Education

Ph.D in Statistics, University of Hong Kong, 2024
M.S. in Statistics, University of Science and Technology of China, 2020
B.S. in Statistics, Special Class for Gifted Youths, University of Science and Technology of China, 2018

Skills

Python
R

Publications

Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks.

Xuran Meng and Yi Li, "Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks." arxiv: 2504.09347, 2024.

Transformer learns optimal variable selection in group-sparse classification.

Chenyang Zhang, Xuran Meng and Yuan Cao, "Transformer learns optimal variable selection in group-sparse classification." ICLR, 2025.

Per-Example Gradient Regularization Improves Learning Signals from Noisy Data.

Xuran Meng, Yuan Cao and Difan Zou, "Per-Example Gradient Regularization Improves Learning Signals from Noisy Data." Machine Learning, 2025.

Statistical Inference on High Dimensional Gaussian Graphical Regression Models.

Xuran Meng, Jingfei Zhang and Yi Li, "Statistical Inference on High Dimensional Gaussian Graphical Regression Models." arxiv: 2411.01588, 2024.

Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers.

Shuning Shang, Xuran Meng, Yuan Cao and Difan Zou, "Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers." arxiv: 2410.19139, 2024.

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization.

Xuran Meng, Yuan Cao and Weichen Wang, "Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization." arxiv: 2406.03954, 2024.

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data.

Xuran Meng, Difan Zou and Yuan Cao, "Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data." ICML, 2024.

Multiple Descent in the Multiple Random Feature Model.

Xuran Meng, Jianfeng Yao and Yuan Cao, "Multiple Descent in the Multiple Random Feature Model." JMLR 25, 2024.

Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping.

Xuran Meng and Jianfeng Yao, "Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping." JMLR 24, 2023.

l1–2 minimisation for compressed sensing with partially known signal support.

Jing Zhang, Shuguang Zhang and Xuran Meng, "l1–2 minimisation for compressed sensing with partially known signal support." Electronics Letters 56, 2020.

High frequency algorithm and its back-testing results based on GAN.

Xuran Meng, Xiuchun Bi and Shuguang Zhang, "High frequency algorithm and its back-testing results based on GAN." JUSTC 50, 2020.

A Local Existence Theorem for a Parabolic Blow-Up Inverse Problem.

Yu Pan, Xuran Meng and Wuqing Ning, "A Local Existence Theorem for a Parabolic Blow-Up Inverse Problem." Pure Mathematics, 2017.

Xuran Meng