Liao, Zhenyu

17 publications

IJCAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng
ICML 2025 Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-Sampled Newton Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney
ICLR 2025 The Breakdown of Gaussian Universality in Classification of High-Dimensional Linear Factor Mixtures Xiaoyi Mai, Zhenyu Liao
ICML 2024 Deep Equilibrium Models Are Almost Equivalent to Not-so-Deep Explicit Models for High-Dimensional Gaussian Mixtures Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C Qiu, Zhenyu Liao
NeurIPS 2022 "Lossless" Compression of Deep Neural Networks: A High-Dimensional Neural Tangent Kernel Approach Lingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, Shiliang Pu, Robert Qiu, Zhenyu Liao
NeurIPSW 2022 Off-Policy Reinforcement Learning with Optimistic Exploration and Distribution Correction Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai
ICLR 2022 Random Matrices in Service of ML Footprint: Ternary Random Features with No Performance Loss Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
AISTATS 2021 Kernel Regression in High Dimensions: Refined Analysis Beyond Double Descent Fanghui Liu, Zhenyu Liao, Johan Suykens
NeurIPS 2021 Hessian Eigenspectra of More Realistic Nonlinear Models Zhenyu Liao, Michael W. Mahoney
ICLR 2021 Sparse Quantized Spectral Clustering Zhenyu Liao, Romain Couillet, Michael W. Mahoney
COLT 2021 Sparse Sketches with Small Inversion Bias Michal Derezinski, Zhenyu Liao, Edgar Dobriban, Michael Mahoney
NeurIPS 2020 A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent Zhenyu Liao, Romain Couillet, Michael W. Mahoney
JMLR 2020 Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
NeurIPS 2020 Precise Expressions for Random Projections: Low-Rank Approximation and Randomized Newton Michal Derezinski, Feynman T Liang, Zhenyu Liao, Michael W. Mahoney
ECCV 2020 Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille
ICML 2018 On the Spectrum of Random Features Maps of High Dimensional Data Zhenyu Liao, Romain Couillet
ICML 2018 The Dynamics of Learning: A Random Matrix Approach Zhenyu Liao, Romain Couillet