| 2026 | HPCA | DC-MBQC: A Distributed Compilation Framework for Measurement-Based Quantum Computing. | Yecheng Xue, Rui Yang, Zhiding Liang, Tongyang Li |
| 2026 | ICALP | Quantum Multi-Level Estimation of Functionals of Discrete Distributions. | Kean Chen, Minbo Gao, Tongyang Li, Qisheng Wang, Xinzhao Wang |
| 2025 | ICLR | Robustness of Quantum Algorithms for Nonconvex Optimization. | Weiyuan Gong, Chenyi Zhang, Tongyang Li |
| 2024 | DAC | Combining Parameterized Pulses and Contextual Subspace for More Practical VQE. | Zhiding Liang, Zhixin Song, Jinglei Cheng, Hang Ren, Tianyi Hao, Rui Yang, Yiyu Shi, Tongyang Li |
| 2024 | ICLR | Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss. | Hao Wang, Chenyi Zhang, Tongyang Li |
| 2024 | ICML | Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret. | Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang |
| 2024 | ICML | Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. | Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li |
| 2023 | AAAI | Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets. | Zongqi Wan, Zhijie Zhang, Tongyang Li, Jialin Zhang, Xiaoming Sun |
| 2023 | ICML | Near-Optimal Quantum Coreset Construction Algorithms for Clustering. | Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang |
| 2023 | ICML | Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions. | Chenyi Zhang, Tongyang Li |
| 2021 | AAAI | Sublinear Classical and Quantum Algorithms for General Matrix Games. | Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu |
| 2021 | AAAI | Quantum Exploration Algorithms for Multi-Armed Bandits. | Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs |
| 2021 | ICALP | Quantum Query Complexity with Matrix-Vector Products. | Andrew M. Childs, Shih-Han Hung, Tongyang Li |
| 2020 | MFCS | Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming. | Nai-Hui Chia, Tongyang Li, Han-Hsuan Lin, Chunhao Wang |
| 2020 | STOC | Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. | Nai-Hui Chia, Andrs Gilyn, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang |
| 2019 | ICALP | Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning. | Fernando G. S. L. Brando, Amir Kalev, Tongyang Li, Cedric Yen-Yu Lin, Krysta M. Svore, Xiaodi Wu |
| 2019 | ICML | Sublinear quantum algorithms for training linear and kernel-based classifiers. | Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu |
| 2015 | EWSN | On Target Counting by Sequential Snapshots of Binary Proximity Sensors. | Tongyang Li, Yongcai Wang, Lei Song, Haisheng Tan |