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ORCIDZhize Li
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2020 – today
- 2025
[j6]Xiaoqing Wan
, Feng Chen, Weizhe Gao, Yupeng He, Hui Liu, Zhize Li:
Efficient Spectral-Spatial Fusion With Multiscale and Adaptive Attention for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 1196-1211 (2025)- 2024
- [j5]Haoyu Zhao, Konstantin Burlachenko, Zhize Li, Peter Richtárik:
Faster Rates for Compressed Federated Learning with Client-Variance Reduction. SIAM J. Math. Data Sci. 6(1): 154-175 (2024) - [c20]Sijin Chen, Zhize Li, Yuejie Chi:
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. AISTATS 2024: 2701-2709 - 2023
- [i29]Sijin Chen, Zhize Li, Yuejie Chi:
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. CoRR abs/2310.19059 (2023) - 2022
- [j4]Zhize Li, Jian Li, Hongwei Huo:
Optimal in-place suffix sorting. Inf. Comput. 285(Part): 104818 (2022) - [j3]Zhize Li, Jian Li:
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 23: 239:1-239:61 (2022) - [j2]Boyue Li, Zhize Li, Yuejie Chi:
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. SIAM J. Math. Data Sci. 4(3): 1031-1051 (2022) - [c19]Peter Richtárik, Igor Sokolov, Elnur Gasanov, Ilyas Fatkhullin, Zhize Li, Eduard Gorbunov:
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. ICML 2022: 18596-18648 - [c18]Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao:
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering. NeurIPS 2022 - [c17]Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi:
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. NeurIPS 2022 - [c16]Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi:
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression. NeurIPS 2022 - [i28]Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtárik, Yuejie Chi:
BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. CoRR abs/2201.13320 (2022) - [i27]Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin, Elnur Gasanov, Zhize Li, Eduard Gorbunov:
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. CoRR abs/2202.00998 (2022) - [i26]Zhize Li, Haoyu Zhao, Boyue Li, Yuejie Chi:
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression. CoRR abs/2206.09888 (2022) - [i25]Zhize Li, Jian Li:
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. CoRR abs/2208.10025 (2022) - [i24]Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao:
Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering. CoRR abs/2210.14664 (2022) - 2021
- [c15]Eduard Gorbunov, Konstantin Burlachenko, Zhize Li, Peter Richtárik:
MARINA: Faster Non-Convex Distributed Learning with Compression. ICML 2021: 3788-3798 - [c14]Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik:
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. ICML 2021: 6286-6295 - [c13]Zhize Li, Peter Richtárik:
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression. NeurIPS 2021: 13770-13781 - [i23]Eduard Gorbunov, Konstantin Burlachenko, Zhize Li, Peter Richtárik:
MARINA: Faster Non-Convex Distributed Learning with Compression. CoRR abs/2102.07845 (2021) - [i22]Zhize Li, Peter Richtárik:
ZeroSARAH: Efficient Nonconvex Finite-Sum Optimization with Zero Full Gradient Computation. CoRR abs/2103.01447 (2021) - [i21]Zhize Li:
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method. CoRR abs/2103.11333 (2021) - [i20]Zhize Li:
A Short Note of PAGE: Optimal Convergence Rates for Nonconvex Optimization. CoRR abs/2106.09663 (2021) - [i19]Zhize Li, Peter Richtárik:
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression. CoRR abs/2107.09461 (2021) - [i18]Haoyu Zhao, Zhize Li, Peter Richtárik:
FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning. CoRR abs/2108.04755 (2021) - [i17]Boyue Li, Zhize Li, Yuejie Chi:
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. CoRR abs/2110.01165 (2021) - [i16]Ilyas Fatkhullin, Igor Sokolov, Eduard Gorbunov, Zhize Li, Peter Richtárik:
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback. CoRR abs/2110.03294 (2021) - [i15]Haoyu Zhao, Konstantin Burlachenko, Zhize Li, Peter Richtárik:
Faster Rates for Compressed Federated Learning with Client-Variance Reduction. CoRR abs/2112.13097 (2021) - 2020
- [c12]Zhize Li, Jian Li:
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization. AISTATS 2020: 1047-1057 - [c11]Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik:
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. ICML 2020: 5895-5904 - [i14]Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik:
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. CoRR abs/2002.11364 (2020) - [i13]Zhize Li, Peter Richtárik:
A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization. CoRR abs/2006.07013 (2020) - [i12]Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik:
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. CoRR abs/2008.10898 (2020)
2010 – 2019
- 2019
- [j1]Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li:
Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference. Mach. Learn. 108(8-9): 1701-1727 (2019) - [c10]Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang:
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. COLT 2019: 1394-1448 - [c9]Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. ICLR (Poster) 2019 - [c8]Yu Shi, Jian Li, Zhize Li:
Gradient Boosting with Piece-Wise Linear Regression Trees. IJCAI 2019: 3432-3438 - [c7]Zhize Li:
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points. NeurIPS 2019: 1521-1531 - [c6]Guanghui Lan, Zhize Li, Yi Zhou:
A unified variance-reduced accelerated gradient method for convex optimization. NeurIPS 2019: 10462-10472 - [i11]Zhize Li:
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points. CoRR abs/1904.09265 (2019) - [i10]Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang:
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. CoRR abs/1905.00529 (2019) - [i9]Guanghui Lan, Zhize Li, Yi Zhou:
A unified variance-reduced accelerated gradient method for convex optimization. CoRR abs/1905.12412 (2019) - 2018
- [c5]Zhize Li, Jian Li, Hongwei Huo:
Optimal In-Place Suffix Sorting. DCC 2018: 422 - [c4]Zhize Li, Jian Li:
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. NeurIPS 2018: 5569-5579 - [c3]Zhize Li, Le Zhang, Zhixuan Fang, Jian Li:
A Two-Stage Mechanism for Ordinal Peer Assessment. SAGT 2018: 176-188 - [c2]Zhize Li, Jian Li, Hongwei Huo:
Optimal In-Place Suffix Sorting. SPIRE 2018: 268-284 - [i8]Zhize Li, Jian Li:
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization. CoRR abs/1802.04477 (2018) - [i7]Yu Shi, Jian Li, Zhize Li:
Gradient Boosting With Piece-Wise Linear Regression Trees. CoRR abs/1802.05640 (2018) - [i6]Zhize Li, Tianyi Zhang, Jian Li:
Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference. CoRR abs/1803.11159 (2018) - [i5]Zhize Li, Jian Li:
An Anderson-Chebyshev Mixing Method for Nonlinear Optimization. CoRR abs/1809.02341 (2018) - [i4]Zhize Li, Wei Zhang, Kees Roos:
A Fast Polynomial-time Primal-Dual Projection Algorithm for Linear Programming. CoRR abs/1810.04517 (2018) - [i3]Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang:
Learning Two-layer Neural Networks with Symmetric Inputs. CoRR abs/1810.06793 (2018) - 2017
- [i2]Zengyin Yang, Qian Wu, Zhize Li, Hewu Li, Jianping Wu:
Modeling and Routing for Predictable Dynamic Networks. CoRR abs/1704.00885 (2017) - 2016
- [i1]Zhize Li, Jian Li, Hongwei Huo:
Optimal In-Place Suffix Sorting. CoRR abs/1610.08305 (2016) - 2015
- [c1]Wei Cao, Jian Li, Yufei Tao, Zhize Li:
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs. NIPS 2015: 1036-1044
Coauthor Index
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last updated on 2025-01-09 19:34 CET by the dblp team
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