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
Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction
Zhang, K., Yi, Z., Guo, S., Kong, L., Wang, S., Zhan, X., ... & Chen, J. (2026). Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction. arXiv preprint arXiv:2601.09921.
Quantum Design Automation: Foundations, Challenges, and the Road Ahead
Wu, F., Guo, J., Xia, T., Kong, L., Zhang, F., Wang, Z., ... & Chen, J. (2025). Quantum Design Automation: Foundations, Challenges, and the Road Ahead. arXiv preprint arXiv:2511.10479.
LATTE: A Decoding Architecture for Quantum Computing with Temporal and Spatial Scalability
Zhang, K., Xu, J., Zhang, F., Kong, L., Ji, Z., & Chen, J. (2025). LATTE: A Decoding Architecture for Quantum Computing with Temporal and Spatial Scalability. arXiv preprint arXiv:2509.03954.
GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold
Wang, G., Zhang, J., Zhang, K., Huang, R., & Fang, L. (2023). Giganticnvs: Gigapixel large-scale neural rendering with implicit meta-deformed manifold. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1), 338-353.
Talks
Teaching
Service and leadership
- Currently signed in to 43 different slack teams