Mingyu Zhong

21 papers B 3C 1Misc 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
LESOD: Lightweight and efficient network for RGB-D salient object detection.
Pattern Recognit.
Mingyu Zhong, Jing Sun, Fasheng Wang, Fuming Sun
2025 — conf
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models.
ACL (1)
Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang, Na Zou
2024 J jnl
MAGNet: Multi-scale Awareness and Global fusion Network for RGB-D salient object detection.
Knowl. Based Syst.
Mingyu Zhong, Jing Sun, Peng Ren, Fasheng Wang, Fuming Sun
2022 J jnl
FTAP: Feature transferring autonomous machine learning pipeline.
Inf. Sci.
Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo
2021 J jnl
COVID-AL: The diagnosis of COVID-19 with deep active learning.
Medical Image Anal.
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi
2021 J jnl
HAL: Hybrid active learning for efficient labeling in medical domain.
Neurocomputing
Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang
2020 J jnl
The assessment of small bowel motility with attentive deformable neural network.
Inf. Sci.
Xing Wu, Mingyu Zhong, Yike Guo, Hamido Fujita
2020 J jnl
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method.
Knowl. Based Syst.
Xing Wu, Haolei Chen, Changgu Chen, Mingyu Zhong, Shaorong Xie, Yike Guo, Hamido Fujita
2020 J jnl
VNF Chain Placement for Large Scale IoT of Intelligent Transportation.
Sensors
Xing Wu, Jing Duan, Mingyu Zhong, Peng Li, Jianjia Wang
2019 C conf
The Collaborative Strategy of Multiple USVs with Deep Reinforcement Learning Method.
SoMeT
Xing Wu, Mingyu Zhong, Guofei Feng, Shaorong Xie, Yike Guo
2017 — conf
Chinese Lyrics Generation Using Long Short-Term Memory Neural Network.
IEA/AIE (2)
Xing Wu, Zhikang Du, Mingyu Zhong, Shuji Dai, Yazhou Liu
2010 J jnl
An adaptive multiobjective approach to evolving ART architectures.
IEEE Trans. Neural Networks
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong
2008 J jnl
A
Mach. Learn.
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008 Misc conf
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance.
FLAIRS
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2008 B conf
Properties of the k-norm pruning algorithm for decision tree classifiers.
ICPR
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2007 J jnl
Experiments with Safe muARTMAP : Effect of the network parameters on the network performance.
Neural Networks
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2007 — conf
Experiments with an innovative tree pruning algorithm.
Artificial Intelligence and Applications
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos
2007 J jnl
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.
Neural Comput.
Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006 B conf
Experiments with Safe ARTMAP and Comparisons to Other ART Networks.
IJCNN
Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006 B conf
Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.
IJCNN
Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie
2006 Misc conf
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees.
FLAIRS
Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi