| 2025 | AAAI | EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. | Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li |
| 2025 | IJCAI | SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method. | Zhize Li |
| 2024 | AISTATS | Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. | Sijin Chen, Zhize Li, Yuejie Chi |
| 2022 | ICML | 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. | Peter Richtrik, Igor Sokolov, Elnur Gasanov, Ilyas Fatkhullin, Zhize Li, Eduard Gorbunov |
| 2021 | ICML | MARINA: Faster Non-Convex Distributed Learning with Compression. | Eduard Gorbunov, Konstantin Burlachenko, Zhize Li, Peter Richtrik |
| 2021 | ICML | PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. | Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtrik |
| 2020 | AISTATS | A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization. | Zhize Li, Jian Li |
| 2020 | ICML | Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. | Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtrik |
| 2019 | COLT | Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. | Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang |
| 2019 | ICLR | Learning Two-layer Neural Networks with Symmetric Inputs. | Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang |
| 2019 | IJCAI | Gradient Boosting with Piece-Wise Linear Regression Trees. | Yu Shi, Jian Li, Zhize Li |
| 2018 | DCC | Optimal In-Place Suffix Sorting. | Zhize Li, Jian Li, Hongwei Huo |
| 2018 | SAGT | A Two-Stage Mechanism for Ordinal Peer Assessment. | Zhize Li, Le Zhang, Zhixuan Fang, Jian Li |
| 2018 | SPIRE | Optimal In-Place Suffix Sorting. | Zhize Li, Jian Li, Hongwei Huo |