Yizhou Liu

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inverse Depth Scaling From Most Layers Being Similar. CoRR Yizhou Liu, Sara Kangaslahti, Ziming Liu, Jeff Gore
2026	J	`jnl`	The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective. CoRR Qiyao Liang, Jinyeop Song, Yizhou Liu, Jeff Gore, Ila Fiete, Risto Miikkulainen, Xin Qiu
2026	J	`jnl`	Universal One-third Time Scaling in Learning Peaked Distributions. CoRR Yizhou Liu, Ziming Liu, Cengiz Pehlevan, Jeff Gore
2025	J	`jnl`	FOCUS: First Order Concentrated Updating Scheme. CoRR Yizhou Liu, Ziming Liu, Jeff Gore
2025	J	`jnl`	Neural Thermodynamic Laws for Large Language Model Training. CoRR Ziming Liu, Yizhou Liu, Jeff Gore, Max Tegmark
2025	J	`jnl`	Physics of Skill Learning. CoRR Ziming Liu, Yizhou Liu, Eric J. Michaud, Jeff Gore, Max Tegmark
2025	J	`jnl`	Superposition Yields Robust Neural Scaling. CoRR Yizhou Liu, Ziming Liu, Jeff Gore
2024	J	`jnl`	On the Computational Complexity of Schrödinger Operators. CoRR Yufan Zheng, Jiaqi Leng, Yizhou Liu, Xiaodi Wu
2023	J	`jnl`	On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks. Quantum Yizhou Liu, Weijie J. Su, Tongyang Li
2023	J	`jnl`	Quantum Langevin Dynamics for Optimization. CoRR Zherui Chen, Yuchen Lu, Hao Wang, Yizhou Liu, Tongyang Li
2022	J	`jnl`	On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks. CoRR Yizhou Liu, Weijie J. Su, Tongyang Li