Generalized Entropy for Splitting on Numerical Attributes in Decision Trees. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi (FLAIRS, 2006)

Experiments with Safe ARTMAP and Comparisons to Other ART Networks. - Mingyu Zhong; Bryan Rosander; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi; Samuel Richie (IJCNN, 2006)

Experiments with an innovative tree pruning algorithm. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (Artificial Intelligence and Applications, 2007)

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. - Mingyu Zhong; Dave Coggeshall; Ehsan Ghaneie; Thomas Pope; Mark Rivera; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi; Samuel Richie (Neural Comput., 2007)

Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. - Mingyu Zhong; Bryan Rosander; Michael Georgiopoulos; Georgios C. Anagnostopoulos; Mansooreh Mollaghasemi; Samuel Richie (Neural Networks, 2007)

A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance. - Jason R. Beck; Maria Garcia; Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (FLAIRS, 2008)

Properties of the k-norm pruning algorithm for decision tree classifiers. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ICPR, 2008)

A k -norm pruning algorithm for decision tree classifiers based on error rate estimation. - Mingyu Zhong; Michael Georgiopoulos; Georgios C. Anagnostopoulos (Mach. Learn., 2008)

An adaptive multiobjective approach to evolving ART architectures. - Assem Kaylani; Michael Georgiopoulos; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos; Christopher Sentelle; Mingyu Zhong (IEEE Trans. Neural Networks, 2010)

Chinese Lyrics Generation Using Long Short-Term Memory Neural Network. - Xing Wu 001; Zhikang Du; Mingyu Zhong; Shuji Dai; Yazhou Liu (IEA/AIE (2), 2017)

The Collaborative Strategy of Multiple USVs with Deep Reinforcement Learning Method. - Xing Wu 001; Mingyu Zhong; Guofei Feng; Shaorong Xie; Yike Guo (SoMeT, 2019)

The assessment of small bowel motility with attentive deformable neural network. - Xing Wu 001; Mingyu Zhong; Yike Guo; Hamido Fujita (Inf. Sci., 2020)

The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method. - Xing Wu 001; Haolei Chen; Changgu Chen; Mingyu Zhong; Shaorong Xie; Yike Guo; Hamido Fujita (Knowl. Based Syst., 2020)

VNF Chain Placement for Large Scale IoT of Intelligent Transportation. - Xing Wu 001; Jing Duan; Mingyu Zhong; Peng Li 017; Jianjia Wang (Sensors, 2020)

HAL: Hybrid active learning for efficient labeling in medical domain. - Xing Wu 001; Cheng Chen; Mingyu Zhong; Jianjia Wang (Neurocomputing, 2021)

COVID-AL: The diagnosis of COVID-19 with deep active learning. - Xing Wu 001; Cheng Chen; Mingyu Zhong; Jianjia Wang; Jun Shi 004 (Medical Image Anal., 2021)

FTAP: Feature transferring autonomous machine learning pipeline. - Xing Wu 001; Cheng Chen; Pan Li; Mingyu Zhong; Jianjia Wang; Quan Qian; Peng Ding; Junfeng Yao; Yike Guo (Inf. Sci., 2022)

MAGNet: Multi-scale Awareness and Global fusion Network for RGB-D salient object detection. - Mingyu Zhong; Jing Sun 012; Peng Ren; Fasheng Wang; Fuming Sun (Knowl. Based Syst., 2024)

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models. - Mingyu Zhong; Guanchu Wang; Yu-Neng Chuang; Na Zou 001 (ACL (1), 2025)

LESOD: Lightweight and efficient network for RGB-D salient object detection. - Mingyu Zhong; Jing Sun 012; Fasheng Wang; Fuming Sun (Pattern Recognit., 2026)