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Ruizhe Zhang 0001
Person information
- affiliation: University of Texas at Austin, TX, USA
Other persons with the same name
- Ruizhe Zhang
- Ruizhe Zhang 0002 — Zhengzhou University, Zhengzhou, China
- Ruizhe Zhang 0003 — Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
- Ruizhe Zhang 0004
— Huazhong University of Science and Technology, Wuhan, China
- Ruizhe Zhang 0005
— Tsinghua University, Beijing, China
- Ruizhe Zhang 0006 — Beijing Union University, Beijing, China
- Ruizhe Zhang 0007 — Pingdingshan University, Computer Science and Technic Academy Department, China
- Ruizhe Zhang 0008 — Hamlyn Centre, Department of Computing, London, UK
- Ruizhe Zhang 0009 — China Medical University, Sheng Jing Hospital, Shenyang, China
- Ruizhe Zhang 0010 — Shantou University, College of Engineering, China
- Ruizhe Zhang 0011 — Nanjing University of Posts and Telecommunications, School of Computer Science, China
- Ruizhe Zhang 0012 — Beihang University, Beijing, China
- Ruizhe Zhang 0013 — Peking University, Beijing, China
- Ruizhe Zhang 0014 — Central China Normal University, Wuhan, China
- Ruizhe Zhang 0015 — State Grid Beijing Electric Power Research Institute, China
- Ruizhe Zhang 0016 — Simons Institute for the Theory of Computing, Berkeley, CA, USA
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2020 – today
- 2024
- [c17]Zhao Song, Junze Yin, Lichen Zhang, Ruizhe Zhang:
Fast Dynamic Sampling for Determinantal Point Processes. AISTATS 2024: 244-252 - [c16]Lianke Qin, Zhao Song, Ruizhe Zhang:
A General Algorithm for Solving Rank-one Matrix Sensing. AISTATS 2024: 757-765 - [c15]Zhao Song, Lichen Zhang, Ruizhe Zhang:
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time. ITCS 2024: 93:1-93:15 - [i25]Yeqi Gao, Zhao Song, Ruizhe Zhang:
Quantum Speedup for Spectral Approximation of Kronecker Products. CoRR abs/2402.07027 (2024) - 2023
- [j3]Guoming Wang, Daniel Stilck França, Ruizhe Zhang, Shuchen Zhu, Peter Johnson:
Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision. Quantum 7: 1167 (2023) - [c14]Zhao Song, Baocheng Sun, Omri Weinstein, Ruizhe Zhang:
Quartic Samples Suffice for Fourier Interpolation. FOCS 2023: 1414-1425 - [c13]Ruizhe Zhang, Xinzhi Zhang:
A Hyperbolic Extension of Kadison-Singer Type Results. ICALP 2023: 108:1-108:14 - [c12]Josh Alman, Jiehao Liang, Zhao Song, Ruizhe Zhang, Danyang Zhuo:
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing. NeurIPS 2023 - [i24]Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang:
Convergence and Generalization of Wide Neural Networks with Large Bias. CoRR abs/2301.00327 (2023) - [i23]Lianke Qin, Zhao Song, Ruizhe Zhang:
A General Algorithm for Solving Rank-one Matrix Sensing. CoRR abs/2303.12298 (2023) - [i22]Ruizhe Zhang, Xinzhi Zhang:
A Hyperbolic Extension of Kadison-Singer Type Results. CoRR abs/2305.02566 (2023) - [i21]Yichuan Deng, Zhao Song, Lichen Zhang, Ruizhe Zhang:
Efficient Algorithm for Solving Hyperbolic Programs. CoRR abs/2306.07587 (2023) - [i20]Yeqi Gao, Zhao Song, Xin Yang, Ruizhe Zhang:
Fast Quantum Algorithm for Attention Computation. CoRR abs/2307.08045 (2023) - [i19]Zhao Song, Junze Yin, Ruizhe Zhang:
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters. CoRR abs/2311.14823 (2023) - 2022
- [j2]Ruizhe Zhang, Guoming Wang, Peter Johnson:
Computing Ground State Properties with Early Fault-Tolerant Quantum Computers. Quantum 6: 761 (2022) - [c11]Zhao Song, Ruizhe Zhang:
Hyperbolic Concentration, Anti-Concentration, and Discrepancy. APPROX/RANDOM 2022: 10:1-10:19 - [c10]Jason Gaitonde, Max Hopkins, Tali Kaufman, Shachar Lovett, Ruizhe Zhang:
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. APPROX/RANDOM 2022: 16:1-16:24 - [c9]Baihe Huang, Shunhua Jiang, Zhao Song, Runzhou Tao
, Ruizhe Zhang:
Solving SDP Faster: A Robust IPM Framework and Efficient Implementation. FOCS 2022: 233-244 - [c8]Sitan Chen, Zhao Song, Runzhou Tao
, Ruizhe Zhang:
Symmetric Sparse Boolean Matrix Factorization and Applications. ITCS 2022: 46:1-46:25 - [c7]Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. ITCS 2022: 47:1-47:16 - [c6]Yichuan Deng, Zhao Song, Omri Weinstein, Ruizhe Zhang:
Fast Distance Oracles for Any Symmetric Norm. NeurIPS 2022 - [c5]Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang:
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. NeurIPS 2022 - [c4]Tongyang Li, Ruizhe Zhang:
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits. NeurIPS 2022 - [i18]Baihe Huang, Zhao Song, Omri Weinstein, Hengjie Zhang, Ruizhe Zhang:
A Dynamic Fast Gaussian Transform. CoRR abs/2202.12329 (2022) - [i17]Jason Gaitonde, Max Hopkins, Tali Kaufman, Shachar Lovett, Ruizhe Zhang:
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. CoRR abs/2205.00644 (2022) - [i16]Zhao Song, Baocheng Sun, Omri Weinstein, Ruizhe Zhang:
Sparse Fourier Transform over Lattices: A Unified Approach to Signal Reconstruction. CoRR abs/2205.00658 (2022) - [i15]Yichuan Deng, Zhao Song, Omri Weinstein, Ruizhe Zhang:
Fast Distance Oracles for Any Symmetric Norm. CoRR abs/2205.14816 (2022) - [i14]Tongyang Li, Ruizhe Zhang:
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits. CoRR abs/2209.12897 (2022) - [i13]Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang:
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. CoRR abs/2210.06539 (2022) - [i12]Zhao Song, Baocheng Sun, Omri Weinstein, Ruizhe Zhang:
Quartic Samples Suffice for Fourier Interpolation. CoRR abs/2210.12495 (2022) - [i11]Josh Alman, Jiehao Liang, Zhao Song, Ruizhe Zhang, Danyang Zhuo:
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing. CoRR abs/2211.14227 (2022) - 2021
- [j1]Yuxuan Zhang, Ruizhe Zhang, Andrew C. Potter:
QED driven QAOA for network-flow optimization. Quantum 5: 510 (2021) - [c3]Scott Aaronson, Jiahui Liu, Qipeng Liu, Mark Zhandry, Ruizhe Zhang:
New Approaches for Quantum Copy-Protection. CRYPTO (1) 2021: 526-555 - [c2]Zhao Song, Shuo Yang, Ruizhe Zhang:
Does Preprocessing Help Training Over-parameterized Neural Networks? NeurIPS 2021: 22890-22904 - [i10]Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang:
Symmetric Boolean Factor Analysis with Applications to InstaHide. CoRR abs/2102.01570 (2021) - [i9]Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. CoRR abs/2108.03171 (2021) - [i8]Zhao Song, Shuo Yang, Ruizhe Zhang:
Does Preprocessing Help Training Over-parameterized Neural Networks? CoRR abs/2110.04622 (2021) - [i7]Zhao Song, Lichen Zhang, Ruizhe Zhang:
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time. CoRR abs/2112.07628 (2021) - [i6]Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [c1]Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang, Ruizhe Zhang:
On the Quantum Complexity of Closest Pair and Related Problems. CCC 2020: 16:1-16:43 - [i5]Scott Aaronson, Jiahui Liu, Ruizhe Zhang:
Quantum Copy-Protection from Hidden Subspaces. CoRR abs/2004.09674 (2020) - [i4]Zhao Song, Ruizhe Zhang:
Hyperbolic Polynomials I : Concentration and Discrepancy. CoRR abs/2008.09593 (2020) - [i3]Baihe Huang, Zhao Song, Runzhou Tao, Ruizhe Zhang, Danyang Zhuo:
InstaHide's Sample Complexity When Mixing Two Private Images. CoRR abs/2011.11877 (2020) - [i2]Scott Aaronson, Jiahui Liu, Qipeng Liu, Mark Zhandry, Ruizhe Zhang:
New Approaches for Quantum Copy-Protection. IACR Cryptol. ePrint Arch. 2020: 1339 (2020)
2010 – 2019
- 2019
- [i1]Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang, Ruizhe Zhang:
On the Quantum Complexity of Closest Pair and Related Problems. CoRR abs/1911.01973 (2019)
Coauthor Index
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last updated on 2024-08-23 19:22 CEST by the dblp team
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