Learning Gradient Descent: Better Generalization and Longer Horizons. - Kaifeng Lv; Shunhua Jiang; Jian Li 015 (ICML, 2017)

A Faster External Memory Priority Queue with DecreaseKeys. - Shunhua Jiang; Kasper Green Larsen (SODA, 2019)

Faster Dynamic Matrix Inverse for Faster LPs. - Shunhua Jiang; Zhao Song 002; Omri Weinstein; Hengjie Zhang (CoRR, 2020)

Tight Revenue Gaps among Multi-Unit Mechanisms. - Yaonan Jin; Shunhua Jiang; Pinyan Lu; Hengjie Zhang (EC, 2021)

Near-Optimal Time-Energy Trade-Offs for Deterministic Leader Election. - Yi-Jun Chang; Ran Duan; Shunhua Jiang (SPAA, 2021)

A faster algorithm for solving general LPs. - Shunhua Jiang; Zhao Song 002; Omri Weinstein; Hengjie Zhang (STOC, 2021)

Solving Tall Dense SDPs in the Current Matrix Multiplication Time. - Baihe Huang; Shunhua Jiang; Zhao Song 002; Runzhou Tao (CoRR, 2021)

Fast Graph Neural Tangent Kernel via Kronecker Sketching. - Shunhua Jiang; Yunze Man; Zhao Song 002; Zheng Yu; Danyang Zhuo (AAAI, 2022)

Solving SDP Faster: A Robust IPM Framework and Efficient Implementation. - Baihe Huang; Shunhua Jiang; Zhao Song 002; Runzhou Tao; Ruizhe Zhang 001 (FOCS, 2022)

The Energy Complexity of Las Vegas Leader Election. - Yi-Jun Chang; Shunhua Jiang (SPAA, 2022)

Dynamic Least-Squares Regression. - Shunhua Jiang; Binghui Peng; Omri Weinstein (CoRR, 2022)

Tight Revenue Gaps among Multiunit Mechanisms. - Yaonan Jin; Shunhua Jiang; Pinyan Lu; Hengjie Zhang (SIAM J. Comput., 2022)

The Complexity of Dynamic Least-Squares Regression. - Shunhua Jiang; Binghui Peng; Omri Weinstein (FOCS, 2023)

A Faster Interior-Point Method for Sum-of-Squares Optimization. - Shunhua Jiang; Bento Natura; Omri Weinstein (Algorithmica, 2023)

Near-Optimal Time-Energy Tradeoffs for Deterministic Leader Election. - Yi-Jun Chang; Ran Duan; Shunhua Jiang (ACM Trans. Algorithms, 2023)

Hardness Amplification for Dynamic Binary Search Trees. - Shunhua Jiang; Victor Lecomte; Omri Weinstein; Sorrachai Yingchareonthawornchai (ISAAC, 2024)

Acceleration Meets Inverse Maintenance: Faster ℓ∞-Regression. - Deeksha Adil; Shunhua Jiang; Rasmus Kyng (ICALP, 2025)

A Framework for Building Data Structures from Communication Protocols. - Alexandr Andoni; Shunhua Jiang; Omri Weinstein (STOC, 2025)