Hi there! My name is Zhongyan Luo. Currently, I am a first-year Master’s student in Machine Learning at Carnegie Mellon University (CMU). I received my B.S. in Data Science from the University of California, San Diego (UCSD).
My research interests include AI Agents, AI Infra, and Scalable Machine Learning. Previously, I interned at Teradata as an AI Engineer and focused on Learning Agent (self-evolving in production traffic). Earlier, I interned at Transwarp and focused on AI Infra. I was a Research Assistant at UCSD MixLab, working on Auto Research, Inference Acceleration and AI Personalization, advised by Prof. Zhiting Hu, Prof. Hao Zhang, and Prof. Zhen Wang.
Looking for 2027 Summer Internship Opportunity!
🔥 News
- 2026.03: 🎉🎉 Paper “FIRE-Bench” accepted to ICML 2026.
- 2025.11: 🎉🎉 Paper “DeepPersona” accepted as Spotlight at NeurIPS 2025 LAW Workshop.
- 2025.01: 🎉🎉 Paper “Exploration and practice of human-machine trustworthy mechanism in XAI” published on Big Data Research.
📝 Publications
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FIRE-Bench: Evaluating Research Agents on the Rediscovery of Scientific Insights (ICML 2026) Zhen Wang*, Fan Bai*, Zhongyan Luo*, Jinyan Su, Kaiser Sun, Weiqi Liu, Albert Chen, Jieyuan Liu, Kun Zhou, Claire Cardie, Mark Dredze, Eric P. Xing, Zhiting Hu
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Exploration and practice of human-machine trustworthy mechanism in XAI (Big Data Research 2025) Zhongyan Luo, Zhengxun Xia, Jianfei Tang, Yifan Yang, Hongshan Yang, Haohua Li, Yan Zhang
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DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas (NeurIPS 2025 LAW Spotlight) Zhen Wang*, Yufan Zhou*, Zhongyan Luo, Lyumanshan Ye, Adam Wood, Man Yao, Saab Mansour, Luoshang Pan
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Paper Agent Network: Literature-Grounded Multi-Agent Program Discovery (In Submission) Xinle Yu, Enze Ma, Zhongyan Luo, Tianchun Wang, Shuaichen Chang, Zhen Wang
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PrimeScientist: Strategic Allocation of Research Effort in Autonomous Research (In Submission) Xinle Yu, Fan Bai, Kaiser Sun, Hengshuo Miao, Abhay Anand, Zhongyan Luo, Kun Zhou, Zhen Wang
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LOCALE: Ego-Graph Orientation with Non-Collider Constraints for LLM-Assisted Causal Discovery (In Submission) Zhaoxiang Feng, Zhongyan Luo, Mingyang Yao
- (Patent) SQL generation method, device, equipment and medium based on background knowledge enhancement
- (Patent) Question answering method and apparatus based on large language model, electronic device, and storage medium
- (Patent) Information classification method, device, equipment and storage medium
- (Patent) Method and device for query processing of label data, computer equipment and medium
📖 Educations
- 2026.09 - 2028.06, M.S. in Machine Learning, Carnegie Mellon University (CMU), Pittsburgh, PA
- 2024.09 - 2026.06, B.S. in Data Science, University of California, San Diego (UCSD), San Diego, CA
- 2022.09 - 2024.06, B.S. in Data Science, University of California, Santa Barbara (UCSB), Santa Barbara, CA
💻 Experience
- 2026.06 - 2026.08, AI Engineer Intern, Teradata
- 2025.04 - 2026.04, Research Assistant, UCSD MixLab
- 2024.06 - 2024.09, AI Research Intern, Transwarp
- 2023.06 - 2023.09, Software Engineer Intern, Transwarp
🛠 Projects
- 2025.02, Language Model System Optimization | Python, NLP, Web Scraping
- Ported inference acceleration algorithms including Speculative Decoding from GPU to TPU, achieving 3x avg speedup.
- PR (#1868) merged to vLLM project TPU inference repo (400+ stars).
