CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Bi-CRCL: Bidirectional Conservative-Radical Complementary Learning with Pre-trained Foundation Models for Class-incremental Medical Image Analysis

Random Anchors with Low-rank Decorrelated Learning: A Minimalist Pipeline for Class-Incremental Medical Image Classification

@inproceedings{raldl2026, title={Random Anchors with Low-rank Decorrelated Learning: A Minimalist Pipeline for Class-Incremental Medical Image Classification}, author={Wu, Xinyao and Xu, Zhe and Tong, Raymond Kai-yu}, booktitle={International Conference on Learning Representations (ICLR)}, year={2026} }

Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models

@inproceedings{wu2025crcl, title = {Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models}, author = {Wu*, Xinyao and Xu*, Zhe and Lu, Donghuan and Sun, Jinghan and Liu, Hong and Shakil, Sadia and Ma, Jiawei and Zheng, Yefeng and Tong, Raymond}, booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)}, year = {2025} }

Multi-Faceted Consistency learning with active cross-labeling for barely-supervised 3D medical image segmentation

@article{wu2025multi, title={Multi-Faceted Consistency learning with active cross-labeling for barely-supervised 3D medical image segmentation}, author={Wu, Xinyao and Xu, Zhe and Tong, Raymond Kai-yu}, journal={Medical Image Analysis}, pages={103744}, year={2025}, publisher={Elsevier} }

Continual learning in medical image analysis: A survey

@article{wu2024continual, title={Continual learning in medical image analysis: A survey}, author={Wu, Xinyao and Xu, Zhe and Tong, Raymond Kai-yu}, journal={Computers in Biology and Medicine}, volume={182}, pages={109206}, year={2024}, publisher={Elsevier} }

Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation

@inproceedings{wu2024few, title={Few slices suffice: Multi-faceted consistency learning with active cross-annotation for barely-supervised 3D medical image segmentation}, author={Wu, Xinyao and Xu, Zhe and Tong, Raymond Kai-yu}, booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages={286--296}, year={2024}, organization={Springer} }

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA

Teaching

Service and leadership

• Currently signed in to 43 different slack teams