Tongyang Li

Orcid: 0000-0002-0338-413X

According to our database1, Tongyang Li authored at least 40 papers between 2014 and 2024.

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Bibliography

2024
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss.
CoRR, 2024

2023
Quantum autoencoders for communication-efficient cloud computing.
Quantum Mach. Intell., December, 2023

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks.
Quantum, June, 2023

A Theory of Digital Quantum Simulations in the Low-Energy Subspace.
CoRR, 2023

Quantum Langevin Dynamics for Optimization.
CoRR, 2023

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.
CoRR, 2023

Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions.
Proceedings of the International Conference on Machine Learning, 2023

Near-Optimal Quantum Coreset Construction Algorithms for Clustering.
Proceedings of the International Conference on Machine Learning, 2023

Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Quantum simulation of real-space dynamics.
Quantum, September, 2022

Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning.
J. ACM, 2022

Robustness of Quantum Algorithms for Nonconvex Optimization.
CoRR, 2022

A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions.
CoRR, 2022

Adaptive Online Learning of Quantum States.
CoRR, 2022

Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Quantum algorithms for escaping from saddle points.
Quantum, 2021

Escape saddle points by a simple gradient-descent based algorithm.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quantum Query Complexity with Matrix-Vector Products.
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

On the Cut Dimension of a Graph.
Proceedings of the 36th Computational Complexity Conference, 2021

Quantum Exploration Algorithms for Multi-Armed Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sublinear Classical and Quantum Algorithms for General Matrix Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Quantum algorithms and lower bounds for convex optimization.
Quantum, 2020

Long-Term and Extensive Monitoring for Bee Colonies Based on Internet of Things.
IEEE Internet Things J., 2020

Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming.
Proceedings of the 45th International Symposium on Mathematical Foundations of Computer Science, 2020

Distributional Property Testing in a Quantum World.
Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

2019
Quantum Query Complexity of Entropy Estimation.
IEEE Trans. Inf. Theory, 2019

Quantum algorithm for estimating volumes of convex bodies.
CoRR, 2019

Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches.
CoRR, 2019

Quantum Wasserstein Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sublinear quantum algorithms for training linear and kernel-based classifiers.
Proceedings of the 36th International Conference on Machine Learning, 2019

Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning.
Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019

2018
A Load Sequence Design Method for Hydraulic Piston Pump Based on Time-Related Markov Matrix.
IEEE Trans. Reliab., 2018

Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique.
Sensors, 2018

2017
Efficient simulation of sparse Markovian quantum dynamics.
Quantum Inf. Comput., 2017

Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning.
CoRR, 2017

Speeding up 3D Printing Using Multi-Head Slicing Algorithms.
Proceedings of the 5th International Conference on Enterprise Systems, 2017

2015
On Target Counting by Sequential Snapshots of Binary Proximity Sensors.
Proceedings of the Wireless Sensor Networks - 12th European Conference, 2015

2014
An Improved Cournot Competition Model: consideration of Market Share objective.
Discret. Math. Algorithms Appl., 2014


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