Shuchen Zhu

According to our database, Shuchen Zhu authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models.

Mingze Wang, Shuchen Zhu, Yuxin Fang, Binghui Li, Kai Shen, Shu Zhong

CoRR, May, 2026

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data.

Shuchen Zhu, Zhengyang Huang, Yuqi Xu, Peijin Li

CoRR, April, 2026

Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement.

Shuchen Zhu, Rizhen Hu, Mingze Wang, Mou Sun, Xue Wang, Kun Yuan, Zaiwen Wen

CoRR, February, 2026

2025

Block encoding with low gate count for second-quantized Hamiltonians.

Diyi Liu, Shuchen Zhu, Guang Hao Low, Lin Lin, Chao Yang

CoRR, October, 2025

High-order Magnus Expansion for Hamiltonian Simulation.

Di Fang, Diyi Liu, Shuchen Zhu

CoRR, September, 2025

Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity.

Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan

J. Mach. Learn. Res., 2025

D-SOBA: A Single-Loop Decentralized Bilevel Algorithm with Transient Complexity Analysis.

Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization.

Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul, Shuchen Zhu, Brandon Augustino, Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia

CoRR, 2024

Decentralized Bilevel Optimization over Graphs: Loopless Algorithmic Update and Transient Iteration Complexity.

Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan

CoRR, 2024

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization.

Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan

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

2023

Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision.

Guoming Wang, Daniel Stilck França, Ruizhe Zhang, Shuchen Zhu, Peter Johnson

Quantum, November, 2023

2020

Improved Approximate Degree Bounds for k-Distinctness.

Nikhil S. Mande, Justin Thaler, Shuchen Zhu

Proceedings of the 15th Conference on the Theory of Quantum Computation, 2020

2019

A Theory of Trotter Error.

Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, Shuchen Zhu

CoRR, 2019