Lizhang Chen

According to our database, Lizhang Chen authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Training-Free Looped Transformers.

Lizhang Chen, Jonathan Li, Chen Liang, Ni Lao, Qiang Liu

CoRR, May, 2026

ϕ-Balancing for Mixture-of-Experts Training.

Lizhang Chen, Jonathan Li, Qi Wang, Runlong Liao, Shuozhe Li, Chen Liang, Ni Lao, Qiang Liu

CoRR, May, 2026

Momentum Guidance: Plug-and-Play Guidance for Flow Models.

Runlong Liao, Jian Yu, Baiyu Su, Chi Zhang, Lizhang Chen, Qiang Liu

CoRR, February, 2026

Learning Robust Reasoning through Guided Adversarial Self-Play.

Shuozhe Li, Vaishnav Tadiparthi, Kwonjoon Lee, Nakul Agarwal, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Lizhang Chen, Amy Zhang, Liu Leqi

CoRR, February, 2026

Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test.

Chun-Kai Fan, Xiaowei Chi, Xiaozhu Ju, Hao Li, Yong Bao, Yu-Kai Wang, Lizhang Chen, Zhiyuan Jiang, Kuangzhi Ge, Ying Li, Weishi Mi, Qingpo Wuwu, Peidong Jia, Yulin Luo, Kevin Zhang, Zhiyuan Qin, Yong Dai, Sirui Han, Yike Guo, Shanghang Zhang, Jian Tang

CoRR, January, 2026

Muon Optimizes Under Spectral Norm Constraints.

Lizhang Chen, Jonathan Li, Qiang Liu

Trans. Mach. Learn. Res., 2026

2025

Cautious Weight Decay.

Lizhang Chen, Jonathan Li, Kaizhao Liang, Baiyu Su, Cong Xie, Nuo Wang Pierse, Chen Liang, Ni Lao, Qiang Liu

CoRR, October, 2025

WoW: Towards a World omniscient World model Through Embodied Interaction.

Xiaowei Chi, Peidong Jia, Chun-Kai Fan, Xiaozhu Ju, Weishi Mi, Kevin Zhang, Zhiyuan Qin, Wanxin Tian, Kuangzhi Ge, Hao Li, Zezhong Qian, Anthony Chen, Qiang Zhou, Yueru Jia, Jiaming Liu, Yong Dai, Qingpo Wuwu, Chengyu Bai, Yu-Kai Wang, Ying Li, Lizhang Chen, Yong Bao, Zhiyuan Jiang, Jiacheng Zhu, Kai Tang, Ruichuan An, Yulin Luo, Qiuxuan Feng, Siyuan Zhou, Chi-Min Chan, Chengkai Hou, Wei Xue, Sirui Han, Yike Guo, Shanghang Zhang, Jian Tang

CoRR, September, 2025

Muon Optimizes Under Spectral Norm Constraints.

Lizhang Chen, Jonathan Li, Qiang Liu

CoRR, June, 2025

Improving Adaptive Moment Optimization via Preconditioner Diagonalization.

Son Nguyen, Bo Liu, Lizhang Chen, Qiang Liu

CoRR, February, 2025

Memory-Efficient Optimization with Factorized Hamiltonian Descent.

Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Cautious Optimizers: Improving Training with One Line of Code.

Kaizhao Liang, Lizhang Chen, Bo Liu, Qiang Liu

CoRR, 2024

H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent.

Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu

CoRR, 2024

Communication Efficient Distributed Training with Distributed Lion.

Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Memory-Efficient LLM Training with Online Subspace Descent.

Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts.

Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2020

An Experimental Study of Semantic Continuity for Deep Learning Models.

Shangxi Wu, Jitao Sang, Xian Zhao, Lizhang Chen

CoRR, 2020

2018

A Data Storage Method Based on Blockchain for Decentralization DNS.

Jingqiang Liu, Bin Li, Lizhang Chen, Meng Hou, Feiran Xiang, Peijun Wang

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018