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Mingrui Zhang
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2020 – today
- 2024
- [j9]Meijuan Huang, Yutian Liu, Bo Yang, Yanqi Zhao, Mingrui Zhang:
Efficient Revocable Attribute-Based Encryption with Data Integrity and Key Escrow-Free. Inf. 15(1): 32 (2024) - [c34]Mingrui Zhang, Yajie Li, Kongni Zhu, Shuang Wei, Yuang Li, Yongli Zhao, Jie Zhang:
Experimental Demonstration of An Efficient Correlation Attack Method in 300km QAM/QNSC Transmission. OFC 2024: 1-3 - [c33]Kongni Zhu, Yuang Li, Mingrui Zhang, Yajie Li, Yongli Zhao, Jie Zhang:
2.5 Gbps Error-free Physical Layer Key Distribution based on Signal Hiding over 80-km SSMF. OFC 2024: 1-3 - [i16]Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott:
Towards Universal Mesh Movement Networks. CoRR abs/2407.00382 (2024) - 2023
- [j8]Mingrui Zhang
, Mading Li, Jiahao Yu, Li Chen
:
Aesthetic Photo Collage With Deep Reinforcement Learning. IEEE Trans. Multim. 25: 4653-4664 (2023) - [c32]Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu:
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. BIBM 2023: 2769-2776 - [c31]Mingrui Zhang, Chijin Zhou
, Jianzhong Liu, Mingzhe Wang, Jie Liang, Juan Zhu, Yu Jiang:
Daisy: Effective Fuzz Driver Synthesis with Object Usage Sequence Analysis. ICSE-SEIP 2023: 87-98 - [c30]Mingrui Zhang
, Ming Chen
, Yan Zhou
, Li Chen
, Weihua Jian
, Pengfei Wan
:
Automatic Human Scene Interaction through Contact Estimation and Motion Adaptation. ACM Multimedia 2023: 7628-7637 - 2022
- [j7]Wen Yan
, Li Wei
, Difu Zhan, Dan Su, Mingrui Zhang
:
Robustness Analysis and Controller Design Based on a Generalized Model of Nonisolated Multiphase DC-DC Converter. IEEE Access 10: 14846-14856 (2022) - [c29]Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun:
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. BIBM 2022: 3320-3327 - [c28]Jiahao Yu, Li Chen, Mingrui Zhang, Mading Li:
SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage. CVPR 2022: 3719-3728 - [c27]Mingrui Zhang, Jianhong Wang, James B. Tlhomole, Matthew D. Piggott:
Learning to Estimate and Refine Fluid Motion with Physical Dynamics. ICML 2022: 26575-26590 - [c26]Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang:
M2N: Mesh Movement Networks for PDE Solvers. NeurIPS 2022 - [c25]Jianfei Shao, Minh Vu, Mingrui Zhang, Asmita Jayswal, Lisong Xu
:
Symbolic ns-3 for Efficient Exhaustive Testing: Design, Implementation, and Simulations. WNS3 2022: 49-56 - [i15]Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang:
M2N: Mesh Movement Networks for PDE Solvers. CoRR abs/2204.11188 (2022) - [i14]Yu Fang, Jiancheng Liu, Mingrui Zhang, Jiasheng Zhang, Yidong Ma, Minchen Li, Yuanming Hu, Chenfanfu Jiang, Tiantian Liu:
Complex Locomotion Skill Learning via Differentiable Physics. CoRR abs/2206.02341 (2022) - [i13]Mingrui Zhang, Jianhong Wang, James Tlhomole, Matthew D. Piggott:
Learning to Estimate and Refine Fluid Motion with Physical Dynamics. CoRR abs/2206.10480 (2022) - [i12]Joseph G. Wallwork, Jingyi Lu, Mingrui Zhang, Matthew D. Piggott:
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation. CoRR abs/2207.11233 (2022) - [i11]Siyi Li, Mingrui Zhang, Matthew D. Piggott:
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning. CoRR abs/2211.13649 (2022) - 2021
- [j6]Mingrui Zhang, Mitchell Adkins, Zhe Wang
:
Recent Progress on Semiconductor-Interface Facing Clinical Biosensing. Sensors 21(10): 3467 (2021) - [c24]Mingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang
, Yu Jiang:
IntelliGen: Automatic Driver Synthesis for Fuzz Testing. ICSE (SEIP) 2021: 318-327 - [c23]Mingrui Zhang, Yajie Li, Haokun Song, Bo Wang, Yongli Zhao, Jie Zhang:
Security Analysis of Quantum Noise Stream Cipher under Fast Correlation Attack. OFC 2021: 1-3 - [i10]Mingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang, Yu Jiang:
IntelliGen: Automatic Driver Synthesis for FuzzTesting. CoRR abs/2103.00862 (2021) - [i9]Mingrui Zhang, Mading Li, Li Chen, Jiahao Yu:
Aesthetic Photo Collage with Deep Reinforcement Learning. CoRR abs/2110.09775 (2021) - 2020
- [j5]Hong-xia Hou, Bo Yang, Mingrui Zhang, Yanwei Zhou, Meijuan Huang:
Fully secure wicked identity-based encryption resilient to continual auxiliary- inputs leakage. J. Inf. Secur. Appl. 53: 102521 (2020) - [c22]Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. AISTATS 2020: 1058-1070 - [c21]Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. AISTATS 2020: 3696-3706 - [c20]Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
One Sample Stochastic Frank-Wolfe. AISTATS 2020: 4012-4023 - [c19]Zhihang Dong, Tongshuang Wu, Sicheng Song, Mingrui Zhang:
Interactive Attention Model Explorer for Natural Language Processing Tasks with Unbalanced Data Sizes. PacificVis 2020: 46-50 - [c18]Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi:
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models. ICML 2020: 1670-1680 - [c17]Cong Wang, Mingrui Zhang, Yu Jiang, Huafeng Zhang
, Zhenchang Xing, Ming Gu:
Escape from escape analysis of Golang. ICSE (SEIP) 2020: 142-151 - [c16]Yumeng Zhang, Gaoguo Jia, Li Chen, Mingrui Zhang, Junhai Yong:
Self-Paced Video Data Augmentation by Generative Adversarial Networks with Insufficient Samples. ACM Multimedia 2020: 1652-1660 - [c15]Chao Lei, Jie Zhang, Yajie Li, Yongli Zhao, Bo Wang, Hang Gao, Junjia Li, Mingrui Zhang:
Long-Haul and High-Speed Key Distribution Based on One-Way Non-Dual Arbitrary Basis Transformation in Optical Fiber Link. OFC 2020: 1-3 - [c14]Mingrui Zhang, Matthew D. Piggott:
Unsupervised Learning of Particle Image Velocimetry. ISC Workshops 2020: 102-115 - [i8]Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi:
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models. CoRR abs/2002.04725 (2020) - [i7]Mingrui Zhang, Matthew D. Piggott:
Unsupervised Learning of Particle Image Velocimetry. CoRR abs/2007.14487 (2020)
2010 – 2019
- 2019
- [j4]Zongyong Cui
, Mingrui Zhang, Zongjie Cao
, Changjie Cao:
Image Data Augmentation for SAR Sensor via Generative Adversarial Nets. IEEE Access 7: 42255-42268 (2019) - [c13]Lin Chen, Mingrui Zhang, Amin Karbasi:
Projection-Free Bandit Convex Optimization. AISTATS 2019: 2047-2056 - [c12]Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. NeurIPS 2019: 9206-9217 - [i6]Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. CoRR abs/1901.09515 (2019) - [i5]Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization. CoRR abs/1902.06332 (2019) - [i4]Yumeng Zhang, Gaoguo Jia, Li Chen, Mingrui Zhang, Jun-Hai Yong:
Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks. CoRR abs/1909.12929 (2019) - [i3]Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
One Sample Stochastic Frank-Wolfe. CoRR abs/1910.04322 (2019) - [i2]Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. CoRR abs/1910.12424 (2019) - 2018
- [c11]Mingrui Zhang, Zongyong Cui, Xianyuan Wang, Zongjie Cao:
Data Augmentation Method of SAR Image Dataset. IGARSS 2018: 5292-5295 - [i1]Lin Chen, Mingrui Zhang, Amin Karbasi:
Projection-Free Bandit Convex Optimization. CoRR abs/1805.07474 (2018) - 2015
- [j3]Mingrui Zhang, Zhichao Du, Xianqi Lin, Jie Chen:
Control Strategy Design and Parameter Selection for Suppressing Circulating Current Among SSTs in Parallel. IEEE Trans. Smart Grid 6(4): 1602-1609 (2015) - 2013
- [c10]Mingrui Zhang, Chuanmin Hu, Guleng Amu:
Real-world problem solving in entry-level programming courses: A case study on the Deepwater Horizon oil spill. FIE 2013: 343-348 - 2012
- [c9]Stephen Williams, Anita N. Vasavada, Jacques Nicolas Beneat, Gregorio Cappuccino, David C. Lin
, Warren A. Rosen, M. Eric Carr, Kirk Reinkens, Mingrui Zhang, Francesco A. Amoroso:
Special session: IEEE Real World Engineering Projects: Discovery-based curriculum modules for first-year students. FIE 2012: 1-2 - 2011
- [c8]Mingrui Zhang, Yingxu Liu, Yichen Jiang, Zhifu Sun
, Ping Yang:
Model based user interface design for predicting lung cancer treatment outcomes. EMBC 2011: 75-78 - [c7]Mingrui Zhang, Beya Adamu, Chi-Cheng Lin, Ping Yang:
Gene expression analysis with integrated fuzzy C-means and pathway analysis. EMBC 2011: 936-939
2000 – 2009
- 2009
- [c6]Mingrui Zhang, Scott Olson, Joan M. Francioni, Tim Gegg-Harrison, Nan Meng, Zhifu Sun, Ping Yang:
Integrating R Models with Web Technologies. HEALTHINF 2009: 411-415 - [c5]Chi-Cheng Lin, Mingrui Zhang, Barbara Beck, Gayle Olsen:
Embedding computer science concepts in K-12 science curricula. SIGCSE 2009: 539-543 - 2008
- [c4]Mingrui Zhang, Terry M. Therneau, Michael A. McKenzie, Peter W. Li, Ping Yang:
A fuzzy c-means algorithm using a correlation metrics and gene ontology. ICPR 2008: 1-4 - 2007
- [c3]Mingrui Zhang, Chi-Cheng Lin, Gayle Olsen, Barbara Beck:
A bioinformatics track with outreach components. ITiCSE 2007: 186-190 - [c2]Mingrui Zhang, Eugene Lundak, Chi-Cheng Lin, Tim Gegg-Harrison, Joan M. Francioni:
Interdisciplinary application tracks in an undergraduate computer science curriculum. SIGCSE 2007: 425-429 - 2002
- [j2]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof:
A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. IEEE Trans. Syst. Man Cybern. Part B 32(5): 571-582 (2002) - 2000
- [j1]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger:
Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. Int. J. Pattern Recognit. Artif. Intell. 14(8): 987-1007 (2000)
1990 – 1999
- 1996
- [c1]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof:
Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. ICPR 1996: 452-456
Coauthor Index
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