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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
publications
A Local Existence Theorem for a Parabolic Blow-Up Inverse Problem.
Published in Pure Mathematics, 2017
Recommended citation: Yu Pan, Xuran Meng and Wuqing Ning, "A Local Existence Theorem for a Parabolic Blow-Up Inverse Problem." Pure Mathematics, 2017.
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High frequency algorithm and its back-testing results based on GAN.
Published in JUSTC, 2020
Recommended citation: Xuran Meng, Xiuchun Bi and Shuguang Zhang, "High frequency algorithm and its back-testing results based on GAN." JUSTC 50, 2020.
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l1–2 minimisation for compressed sensing with partially known signal support.
Published in Electronics Letters, 2020
Recommended citation: Jing Zhang, Shuguang Zhang and Xuran Meng, "l1–2 minimisation for compressed sensing with partially known signal support." Electronics Letters 56, 2020.
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Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping.
Published in Journal of Machine Learning Research, 2023
Recommended citation: 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.
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Multiple Descent in the Multiple Random Feature Model.
Published in Journal of Machine Learning Research, 2024
Recommended citation: Xuran Meng, Jianfeng Yao and Yuan Cao, "Multiple Descent in the Multiple Random Feature Model." JMLR 25, 2024.
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Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data.
Published in International Conference on Machine Learning, 2024
Recommended citation: Xuran Meng, Difan Zou and Yuan Cao, "Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data." ICML, 2024.
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Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization.
Published in Arxiv, 2024
Submitted to JASA
Recommended citation: Xuran Meng, Yuan Cao and Weichen Wang, "Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization." arxiv: 2406.03954, 2024.
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Initialization Matters: On the Benign Overfitting of Two-Layer ReLU CNN with Fully Trainable Layers.
Published in Arxiv, 2024
Submitted to JMLR
Recommended citation: 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.
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Statistical Inference on High Dimensional Gaussian Graphical Regression Models.
Published in Arxiv, 2024
Submitted to JASA
Recommended citation: Xuran Meng, Jingfei Zhang and Yi Li, "Statistical Inference on High Dimensional Gaussian Graphical Regression Models." arxiv: 2411.01588, 2024.
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Per-Example Gradient Regularization Improves Learning Signals from Noisy Data.
Published in Machine Learning, 2025
Machine Learning
Recommended citation: Xuran Meng, Yuan Cao and Difan Zou, "Per-Example Gradient Regularization Improves Learning Signals from Noisy Data." Machine Learning, 2025.
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Transformer learns optimal variable selection in group-sparse classification.
Published in International Conference on Learning Representations, 2025
Recommended citation: Chenyang Zhang, Xuran Meng and Yuan Cao, "Transformer learns optimal variable selection in group-sparse classification." ICLR, 2025.
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Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks.
Published in Arxiv, 2025
Submitted to AOS
Recommended citation: Xuran Meng and Yi Li, "Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks." arxiv: 2504.09347, 2024.
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talks
Poster in RMTA 2023
Published:
Poster in ICML 2024
Published:
teaching
Tutor from 2020-2024
Undergraduate/Postgraduate course, University of Hong Kong, Department of Statistics and Actuarial Science, 2020
Stochastic Process, Financial Economics, Bayesian Learning