Yuanhong Li - researchr alias

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Viewing Publication 1 - 19 from 19

2024

Event-Oriented Linkable Group Signature From LatticeYongli Tang, Deng Pan, Qing Ye, Yuanhong Li, Jinxia Yu. tce, 70(1):2224-2234, February 2024. [doi]

2023

Lattice-Based Group Signatures With Time-Bound Keys via Redactable SignaturesYongli Tang, Yuanhong Li, Qing Ye, Debiao He. tifs, 18:2696-2708, 2023. [doi]

CLA: A self-supervised contrastive learning method for leaf disease identification with domain adaptationRuzhun Zhao, Yuchang Zhu, Yuanhong Li. cea, 211:107967, August 2023. [doi]

2022

A Smartphone-Based Six-DOF Measurement Method With Marker DetectorYuchang Zhu, Yuan Huang, Yuanhong Li, Zhi Qiu, Zuoxi Zhao. tim, 71:1-14, 2022. [doi]

2020

Real-Time Pattern-Recognition of GPR Images with YOLO v3 Implemented by TensorflowYuanhong Li, Zuoxi Zhao, Yangfan Luo, Zhi Qiu. sensors, 20(22):6476, 2020. [doi]

Multi-Camera-Based Universal Measurement Method for 6-DOF of Rigid Bodies in World Coordinate SystemZuoxi Zhao, Yuchang Zhu, Yuanhong Li, Zhi Qiu, Yangfan Luo, Chaoshi Xie, Zhuangzhuang Zhang. sensors, 20(19):5547, 2020. [doi]

2014

Fingerprint Match Based on Key Minutiae and Optimal Statistical RegistrationYongliang Zhang, Shanshan Fang, Bing Zhou, Congmin Huang, Yuanhong Li. ccbr 2014: 208-215 [doi]

2013

Real-Time Rolled Fingerprint Construction Based on Key-Column ExtractionYongliang Zhang, Shanshan Fang, Yingjie Bian, Yuanhong Li. ccbr 2013: 201-207 [doi]

2011

A 16 bit low voltage low power Delta Sigma modulatorYongsheng Wang, Yuanhong Li, Mingyan Yu. emeit 2011: 3178-3181 [doi]

Tracking objects of arbitrary shape using Expectation-Maximization algorithmShuqing Zeng, Yuanhong Li, Yantao Shen. iros 2011: 4575-4580 [doi]

2009

Mesh refinement algorithms in an unstructured solver for multiphase flow simulation using discrete particlesYuanhong Li, Song-Charng Kong. jcphy, 228(17):6349-6360, 2009. [doi]

Simultaneous Localized Feature Selection and Model Detection for Gaussian MixturesYuanhong Li, Ming Dong, Jing Hua. pami, 31(5):953-960, 2009. [doi]

2008

Localized feature selection for clusteringYuanhong Li, Ming Dong, Jing Hua. prl, 29(1):10-18, 2008. [doi]

Localized feature selection for Gaussian mixtures using variational learningYuanhong Li, Ming Dong, Yunqian Ma. icpr 2008: 1-4 [doi]

Feature selection for clustering with constraints using Jensen-Shannon divergenceYuanhong Li, Ming Dong, Yunqian Ma. icpr 2008: 1-4 [doi]

2007

A Gaussian Mixture Model to Detect Clusters Embedded in Feature SubspaceMing Dong 0001, Jing Hua, Yuanhong Li. cominfsys, 7(4):337-352, 2007. [doi]

Localized Feature Selection for Clustering and its Application in Image GroupingYuanhong Li, Ming Dong, Jing Hua. icmcs 2007: 651-654 [doi]

2005

Classifiability-based omnivariate decision treesYuanhong Li, Ming Dong, Ravi Kothari. tnn, 16(6):1547-1560, 2005. [doi]

2003

Classifiability based omnivariate decision treesYuanhong Li, Ming Dong 0001. ijcnn 2003: 3223-3228 [doi]

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