An Improved Cournot Competition Model: consideration of Market Share objective. - Tongyang Li (Discret. Math. Algorithms Appl., 2014)

On Target Counting by Sequential Snapshots of Binary Proximity Sensors. - Tongyang Li; Yongcai Wang; Lei Song; Haisheng Tan (EWSN, 2015)

Speeding up 3D Printing Using Multi-Head Slicing Algorithms. - Yuexuan Wang; Zhaoquan Gu; Lei Song; Tongyang Li; Heming Cui; Francis C. M. Lau 001 (ES, 2017)

Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning. - Fernando G. S. L. Brandão; Amir Kalev; Tongyang Li; Cedric Yen-Yu Lin; Krysta M. Svore; Xiaodi Wu 001 (CoRR, 2017)

Efficient simulation of sparse Markovian quantum dynamics. - Andrew M. Childs; Tongyang Li (Quantum Inf. Comput., 2017)

Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique. - Tongyang Li; Shaoping Wang; Enrico Zio; Jian Shi; Wei Hong (Sensors, 2018)

A Load Sequence Design Method for Hydraulic Piston Pump Based on Time-Related Markov Matrix. - Zhonghai Ma; Shaoping Wang; Chao Zhang 027; Mileta M. Tomovic; Tongyang Li (IEEE Trans. Reliab., 2018)

Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning. - Fernando G. S. L. Brandão; Amir Kalev; Tongyang Li; Cedric Yen-Yu Lin; Krysta M. Svore; Xiaodi Wu 001 (ICALP, 2019)

Sublinear quantum algorithms for training linear and kernel-based classifiers. - Tongyang Li; Shouvanik Chakrabarti; Xiaodi Wu 001 (ICML, 2019)

Quantum Wasserstein Generative Adversarial Networks. - Shouvanik Chakrabarti; Yiming Huang; Tongyang Li; Soheil Feizi; Xiaodi Wu 001 (NeurIPS, 2019)

Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches. - Nai-Hui Chia; Tongyang Li; Han-Hsuan Lin; Chunhao Wang (CoRR, 2019)

Quantum algorithm for estimating volumes of convex bodies. - Shouvanik Chakrabarti; Andrew M. Childs; Shih-Han Hung; Tongyang Li; Chunhao Wang; Xiaodi Wu 001 (CoRR, 2019)

Quantum Query Complexity of Entropy Estimation. - Tongyang Li; Xiaodi Wu 001 (IEEE Trans. Inf. Theory, 2019)

Distributional Property Testing in a Quantum World. - András Gilyén; Tongyang Li (ITCS, 2020)

Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming. - Nai-Hui Chia; Tongyang Li; Han-Hsuan Lin; Chunhao Wang (MFCS, 2020)

Long-Term and Extensive Monitoring for Bee Colonies Based on Internet of Things. - Wei Hong; Baohua Xu; Xuepeng Chi; Xuepei Cui; Yinfa Yan; Tongyang Li (IEEE Internet Things J., 2020)

Quantum algorithms and lower bounds for convex optimization. - Shouvanik Chakrabarti; Andrew M. Childs; Tongyang Li; Xiaodi Wu 001 (Quantum, 2020)

Quantum algorithms for machine learning and optimization. - Tongyang Li (2020)

Sublinear Classical and Quantum Algorithms for General Matrix Games. - Tongyang Li; Chunhao Wang; Shouvanik Chakrabarti; Xiaodi Wu 001 (AAAI, 2021)

Quantum Exploration Algorithms for Multi-Armed Bandits. - Daochen Wang; Xuchen You; Tongyang Li; Andrew M. Childs (AAAI, 2021)

On the Cut Dimension of a Graph. - Troy Lee; Tongyang Li; Miklos Santha; Shengyu Zhang 002 (CCC, 2021)

Quantum Query Complexity with Matrix-Vector Products. - Andrew M. Childs; Shih-Han Hung; Tongyang Li (ICALP, 2021)

Escape saddle points by a simple gradient-descent based algorithm. - Chenyi Zhang 003; Tongyang Li (NeurIPS, 2021)

Quantum algorithms for escaping from saddle points. - Chenyi Zhang 003; Jiaqi Leng; Tongyang Li (Quantum, 2021)

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. - Andrew M. Childs; Tongyang Li; Jin-Peng Liu; Chunhao Wang; Ruizhe Zhang 001 (NeurIPS, 2022)

Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits. - Tongyang Li; Ruizhe Zhang 001 (NeurIPS, 2022)

A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions. - Tongyang Li; Xinzhao Wang; Shengyu Zhang 002 (CoRR, 2022)

Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. - Nai-Hui Chia; András Pal Gilyén; Tongyang Li; Han-Hsuan Lin; Ewin Tang; Chunhao Wang (J. ACM, 2022)

Quantum simulation of real-space dynamics. - Andrew M. Childs; Jiaqi Leng; Tongyang Li; Jin-Peng Liu; Chenyi Zhang 003 (Quantum, 2022)

Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets. - Zongqi Wan; Zhijie Zhang 003; Tongyang Li; Jialin Zhang 001; Xiaoming Sun 001 (AAAI, 2023)

Near-Optimal Quantum Coreset Construction Algorithms for Clustering. - Yecheng Xue; Xiaoyu Chen; Tongyang Li; Shaofeng H.-C. Jiang (ICML, 2023)

Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions. - Chenyi Zhang 003; Tongyang Li (ICML, 2023)

Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games. - Minbo Gao; Zhengfeng Ji; Tongyang Li; Qisheng Wang (NeurIPS, 2023)

Quantum Langevin Dynamics for Optimization. - Zherui Chen; Yuchen Lu; Hao Wang; Yizhou Liu 001; Tongyang Li (CoRR, 2023)

A Theory of Digital Quantum Simulations in the Low-Energy Subspace. - Weiyuan Gong; Shuo Zhou; Tongyang Li (CoRR, 2023)

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks. - Yizhou Liu 001; Weijie J. Su; Tongyang Li (Quantum, 2023)

Quantum autoencoders for communication-efficient cloud computing. - Yan Zhu; Ge Bai; Yuexuan Wang; Tongyang Li; Giulio Chiribella (Quantum Mach. Intell., 2023)

Combining Parameterized Pulses and Contextual Subspace for More Practical VQE. - Zhiding Liang; Zhixin Song; Jinglei Cheng; Hang Ren; Tianyi Hao 003; Rui Yang; Yiyu Shi 001; Tongyang Li (DAC, 2024)

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss. - Hao Wang; Chenyi Zhang 003; Tongyang Li (ICLR, 2024)

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. - Han Zhong 001; Jiachen Hu; Yecheng Xue; Tongyang Li; Liwei Wang 001 (ICML, 2024)

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. - Yexin Zhang; Chenyi Zhang 003; Cong Fang 001; Liwei Wang 001; Tongyang Li (ICML, 2024)

Efficient Optimal Control of Open Quantum Systems. - Wenhao He; Tongyang Li; Xiantao Li; Zecheng Li; Chunhao Wang; Ke Wang (TQC, 2024)

Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits. - Jiachen Hu; Tongyang Li; Xinzhao Wang; Yecheng Xue; Chenyi Zhang 003; Han Zhong 001 (TQC, 2024)

Comparisons Are All You Need for Optimizing Smooth Functions. - Chenyi Zhang 003; Tongyang Li (CoRR, 2024)

Quantum Approximate Optimization Algorithms for Maxmimum Cut on Low-Girth Graphs. - Tongyang Li; Yuexin Su; Ziyi Yang; Shengyu Zhang (CoRR, 2024)

QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design. - Rui Yang; Yuntian Gu; Ziruo Wang; Yitao Liang; Tongyang Li (CoRR, 2024)

Adaptive Online Learning of Quantum States. - Xinyi Chen 001; Elad Hazan; Tongyang Li; Zhou Lu; Xinzhao Wang; Rui Yang (Quantum, 2024)

Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound. - Weiyuan Gong; Shuo Zhou; Tongyang Li (Quantum, 2024)

A Quantum Algorithm Framework for Discrete Probability Distributions With Applications to Rényi Entropy Estimation. - Xinzhao Wang; Shengyu Zhang 002; Tongyang Li (IEEE Trans. Inf. Theory, 2024)

Robustness of Quantum Algorithms for Nonconvex Optimization. - Weiyuan Gong; Chenyi Zhang 003; Tongyang Li (ICLR, 2025)

Quantum singular value transformation without block encodings: Near-optimal complexity with minimal ancilla. - Shantanav Chakraborty; Soumyabrata Hazra; Tongyang Li; Changpeng Shao; Xinzhao Wang; Yuxin Zhang (CoRR, 2025)

Efficient Classical Algorithms for Simulating Gaussian Boson Sampling on Graphs. - Yexin Zhang; Shuo Zhou; Xinzhao Wang; Ziruo Wang; Ziyi Yang; Rui Yang; Yecheng Xue; Tongyang Li (CoRR, 2025)

Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities. - Yuexin Su; Ziyi Yang; Peiyuan Huang; Tongyang Li; Yinyu Ye 001 (CoRR, 2025)

Shadow tomography of quantum states with prediction. - Jiyu Jiang; Zongqi Wan; Tongyang Li; Meiyue Shao; Jialin Zhang (Frontiers Comput. Sci., 2025)