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ORCIDMingyu Zhong
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2020 – today
- 2024
[j11]Mingyu Zhong
, Jing Sun, Peng Ren, Fasheng Wang, Fuming Sun:
MAGNet: Multi-scale Awareness and Global fusion Network for RGB-D salient object detection. Knowl. Based Syst. 299: 112126 (2024)- 2022
- [j10]Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo:
FTAP: Feature transferring autonomous machine learning pipeline. Inf. Sci. 593: 385-397 (2022) - 2021
- [j9]Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang:
HAL: Hybrid active learning for efficient labeling in medical domain. Neurocomputing 456: 563-572 (2021) - [j8]Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi:
COVID-AL: The diagnosis of COVID-19 with deep active learning. Medical Image Anal. 68: 101913 (2021) - 2020
- [j7]Xing Wu, Mingyu Zhong, Yike Guo, Hamido Fujita:
The assessment of small bowel motility with attentive deformable neural network. Inf. Sci. 508: 22-32 (2020) - [j6]Xing Wu, Haolei Chen, Changgu Chen, Mingyu Zhong, Shaorong Xie, Yike Guo, Hamido Fujita:
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method. Knowl. Based Syst. 196: 105201 (2020) - [j5]Xing Wu, Jing Duan, Mingyu Zhong, Peng Li, Jianjia Wang:
VNF Chain Placement for Large Scale IoT of Intelligent Transportation. Sensors 20(14): 3819 (2020)
2010 – 2019
- 2019
- [c8]Xing Wu, Mingyu Zhong, Guofei Feng, Shaorong Xie, Yike Guo:
The Collaborative Strategy of Multiple USVs with Deep Reinforcement Learning Method. SoMeT 2019: 159-175 - 2017
- [c7]Xing Wu, Zhikang Du, Mingyu Zhong, Shuji Dai, Yazhou Liu:
Chinese Lyrics Generation Using Long Short-Term Memory Neural Network. IEA/AIE (2) 2017: 419-427 - 2010
- [j4]Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong:
An adaptive multiobjective approach to evolving ART architectures. IEEE Trans. Neural Networks 21(4): 529-550 (2010)
2000 – 2009
- 2008
- [j3]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. Mach. Learn. 71(1): 55-88 (2008) - [c6]Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. FLAIRS 2008: 35-40 - [c5]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Properties of the k-norm pruning algorithm for decision tree classifiers. ICPR 2008: 1-4 - 2007
- [j2]Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. Neural Comput. 19(10): 2840-2864 (2007) - [j1]Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. Neural Networks 20(2): 245-259 (2007) - [c4]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Experiments with an innovative tree pruning algorithm. Artificial Intelligence and Applications 2007: 385-390 - 2006
- [c3]Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi:
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. FLAIRS 2006: 604-609 - [c2]Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Experiments with Safe ARTMAP and Comparisons to Other ART Networks. IJCNN 2006: 720-727 - [c1]Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. IJCNN 2006: 1870-1877
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