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Tongyang Li
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2020 – today
- 2024
- [j13]Xinzhao Wang
, Shengyu Zhang
A Quantum Algorithm Framework for Discrete Probability Distributions With Applications to Rényi Entropy Estimation. IEEE Trans. Inf. Theory 70(5): 3399-3426 (2024) - [c25]Zhiding Liang
Combining Parameterized Pulses and Contextual Subspace for More Practical VQE. DAC 2024: 122:1-122:6 - [c24]Hao Wang, Chenyi Zhang, Tongyang Li:
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss. ICLR 2024 - [c23]Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang:
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. ICML 2024 - [c22]Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li:
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. ICML 2024 - [c21]Wenhao He, Tongyang Li, Xiantao Li, Zecheng Li, Chunhao Wang, Ke Wang:
Efficient Optimal Control of Open Quantum Systems. TQC 2024: 3:1-3:23 - [c20]Jiachen Hu, Tongyang Li, Xinzhao Wang, Yecheng Xue, Chenyi Zhang, Han Zhong:
Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits. TQC 2024: 9:1-9:21 - [i34]Hao Wang, Chenyi Zhang, Tongyang Li:
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss. CoRR abs/2402.12745 (2024) - [i33]Chenyi Zhang, Tongyang Li:
Comparisons Are All You Need for Optimizing Smooth Functions. CoRR abs/2405.11454 (2024) - [i32]Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li:
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. CoRR abs/2406.03006 (2024) - [i31]Tongyang Li, Yuexin Su, Ziyi Yang, Shengyu Zhang:
Quantum Approximate Optimization Algorithms for Maxmimum Cut on Low-Girth Graphs. CoRR abs/2410.04409 (2024) - [i30]Rui Yang, Yuntian Gu, Ziruo Wang, Yitao Liang, Tongyang Li:
QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design. CoRR abs/2410.07961 (2024) - 2023
- [j12]Yan Zhu, Ge Bai, Yuexuan Wang, Tongyang Li, Giulio Chiribella:
Quantum autoencoders for communication-efficient cloud computing. Quantum Mach. Intell. 5(2): 1-15 (2023) - [j11]Yizhou Liu
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks. Quantum 7: 1030 (2023) - [c19]Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun:
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets. AAAI 2023: 10087-10094 - [c18]Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang:
Near-Optimal Quantum Coreset Construction Algorithms for Clustering. ICML 2023: 38881-38912 - [c17]Chenyi Zhang, Tongyang Li:
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions. ICML 2023: 41268-41299 - [c16]Minbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang:
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games. NeurIPS 2023 - [i29]Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang:
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. CoRR abs/2302.10796 (2023) - [i28]Minbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang:
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games. CoRR abs/2304.14197 (2023) - [i27]Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang:
Near-Optimal Quantum Coreset Construction Algorithms for Clustering. CoRR abs/2306.02826 (2023) - [i26]Zherui Chen, Yuchen Lu, Hao Wang, Yizhou Liu, Tongyang Li:
Quantum Langevin Dynamics for Optimization. CoRR abs/2311.15587 (2023) - [i25]Weiyuan Gong
A Theory of Digital Quantum Simulations in the Low-Energy Subspace. CoRR abs/2312.08867 (2023) - 2022
- [j10]Nai-Hui Chia
Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. J. ACM 69(5): 33:1-33:72 (2022) - [j9]Andrew M. Childs
Quantum simulation of real-space dynamics. Quantum 6: 860 (2022) - [c15]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 - [c14]Tongyang Li, Ruizhe Zhang:
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits. NeurIPS 2022 - [i24]Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang:
Quantum simulation of real-space dynamics. CoRR abs/2203.17006 (2022) - [i23]Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun:
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets. CoRR abs/2205.14988 (2022) - [i22]Xinyi Chen, Elad Hazan
Adaptive Online Learning of Quantum States. CoRR abs/2206.00220 (2022) - [i21]Tongyang Li, Ruizhe Zhang:
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits. CoRR abs/2209.12897 (2022) - [i20]Yizhou Liu, Weijie J. Su, Tongyang Li:
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks. CoRR abs/2209.14501 (2022) - [i19]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) - [i18]Tongyang Li, Xinzhao Wang, Shengyu Zhang:
A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions. CoRR abs/2212.01571 (2022) - [i17]Weiyuan Gong
Robustness of Quantum Algorithms for Nonconvex Optimization. CoRR abs/2212.02548 (2022) - [i16]Chenyi Zhang, Tongyang Li:
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions. CoRR abs/2212.03906 (2022) - 2021
- [j8]Chenyi Zhang, Jiaqi Leng, Tongyang Li
Quantum algorithms for escaping from saddle points. Quantum 5: 529 (2021) - [c13]Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear Classical and Quantum Algorithms for General Matrix Games. AAAI 2021: 8465-8473 - [c12]Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs
Quantum Exploration Algorithms for Multi-Armed Bandits. AAAI 2021: 10102-10110 - [c11]Troy Lee, Tongyang Li
On the Cut Dimension of a Graph. CCC 2021: 15:1-15:35 - [c10]Andrew M. Childs
Quantum Query Complexity with Matrix-Vector Products. ICALP 2021: 55:1-55:19 - [c9]Chenyi Zhang, Tongyang Li:
Escape saddle points by a simple gradient-descent based algorithm. NeurIPS 2021: 8545-8556 - [i15]Andrew M. Childs, Shih-Han Hung, Tongyang Li:
Quantum query complexity with matrix-vector products. CoRR abs/2102.11349 (2021) - [i14]Chenyi Zhang, Tongyang Li:
Escape saddle points by a simple gradient-descent based algorithm. CoRR abs/2111.14069 (2021) - 2020
- [j7]Wei Hong
Long-Term and Extensive Monitoring for Bee Colonies Based on Internet of Things. IEEE Internet Things J. 7(8): 7148-7155 (2020) - [j6]Shouvanik Chakrabarti, Andrew M. Childs
Quantum algorithms and lower bounds for convex optimization. Quantum 4: 221 (2020) - [c8]András Gilyén, Tongyang Li
Distributional Property Testing in a Quantum World. ITCS 2020: 25:1-25:19 - [c7]Nai-Hui Chia, Tongyang Li
Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming. MFCS 2020: 23:1-23:15 - [c6]Nai-Hui Chia, András Gilyén, Tongyang Li
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. STOC 2020: 387-400 - [i13]Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs:
Quantum exploration algorithms for multi-armed bandits. CoRR abs/2007.07049 (2020) - [i12]Chenyi Zhang, Jiaqi Leng, Tongyang Li:
Quantum Algorithms for Escaping from Saddle Points. CoRR abs/2007.10253 (2020) - [i11]Troy Lee, Tongyang Li, Miklos Santha, Shengyu Zhang:
On the cut dimension of a graph. CoRR abs/2011.05085 (2020) - [i10]Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear classical and quantum algorithms for general matrix games. CoRR abs/2012.06519 (2020)
2010 – 2019
- 2019
- [j5]Tongyang Li
Quantum Query Complexity of Entropy Estimation. IEEE Trans. Inf. Theory 65(5): 2899-2921 (2019) - [c5]Fernando G. S. L. Brandão, Amir Kalev, Tongyang Li
Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning. ICALP 2019: 27:1-27:14 - [c4]Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear quantum algorithms for training linear and kernel-based classifiers. ICML 2019: 3815-3824 - [c3]Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu:
Quantum Wasserstein Generative Adversarial Networks. NeurIPS 2019: 6778-6789 - [i9]Nai-Hui Chia, Tongyang Li
Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches. CoRR abs/1901.03254 (2019) - [i8]András Gilyén, Tongyang Li
Distributional property testing in a quantum world. CoRR abs/1902.00814 (2019) - [i7]Tongyang Li
Sublinear quantum algorithms for training linear and kernel-based classifiers. CoRR abs/1904.02276 (2019) - [i6]Shouvanik Chakrabarti, Andrew M. Childs, Shih-Han Hung, Tongyang Li
Quantum algorithm for estimating volumes of convex bodies. CoRR abs/1908.03903 (2019) - [i5]Nai-Hui Chia, András Gilyén, Tongyang Li
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. CoRR abs/1910.06151 (2019) - [i4]Shouvanik Chakrabarti, Yiming Huang, Tongyang Li
Quantum Wasserstein Generative Adversarial Networks. CoRR abs/1911.00111 (2019) - 2018
- [j4]Tongyang Li
Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique. Sensors 18(3): 866 (2018) - [j3]Zhonghai Ma
A Load Sequence Design Method for Hydraulic Piston Pump Based on Time-Related Markov Matrix. IEEE Trans. Reliab. 67(3): 1237-1248 (2018) - [i3]Shouvanik Chakrabarti, Andrew M. Childs, Tongyang Li
Quantum algorithms and lower bounds for convex optimization. CoRR abs/1809.01731 (2018) - 2017
- [j2]Andrew M. Childs
Efficient simulation of sparse Markovian quantum dynamics. Quantum Inf. Comput. 17(11&12): 901-947 (2017) - [c2]Yuexuan Wang, Zhaoquan Gu, Lei Song, Tongyang Li
Speeding up 3D Printing Using Multi-Head Slicing Algorithms. ES 2017: 99-106 - [i2]Fernando G. S. L. Brandão, Amir Kalev, Tongyang Li
Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning. CoRR abs/1710.02581 (2017) - [i1]Tongyang Li
Quantum query complexity of entropy estimation. CoRR abs/1710.06025 (2017) - 2015
- [c1]Tongyang Li
On Target Counting by Sequential Snapshots of Binary Proximity Sensors. EWSN 2015: 19-34 - 2014
- [j1]Tongyang Li:
An Improved Cournot Competition Model: consideration of Market Share objective. Discret. Math. Algorithms Appl. 6(1) (2014)
Coauthor Index
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last updated on 2024-12-02 22:35 CET by the dblp team
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