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2020 – today
- 2023
[j12]Weiguo Hu
, Min Liu, Mingyu Dong, Tao Liu, Yabin Zhang, Guanyi Cheng:
A greedy-based crow search algorithm for semiconductor final testing scheduling problem. Comput. Ind. Eng. 183: 109423 (2023)- [j11]Mingyu Dong, Diqun Yan, Rangding Wang:
Adversarial Examples Protect Your Privacy on Speech Enhancement System. Comput. Syst. Sci. Eng. 46(1): 1-12 (2023) - [j10]Qie Liu, Junhao Li, Mingyu Dong, Min Liu, Yi Chai:
Identification of Gene Regulatory Networks Using Variational Bayesian Inference in the Presence of Missing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 399-409 (2023) - [c7]Weiguo Hu, Shangwei Mao, Min Liu, Mingyu Dong, Yabin Zhang, Tao Liu:
Two Twin Extreme Learning Machines for Regression and Their Applications in Industry. IECON 2023: 1-6 - 2022
- [j9]Jinxing Gao, Diqun Yan, Mingyu Dong:
Black-box adversarial attacks through speech distortion for speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2022(1): 20 (2022) - [c6]Mingyu Dong, Chenqi Mou:
Analyses and Implementations of Chordality-Preserving Top-Down Algorithms for Triangular Decomposition. CASC 2022: 124-142 - [c5]Jiacheng Deng, Terui Mao, Diqun Yan, Li Dong, Mingyu Dong:
Detection of Synthetic Speech Based on Spectrum Defects. DDAM@MM 2022: 3-8 - [i3]Mingyu Dong, Diqun Yan, Rangding Wang:
Adversarial Privacy Protection on Speech Enhancement. CoRR abs/2206.08170 (2022) - [i2]Mingyu Dong, Jiahao Chen, Diqun Yan, Jingxing Gao, Li Dong, Rangding Wang:
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations. CoRR abs/2206.15128 (2022) - 2021
- [j8]Diqun Yan, Mingyu Dong, Jinxing Gao:
Exposing Speech Transsplicing Forgery with Noise Level Inconsistency. Secur. Commun. Networks 2021: 6659371:1-6659371:6 (2021) - [i1]Mingyu Dong, Diqun Yan, Yongkang Gong, Rangding Wang:
Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise. CoRR abs/2108.13562 (2021) - 2020
- [j7]Yunqiang Duan, Min Liu, Mingyu Dong:
A Metric-Learning-Based Nonlinear Modeling Algorithm and Its Application in Key-Performance-Indicator Prediction. IEEE Trans. Ind. Electron. 67(8): 7073-7082 (2020) - [j6]Fei Chang, Mingyu Dong, Min Liu, Ling Wang, Yunqiang Duan:
A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body. IEEE Trans. Instrum. Meas. 69(8): 5298-5307 (2020)
2010 – 2019
- 2019
- [c4]Fei Chang, Yunqiang Duan, Min Liu, Mingyu Dong:
Coarse-to-Fine Adaptive Illumination Hard-Adjustment for Vision Inspection System Under Uncertain Imaging Conditions. IEEE SENSORS 2019: 1-4 - 2017
- [j5]Zhichao Wang, Min Liu, Mingyu Dong, Lian Wu:
Riemannian Alternative Matrix Completion for Image-Based Flame Recognition. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2490-2503 (2017) - [c3]Huaguang Yan, Songsong Chen, Mingyu Dong, Xiaowei Zhou, Xinru Chen:
A day-ahead scheduling strategy of incentive demand response under retail power market deregulation. ICSAI 2017: 294-299 - 2015
- [j4]Kefeng Ning, Min Liu, Mingyu Dong:
A new robust ELM method based on a Bayesian framework with heavy-tailed distribution and weighted likelihood function. Neurocomputing 149: 891-903 (2015) - [j3]Kefeng Ning, Min Liu, Mingyu Dong, Cheng Wu, Zhansong Wu:
Two Efficient Twin ELM Methods With Prediction Interval. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2058-2071 (2015) - 2014
- [c2]Kefeng Ning, Min Liu, Mingyu Dong, Zhansong Wu:
Robust LS-SVR based on variational Bayesian and its applications. IJCNN 2014: 2920-2926 - 2012
- [c1]Mingyu Dong, Kefeng Ning, Min Liu:
A new ELM based on interval-value for modeling in industry systems. CASE 2012: 869-873 - 2010
- [j2]Guohu Li, Min Liu, Mingyu Dong:
A new online learning algorithm for structure-adjustable extreme learning machine. Comput. Math. Appl. 60(3): 377-389 (2010) - [j1]Min Liu, Mingyu Dong, Cheng Wu:
A New ANFIS for Parameter Prediction With Numeric and Categorical Inputs. IEEE Trans Autom. Sci. Eng. 7(3): 645-653 (2010)
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