Junlie Huang (黄君烈)

Welcome to my page! I am a fourth-year Ph.D. student at the Institute of Statistics and Big Data, Renmin University of China, co-advised by Dr. Cheng Meng and Dr. Shaojun Guo.

Prior to this, I received my B.S. degree in Mathematics from the Department of Mathematical Sciences, Tsinghua University.

My current research focuses on big data compression, optimal transport, and image anomaly detection.

I am currently serving as the Director for the Stat2Spark Team within the Mingli Innovation Lab, Renmin University of China.

If you are interested in my research, feel free to drop me an email!

🔥 News

Apr 2026
Internship as an AI Engineer at the Applied Scenario Innovation Lab, Central Research Institute, Huawei 2012 Laboratories. My work focuses on highly efficient core-set construction for complex operating-condition datasets, leveraging advanced feature extraction from high-dimensional time series to enable robust model transferability.
Oct 2025
I was awarded an Outstanding Poster Award at the 9th Student Forum of the China Society for Industrial and Applied Mathematics (CSIAM). [View Certificate]
May 2025
Our paper "Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection" was accepted by JCGS. JCR Q1 [Link]
Apr 2025
I received the Travel Award and was selected for the Doctoral Forum at the 2025 Annual Conference of the Youth Statisticians Association. [News Link]. Reported by "Gouxiong Hui".
Jan 2025
Our team was awarded the Huawei 'Spark' Award for solving the 'Fast Optical Coupling Optimization' challenge. [Link]

Efficient Approximation of Leverage Scores in Two-Dimensional Autoregressive Models with Application to Image Anomaly Detection

Junlie Huang, Xinlai Kang, Qiannan Huang, Mengyu Li, Cheng Meng, Jingyi Zhang.

Journal of Computational and Graphical Statistics (JCGS), 2025.

[PDF] [Code]

Multi-Dimensional Rapid Optimization Technology

In collaboration with Huawei.

Outstanding Project Completion.