Ming Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 70

Top Venues

CoRR

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

EITCE

University of Arizona, Tucson, USA (PHD)

Education History

University of Arizona, Tucson, USA

PHD

Publications

Ming Yuan, Jianchao Bai, Feng Jiang, Lin Du
A systematic DNN weight pruning framework based on symmetric accelerated stochastic ADMM. Neurocomputing 575 (2024)
Hao Li, Ming Yuan, Yan Zhang, Chenming Wu, Chen Zhao, Chunyu Song, Haocheng Feng, Errui Ding, Dingwen Zhang, Jingdong Wang
XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis. CoRR (2024)
Ming Yuan, Xuetong Wang, Han Lin, Hengqin Wu, Mingchuan Yu, Xiaobo Chen
Crafting Enviropreneurial Marketing Through Green Innovation: A Natural Resource-Based View. IEEE Trans. Engineering Management 71 (2024)
Ming Yuan, Lin Du, Feng Jiang, Jianchao Bai, Guanrong Chen
Reweighted Alternating Direction Method of Multipliers for DNN weight pruning. Neural Networks 179 (2024)
Junren Chen, Ming Yuan
Optimal Quantized Compressed Sensing via Projected Gradient Descent. CoRR (2024)
Ming Yuan, Hao Meng, Junbao Wu
AM YOLO: adaptive multi-scale YOLO for ship instance segmentation. J. Real Time Image Process. 21 (4) (2024)
Shouwen Cai, Hao Meng, Ming Yuan, Fei Gao
HA-Net: a SAR image ship detector based on hybrid attention. Multim. Syst. 30 (4) (2024)
Ming Yuan, Qiang Liu, Lin Gan, Guangwen Yang
ESFLOW: Mapping Large-Scale Earthquake Simulation to Spatial Computing Systems. ISCAS (2024)
Feng Zhou, Ming Yuan, Yu Liu, Hongbing Zhang, Mingyu Gu, Tongming Zhou
Niect: A Model for Intrusion Security Detection Applied to Campus Video Surveillance Edge Networks. CSCloud (2024)
Shouwen Cai, Hao Meng, Ming Yuan, Junbao Wu
FS-YOLO: a multi-scale SAR ship detection network in complex scenes. Signal Image Video Process. 18 (6) (2024)
Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao
Triangle-oriented Community Detection Considering Node Features and Network Topology. ACM Trans. Web 18 (1) (2024)
Junren Chen, Ming Yuan
One-Bit Phase Retrieval: Optimal Rates and Efficient Algorithms. CoRR (2024)
Jinshan Cao, Wenshu Bao, Haixing Shang, Ming Yuan, Qian Cheng
GCL-YOLO: A GhostConv-Based Lightweight YOLO Network for UAV Small Object Detection. Remote. Sens. 15 (20) (2023)
Runshi Tang, Ming Yuan, Anru R. Zhang
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model. CoRR (2023)
Ming Yuan, Dong Xu
Spatio-Temporal Feature Pyramid Interactive Attention Network for Egocentric Gaze Prediction. IEEE Trans. Circuits Syst. Video Technol. 33 (10) (2023)
Wanteng Ma, Lilun Du, Dong Xia, Ming Yuan
Multiple Testing of Linear Forms for Noisy Matrix Completion. CoRR (2023)
Qifan Zhang, Jiamin Guo, Hui Chai, Guoxuan Zhang, Zhiyuan Yang, Ming Yuan, Qin Zhang, Yueyang Li, Yibin Li
Task-Level Intelligent Human-Robot Interaction for Assisting Multi-objective Autonomous Grasping Decision with Quadruped Robots. ROBIO (2023)
Zhenhua Liu, Yingying Ding, Ming Yuan, Baocang Wang
Black-Box Accountable Authority CP-ABE Scheme for Cloud-Assisted E-Health System. IEEE Syst. J. 17 (1) (2023)
Jiashuo Liang, Ming Yuan, Zhanzhao Ding, Siqi Ma, Xinhui Han, Chao Zhang
RaceBench: A Triggerable and Observable Concurrency Bug Benchmark. AsiaCCS (2023)
Jiayu Lou, Ligong Wang, Ming Yuan
On the α-index of minimally 2-connected graphs with given order or size. Discret. Appl. Math. 339 (2023)
Ming Yuan, Bodong Zhao, Penghui Li, Jiashuo Liang, Xinhui Han, Xiapu Luo, Chao Zhang
DDRace: Finding Concurrency UAF Vulnerabilities in Linux Drivers with Directed Fuzzing. USENIX Security Symposium (2023)
Ming Yuan, Qiang Liu, Quan Deng, Shengye Xiang, Lin Gan, Jinzhe Yang, Xiaohui Duan, Haohuan Fu, Guangwen Yang
FPGA-Accelerated Tersoff Multi-body Potential for Molecular Dynamics Simulations. ARC (2022)
Bodong Zhao, Zheming Li, Shisong Qin, Zheyu Ma, Ming Yuan, Wenyu Zhu, Zhihong Tian, Chao Zhang
StateFuzz: System Call-Based State-Aware Linux Driver Fuzzing. USENIX Security Symposium (2022)
Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao
Triangle-oriented Community Detection considering Node Features and Network Topology. CoRR (2022)
Arnab Auddy, Ming Yuan
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors. IEEE Trans. Inf. Theory 68 (12) (2022)
Yueyang Li, Ming Yuan, Mohammed Chadli, Zi-Peng Wang, Dong Zhao
Unknown Input Functional Observer Design for Discrete-Time Interval Type-2 Takagi-Sugeno Fuzzy Systems. IEEE Trans. Fuzzy Syst. 30 (11) (2022)
Xiangsong Zhang, Ming Yuan, Zhenhua Liu
Efficient and Automatic Pseudonym Management Scheme for VANET with Blockchain. FCS (2022)
Qun Liu, Hang Shu, Ming Yuan, Guoyin Wang
Fuzzy hierarchical network embedding fusing structural and neighbor information. Inf. Sci. 603 (2022)
Zhenhua Liu, Ming Yuan, Yingying Ding, Baocang Wang
Efficient Small-Batch Verification and Identification Scheme With Invalid Signatures in VANETs. IEEE Trans. Veh. Technol. 70 (12) (2021)
Ming Yuan, Yeseop Lee, Chao Zhang, Yun Li, Yan Cai, Bodong Zhao
RAProducer: efficiently diagnose and reproduce data race bugs for binaries via trace analysis. ISSTA (2021)
Ming Yuan, Qun Liu, Guoyin Wang, Yike Guo
HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. CICAI (2021)
Dong Xia, Ming Yuan
Effective Tensor Sketching via Sparsification. IEEE Trans. Inf. Theory 67 (2) (2021)
Arnab Auddy, Ming Yuan
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors. CoRR (2021)
Ming Yuan, Zhibing Zhong, Yi He
Application and Innovation of Five Elements Music Therapy in the Era of Artificial Intelligence. ISAIMS (2021)
Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. 22 (2021)
Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. CoRR (2021)
Krishnakumar Balasubramanian, Tong Li, Ming Yuan
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests. J. Mach. Learn. Res. 22 (2021)
Ming Yuan, Jiangtao Ren
Numerical Feature Transformation-based Sequence Generation Model for Multi-disease Diagnosis. Int. J. Pattern Recognit. Artif. Intell. 35 (10) (2021)
Lin Gan, Ming Yuan, Jinzhe Yang, Wenlai Zhao, Wayne Luk, Guangwen Yang
High performance reconfigurable computing for numerical simulation and deep learning. CCF Trans. High Perform. Comput. 2 (2) (2020)
Arnab Auddy, Ming Yuan
Perturbation Bounds for Orthogonally Decomposable Tensors and Their Applications in High Dimensional Data Analysis. CoRR (2020)
Jiashuo Liang, Guancheng Li, Chao Zhang, Ming Yuan, Xingman Chen, Xinhui Han
RIPT - An Efficient Multi-Core Record-Replay System. CCS (2020)
Huijie Gu, Jieping Hu, Mengdie Gu, Ming Yuan
Research and Design of Digital Content Management System Based on Microservice. EITCE (2020)
Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR (2020)
Ming Yuan
Comment: From Ridge Regression to Methods of Regularization. Technometrics 62 (4) (2020)
Ming Yuan, Shulin Yang, Mengdie Gu, Huijie Gu
Analysis and Research on Book Recommendation Model Based on Big Data. EITCE (2020)
Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. 2 (2) (2020)
Mengdie Gu, Shulin Yang, Huijie Gu, Ming Yuan
Research on the Application of Block Chain Technology in the Field of Book Sales. EITCE (2020)
Cuize Han, Ming Yuan
Information based complexity for high dimensional sparse functions. J. Complex. 57 (2020)
Ming Yuan, Muhammad Ahmad, Vikas Kumar, Ankur Teredesai
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. AI4SG@AAAI Fall Symposium (2020)
Dong Xia, Ming Yuan
Statistical Inferences of Linear Forms for Noisy Matrix Completion. CoRR (2019)
Han Chen, Garvesh Raskutti, Ming Yuan
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression. J. Mach. Learn. Res. 20 (2019)
Dong Xia, Ming Yuan
On Polynomial Time Methods for Exact Low-Rank Tensor Completion. Found. Comput. Math. 19 (6) (2019)
Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR (2019)
Shulei Wang, Ellen T. Arena, Jordan T. Becker, William M. Bement, Nathan M. Sherer, Kevin W. Eliceiri, Ming Yuan
Spatially Adaptive Colocalization Analysis in Dual-Color Fluorescence Microscopy. IEEE Trans. Image Process. 28 (9) (2019)
Ming Yuan, Zhilei Chai, Wenlai Zhao
Severe Convective Weather Classification in Remote Sensing Images by Semantic Segmentation. ICANN (3) (2019)
Weisheng Dong, Ming Yuan, Xin Li, Guangming Shi
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network. CoRR (2018)
Shulei Wang, Ellen T. Arena, Kevin W. Eliceiri, Ming Yuan
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. IEEE Trans. Image Process. 27 (2) (2018)
Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside
Quantifying predictive capability of electronic health records for the most harmful breast cancer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Dong Xia, Ming Yuan, Cun-Hui Zhang
Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries. CoRR (2017)
Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven
Breast Cancer Risk Prediction Using Electronic Health Records. ICHI (2017)
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR (2017)
Dong Xia, Ming Yuan
On Polynomial Time Methods for Exact Low Rank Tensor Completion. CoRR (2017)
Ming Yuan, Cun-Hui Zhang
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. IEEE Trans. Inf. Theory 63 (10) (2017)
Dong Xia, Ming Yuan
Tensor Sketching: Sparsification and Rank-One Projection. CoRR (2017)
Ming Yuan, Ye Li, Zhoujun Li
Hijacking Your Routers via Control-Hijacking URLs in Embedded Devices with Web Interfaces. ICICS (2017)
Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. 17 (2016)
Ming Yuan, Cun-Hui Zhang
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion. CoRR (2016)
Ming Yuan, Cun-Hui Zhang
On Tensor Completion via Nuclear Norm Minimization. Found. Comput. Math. 16 (4) (2016)
Chang-Cong Zhou, Zhen-Zhou Lu, Ji-Xiang Hu, Ming Yuan
Response CDF sensitivity and its solution based on sparse grid integration. Int. J. Syst. Sci. 47 (3) (2016)
Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Cunjin Luo, Kuanquan Wang, Qingjie Wang, Yongfeng Yuan, Zhili Li, Ming Yuan, Qince Li, Henggui Zhang
Investigation of the Functional Effects of KCNJ2-linked Short QT Syndrome on Electrical Conduction at Purkinje-Ventricle Junction at Low- and High- Frequency. CinC (2015)
Cunjin Luo, Kuanquan Wang, Ming Yuan, Zhili Li, Qingjie Wang, Yongfeng Yuan, Henggui Zhang, Qince Li
Effects of Amiodarone on Ventricular Excitation Associated with the KCNJ2-Linked Short QT Syndrome: Insights from a Modelling Study. CinC (2015)
Ming Yuan, Xiaoshi Sha, Xiao Liang, Ming Jiang, Jiaheng Wang, Chunming Zhao
Coding performance for signal dependent channels in visible light communication system. GlobalSIP (2015)
Sheng Xing, Junhai Zhai, Xiaolan Wang, Ming Yuan
A new resampling method of imbalanced large data based on class boundary. ICMLC (2015)
Ming Yuan, Ding-Xuan Zhou
Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition. CoRR (2015)
Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan
Human Memory Search as Initial-Visit Emitting Random Walk. NIPS (2015)
T. Tony Cai, Ming Yuan
Rate-Optimal Detection of Very Short Signal Segments. CoRR (2014)
Yixin Fang, Yang Feng, Ming Yuan
Regularized principal components of heritability. Comput. Stat. 29 (3) (2014)
Xi Quan Yang, Dian Yang, Ming Yuan, Xing Hua Lv
Scientific Literature Retrieval Model Based on Weighted Term Frequency. IIH-MSP (2014)
Ming Yuan, Cun-Hui Zhang
On Tensor Completion via Nuclear Norm Minimization. CoRR (2014)
Carlos Valencia, Ming Yuan
Radial basis function regularization for linear inverse problems with random noise. J. Multivar. Anal. 116 (2013)
Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman
High Dimensional Semiparametric Gaussian Copula Graphical Models. ICML (2012)
Ming Yuan
Discussion: Latent variable graphical model selection via convex optimization CoRR (2012)
Nan Du, Le Song, Alexander J. Smola, Ming Yuan
Learning Networks of Heterogeneous Influence. NIPS (2012)
Zhaosong Lu, Renato D. C. Monteiro, Ming Yuan
Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression. Math. Program. 131 (1-2) (2012)
Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman
The Nonparanormal SKEPTIC. CoRR (2012)
Lingyan Ruan, Ming Yuan, Hui Zou
Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models. Neural Comput. 23 (6) (2011)
Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz
Statistical Methods for Fighting Financial Crimes. Technometrics 52 (1) (2010)
Ming Yuan, Marten H. Wegkamp
Classification Methods with Reject Option Based on Convex Risk Minimization. J. Mach. Learn. Res. 11 (2010)
Ming Yuan
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming. J. Mach. Learn. Res. 11 (2010)
Vladimir Koltchinskii, Ming Yuan
Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. COLT (2008)
Hui Zou, Ming Yuan
Regularized simultaneous model selection in multiple quantiles regression. Comput. Stat. Data Anal. 52 (12) (2008)
Jinyu Li, Ming Yuan, Chin-Hui Lee
Approximate Test Risk Bound Minimization Through Soft Margin Estimation. IEEE Trans. Speech Audio Process. 15 (8) (2007)
Ming Yuan, V. Roshan Joseph, Yi Lin
An Efficient Variable Selection Approach for Analyzing Designed Experiments. Technometrics 49 (4) (2007)
Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan
Anomaly Detection in High-Dimensional Financial Databases. MLMTA (2007)
Ming Yuan
Nonnegative Garrote Component Selection in Functional ANOVA models. AISTATS (2007)
Jay F. Nunamaker Jr., Ming Yuan
A Singular Value Decomposition Approach to Automatic Concept Classification in Group Support Systems. ICIS (2007)
Ming Yuan
GACV for quantile smoothing splines. Comput. Stat. Data Anal. 50 (3) (2006)
Jinyu Li, Ming Yuan, Chin-Hui Lee
Soft margin estimation of hidden Markov model parameters. INTERSPEECH (2006)
Ming Yuan
Flexible temporal expression profile modelling using the Gaussian process. Comput. Stat. Data Anal. 51 (3) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming Yuan