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Lizhang Chen
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2020 – today
- 2025
- [i7]Son Nguyen, Bo Liu, Lizhang Chen, Qiang Liu:
Improving Adaptive Moment Optimization via Preconditioner Diagonalization. CoRR abs/2502.07488 (2025) - 2024
- [c4]Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu:
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts. ICLR 2024 - [c3]Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu:
Memory-Efficient LLM Training with Online Subspace Descent. NeurIPS 2024 - [c2]Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu:
Communication Efficient Distributed Training with Distributed Lion. NeurIPS 2024 - [i6]Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu:
Communication Efficient Distributed Training with Distributed Lion. CoRR abs/2404.00438 (2024) - [i5]Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu:
H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent. CoRR abs/2406.09958 (2024) - [i4]Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu:
Memory-Efficient LLM Training with Online Subspace Descent. CoRR abs/2408.12857 (2024) - [i3]Kaizhao Liang, Lizhang Chen, Bo Liu, Qiang Liu:
Cautious Optimizers: Improving Training with One Line of Code. CoRR abs/2411.16085 (2024) - 2023
- [i2]Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu:
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts. CoRR abs/2310.05898 (2023) - 2020
- [i1]Shangxi Wu, Jitao Sang, Xian Zhao, Lizhang Chen
:
An Experimental Study of Semantic Continuity for Deep Learning Models. CoRR abs/2011.09789 (2020)
2010 – 2019
- 2018
- [c1]Jingqiang Liu, Bin Li, Lizhang Chen, Meng Hou, Feiran Xiang, Peijun Wang:
A Data Storage Method Based on Blockchain for Decentralization DNS. DSC 2018: 189-196
Coauthor Index
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