Sihan Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Saliency Detection

Environmental Protection

Function Approximation

Top Venues

Publications

Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu
Online Robust Mean Estimation. SODA (2024)
Kai Zhang, Lingyun Wu, Daniel Rosenfeld, Detlef Müller, Chengcai Li, Chuanfeng Zhao, Eduardo Landulfo, Cristofer Jimenez, Shuaibo Wang, Xianzhe Hu, Weize Li, Xiaotao Li, Yao Sun, Sihan Liu, Lan Wu, Xueping Wan, Wentai Chen, Chong Liu, Jian Bai, Jing Li, Wenbo Sun, Sivakumar Venkataraman, Yudi Zhou, Zhiji Deng, Ming Liu, Miao Cheng, Zhewei Fu, Weilin Pan, Dong Liu
Simultaneous Retrieval Algorithm of Water Cloud Optical and Microphysical Properties by High-Spectral-Resolution Lidar. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu
Testing Closeness of Multivariate Distributions via Ramsey Theory. STOC (2024)
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs. STOC (2024)
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis
Testable Learning of General Halfspaces with Adversarial Label Noise. COLT (2024)
Sihan Liu, Xinyi Niu
Spatial Relationship of Inter-City Population Movement and Socio-Economic Determinants: A Case Study in China Using Multiscale Geographically Weighted Regression. ISPRS Int. J. Geo Inf. 13 (4) (2024)
Max Hopkins, Russell Impagliazzo, Daniel Kane, Sihan Liu, Christopher Ye
Replicability in High Dimensional Statistics. CoRR (2024)
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs. CoRR (2024)
Daniel Grier, Sihan Liu, Gaurav Mahajan
Improved classical shadows from local symmetries in the Schur basis. CoRR (2024)
Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
Efficient Testable Learning of Halfspaces with Adversarial Label Noise. NeurIPS (2023)
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
Efficient Testable Learning of Halfspaces with Adversarial Label Noise. CoRR (2023)
Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett
Sampling Equilibria: Fast No-Regret Learning in Structured Games. SODA (2023)
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu
Testing Closeness of Multivariate Distributions via Ramsey Theory. CoRR (2023)
Liangbing Sa, Chongchong Yu, Zhaorui Hong, Tong Zheng, Sihan Liu
A broader study of cross-domain few-shot object detection. Appl. Intell. 53 (23) (2023)
Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu
Online Robust Mean Estimation. CoRR (2023)
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan, Csaba Szepesvári, Gellért Weisz
Exponential Hardness of Reinforcement Learning with Linear Function Approximation. CoRR (2023)
Sihan Liu, Gaurav Mahajan, Daniel Kane, Shachar Lovett, Gellért Weisz, Csaba Szepesvári
Exponential Hardness of Reinforcement Learning with Linear Function Approximation. COLT (2023)
Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation. CoRR (2023)
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan
Computational-Statistical Gap in Reinforcement Learning. COLT (2022)
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan
Computational-Statistical Gaps in Reinforcement Learning. CoRR (2022)
Clément L. Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu
Nearly-Tight Bounds for Testing Histogram Distributions. NeurIPS (2022)
Sihan Liu, Boya Xu, Di Zhang, Yuxin Tian, Xinchun Wu
Core symptoms and symptom relationships of problematic internet use across early, middle, and late adolescence: A network analysis. Comput. Hum. Behav. 128 (2022)
Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Sihan Liu
Near-Optimal Bounds for Testing Histogram Distributions. CoRR (2022)
Ming Zhang, Sihan Liu, Huiying Li
Multi-Objective Route Planning for Aircraft Taxiing Under Different Traffic Conflict Types. J. Aerosp. Inf. Syst. 19 (2) (2022)
Sihan Liu, Tong Mu, Shicheng Xu, Guangyu He
Research on cross-chain method based on distributed Digital Identity. ICBCT (2022)
Sihan Liu, Yue Wang
Few-shot Learning with Online Self-Distillation. ICCVW (2021)
Xiulei Liu, Shoulu Hou, Zhihui Qin, Sihan Liu, Jian Zhang
Relation extraction for coal mine safety information using recurrent neural networks with bidirectional minimal gated unit. EURASIP J. Wirel. Commun. Netw. 2021 (1) (2021)
Shicheng Xu, Sihan Liu, Guangyu He
A Method of Federated Learning Based on Blockchain. CSAE (2021)
Brian P. Alcock, Amogelang R. Raphenya, Tammy T. Y. Lau, Kara K. Tsang, Mégane Bouchard, Arman Edalatmand, William Huynh, Anna-Lisa V. Nguyen, Annie A. Cheng, Sihan Liu, Sally Y. Min, Anatoly Miroshnichenko, Hiu-Ki Tran, Rafik E. Werfalli, Jalees A. Nasir, Martins Oloni, David J. Speicher, Alexandra Florescu, Bhavya Singh, Mateusz Faltyn, Anastasia Hernández-Koutoucheva, Arjun N. Sharma, Emily Bordeleau, Andrew C. Pawlowski, Haley L. Zubyk, Damion M. Dooley, Emma J. Griffiths, Finlay Maguire, Geoffrey L. Winsor, Robert G. Beiko, Fiona S. L. Brinkman, William W. L. Hsiao, Gary H. Van Domselaar, Andrew G. McArthur
CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res. 48 (Database-Issue) (2020)
Vasilis Kontonis, Sihan Liu, Christos Tzamos
Convergence and Sample Complexity of SGD in GANs. CoRR (2020)
Yi Jiang, Gina Giase, Kay Grennan, Annie W. Shieh, Yan Xia, Lide Han, Quan Wang, Qiang Wei, Rui Chen, Sihan Liu, Kevin P. White, Chao Chen, Bingshan Li, Chunyu Liu
DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data. PLoS Comput. Biol. 16 (4) (2020)
Chunyan Zhou, Zunjian Bian, Yingxia He, Qing Li, Sihan Liu, Shaohua Zhao, Liangxiao Cheng, Chao Yu, Liangfu Chen, Zhongting Wang, Lianhua Zhang
Introduction of GF-5 Satellite and Ability of Monitoring NO2 and O3 Column Density from EMI. IGARSS (2019)
Sihan Liu, Xiongfei Li, Xiaoli Zhang
Remote sensing image fusion algorithm based on mutual-structure for joint filtering using saliency detection. J. Electronic Imaging 28 (3) (2019)
Chunyan Zhou, Yuhuan Zhang, Zunjian Bian, Yingxia He, Qing Li, Zhongting Wang, Lianhua Zhang, Pengfei Ma, Hui Chen, Jun Sun, Lin Ge, Sihan Liu
Environmental Policies Assessment of Air Pollution and Spatio-Temporal Change of Tropospheric No2 Column Density of '2+26' Cities in the Past Nine Years Based on Omi Product. IGARSS (2019)
Xiangchen Meng, Jie Cheng, Shaohua Zhao, Sihan Liu, Yunjun Yao
Estimating Land Surface Temperature from Landsat-8 Data using the NOAA JPSS Enterprise Algorithm. Remote. Sens. 11 (2) (2019)
Sihan Liu, Yucheng Wu, Liang Li, Xiaocui Liu, Weiyang Xu
A Two-Stage Energy-Efficient Approach for Joint Power Control and Channel Allocation in D2D Communication. IEEE Access 7 (2019)
Shaohua Zhao, Qiao Wang, Ying Li, Sihan Liu, Zhongting Wang, Li Zhu, Zifeng Wang
An overview of satellite remote sensing technology used in China's environmental protection. Earth Sci. Informatics 10 (2) (2017)
Sihan Liu, Qiang Liu, Qinhuo Liu, Jianguang Wen, Xiaowen Li
The Angular and Spectral Kernel Model for BRDF and Albedo Retrieval. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 3 (3) (2010)
Sihan Liu, Qiang Liu, Qinhuo Liu, Jianguang Wen, Xiaowen Li, Qing Xiao, Xiaozhou Xin
The Angular & Spectral Kernel Model for BRDF and Albedo Retrieval. IGARSS (1) (2009)