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Mingrui Yang
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2020 – today
- 2025
- [j11]Shibing Zhou, Xi Wang, Mingrui Yang, Wei Song:
Multi-view clustering with adaptive anchor and bipartite graph learning. Neurocomputing 611: 128627 (2025) - 2024
- [j10]Shibing Zhou, Mingrui Yang, Xi Wang, Wei Song:
Anchor-based scalable multi-view subspace clustering. Inf. Sci. 666: 120374 (2024) - [j9]Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang:
Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. SIAM J. Imaging Sci. 17(2): 1007-1039 (2024) - [i12]Andrew Seohwan Yu, Mohsen Hariri, Xuecen Zhang, Mingrui Yang, Vipin Chaudhary, Xiaojuan Li:
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2. CoRR abs/2408.04762 (2024) - [i11]Jiasen Zhang, Mingrui Yang, Weihong Guo, Brian A. Xavier, Michael Bolen, Xiaojuan Li:
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation. CoRR abs/2410.20154 (2024) - 2023
- [c14]Mingrui Yang, Dalin Zhang:
Deep Reinforcement Learning Guided Decision Tree Learning For Program Synthesis. SANER 2023: 925-932 - [i10]Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang:
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model. CoRR abs/2306.14097 (2023) - 2022
- [c13]Qunyi Chu, Shihua Liang, Mingrui Yang:
Visibility Analysis in Fog Weather Based on Convolution Neural Network and Transfer Learning. AIIPCC 2022: 294-298 - [c12]Mingrui Yang, Yu Wang, Xindong Zhang:
Multi-scale Fusion based Multi-stage Small Object Detection in Aerial Images ∗. EITCE 2022: 114-119 - 2020
- [i9]Mingrui Yang, Yun Jiang, Dan Ma, Bhairav B. Mehta, Mark A. Griswold:
Game of Learning Bloch Equation Simulations for MR Fingerprinting. CoRR abs/2004.02270 (2020) - [i8]Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020)
2010 – 2019
- 2019
- [j8]Bo Wei, Wen Hu, Mingrui Yang, Chun Tung Chou:
From Real to Complex: Enhancing Radio-based Activity Recognition Using Complex-Valued CSI. ACM Trans. Sens. Networks 15(3): 35:1-35:32 (2019) - 2018
- [i7]Bo Wei, Wen Hu, Mingrui Yang, Chun Tung Chou:
From Real to Complex: Enhancing Radio-based Activity Recognition Using Complex-Valued CSI. CoRR abs/1804.09588 (2018) - 2017
- [j7]Yiran Shen, Mingrui Yang, Bo Wei, Chun Tung Chou, Wen Hu:
Learn to Recognise: Exploring Priors of Sparse Face Recognition on Smartphones. IEEE Trans. Mob. Comput. 16(6): 1705-1717 (2017) - [j6]Prasant Misra, Wen Hu, Mingrui Yang, Marco F. Duarte, Sanjay Jha:
Sparsity Based Efficient Cross-Correlation Techniques in Sensor Networks. IEEE Trans. Mob. Comput. 16(7): 2037-2050 (2017) - 2016
- [j5]Mingrui Yang, Frank de Hoog, Yuqi Fan, Wen Hu:
Adaptive Sampling by Dictionary Learning for Hyperspectral Imaging. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4501-4509 (2016) - [j4]Yiran Shen, Wen Hu, Mingrui Yang, Junbin Liu, Bo Wei, Simon Lucey, Chun Tung Chou:
Real-Time and Robust Compressive Background Subtraction for Embedded Camera Networks. IEEE Trans. Mob. Comput. 15(2): 406-418 (2016) - [c11]Dehui Du, Ping Huang, Kaiqiang Jiang, Frédéric Mallet, Mingrui Yang:
MARTE/pCCSL: Modeling and Refining Stochastic Behaviors of CPSs with Probabilistic Logical Clocks. FACS 2016: 111-133 - 2015
- [j3]Shuo Shang, Jiajun Liu, Kun Zhao, Mingrui Yang, Kai Zheng, Ji-Rong Wen:
Dimension reduction with meta object-groups for efficient image retrieval. Neurocomputing 169: 50-54 (2015) - [j2]Mingrui Yang, Frank de Hoog:
Orthogonal Matching Pursuit With Thresholding and its Application in Compressive Sensing. IEEE Trans. Signal Process. 63(20): 5479-5486 (2015) - [c10]Bo Wei, Wen Hu, Mingrui Yang, Chun Tung Chou:
Radio-based device-free activity recognition with radio frequency interference. IPSN 2015: 154-165 - [i6]Prasant Misra, Wen Hu, Mingrui Yang, Marco F. Duarte, Sanjay Jha:
Sparsity based Efficient Cross-Correlation Techniques in Sensor Networks. CoRR abs/1501.06473 (2015) - [i5]Mingrui Yang, Frank de Hoog, Yuqi Fan, Wen Hu:
Compressive hyperspectral imaging via adaptive sampling and dictionary learning. CoRR abs/1512.00901 (2015) - 2014
- [c9]Yiran Shen, Wen Hu, Mingrui Yang, Bo Wei, Simon Lucey, Chun Tung Chou:
Face recognition on smartphones via optimised sparse representation classification. IPSN 2014: 237-248 - [c8]Mingrui Yang, Frank de Hoog:
New coherence and rip analysis for weak orthogonal matching pursuit. SSP 2014: 376-379 - [i4]Rajib Kumar Rana, Mingrui Yang, Tim Wark, Chun Tung Chou, Wen Hu:
SimpleTrack: Adaptive Trajectory Compression with Deterministic Projection Matrix for Mobile Sensor Networks. CoRR abs/1404.6151 (2014) - [i3]Mingrui Yang, Frank de Hoog:
New Coherence and RIP Analysis for Weak Orthogonal Matching Pursuit. CoRR abs/1405.3354 (2014) - 2013
- [c7]Bo Wei, Mingrui Yang, Yiran Shen, Rajib Kumar Rana, Chun Tung Chou, Wen Hu:
Real-time classification via sparse representation in acoustic sensor networks. SenSys 2013: 21:1-21:14 - [c6]Yiran Shen, Wen Hu, Mingrui Yang, Bo Wei, Chun Tung Chou:
Projection matrix optimisation for compressive sensing based applications in embedded systems. SenSys 2013: 22:1-22:2 - [i2]Mingrui Yang, Frank de Hoog:
Coherence and RIP Analysis for Greedy Algorithms in Compressive Sensing. CoRR abs/1307.1949 (2013) - [i1]Rajib Kumar Rana, Mingrui Yang, Tim Wark, Chun Tung Chou, Wen Hu:
A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression. CoRR abs/1307.6923 (2013) - 2012
- [c5]Prasant Misra, Wen Hu, Mingrui Yang, Sanjay Jha:
Efficient cross-correlation via sparse representation in sensor networks. IPSN 2012: 13-24 - [c4]Yiran Shen, Wen Hu, Mingrui Yang, Junbin Liu, Chun Tung Chou:
Efficient background subtraction for tracking in embedded camera networks. IPSN 2012: 103-104 - [c3]Bo Wei, Mingrui Yang, Rajib Kumar Rana, Chun Tung Chou, Wen Hu:
Distributed sparse approximation for frog sound classification. IPSN 2012: 105-106 - [c2]Yiran Shen, Wen Hu, Junbin Liu, Mingrui Yang, Bo Wei, Chun Tung Chou:
Efficient background subtraction for real-time tracking in embedded camera networks. SenSys 2012: 295-308 - [c1]Prasant Misra, Mingrui Yang, Wen Hu, Sanjay Jha:
A fast gradient projection algorithm for efficient cross-correlation via sparse representation in sensor networks. SenSys 2012: 333-334 - 2011
- [j1]Vladimir N. Temlyakov, Mingrui Yang, Peixin Ye:
Greedy approximation with regard to non-greedy bases. Adv. Comput. Math. 34(3): 319-337 (2011)
Coauthor Index
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