Guanghao Ye

18 papers A* 7A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.
CoRR
Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
2025 J jnl
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time.
J. ACM
Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Sushant Sachdeva, Richard Peng, Guanghao Ye
2025 J jnl
On the Emergence of Thinking in LLMs I: Searching for the Right Intuition.
CoRR
Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang, Sivakanth Gopi, Baolin Peng, Beibin Li, Janardhan Kulkarni, Huseyin A. Inan
2024 A* conf
Fast Algorithms for Separable Linear Programs.
SODA
Sally Dong, Gramoz Goranci, Lawrence Li, Sushant Sachdeva, Guanghao Ye
2024 A conf
Faster Min-Cost Flow and Approximate Tree Decomposition on Bounded Treewidth Graphs.
ESA
Sally Dong, Guanghao Ye
2024 A* conf
Improving the Bit Complexity of Communication for Distributed Convex Optimization.
STOC
Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye
2024 J jnl
Improving the Bit Complexity of Communication for Distributed Convex Optimization.
CoRR
Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye
2023 J jnl
Fast Algorithms for Separable Linear Programs.
CoRR
Sally Dong, Gramoz Goranci, Lawrence Li, Sushant Sachdeva, Guanghao Ye
2023 J jnl
Faster Min-Cost Flow on Bounded Treewidth Graphs.
CoRR
Sally Dong, Guanghao Ye
2022 A* conf
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions.
NeurIPS
Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
2022 A* conf
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity.
NeurIPS
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
2022 J jnl
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity.
CoRR
Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
2022 A* conf
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time.
SODA
Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye
2022 J jnl
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time.
CoRR
Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye
2021 A* conf
A nearly-linear time algorithm for linear programs with small treewidth: a multiscale representation of robust central path.
STOC
Sally Dong, Yin Tat Lee, Guanghao Ye
2020 J jnl
A Nearly-Linear Time Algorithm for Linear Programs with Small Treewidth: A Multiscale Representation of Robust Central Path.
CoRR
Sally Dong, Yin Tat Lee, Guanghao Ye
2020 A* conf
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time.
NeurIPS
Jerry Li, Guanghao Ye
2020 J jnl
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time.
CoRR
Jerry Li, Guanghao Ye