| 2025 | ICLR | The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures. | Xiaoyi Mai, Zhenyu Liao |
| 2025 | ICML | Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton. | Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney |
| 2025 | IJCAI | 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 |
| 2024 | ICASSP | FedRF-Adapt: Robust and Communication-Efficient Federated Domain Adaptation via Random Features. | Yuanjie Wang, Zhanbo Feng, Zhenyu Liao |
| 2024 | ICML | 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 |
| 2024 | ISIT | An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures. | Yi Song, Kai Wan, Zhenyu Liao, Hao Xu, Giuseppe Caire, Shlomo Shamai |
| 2024 | MMSP | An Exploration of Human Pose Estimation Based Cheating Tools for FPS Video Game and its Defense Solution. | Chang Liu, Zichun Gao, Zhenyu Liao, Yue Sun, Xianglong Feng |
| 2023 | BMVC | Complex Scene Image Editing by Scene Graph Comprehension. | Zhongping Zhang, Huiwen He, Bryan A. Plummer, Zhenyu Liao, Huayan Wang |
| 2022 | AI | On identifying significant edges for structure learning in Bayesian networks. | Zhenyu Liao, Junyao Duan, Peter van Beek |
| 2022 | ICLR | Random matrices in service of ML footprint: ternary random features with no performance loss. | Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet |
| 2021 | AISTATS | Kernel regression in high dimensions: Refined analysis beyond double descent. | Fanghui Liu, Zhenyu Liao, Johan A. K. Suykens |
| 2021 | COLT | Sparse sketches with small inversion bias. | Michal Derezinski, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney |
| 2021 | ICLR | Sparse Quantized Spectral Clustering. | Zhenyu Liao, Romain Couillet, Michael W. Mahoney |
| 2021 | IROS | Robotic Guidance System for Visually Impaired Users Running Outdoors Using Haptic Feedback. | Zhenyu Liao, Jose V. Salazar Luces, Yasuhisa Hirata |
| 2020 | BMVC | Neural Network Quantization with Scale-Adjusted Training. | Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian |
| 2020 | CVPR | AdaBits: Neural Network Quantization With Adaptive Bit-Widths. | Qing Jin, Linjie Yang, Zhenyu Liao |
| 2020 | ECCV | Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. | Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille |
| 2019 | ICASSP | A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights. | Xiaoyi Mai, Zhenyu Liao, Romain Couillet |
| 2018 | ICML | On the Spectrum of Random Features Maps of High Dimensional Data. | Zhenyu Liao, Romain Couillet |
| 2018 | ICML | The Dynamics of Learning: A Random Matrix Approach. | Zhenyu Liao, Romain Couillet |
| 2018 | IUI | TSCSet: A Crowdsourced Time-Sync Comment Dataset for Exploration of User Experience Improvement. | Zhenyu Liao, Yikun Xian, Xiao Yang, Qinpei Zhao, Chenxi Zhang, Jiangfeng Li |
| 2017 | ICASSP | Random matrices meet machine learning: A large dimensional analysis of LS-SVM. | Zhenyu Liao, Romain Couillet |
| 2016 | ICALP | Optimization Algorithms for Faster Computational Geometry. | Zeyuan Allen Zhu, Zhenyu Liao, Yang Yuan |
| 2016 | ICPADS | A Potential Field Based Framework for Publish/Subscribe Service in P2P Cloud. | Jiangfeng Li, Zhenyu Liao, Zehong Zhou, Jian Xu, Qinpei Zhao, Chenxi Zhang |
| 2015 | MOBIHOC | Video Highlight Shot Extraction with Time-Sync Comment. | Yikun Xian, Jiangfeng Li, Chenxi Zhang, Zhenyu Liao |
| 2015 | STOC | Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates. | Zeyuan Allen Zhu, Zhenyu Liao, Lorenzo Orecchia |