Shuchen Zhu

14 papers A* 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement.
CoRR
Shuchen Zhu, Rizhen Hu, Mingze Wang, Mou Sun, Xue Wang, Kun Yuan, Zaiwen Wen
2025 J jnl
Block encoding with low gate count for second-quantized Hamiltonians.
CoRR
Diyi Liu, Shuchen Zhu, Guang Hao Low, Lin Lin, Chao Yang
2025 — conf
D-SOBA: A Single-Loop Decentralized Bilevel Algorithm with Transient Complexity Analysis.
EUSIPCO
Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
2025 J jnl
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity.
J. Mach. Learn. Res.
Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
2025 J jnl
High-order Magnus Expansion for Hamiltonian Simulation.
CoRR
Di Fang, Diyi Liu, Shuchen Zhu
2024 J jnl
Decentralized Bilevel Optimization over Graphs: Loopless Algorithmic Update and Transient Iteration Complexity.
CoRR
Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
2024 J jnl
Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization.
CoRR
Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul, Shuchen Zhu, Brandon Augustino, Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia
2024 A* conf
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization.
NeurIPS
Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
2024 J jnl
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization.
CoRR
Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
2023 J jnl
Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision.
Quantum
Guoming Wang, Daniel Stilck França, Ruizhe Zhang, Shuchen Zhu, Peter Johnson
2020 J jnl
Improved Approximate Degree Bounds For $k$-distinctness.
Electron. Colloquium Comput. Complex.
Nikhil S. Mande, Justin Thaler, Shuchen Zhu
2020 J jnl
Improved Approximate Degree Bounds For k-distinctness.
CoRR
Nikhil S. Mande, Justin Thaler, Shuchen Zhu
2020 — conf
Improved Approximate Degree Bounds for k-Distinctness.
TQC
Nikhil S. Mande, Justin Thaler, Shuchen Zhu
2019 J jnl
A Theory of Trotter Error.
CoRR
Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, Shuchen Zhu