| 2026 | STOC | Approximate Orthogonal Vectors and Diameter via Regularity Lemma. | Alexandr Andoni, Shunhua Jiang, Stepan Zharkov |
| 2025 | FOCS | Generalized Flow in Nearly-linear Time on Moderately Dense Graphs. | Shunhua Jiang, Michael Kapralov, Lawrence Li, Aaron Sidford |
| 2025 | ICALP | Acceleration Meets Inverse Maintenance: Faster ℓ | Deeksha Adil, Shunhua Jiang, Rasmus Kyng |
| 2025 | STOC | A Framework for Building Data Structures from Communication Protocols. | Alexandr Andoni, Shunhua Jiang, Omri Weinstein |
| 2024 | ISAAC | Hardness Amplification for Dynamic Binary Search Trees. | Shunhua Jiang, Victor Lecomte, Omri Weinstein, Sorrachai Yingchareonthawornchai |
| 2023 | FOCS | The Complexity of Dynamic Least-Squares Regression. | Shunhua Jiang, Binghui Peng, Omri Weinstein |
| 2022 | AAAI | Fast Graph Neural Tangent Kernel via Kronecker Sketching. | Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo |
| 2022 | FOCS | Solving SDP Faster: A Robust IPM Framework and Efficient Implementation. | Baihe Huang, Shunhua Jiang, Zhao Song, Runzhou Tao, Ruizhe Zhang |
| 2022 | ICALP | A Faster Interior-Point Method for Sum-Of-Squares Optimization. | Shunhua Jiang, Bento Natura, Omri Weinstein |
| 2022 | SPAA | The Energy Complexity of Las Vegas Leader Election. | Yi-Jun Chang, Shunhua Jiang |
| 2021 | STOC | A faster algorithm for solving general LPs. | Shunhua Jiang, Zhao Song, Omri Weinstein, Hengjie Zhang |
| 2021 | SPAA | Near-Optimal Time-Energy Trade-Offs for Deterministic Leader Election. | Yi-Jun Chang, Ran Duan, Shunhua Jiang |
| 2019 | SODA | A Faster External Memory Priority Queue with DecreaseKeys. | Shunhua Jiang, Kasper Green Larsen |
| 2017 | ICML | Learning Gradient Descent: Better Generalization and Longer Horizons. | Kaifeng Lv, Shunhua Jiang, Jian Li |