Classification of migraine stages based on resting-state EEG power. - Zehong Cao; Li-Wei Ko; Kuan-Lin Lai; Song-Bo Huang; Shuu-Jiun Wang; Chin-Teng Lin (IJCNN, 2015)

Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy. - Zehong Cao; Mukesh Prasad; Chin-Teng Lin (FUZZ-IEEE, 2017)

Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment. - Chin-Teng Lin; Chun-Hsiang Chuang; Zehong Cao; Avinash Kumar Singh; Chih-Sheng Hung; Yi-Hsin Yu; Mauro Nascimben; Yu-Ting Liu; Jung-Tai King; Tung-Ping Su; Shuu-Jiun Wang (IEEE Access, 2017)

Developing a migraine attack prediction system using resting-state EEG - Zehong Cao (2017)

A Multimodel Fusion Engine for Filtering Webpages. - Ziyun Deng; Tingqin He; Weiping Ding 001; Zehong Cao (IEEE Access, 2018)

Parallel Community Detection Based on Distance Dynamics for Large-Scale Network. - Tingqin He; Lijun Cai; Tao Meng; Lei Chen 045; Ziyun Deng; Zehong Cao (IEEE Access, 2018)

A Modified Distance Dynamics Model for Improvement of Community Detection. - Tao Meng; Lijun Cai; Tingqin He; Lei Chen 045; Ziyun Deng; Weiping Ding 001; Zehong Cao (IEEE Access, 2018)

Semi-Supervised Feature Learning for Off-Line Writer Identifications. - Shiming Chen 002; Yisong Wang; Chin-Teng Lin; Zehong Cao (CoRR, 2018)

Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. - Zehong Cao; Chin-Teng Lin; Kuan-Lin Lai; Li-Wei Ko; Jung-Tai King; Jong-Ling Fuh; Shuu-Jiun Wang (CoRR, 2018)

Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time. - Chun-Hsiang Chuang; Zehong Cao; Yu-Kai Wang; Po-Tsang Chen; Chih-Sheng Huang; Nikhil R. Pal; Chin-Teng Lin (CoRR, 2018)

Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation. - Zehong Cao; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2018)

A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue. - Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad; Zehong Cao; Jiandong Wang (IEEE Trans. Fuzzy Syst., 2018)

Enhancing Network Embedding with Implicit Clustering. - Qi Li 025; Jiang Zhong; Qing Li 022; Zehong Cao; Chen Wang 074 (DASFAA (1), 2019)

Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network. - Mira Park 001; Wenli Yang; Zehong Cao; Byeong Kang 001; Damian Connor; Mary-Anne Lea (PKAW, 2019)

Tensor Decomposition for EEG Signals Retrieval. - Zehong Cao; Yu-Cheng Chang; Mukesh Prasad; Muhammad Tanveer 001; Chin-Teng Lin (SMC, 2019)

A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix. - Cuiping Cheng; Fuyuan Xiao 001; Zehong Cao (IEEE Access, 2019)

A Community Merger of Optimization Algorithm to Extract Overlapping Communities in Networks. - Qi Li 025; Jiang Zhong; Qing Li 022; Chen Wang 074; Zehong Cao (IEEE Access, 2019)

A Decision Method for Online Purchases Considering Dynamic Information Preference Based on Sentiment Orientation Classification and Discrete DIFWA Operators. - Zaoli Yang; Guanming Xiong; Zehong Cao; Yuchen Li 002; Lucheng Huang (IEEE Access, 2019)

Hierarchical Critics Assignment for Multi-agent Reinforcement Learning. - Zehong Cao; Chin-Teng Lin (CoRR, 2019)

An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. - Chin-Teng Lin; Yu-Ting Liu; Chun-Hsiang Chuang; Nikhil R. Pal; Yang-Yin Lin; Tsung-Yu Hsieh; Chieh-Ning Fang; Zehong Cao (CoRR, 2019)

Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis. - Shiming Chen 002; Peng Zhang 040; Xinge You; Qinmu Peng; Xin Liu 011; Zehong Cao (CoRR, 2019)

Descriptor Selection Improvements for Quantitative Structure-Activity Relationships. - Liang-Yong Xia; Qing-Yong Wang; Zehong Cao; Yong Liang (Int. J. Neural Syst., 2019)

Graph representation learning with encoding edges. - Qi Li 025; Zehong Cao; Jiang Zhong; Qing Li 022 (Neurocomputing, 2019)

Local Expansion and Optimization for Higher-Order Graph Clustering. - Wenhong Ma; Lijun Cai; Tingqin He; Lei Chen 045; Zehong Cao; Renfa Li (IEEE Internet Things J., 2019)

Semi-supervised feature learning for improving writer identification. - Shiming Chen 002; Yisong Wang; Chin-Teng Lin; Weiping Ding 001; Zehong Cao (Inf. Sci., 2019)

Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG. - Zehong Cao; Chin-Teng Lin; Weiping Ding 001; Mu-Hong Chen; Cheng-Ta Li; Tung-Ping Su (IEEE Trans. Biomed. Eng., 2019)

Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes. - Weiping Ding 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Cybern., 2019)

Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces. - Weiping Ding 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Neural Networks Learn. Syst., 2019)

Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. - Zehong Cao; Kaichiu Wong; Quan Bai 001; Chin-Teng Lin (AAMAS, 2020)

Uncertainty Modelling in Multi-agent Information Fusion Systems. - Jiali Weng; Fuyuan Xiao 001; Zehong Cao (AAMAS, 2020)

An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients. - Xiaotong Gu; Zehong Cao (ICONIP (5), 2020)

An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. - Xianglin Zheng; Zehong Cao; Quan Bai 001 (ICONIP (5), 2020)

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. - Chin-Teng Lin; Kuan-Chih Huang; Nikhil R. Pal; Zehong Cao; Yu-Ting Liu; Chieh-Ning Fang; Tsung-Yu Hsieh; Yang-Yin Lin; Shang-Lin Wu (iFUZZY, 2020)

IEEE Access Special Section Editorial: Neural Engineering Informatics. - Zehong Cao; Peng Xu 001; Zhiguo Zhang 001; Gang Wang 005; Samu Taulu; Leandro Beltrachini (IEEE Access, 2020)

A General Approach for Using Deep Neural Network for Digital Watermarking. - Yurui Ming; Weiping Ding 001; Zehong Cao; Chin-Teng Lin (CoRR, 2020)

Human Preference Scaling with Demonstrations For Deep Reinforcement Learning. - Zehong Cao; Kaichiu Wong; Chin-Teng Lin (CoRR, 2020)

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network. - Shiming Chen 002; Wenjie Wang; Beihao Xia; Xinge You; Zehong Cao; Weiping Ding 001 (CoRR, 2020)

Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. - Zehong Cao; Weiping Ding 001; Yu-Kai Wang; Farookh Khadeer Hussain; Adel Al-Jumaily; Chin-Teng Lin (Neurocomputing, 2020)

THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network. - Liming Fang 001; Yang Li 103; Xinyu Yun; Zhenyu Wen; Shouling Ji; Weizhi Meng 001; Zehong Cao; Muhammad Tanveer 001 (IEEE Internet Things J., 2020)

A Semantic Collaboration Method Based on Uniform Knowledge Graph. - Qi Li 025; Zehong Cao; Muhammad Tanveer 001; Hari Mohan Pandey; Chen Wang 074 (IEEE Internet Things J., 2020)

An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making. - Yuzhen Han; Yong Deng 001; Zehong Cao; Chin-Teng Lin (Neural Comput. Appl., 2020)

Predicting individual decision-making responses based on single-trial EEG. - Yajing Si; Fali Li; Keyi Duan; Qin Tao; Cunbo Li; Zehong Cao; Yangsong Zhang; Bharat B. Biswal; Peiyang Li; Dezhong Yao 001; Peng Xu 001 (NeuroImage, 2020)

Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. - Qi Li 025; Jiang Zhong; Zehong Cao; Xue Li 001 (Optim. Methods Softw., 2020)

A generalized belief interval-valued soft set with applications in decision making. - Cuiping Cheng; Zehong Cao; Fuyuan Xiao 001 (Soft Comput., 2020)

Foreword: Evolutionary data mining for big data. - Weiping Ding 001; Gary G. Yen; Xinye Cai; Zehong Cao (Swarm Evol. Comput., 2020)

A multi-objective adaptive evolutionary algorithm to extract communities in networks. - Qi Li 025; Zehong Cao; Weiping Ding 001; Qing Li 022 (Swarm Evol. Comput., 2020)

HandiText: Handwriting Recognition Based on Dynamic Characteristics with Incremental LSTM. - Liming Fang 001; Hongwei Zhu; Boqing Lv; Zhe Liu 001; Weizhi Meng 001; Yu Yu; Shouling Ji; Zehong Cao (Trans. Data Sci., 2020)

Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. - Zehong Cao; Chin-Teng Lin; Kuan-Lin Lai; Li-Wei Ko; Jung-Tai King; Kwong-Kum Liao; Jong-Ling Fuh; Shuu-Jiun Wang (IEEE Trans. Fuzzy Syst., 2020)

A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation. - Gang Liu 025; Fuyuan Xiao 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Fuzzy Syst., 2020)

Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM. - Tanveer Hussain; Khan Muhammad 001; Amin Ullah; Zehong Cao; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Informatics, 2020)

Privacy Protection for Medical Data Sharing in Smart Healthcare. - Liming Fang 001; Changchun Yin; Juncen Zhu; Chunpeng Ge 001; Muhammad Tanveer 001; Alireza Jolfaei; Zehong Cao (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. - Qingyong Wang; Yun Zhou 001; Weiping Ding 001; Zhiguo Zhang 001; Khan Muhammad 001; Zehong Cao (ACM Trans. Multim. Comput. Commun. Appl., 2020)

A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. - Xiaohu Li; Zehong Cao; Quan Bai 001 (AAAI, 2021)

An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity. - Zehong Cao; Jie Yun (AAMAS, 2021)

Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. - Zehong Cao; Feng Shi 001; Qiang Xu; Gaoping Liu; Tianyang Sun; Xiaodan Xing; Yichu He; Guangming Lu 001; Zhiqiang Zhang; Dinggang Shen (MLMI@MICCAI, 2021)

Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading. - Xinping Liu; Zehong Cao (CoRR, 2021)

Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science". - Fuyuan Xiao 001; Masayoshi Aritsugi; Jemal H. Abawajy; Zehong Cao; Rami Al-Hmouz; Peide Liu (Int. J. Fuzzy Syst., 2021)

Attribute reduction with fuzzy rough self-information measures. - Changzhong Wang; Yang Huang 009; Weiping Ding 001; Zehong Cao (Inf. Sci., 2021)

A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion. - Chaosheng Zhu; Bowen Qin; Fuyuan Xiao 001; Zehong Cao; Hari Mohan Pandey (Inf. Sci., 2021)

Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm. - Zaoli Yang; Harish Garg; Jinqiu Li; Gautam Srivastava 001; Zehong Cao (Neural Comput. Appl., 2021)

Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. - Gaoping Liu; Zehong Cao; Qiang Xu; Qirui Zhang 004; Fang Yang; Xinyu Xie; Jingru Hao; Yinghuan Shi; Boris C. Bernhardt; Yichu He; Feng Shi 001; Guangming Lu 001; et al. (NeuroImage, 2021)

Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states. - Kexu Zhang; Wen Shi; Chang Wang; Yamin Li; Zhian Liu; Tun Liu; Jing Li; Xiangguo Yan; Qiang Wang; Zehong Cao; Gang Wang 005 (NeuroImage, 2021)

Reconfiguration of Brain Network Between Resting State and P300 Task. - Fali Li; Chanlin Yi; Yuanyuan Liao; Yuanling Jiang; Yajing Si; Limeng Song; Tao Zhang 017; Dezhong Yao 001; Yangsong Zhang; Zehong Cao; Peng Xu 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications. - Xiaotong Gu; Zehong Cao; Alireza Jolfaei; Peng Xu 001; Dongrui Wu; Tzyy-Ping Jung; Chin-Teng Lin (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network. - Shiming Chen 002; Wenjie Wang; Beihao Xia; Xinge You; Qinmu Peng; Zehong Cao; Weiping Ding 001 (IEEE Trans. Evol. Comput., 2021)

Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. - Weiping Ding 001; Nikhil R. Pal; Chin-Teng Lin; Yiu-ming Cheung; Zehong Cao; Wenjian Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Guest Editorial: Fuzzy Systems Toward Human-Explainable Artificial Intelligence and Their Applications. - Zehong Cao; Chin-Teng Lin; Yong Deng 001; Gerhard-Wilhelm Weber (IEEE Trans. Fuzzy Syst., 2021)

Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. - Yu-Cheng Chang; Ye Shi 001; Anna Dostovalova; Zehong Cao; Jijoong Kim; Daniel Gibbons; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2021)

Multigranulation Supertrust Model for Attribute Reduction. - Weiping Ding 001; Witold Pedrycz; Isaac Triguero; Zehong Cao; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2021)

A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis. - Fuyuan Xiao 001; Zehong Cao; Alireza Jolfaei (IEEE Trans. Fuzzy Syst., 2021)

A Practical Model Based on Anomaly Detection for Protecting Medical IoT Control Services Against External Attacks. - Liming Fang 001; Yang Li 103; Zhe Liu 001; Changchun Yin; Minghui Li; Zehong Cao (IEEE Trans. Ind. Informatics, 2021)

Effective Brain State Estimation During Propofol-Induced Sedation Using Advanced EEG Microstate Spectral Analysis. - Yamin Li; Wen Shi; Zhian Liu; Jing Li; Qiang Wang; Xiangguo Yan; Zehong Cao; Gang Wang 005 (IEEE J. Biomed. Health Informatics, 2021)

Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning. - Zemian Ke; Zhibin Li 003; Zehong Cao; Pan Liu (IEEE Trans. Intell. Transp. Syst., 2021)

A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. - Joyce Chelangat Bore; Peiyang Li; Lin Jiang 004; Walid Mohammed Ahmed Ayedh; Chunli Chen; Dennis Joe Harmah; Dezhong Yao 001; Zehong Cao; Peng Xu 001 (IEEE Trans. Medical Imaging, 2021)

Weak Human Preference Supervision for Deep Reinforcement Learning. - Zehong Cao; Kaichiu Wong; Chin-Teng Lin (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations. - Meng Li 033; Zehong Cao; Zhibin Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework. - Zijie Yue; Shuai Ding 001; Lei Zhao; Youtao Zhang; Zehong Cao; Mohammad Tanveer 001; Alireza Jolfaei; Xi Zheng 001 (ACM Trans. Internet Techn., 2021)

A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis. - Zeyi Liu 001; Fuyuan Xiao 001; Chin-Teng Lin; Byeong Ho Kang 001; Zehong Cao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving. - Zehong Cao; Jie Yun (CoRR, 2022)

Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. - Ye Shi 001; Leijie Zhang; Zehong Cao; Muhammad Tanveer 001; Chin-Teng Lin (CoRR, 2022)

M2SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. - Qingyong Wang; Yun Zhou 001; Zehong Cao; Weiming Zhang 003 (Expert Syst. Appl., 2022)

A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis. - Chaosheng Zhu; Fuyuan Xiao 001; Zehong Cao (Inf. Sci., 2022)

Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams. - Shunchao Wang; Zhibin Li 003; Zehong Cao; Alireza Jolfaei; Qi Cao (IEEE Intell. Transp. Syst. Mag., 2022)

Uncertainty measurements for Pythagorean fuzzy set and their applications in multiple-criteria decision making. - Zhe Wang 040; Fuyuan Xiao 001; Zehong Cao (Soft Comput., 2022)

A Generalized Deep Neural Network Approach for Digital Watermarking Analysis. - Weiping Ding 001; Yurui Ming; Zehong Cao; Chin-Teng Lin (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. - Ye Shi 001; Leijie Zhang; Zehong Cao; Muhammad Tanveer 001; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2022)

Enhance Reading Comprehension from EEG-Based Brain-Computer Interface. - Xinping Liu; Zehong Cao (AI (1), 2023)

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. - Xibao Li; Xi Ouyang; Jiadong Zhang; Dongdong Gu; Zehong Cao; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Yuyao Zhang; Feng Shi 001; Dinggang Shen (ISBI, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 2023)

Belief f-divergence for EEG complexity evaluation. - Junjie Huang; Xingjian Song; Fuyuan Xiao 001; Zehong Cao; Chin-Teng Lin (Inf. Sci., 2023)

Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory. - Lang Zhang; Fuyuan Xiao 001; Zehong Cao (Inf. Sci., 2023)

The Diagnosis of Major Depressive Disorder Through Wearable fNIRS by Using Wavelet Transform and Parallel-CNN Feature Fusion. - Guangming Wang; Ning Wu; Yi Tao; Won Hee Lee; Zehong Cao; Xiangguo Yan; Gang Wang 005 (IEEE Trans. Instrum. Meas., 2023)

Kernelized Similarity Learning and Embedding for Dynamic Texture Synthesis. - Shiming Chen 002; Peng Zhang 040; Guo-Sen Xie; Qinmu Peng; Zehong Cao; Wei Yuan 001; Xinge You (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. - Xiang Li; Qing Liu 001; Shiqing Wu 001; Zehong Cao; Quan Bai 001 (J. Ind. Inf. Integr., 2023)

Reinforcement Learning From Hierarchical Critics. - Zehong Cao; Chin-Teng Lin (IEEE Trans. Neural Networks Learn. Syst., 2023)

Information transmission velocity-based dynamic hierarchical brain networks. - Lin Jiang 004; Fali Li; Zhaojin Chen; Bin Zhu; Chanlin Yi; Yuqin Li; Tao Zhang 017; Yueheng Peng; Yajing Si; Zehong Cao; Antao Chen; Dezhong Yao 001; et al. (NeuroImage, 2023)

EEG datasets with different levels of fatigue for personal identification. - Jianliang Min; Zehong Cao (IEEE DataPort, 2023)

A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification. - Fuyuan Xiao 001; Zehong Cao; Chin-Teng Lin (IEEE Trans. Knowl. Data Eng., 2023)

Higher Order Fractal Belief Rényi Divergence With Its Applications in Pattern Classification. - Yingcheng Huang; Fuyuan Xiao 001; Zehong Cao; Chin-Teng Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance. - Bin Chen; Zehong Cao (AAMAS, 2024)

Identifying Hand-based Input Preference Based on Wearable EEG. - Kaining Zhang; Zehong Cao; Xianglin Zheng; Mark Billinghurst (AHs, 2024)

Autonomous Driving Agents for Safe Road Junctions Through Deep Reinforcement Learning. - Jie Yun; Zehong Cao (ICA, 2024)

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. - Lin Teng; Zihao Zhao 002; Jiawei Huang; Zehong Cao; Runqi Meng; Feng Shi 001; Dinggang Shen (MICCAI (2), 2024)

Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. - Runqi Wang; Zehong Cao; Yichu He; Jiameng Liu; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (1), 2024)

Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication. - Philippe Krajsic; Viola Suess; Zehong Cao; Ryszard Kowalczyk; Bogdan Franczyk (CoRR, 2024)

A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification. - Yingtao Ren; Yu-Cheng Chang; Thomas Do; Zehong Cao; Chin-Teng Lin (CoRR, 2024)

Few-shot class incremental learning via robust transformer approach. - Naeem Paeedeh; Mahardhika Pratama; Sunu Wibirama; Wolfgang Mayer; Zehong Cao; Ryszard Kowalczyk (Inf. Sci., 2024)

Cross-domain few-shot learning via adaptive transformer networks. - Naeem Paeedeh; Mahardhika Pratama; Muhammad Anwar Ma'sum; Wolfgang Mayer; Zehong Cao; Ryszard Kowalczyk (Knowl. Based Syst., 2024)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

A Robust Evidential Multisource Data Fusion Approach Based on Cooperative Game Theory and Its Application in EEG. - Zeyi Liu 001; Fuyuan Xiao 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification. - Shengjia Zhang; Mingrui Yin; Fuyuan Xiao 001; Zehong Cao; Danilo Pelusi (IEEE Trans. Fuzzy Syst., 2024)

Enhancing Car-Following Performance in Traffic Oscillations Using Expert Demonstration Reinforcement Learning. - Meng Li 033; Zhibin Li 003; Zehong Cao (IEEE Trans. Intell. Transp. Syst., 2024)

Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. - Cunbo Li; Peiyang Li; Yangsong Zhang; Ning Li 030; Yajing Si; Fali Li; Zehong Cao; Huafu Chen; Badong Chen; Dezhong Yao 001; Peng Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Augmented Mixed Vehicular Platoon Control With Dense Communication Reinforcement Learning for Traffic Oscillation Alleviation. - Meng Li 033; Zehong Cao; Zhibin Li 003 (IEEE Internet Things J., 2024)

Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification. - Peiyang Li; Xiaohui Gao; Cunbo Li; Chanlin Yi; Weijie Huang; Yajing Si; Fali Li; Zehong Cao; Yin Tian; Peng Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fractal Belief Rényi Divergence With its Applications in Pattern Classification. - Yingcheng Huang; Fuyuan Xiao 001; Zehong Cao; Chin-Teng Lin (IEEE Trans. Knowl. Data Eng., 2024)

Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition. - Cunbo Li; Peiyang Li; Zhaojin Chen; Lei Yang; Fali Li; Feng Wan; Zehong Cao; Dezhong Yao 001; Bao-Liang Lu; Peng Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning. - Yugu Li; Zehong Cao; Jianglin Qiao; Siyi Hu (AAMAS, 2025)

Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. - Haolin Wang 003; Lin Liu 003; Jiuyong Li; Ziqi Xu 001; Jixue Liu; Zehong Cao; Debo Cheng (WWW, 2025)

Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans. - Xuechun Wang; Yuting Meng; Zhijian Dong; Zehong Cao; Yichu He; Tianyang Sun; Qing Zhou; Guozhong Niu; Zhongxiang Ding; Feng Shi 001; Dinggang Shen (Comput. Methods Programs Biomed., 2025)

New trends of adversarial machine learning for data fusion and intelligent system. - Weiping Ding 001; Zheng Zhang; Luis Martínez 001; Yu Huang 004; Zehong Cao; Jun Liu 001; Abhirup Banerjee (Inf. Fusion, 2025)

HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning. - Bin Chen; Zehong Cao; Wolfgang Mayer; Markus Stumptner; Ryszard Kowalczyk (Neural Networks, 2025)

Task Allocation in Customer-led Two-sided Markets with Satellite Constellation Services. - Jianglin Qiao; Zehong Cao; Dave de Jonge; Ryszard Kowalczyk (CoRR, 2025)

Pretraining Large Brain Language Model for Active BCI: Silent Speech. - Jinzhao Zhou; Zehong Cao; Yiqun Duan; Connor Barkley; Daniel Leong; Xiaowei Jiang; Quoc-Toan Nguyen; Ziyi Zhao; Thomas Do; Yu-Cheng Chang; Sheng-Fu Liang; Chin-Teng Lin (CoRR, 2025)

SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning. - Bin Chen; Zehong Cao; Quan Bai 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network. - Cunbo Li; Tian Tang; Yue Pan; Lei Yang; Shuhan Zhang; Zhaojin Chen; Peiyang Li; Dongrui Gao; Huafu Chen; Fali Li; Dezhong Yao 001; Zehong Cao; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI. - Lin Teng; Yichu He; Zehong Cao; Rui Hua; Ye Han; Qianjin Feng; Feng Shi 001; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

Multi-agent reinforcement learning for resources allocation optimization: a survey. - Mohamad A. Hady; Siyi Hu; Mahardhika Pratama; Zehong Cao; Ryszard Kowalczyk (Artif. Intell. Rev., 2025)