Liu, Sihan

11 publications

ICML 2025 Batch List-Decodable Linear Regression via Higher Moments Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas

NeurIPS 2025 Replicable Distribution Testing Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Sihan Liu, Christopher Ye

NeurIPS 2024 Don't Look Twice: Faster Video Transformers with Run-Length Tokenization Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris M. Kitani, László A. Jeni

NeurIPS 2024 Replicable Uniformity Testing Sihan Liu, Christopher Ye

CVPR 2024 Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji

COLT 2024 Testable Learning of General Halfspaces with Adversarial Label Noise Ilias Diakonikolas, Daniel Kane, Sihan Liu, Nikos Zarifis

NeurIPS 2023 Efficient Testable Learning of Halfspaces with Adversarial Label Noise Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis

COLT 2023 Exponential Hardness of Reinforcement Learning with Linear Function Approximation Sihan Liu, Gaurav Mahajan, Daniel Kane, Shachar Lovett, Gellért Weisz, Csaba Szepesvári

COLT 2022 Computational-Statistical Gap in Reinforcement Learning Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan

NeurIPS 2022 Nearly-Tight Bounds for Testing Histogram Distributions Clément L Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu

ICCVW 2021 Few-Shot Learning with Online Self-Distillation Sihan Liu, Yue Wang