| Faster dynamic matrix inverse for faster lps S Jiang, Z Song, O Weinstein, H Zhang arXiv preprint arXiv:2004.07470, 2020 | 117 | 2020 |
| Learning gradient descent: Better generalization and longer horizons K Lv, S Jiang, J Li International Conference on Machine Learning, 2247-2255, 2017 | 110 | 2017 |
| Solving sdp faster: A robust ipm framework and efficient implementation B Huang, S Jiang, Z Song, R Tao, R Zhang 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 56 | 2022 |
| A faster algorithm for solving general lps S Jiang, Z Song, O Weinstein, H Zhang Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 53 | 2021 |
| Solving tall dense sdps in the current matrix multiplication time B Huang, S Jiang, Z Song, R Tao, R Zhang arXiv preprint arXiv:2101.08208 6, 1.1, 2021 | 13 | 2021 |
| A faster interior-point method for sum-of-squares optimization S Jiang, B Natura, O Weinstein Algorithmica 85 (9), 2843-2884, 2023 | 12 | 2023 |
| A faster external memory priority queue with decreasekeys S Jiang, KG Larsen Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019 | 12 | 2019 |
| A faster quantum algorithm for semidefinite programming via robust IPM framework B Huang, S Jiang, Z Song, R Tao, R Zhang arXiv preprint arXiv:2207.11154, 2022 | 8 | 2022 |
| Dynamic least-squares regression S Jiang, B Peng, O Weinstein arXiv e-prints, arXiv: 2201.00228, 2022 | 6 | 2022 |
| Tight revenue gaps among multi-unit mechanisms Y Jin, S Jiang, P Lu, H Zhang Proceedings of the 22nd ACM Conference on Economics and Computation, 654-673, 2021 | 6 | 2021 |
| Near-optimal time–energy tradeoffs for deterministic leader election YJ Chang, R Duan, S Jiang ACM Transactions on Algorithms 19 (4), 1-23, 2023 | 5 | 2023 |
| The energy complexity of Las Vegas leader election YJ Chang, S Jiang Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and …, 2022 | 4 | 2022 |
| Faster dynamic matrix inverse for faster lps. In arXiv preprint S Jiang, Z Song, O Weinstein, H Zhang | 4 | 2020 |
| The complexity of dynamic least-squares regression S Jiang, B Peng, O Weinstein 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS …, 2023 | 3 | 2023 |
| Fast Graph Neural Tangent Kernel via Kronecker Sketching S Jiang, Y Man, Z Song, Z Yu, D Zhuo Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 7033-7041, 2022 | 3 | 2022 |
| Supergeo Design: Generalized Matching for Geographic Experiments A Chen, N Doudchenko, S Jiang, C Stein, B Ying arXiv preprint arXiv:2301.12044, 2023 | | 2023 |
| Dynamic Least-Squares Regression B Peng, S Jiang, O WEINSTEIN | | 2021 |
| Graph Neural Network Acceleration via Matrix Dimension Reduction S Jiang, Y Man, Z Song, D Zhuo | | 2020 |
Zhao SongAdobe ResearchVerified email at ias.edu
