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
- REMA: Learning to Meta-Think for LLMS with Multi-Agent Reinforcement Learning- Wan, Z., LI, Y., Wen, X., Song, Y., Wang, H., Yang, L., Schmidt, M., Wang, J., Zhang, W., Hu, S., & Wen, Y. (2025). REMA: Learning to Meta-Think for LLMS with Multi-Agent Reinforcement Learning. Advances in Neural Information Processing Systems (NeurIPS). 
- Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models- Yan, X., Song, Y., Cui, X., Christianos, F., Zhang, H., Mguni, D. H., & Wang, J. (2025). Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). 
- Efficient Reinforcement Learning with Large Language Model Priors- Yan, X., Song, Y., Feng, X., Yang, M., Zhang, H., Bou Ammar, H., & Wang, J. (2025). Efficient Reinforcement Learning with Large Language Model Priors. International Conference on Learning Representations (ICLR). 
- Natural Language Reinforcement Learning- Feng, X., Liu, B., Song, Y., Fu, H., Wan, Z., Koushik, G. A., Hu, Z., Yang, M., Wen, Y., & Wang, J. (2024). Natural Language Reinforcement Learning. arXiv preprint arXiv:2411.14251. 
- TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning- Mi, Q., Xia, S., Song, Y., Zhang, H., Zhu, S., & Wang, J. (2024). TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning. Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). 
Talks
- Conference Proceeding talk 3 on Relevant Topic in Your Field- Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA 
- Talk 2 on Relevant Topic in Your Field- Talk at London School of Testing, London, UK 
- Tutorial 1 on Relevant Topic in Your Field- Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA 
- Talk 1 on Relevant Topic in Your Field- Talk at UC San Francisco, Department of Testing, San Francisco, California 
Teaching
Service and leadership
- Currently signed in to 43 different slack teams
