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Resume (English only)
Academic Achievements
- Publications: Over 50 papers, with 35+ as the first author, published in leading AI conferences and journals such as NeurIPS, CVPR, EMNLP, AISTATS, etc.
- Awards: CTO Award, Intuit (2024); A2D Innovation Award, Intuit (2024); Promising Early-Career Researcher Award, ORNL (2020); NeurIPS Travel Award (2019); Acheson J. Duncan Graduate Research Award, Johns Hopkins (2018); Dean’s Fellowship, Johns Hopkins (2014); National Scholarship of P.R. China (2009, 2012)
- Projects: Created GitHub repositories for LLM Prompt Optimization and LLM RAG, collectively garnering over 2,000 stars
Research Experience
- Position: Senior Staff Research Scientist
- Work Experience: Currently a Senior Staff Research Scientist at Intuit AI Research; previously a Research Staff at Oak Ridge National Laboratory
- Research Projects: Generative AI, AI Reliability, Uncertainty Quantification, etc.
Education
- Degree: Ph.D.
- School: Johns Hopkins University
- Advisor: Not mentioned
- Time: Not mentioned
- Major: Uncertainty Quantification
Background
- Research Interests: Generative AI (including large language models, diffusion models, vision-language models), AI Reliability (focusing on uncertainty, confidence, and robustness)
- Professional Field: AI Reliability and Robustness, Uncertainty Quantification, LLM Alignment and Safety, Optimization, AI4Science
- Introduction: Senior Staff Research Scientist at Intuit AI Research, leading a research team specializing in Generative AI and AI Reliability. Previously, worked on AI for Science at Oak Ridge National Laboratory.
Miscellany
- Personal Interests: Not mentioned
- Other: Active in program committees and reviewing for multiple academic conferences, such as ACL, EMNLP, NAACL, NeurIPS, ICML, etc.