekar, Jingyuan Qi, Zhicheng Zhang, Guohua Cao, Wu Feng. International Conference on Parallel Processing, (ICPP) 2021, Accepted.
  

• Noise2Context: Context-assisted Learning 3D Thin-layer for Low Dose CT
  Zhicheng Zhang, Xiaokun Liang, Wei Zhao, Lei Xing.
  Medical Physics (Med. Phys.), 2021, Accepted.
  

• Incorporating the Hybrid Deformable Model for Improving the Performance of Abdominal CT Segmentation via Multi-Scale Feature Fusion Network
  Xiaokun Liang, Na Li, Zhicheng Zhang, Jing Xiong, Shoujun Zhou, Yaoqin Xie.
  Meidical Image Analysis (MIA), 2021, Accepted.
  

• TransCT: Dual-path Transformer for Low Dose Computed Tomography
  Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing.
  Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021, Accepted.
  

• Modularized data-driven reconstruction framework for nonideal focal spot effect elimination in computed tomography
  Zhicheng Zhang, Lequan Yu, Wei Zhao, Lei Xing.
  Medical Physics (Med. Phys.), 2021.
  

• Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images
  Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing.
  IEEE Transactions on Medical Imaging (TMI), 2021.
  

• Iterative stripe artifact correction framework for TOF-MRA
  Na Li, Shoujun Zhou, Gang Zhao, Zhicheng Zhang, Yaoqin Xie, Xiaokun Liang.
  Computers in Biology and Medicine (CBM), 2021.
  

• Spatial Resolution Improvement with Unsupervised Estimation of Non-Ideal Focal Spot Effect for Computed Tomography
  Zhicheng Zhang, Xiaomeng Li, Lequan Yu, Xiaokun Liang, Lei Xing.
  The American Association of Physicists in Medicine (AAPM), 2020.
  

• matFR: a matlab toolbox for feature ranking
  Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Shaode Yu, Yaoqin Xie.
  Bioinformatics , 2020.
  

• Scatter correction for a clinical cone‐beam CT system using an optimized stationary beam blocker in a single scan
  Xiaokun Liang, Yangkang Jiang, Wei Zhao, Zhicheng Zhang, Chen Luo, Jing Xiong, Shaode Yu, Xiaoming Yang, Jihong Sun, Qinxuan Zhou, Tianye Niu, Yaoqin Xie.
  Medical Physics (Med. Phys.), 2019.
  

• Shading correction for volumetric CT using deep convolutional neural network and adaptive filter
  Xiaokun Liang, Na Li, Zhicheng Zhang, Shaode Yu, Wenjian Qin, Yafen Li, Shupeng Chen, Huailing Zhang, Yaoqin Xie.
  Quantitative imaging in medicine and surgery (QIMS), 2019.
  

• A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis
  Xiaokun Liang, Na Li, Zhicheng Zhang, Shaode Yu, Wenjian Qin, Yafen Li, Shupeng Chen, Huailing Zhang, Yaoqin Xie.
  Computational and mathematical methods in medicine, 2019.
  

• An Accurate Estimation of T2* Mapping for Fast Magnetic Resonance Imaging
  Jie Yang, Zhicheng Zhang, Yanchun Zhu, Yaoqin Xie.
  Association for Computing Machinery, 2019.
  

• A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution
  Zhicheng Zhang, Xiaokun Liang, Xu Dong, Yaoqin Xie, Guohua Cao.
  IEEE Transactions on Medical Imaging (TMI), 2018.
  

• Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment
  Zhicheng Zhang, Guangzhe Dai, Xiaokun Liang, Shaode Yu, Leida Li, Yaoqin Xie.
  IEEE Access , 2018.
  

• Iterative image-domain ring artifact removal in cone-beam CT
  Xiaokun Liang, Zhicheng Zhang, Tianye Niu, Shaode Yu, Shibin Wu, Zhicheng Li, Huailing Zhang, Yaoqin Xie.
  Physics in Medicine & Biology (PMB), 2017.
  

• A novel design of ultrafast micro-CT system based on carbon nanotube: a feasibility study in phantom
  Zhicheng Zhang, Shaode Yu, Xiaokun Liang, Yanchun Zhu, Yaoqin Xie.
  Physica Medica, 2016.
  

Experience

• Stanford University, Palo Alto, California, USA
  Nov. 2019 – Oct. 2021
  
  Postdoctoral Research Fellow
  Advisor: Prof. Lei Xing
  
• Virginia Tech, Blackburg, VA, USA
  Jan. 2017 – Feb. 2018
  
  Visiting Scholar
  Advisor: Prof. Guohua Cao
  

Honors & Awards

Professional Activities