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ORCIDSihan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j13]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): 129 (2024)- [j12]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: 1-11 (2024) - [c16]Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis:
Testable Learning of General Halfspaces with Adversarial Label Noise. COLT 2024: 1308-1335 - [c15]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. CVPR 2024: 26648-26658 - [c14]Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu:
Online Robust Mean Estimation. SODA 2024: 3197-3235 - [c13]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: 152-159 - [c12]Ilias Diakonikolas, Daniel M. Kane, Sihan Liu:
Testing Closeness of Multivariate Distributions via Ramsey Theory. STOC 2024: 340-347 - [i12]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 abs/2404.00529 (2024) - [i11]Daniel Grier, Sihan Liu, Gaurav Mahajan:
Improved classical shadows from local symmetries in the Schur basis. CoRR abs/2405.09525 (2024) - [i10]Max Hopkins, Russell Impagliazzo, Daniel Kane, Sihan Liu, Christopher Ye:
Replicability in High Dimensional Statistics. CoRR abs/2406.02628 (2024) - [i9]Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis:
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise. CoRR abs/2408.17165 (2024) - 2023
- [j11]Liangbing Sa, Chongchong Yu, Zhaorui Hong, Tong Zheng, Sihan Liu:
A broader study of cross-domain few-shot object detection. Appl. Intell. 53(23): 29465-29485 (2023) - [c11]Sihan Liu, Gaurav Mahajan, Daniel Kane, Shachar Lovett, Gellért Weisz, Csaba Szepesvári:
Exponential Hardness of Reinforcement Learning with Linear Function Approximation. COLT 2023: 1588-1617 - [c10]Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Efficient Testable Learning of Halfspaces with Adversarial Label Noise. NeurIPS 2023 - [c9]Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett:
Sampling Equilibria: Fast No-Regret Learning in Structured Games. SODA 2023: 3817-3855 - [i8]Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan, Csaba Szepesvári, Gellért Weisz:
Exponential Hardness of Reinforcement Learning with Linear Function Approximation. CoRR abs/2302.12940 (2023) - [i7]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Efficient Testable Learning of Halfspaces with Adversarial Label Noise. CoRR abs/2303.05485 (2023) - [i6]Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu:
Online Robust Mean Estimation. CoRR abs/2310.15932 (2023) - [i5]Ilias Diakonikolas, Daniel M. Kane, Sihan Liu:
Testing Closeness of Multivariate Distributions via Ramsey Theory. CoRR abs/2311.13154 (2023) - [i4]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 abs/2312.12470 (2023) - 2022
- [j10]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: 107090 (2022) - [j9]Ming Zhang, Sihan Liu, Huiying Li:
Multi-Objective Route Planning for Aircraft Taxiing Under Different Traffic Conflict Types. J. Aerosp. Inf. Syst. 19(2): 124-142 (2022) - [c8]Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan:
Computational-Statistical Gap in Reinforcement Learning. COLT 2022: 1282-1302 - [c7]Sihan Liu, Tong Mu, Shicheng Xu, Guangyu He:
Research on cross-chain method based on distributed Digital Identity. ICBCT 2022: 59-73 - [c6]Clément L. Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu:
Nearly-Tight Bounds for Testing Histogram Distributions. NeurIPS 2022 - [i3]Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan:
Computational-Statistical Gaps in Reinforcement Learning. CoRR abs/2202.05444 (2022) - [i2]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Sihan Liu:
Near-Optimal Bounds for Testing Histogram Distributions. CoRR abs/2207.06596 (2022) - 2021
- [j8]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): 55 (2021) - [c5]Shicheng Xu, Sihan Liu, Guangyu He:
A Method of Federated Learning Based on Blockchain. CSAE 2021: 68:1-68:8 - [c4]Sihan Liu, Yue Wang:
Few-shot Learning with Online Self-Distillation. ICCVW 2021: 1067-1070 - 2020
- [j7]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): D517-D525 (2020) - [j6]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) - [i1]Vasilis Kontonis, Sihan Liu, Christos Tzamos:
Convergence and Sample Complexity of SGD in GANs. CoRR abs/2012.00732 (2020)
2010 – 2019
- 2019
- [j5]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: 16940-16951 (2019) - [j4]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): 033007 (2019) - [j3]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): 155 (2019) - [c3]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: 4419-4422 - [c2]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: 8796-8798 - 2017
- [j2]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): 137-148 (2017) - 2010
- [j1]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): 241-256 (2010)
2000 – 2009
- 2009
- [c1]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: 140-143
Coauthor Index
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