Sihan Liu

64 papers A* 16B 1C 2Journal 37Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Parallel Retrieve Index MPT for Lifecycle Traceability of Large-Scale Manufacturing Products Based on Blockchain.
IEEE Trans. Ind. Informatics
Yueyan Hu, Min Huang, Jiliang Zhang, Dayu Jia, Guangyu He, Shicheng Xu, Sihan Liu, Xingwei Wang
2026 J jnl
Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination.
CoRR
Ilias Diakonikolas, Giannis Iakovidis, Daniel M. Kane, Sihan Liu
2026 J jnl
Testable Learning of General Halfspaces under Massart Noise.
CoRR
Ilias Diakonikolas, Giannis Iakovidis, Daniel M. Kane, Sihan Liu
2026 J jnl
Torque Estimation for Speed Sensorless Induction Motor Control With Virtual Voltage Injection at Extremely Low Speeds.
IEEE Trans. Ind. Electron.
Wei Sun, Sihan Liu, Dawei Li, Ronghai Qu
2025 A* conf
Batch List-Decodable Linear Regression via Higher Moments.
ICML
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas
2025 J jnl
Batch List-Decodable Linear Regression via Higher Moments.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas
2025 — conf
DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT.
MICCAI (14)
Tonghua Wan, Sihan Liu, Yuxin Cai, Shengcai Chen, Yan Wan, Bo Hu, Wu Qiu
2025 A* conf
Entangled Mean Estimation in High Dimensions.
STOC
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas
2025 J jnl
Entangled Mean Estimation in High-Dimensions.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas
2025 J jnl
From Generative to Episodic: Sample-Efficient Replicable Reinforcement Learning.
CoRR
Max Hopkins, Sihan Liu, Christopher Ye, Yuichi Yoshida
2025 — conf
IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation.
MICCAI (1)
Sihan Liu, Tonghua Wan, Yuxin Cai, Shengcai Chen, Bo Hu, Yan Wan, Wu Qiu
2025 A* conf
PTF Testing Lower Bounds for Non-Gaussian Component Analysis.
FOCS
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas
2025 J jnl
PTF Testing Lower Bounds for Non-Gaussian Component Analysis.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Thanasis Pittas
2025 J jnl
Replicable Distribution Testing.
CoRR
Ilias Diakonikolas, Jingyi Gao, Daniel M. Kane, Sihan Liu, Christopher Ye
2025 J jnl
Security risks and solutions of concurrent PBFT.
Expert Syst. Appl.
Yueyan Hu, Min Huang, Jiliang Zhang, Dayu Jia, Guangyu He, Shicheng Xu, Sihan Liu, Xingwei Wang
2025 — conf
The Design and Teaching Application of the Comprehensive Experimental Platform for Modular Embedded Intelligent Vehicles.
ICAIE
Jiru Wang, Sihan Liu, Tong Wu, Xin Wang, Lijuan Yu
2025 — conf
VideoDreamBooth: Subject-Driven Video Editing with Guided Multi-Path Fusion.
GAIIS
Sihan Liu
2024 A* conf
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization.
NeurIPS
Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris Kitani, László A. Jeni
2024 J jnl
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization.
CoRR
Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
2024 J jnl
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis
2024 J jnl
Improved classical shadows from local symmetries in the Schur basis.
CoRR
Daniel Grier, Sihan Liu, Gaurav Mahajan
2024 B conf
Multi-stage Programmable Raman Amplifier-based Online Transmission Optimization for Multi-band Dynamic Optical Networks.
GLOBECOM
Sihan Liu, Rentao Gu, Xiaoxuan Gao, Yuefeng Ji
2024 A* conf
Online Robust Mean Estimation.
SODA
Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu
2024 A* conf
Replicability in High Dimensional Statistics.
FOCS
Max Hopkins, Russell Impagliazzo, Daniel M. Kane, Sihan Liu, Christopher Ye
2024 J jnl
Replicability in High Dimensional Statistics.
CoRR
Max Hopkins, Russell Impagliazzo, Daniel Kane, Sihan Liu, Christopher Ye
2024 A* conf
Replicable Uniformity Testing.
NeurIPS
Sihan Liu, Christopher Ye
2024 J jnl
Replicable Uniformity Testing.
CoRR
Sihan Liu, Christopher Ye
2024 A* conf
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation.
CVPR
Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
Simultaneous Retrieval Algorithm of Water Cloud Optical and Microphysical Properties by High-Spectral-Resolution Lidar.
IEEE Trans. Geosci. Remote. Sens.
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
2024 J jnl
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.
Sihan Liu, Xinyi Niu
2024 A* conf
Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs.
STOC
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
2024 J jnl
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
2024 A* conf
Testable Learning of General Halfspaces with Adversarial Label Noise.
COLT
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis
2024 A* conf
Testing Closeness of Multivariate Distributions via Ramsey Theory.
STOC
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu
2023 J jnl
A broader study of cross-domain few-shot object detection.
Appl. Intell.
Liangbing Sa, Chongchong Yu, Zhaorui Hong, Tong Zheng, Sihan Liu
2023 A* conf
Efficient Testable Learning of Halfspaces with Adversarial Label Noise.
NeurIPS
Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
2023 J jnl
Efficient Testable Learning of Halfspaces with Adversarial Label Noise.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
2023 A* conf
Exponential Hardness of Reinforcement Learning with Linear Function Approximation.
COLT
Sihan Liu, Gaurav Mahajan, Daniel Kane, Shachar Lovett, Gellért Weisz, Csaba Szepesvári
2023 J jnl
Exponential Hardness of Reinforcement Learning with Linear Function Approximation.
CoRR
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan, Csaba Szepesvári, Gellért Weisz
2023 J jnl
Online Robust Mean Estimation.
CoRR
Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu
2023 J jnl
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation.
CoRR
Sihan Liu, Yiwei Ma, Xiaoqing Zhang, Haowei Wang, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
2023 A* conf
Sampling Equilibria: Fast No-Regret Learning in Structured Games.
SODA
Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett
2023 J jnl
Testing Closeness of Multivariate Distributions via Ramsey Theory.
CoRR
Ilias Diakonikolas, Daniel M. Kane, Sihan Liu
2022 A* conf
Computational-Statistical Gap in Reinforcement Learning.
COLT
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan
2022 J jnl
Computational-Statistical Gaps in Reinforcement Learning.
CoRR
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan
2022 J jnl
Core symptoms and symptom relationships of problematic internet use across early, middle, and late adolescence: A network analysis.
Comput. Hum. Behav.
Sihan Liu, Boya Xu, Di Zhang, Yuxin Tian, Xinchun Wu
2022 J jnl
Multi-Objective Route Planning for Aircraft Taxiing Under Different Traffic Conflict Types.
J. Aerosp. Inf. Syst.
Ming Zhang, Sihan Liu, Huiying Li
2022 J jnl
Near-Optimal Bounds for Testing Histogram Distributions.
CoRR
Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Sihan Liu
2022 A* conf
Nearly-Tight Bounds for Testing Histogram Distributions.
NeurIPS
Clément L. Canonne, Ilias Diakonikolas, Daniel Kane, Sihan Liu
2022 — conf
Research on cross-chain method based on distributed Digital Identity.
ICBCT
Sihan Liu, Tong Mu, Shicheng Xu, Guangyu He
2021 — conf
A Method of Federated Learning Based on Blockchain.
CSAE
Shicheng Xu, Sihan Liu, Guangyu He
2021 — conf
Few-shot Learning with Online Self-Distillation.
ICCVW
Sihan Liu, Yue Wang
2021 J jnl
Relation extraction for coal mine safety information using recurrent neural networks with bidirectional minimal gated unit.
EURASIP J. Wirel. Commun. Netw.
Xiulei Liu, Shoulu Hou, Zhihui Qin, Sihan Liu, Jian Zhang
2020 J jnl
CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database.
Nucleic Acids Res.
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
2020 J jnl
Convergence and Sample Complexity of SGD in GANs.
CoRR
Vasilis Kontonis, Sihan Liu, Christos Tzamos
2020 J jnl
DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data.
PLoS Comput. Biol.
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
2019 J jnl
A Two-Stage Energy-Efficient Approach for Joint Power Control and Channel Allocation in D2D Communication.
IEEE Access
Sihan Liu, Yucheng Wu, Liang Li, Xiaocui Liu, Weiyang Xu
2019 C conf
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
Chunyan Zhou, Yuhuan Zhang, Zunjian Bian, Yingxia He, Qing Li, Zhongting Wang, Lianhua Zhang, Pengfei Ma, Hui Chen, Jun Sun, Lin Ge, Sihan Liu
2019 J jnl
Estimating Land Surface Temperature from Landsat-8 Data using the NOAA JPSS Enterprise Algorithm.
Remote. Sens.
Xiangchen Meng, Jie Cheng, Shaohua Zhao, Sihan Liu, Yunjun Yao
2019 C conf
Introduction of GF-5 Satellite and Ability of Monitoring NO2 and O3 Column Density from EMI.
IGARSS
Chunyan Zhou, Zunjian Bian, Yingxia He, Qing Li, Sihan Liu, Shaohua Zhao, Liangxiao Cheng, Chao Yu, Liangfu Chen, Zhongting Wang, Lianhua Zhang
2019 J jnl
Remote sensing image fusion algorithm based on mutual-structure for joint filtering using saliency detection.
J. Electronic Imaging
Sihan Liu, Xiongfei Li, Xiaoli Zhang
2017 J jnl
An overview of satellite remote sensing technology used in China's environmental protection.
Earth Sci. Informatics
Shaohua Zhao, Qiao Wang, Ying Li, Sihan Liu, Zhongting Wang, Li Zhu, Zifeng Wang
2010 J jnl
The Angular and Spectral Kernel Model for BRDF and Albedo Retrieval.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Sihan Liu, Qiang Liu, Qinhuo Liu, Jianguang Wen, Xiaowen Li
2009 — conf
The Angular & Spectral Kernel Model for BRDF and Albedo Retrieval.
IGARSS (1)
Sihan Liu, Qiang Liu, Qinhuo Liu, Jianguang Wen, Xiaowen Li, Qing Xiao, Xiaozhou Xin