• I am a tech lead and AI engineer at ByteDance, focusing on building practical AI systems and products since January 2026.
• Prior to ByteDance, I spent four years at Huawei as a tech lead and AI researcher, leading projects on post-training, agentic reinforcement learning, and domain-specific large language models for the telecom industry.
• From 2019 to 2022, I was a Data & Applied Scientist in Azure Machine Learning at Microsoft Cloud & AI Platform, working on end-to-end solutions for AutoML and privacy-preserving AI, from algorithm design to large-scale deployment.
• I hold a Ph.D. in Statistics from Iowa State University and a B.S. from the School of the Gifted Young at the University of Science and Technology of China, with early experience at eBay, Liberty Mutual, and OIST.
• My work sits at the intersection of research and engineering, with a focus on making AI systems more automated, reliable, and interpretable in production environments.

News

• April 28, 2026. I received the TikTok Eng Spot Bonus “Excellent New Employee” from ByteDance.
• January 5, 2026. Our paper on LLM Benchmark on Telecom Table Interpretation is available on arXiv.
• October 20, 2025. Our team released GSMA Open-Telco LLM Benchmarks 2.0—the first comprehensive benchmark for evaluating large language models on real-world telecom tasks, from intent-to-configuration and troubleshooting to standards interpretation and network diagnostics.
• October 13, 2025. Our paper on Momentum-filtered Optimizer for Mitigating LLM Forgetting during SFT has been accepted by TMLR.
• August 31, 2025. I attended the 2025 ICPC World Finals in Baku, Azerbaijan, as an expert representative of Huawei.
• July 30, 2025. We released Telelogs, a benchmark for evaluating Large Language Models in telecom log analysis, in collaboration with the Netop Team at Huawei Paris Research Center. The accompanying paper “Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks” is available on arXiv.
• September 20, 2024. Our paper on LLM hallucination detection has been accepted by EMNLP 2024 Main.
• February 5, 2024. It is my great honor to be featured in Huaweier’s Story of the Year.
• October 30, 2023. Our AI product AskO3 was released alongside the O3 Community at Huawei Connect 2023 in Shanghai, China.
• October 8, 2023. Two papers have been accepted to the Findings of EMNLP 2023.
• February 14, 2022. Selected for Huawei’s Top Minds Program (天才少年).
• June 1, 2021. Our Python library shrike, which facilitates compliant experiments on the Azure Machine Learning Platform, was released on GitHub.
• May 27, 2021. My paper “Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency” was published in the Journal of Business & Economic Statistics.
• December 6, 2020. The Python library FLAML—a fast and lightweight automated machine learning toolkit—was publicly released on PyPI.
• April 15, 2020. Our paper “Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Model” was accepted by the Journal of the American Statistical Association.
• December 8–14, 2019. I attended NeurIPS 2019 in Vancouver, Canada.
• October 21–25, 2019. I visited the Microsoft New England Research and Development Center in Boston and attended the Harvard Data Science Initiative Conference.
• June 15, 2019. I participated in the ACM-IMS Interdisciplinary Summit on the Foundations of Data Science in San Francisco, CA.
• May 30, 2019. I presented an e-poster on “Estimating Plant Growth Curves and Derivatives by Modeling Crowdsourced Image-based Data” at the 2019 Symposium on Data Science and Statistics in Bellevue, WA.
• February 12, 2019. Our paper “Random Forest Prediction Intervals” has been accepted by The American Statistician. Its R package rfinterval is available on CRAN.
• Our research on Constructing a Graph from User Implicit Feedback has been accepted by the SIAM Conference on Computational Science and Engineering (CSE19).
• January 10, 2019. I gave a 30-minute talk at Facebook headquarters in Menlo Park, CA.
• December 24, 2018. Our paper “Optimal Designs for Genomic Prediction in Hybrid Crops” was accepted by Molecular Plant.
• December 13, 2018. I gave a presentation in the Department of Mathematics and Statistics at the University of New Hampshire in Durham, NH.
• December 5–8, 2018. I visited the School of Mathematics and Statistics at the University of Melbourne and gave a talk on spatially dependent functional data.
• 2018–2019. I served on the International Student Advisory Board at Iowa State University.
• July 28 – August 2, 2018. I attended and gave an oral presentation at the Joint Statistical Meetings in Vancouver, Canada.
• May 21, 2018. I started a data scientist internship at eBay Advertising for three months.
• May 16, 2018. I received the SAMSI Travel Award for presenting at the Symposium on Data Science and Statistics in Reston, Virginia.
• May 7, 2018. I presented a poster at the Conference on Predictive Inference and Its Applications in Ames, IA.
• April 21–28, 2018. I visited the Department of Statistics at the University of California, Riverside.
• March 24–27, 2018. I attended the ENAR Spring Meetings in Atlanta, Georgia.
• May, 2017. I was elected President of the Iowa STAT-ers for 2017–18.