Zehong Cao

144 papers A* 5A 5B 3C 1Journal 117Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A CDGFN-Based Quantum Multisource Information Fusion With Its Application in Time Series Classification.
IEEE Trans. Knowl. Data Eng.
Junhao Yu, Fuyuan Xiao, Yi Zhang, Zehong Cao, Chin-Teng Lin
2026 J jnl
Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model.
CoRR
Naeem Paeedeh, Mahardhika Pratama, Ary Mazharuddin Shiddiqi, Zehong Cao, Mukesh Prasad, Wisnu Jatmiko
2025 J jnl
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network.
IEEE Trans. Neural Networks Learn. Syst.
Cunbo Li, Tian Tang, Yue Pan, Lei Yang, Shuhan Zhang, Zhaojin Chen, Peiyang Li, Dongrui Gao, Huafu Chen, Fali Li, Dezhong Yao, Zehong Cao, Peng Xu
2025 — conf
CoMoSeg: Anatomical Consistency and Cross Modality Guidance for Robust Brain Tumor Segmentation Using Partially Labeled MR Sequences.
CMMCA@MICCAI
Zehao Weng, Dongdong Gu, Yuzhong Chen, Siqing Yuan, Chen Xie, Zhenguo Zhang, Jinwei Kong, Zehong Cao, Zhong Xue, Dinggang Shen
2025 J jnl
EEG-Based Emotion Monitoring and Regulation System by Learning the Discriminative Brain Network Manifold.
IEEE Trans. Neural Networks Learn. Syst.
Cunbo Li, Zehong Cao, Yue Pan, Pengcheng Zhu, Peiyang Li, Fali Li, Huafu Chen, Bao-Liang Lu, Feng Wan, Dezhong Yao, Peng Xu
2025 J jnl
Emotion Recognition by Learning the Manifold of Fused Multiscale Information of EEG Signals.
IEEE Trans. Affect. Comput.
Cunbo Li, Shuhan Zhang, Yufeng Mu, Lei Yang, Yueheng Peng, Fali Li, Yangsong Zhang, Zhen Liang, Zehong Cao, Feng Wan, Dezhong Yao, Peiyang Li, Peng Xu
2025 J jnl
HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning.
Neural Networks
Bin Chen, Zehong Cao, Wolfgang Mayer, Markus Stumptner, Ryszard Kowalczyk
2025 A* conf
MindSpeak: A Real-Time BCI System for Silent Speech.
ACM Multimedia
Jinzhao Zhou, Daniel Leong, Zehong Cao, Thomas Do, Sheng-Fu Liang, Tzyy-Ping Jung, Chin-Teng Lin
2025 J jnl
Multi-Agent Reinforcement Learning for Heterogeneous Satellite Cluster Resources Optimization.
CoRR
Mohamad A. Hady, Siyi Hu, Mahardhika Pratama, Zehong Cao, Ryszard Kowalczyk
2025 J jnl
Multi-agent reinforcement learning for resources allocation optimization: a survey.
Artif. Intell. Rev.
Mohamad A. Hady, Siyi Hu, Mahardhika Pratama, Zehong Cao, Ryszard Kowalczyk
2025 J jnl
New trends of adversarial machine learning for data fusion and intelligent system.
Inf. Fusion
Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong Cao, Jun Liu, Abhirup Banerjee
2025 A conf
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning.
AAMAS
Yugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu
2025 J jnl
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning.
CoRR
Yugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu
2025 A* conf
Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders.
WWW
Haolin Wang, Lin Liu, Jiuyong Li, Ziqi Xu, Jixue Liu, Zehong Cao, Debo Cheng
2025 A* conf
Pretraining Large Brain Language Model for Active BCI: Silent Speech.
ACM Multimedia
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
2025 J jnl
Pretraining Large Brain Language Model for Active BCI: Silent Speech.
CoRR
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
2025 J jnl
RTFN-MSIF: A Reinforced TFN-based Multisource Information Fusion for Pattern Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Xiaoyu Xiong, Fuyuan Xiao, Zehong Cao, Weiping Ding
2025 A* conf
Real-Time EEG Emotion Recognition from Dynamic Mixed Spatiotemporal Graph Learning.
ACM Multimedia
Yue Pan, Cunbo Li, Peiyang Li, Fali Li, Feng Wan, Dezhong Yao, Zehong Cao, Peng Xu
2025 J jnl
SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Bin Chen, Zehong Cao, Quan Bai
2025 J jnl
Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans.
Comput. Methods Programs Biomed.
Xuechun Wang, Yuting Meng, Zhijian Dong, Zehong Cao, Yichu He, Tianyang Sun, Qing Zhou, Guozhong Niu, Zhongxiang Ding, Feng Shi, Dinggang Shen
2025 J jnl
Task Allocation in Customer-led Two-sided Markets with Satellite Constellation Services.
CoRR
Jianglin Qiao, Zehong Cao, Dave de Jonge, Ryszard Kowalczyk
2025 J jnl
The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network.
IEEE Trans. Affect. Comput.
Guangming Wang, Yi Tao, Ning Wu, Rihui Li, Won Hee Lee, Zehong Cao, Xiangguo Yan, Badong Chen, Gang Wang
2025 J jnl
Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI.
IEEE J. Biomed. Health Informatics
Lin Teng, Yichu He, Zehong Cao, Rui Hua, Ye Han, Qianjin Feng, Feng Shi, Dinggang Shen
2024 J jnl
A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification.
IEEE Trans. Fuzzy Syst.
Shengjia Zhang, Mingrui Yin, Fuyuan Xiao, Zehong Cao, Danilo Pelusi
2024 J jnl
A Robust Evidential Multisource Data Fusion Approach Based on Cooperative Game Theory and Its Application in EEG.
IEEE Trans. Syst. Man Cybern. Syst.
Zeyi Liu, Fuyuan Xiao, Chin-Teng Lin, Zehong Cao
2024 J jnl
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification.
CoRR
Yingtao Ren, Yu-Cheng Chang, Thomas Do, Zehong Cao, Chin-Teng Lin
2024 J jnl
Augmented Mixed Vehicular Platoon Control With Dense Communication Reinforcement Learning for Traffic Oscillation Alleviation.
IEEE Internet Things J.
Meng Li, Zehong Cao, Zhibin Li
2024 — conf
Autonomous Driving Agents for Safe Road Junctions Through Deep Reinforcement Learning.
ICA
Jie Yun, Zehong Cao
2024 J jnl
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition.
IEEE Trans. Syst. Man Cybern. Syst.
Cunbo Li, Peiyang Li, Zhaojin Chen, Lei Yang, Fali Li, Feng Wan, Zehong Cao, Dezhong Yao, Bao-Liang Lu, Peng Xu
2024 — conf
Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model.
MLMI@MICCAI (1)
Runqi Wang, Zehong Cao, Yichu He, Jiameng Liu, Feng Shi, Dinggang Shen
2024 J jnl
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks.
CoRR
Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk
2024 J jnl
Cross-domain few-shot learning via adaptive transformer networks.
Knowl. Based Syst.
Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk
2024 J jnl
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE Trans. Neural Networks Learn. Syst.
Cunbo Li, Peiyang Li, Yangsong Zhang, Ning Li, Yajing Si, Fali Li, Zehong Cao, Huafu Chen, Badong Chen, Dezhong Yao, Peng Xu
2024 J jnl
Enhancing Car-Following Performance in Traffic Oscillations Using Expert Demonstration Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Meng Li, Zhibin Li, Zehong Cao
2024 J jnl
Few-Shot Class Incremental Learning via Robust Transformer Approach.
CoRR
Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk
2024 J jnl
Few-shot class incremental learning via robust transformer approach.
Inf. Sci.
Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk
2024 J jnl
Fractal Belief Rényi Divergence With its Applications in Pattern Classification.
IEEE Trans. Knowl. Data Eng.
Yingcheng Huang, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin
2024 J jnl
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification.
IEEE Trans. Neural Networks Learn. Syst.
Peiyang Li, Xiaohui Gao, Cunbo Li, Chanlin Yi, Weijie Huang, Yajing Si, Fali Li, Zehong Cao, Yin Tian, Peng Xu
2024 A conf
HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance.
AAMAS
Bin Chen, Zehong Cao
2024 J jnl
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Medical Image Anal.
Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang
2024 — conf
Identifying Hand-based Input Preference Based on Wearable EEG.
AHs
Kaining Zhang, Zehong Cao, Xianglin Zheng, Mark Billinghurst
2024 — conf
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation.
MICCAI (2)
Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen
2024 J jnl
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation.
CoRR
Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen
2024 J jnl
Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication.
CoRR
Philippe Krajsic, Viola Suess, Zehong Cao, Ryszard Kowalczyk, Bogdan Franczyk
2023 J jnl
A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification.
IEEE Trans. Knowl. Data Eng.
Fuyuan Xiao, Zehong Cao, Chin-Teng Lin
2023 J jnl
Belief
Inf. Sci.
Junjie Huang, Xingjian Song, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin
2023 — conf
Enhance Reading Comprehension from EEG-Based Brain-Computer Interface.
AI (1)
Xinping Liu, Zehong Cao
2023 J jnl
Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems.
J. Ind. Inf. Integr.
Xiang Li, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai
2023 J jnl
Higher Order Fractal Belief Rényi Divergence With Its Applications in Pattern Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Yingcheng Huang, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin
2023 J jnl
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
CoRR
Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang
2023 J jnl
Information transmission velocity-based dynamic hierarchical brain networks.
NeuroImage
Lin Jiang, Fali Li, Zhaojin Chen, Bin Zhu, Chanlin Yi, Yuqin Li, Tao Zhang, Yueheng Peng, Yajing Si, Zehong Cao, Antao Chen, Dezhong Yao, Xun Chen, Peng Xu
2023 J jnl
Kernelized Similarity Learning and Embedding for Dynamic Texture Synthesis.
IEEE Trans. Syst. Man Cybern. Syst.
Shiming Chen, Peng Zhang, Guo-Sen Xie, Qinmu Peng, Zehong Cao, Wei Yuan, Xinge You
2023 — conf
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
ISBI
Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen
2023 J jnl
Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory.
Inf. Sci.
Lang Zhang, Fuyuan Xiao, Zehong Cao
2023 J jnl
Reinforcement Learning From Hierarchical Critics.
IEEE Trans. Neural Networks Learn. Syst.
Zehong Cao, Chin-Teng Lin
2023 J jnl
The Diagnosis of Major Depressive Disorder Through Wearable fNIRS by Using Wavelet Transform and Parallel-CNN Feature Fusion.
IEEE Trans. Instrum. Meas.
Guangming Wang, Ning Wu, Yi Tao, Won Hee Lee, Zehong Cao, Xiangguo Yan, Gang Wang
2022 J jnl
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis.
IEEE Trans. Emerg. Top. Comput. Intell.
Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin
2022 J jnl
A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis.
Inf. Sci.
Chaosheng Zhu, Fuyuan Xiao, Zehong Cao
2022 J jnl
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization.
CoRR
Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin
2022 J jnl
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization.
IEEE Trans. Fuzzy Syst.
Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin
2022 J jnl
Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams.
IEEE Intell. Transp. Syst. Mag.
Shunchao Wang, Zhibin Li, Zehong Cao, Alireza Jolfaei, Qi Cao
2022 J jnl
M
Expert Syst. Appl.
Qingyong Wang, Yun Zhou, Zehong Cao, Weiming Zhang
2022 J jnl
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving.
CoRR
Zehong Cao, Jie Yun
2022 J jnl
Uncertainty measurements for Pythagorean fuzzy set and their applications in multiple-criteria decision making.
Soft Comput.
Zhe Wang, Fuyuan Xiao, Zehong Cao
2021 J jnl
A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis.
IEEE Trans. Syst. Man Cybern. Syst.
Zeyi Liu, Fuyuan Xiao, Chin-Teng Lin, Byeong Ho Kang, Zehong Cao
2021 J jnl
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging.
IEEE Trans. Medical Imaging
Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid Mohammed Ahmed Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu
2021 J jnl
A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis.
IEEE Trans. Fuzzy Syst.
Fuyuan Xiao, Zehong Cao, Alireza Jolfaei
2021 A* conf
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles.
AAAI
Xiaohu Li, Zehong Cao, Quan Bai
2021 J jnl
A Practical Model Based on Anomaly Detection for Protecting Medical IoT Control Services Against External Attacks.
IEEE Trans. Ind. Informatics
Liming Fang, Yang Li, Zhe Liu, Changchun Yin, Minghui Li, Zehong Cao
2021 J jnl
A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations.
IEEE Trans. Neural Networks Learn. Syst.
Meng Li, Zehong Cao, Zhibin Li
2021 J jnl
A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion.
Inf. Sci.
Chaosheng Zhu, Bowen Qin, Fuyuan Xiao, Zehong Cao, Hari Mohan Pandey
2021 A conf
An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity.
AAMAS
Zehong Cao, Jie Yun
2021 J jnl
Attribute reduction with fuzzy rough self-information measures.
Inf. Sci.
Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao
2021 J jnl
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network.
IEEE Trans. Evol. Comput.
Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding
2021 — conf
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network.
MLMI@MICCAI
Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen
2021 J jnl
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin
2021 J jnl
Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science".
Int. J. Fuzzy Syst.
Fuyuan Xiao, Masayoshi Aritsugi, Jemal H. Abawajy, Zehong Cao, Rami Al-Hmouz, Peide Liu
2021 J jnl
Effective Brain State Estimation During Propofol-Induced Sedation Using Advanced EEG Microstate Spectral Analysis.
IEEE J. Biomed. Health Informatics
Yamin Li, Wen Shi, Zhian Liu, Jing Li, Qiang Wang, Xiangguo Yan, Zehong Cao, Gang Wang
2021 J jnl
Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning.
IEEE Trans. Intell. Transp. Syst.
Zemian Ke, Zhibin Li, Zehong Cao, Pan Liu
2021 J jnl
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments.
IEEE Trans. Emerg. Top. Comput. Intell.
Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo
2021 J jnl
Guest Editorial: Fuzzy Systems Toward Human-Explainable Artificial Intelligence and Their Applications.
IEEE Trans. Fuzzy Syst.
Zehong Cao, Chin-Teng Lin, Yong Deng, Gerhard-Wilhelm Weber
2021 J jnl
Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment.
IEEE Trans. Fuzzy Syst.
Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Zehong Cao, Jijoong Kim, Daniel Gibbons, Chin-Teng Lin
2021 J jnl
Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm.
Neural Comput. Appl.
Zaoli Yang, Harish Garg, Jinqiu Li, Gautam Srivastava, Zehong Cao
2021 J jnl
Multigranulation Supertrust Model for Attribute Reduction.
IEEE Trans. Fuzzy Syst.
Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin
2021 J jnl
Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework.
ACM Trans. Internet Techn.
Zijie Yue, Shuai Ding, Lei Zhao, Youtao Zhang, Zehong Cao, Mohammad Tanveer, Alireza Jolfaei, Xi Zheng
2021 J jnl
Reconfiguration of Brain Network Between Resting State and P300 Task.
IEEE Trans. Cogn. Dev. Syst.
Fali Li, Chanlin Yi, Yuanyuan Liao, Yuanling Jiang, Yajing Si, Limeng Song, Tao Zhang, Dezhong Yao, Yangsong Zhang, Zehong Cao, Peng Xu
2021 J jnl
Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution.
NeuroImage
Gaoping Liu, Zehong Cao, Qiang Xu, Qirui Zhang, Fang Yang, Xinyu Xie, Jingru Hao, Yinghuan Shi, Boris C. Bernhardt, Yichu He, Feng Shi, Guangming Lu, Zhiqiang Zhang
2021 J jnl
Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states.
NeuroImage
Kexu Zhang, Wen Shi, Chang Wang, Yamin Li, Zhian Liu, Tun Liu, Jing Li, Xiangguo Yan, Qiang Wang, Zehong Cao, Gang Wang
2021 J jnl
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading.
CoRR
Xinping Liu, Zehong Cao
2021 J jnl
Weak Human Preference Supervision for Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zehong Cao, Kaichiu Wong, Chin-Teng Lin
2020 J jnl
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.
IEEE Trans. Fuzzy Syst.
Gang Liu, Fuyuan Xiao, Chin-Teng Lin, Zehong Cao
2020 J jnl
A General Approach for Using Deep Neural Network for Digital Watermarking.
CoRR
Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin
2020 J jnl
A Semantic Collaboration Method Based on Uniform Knowledge Graph.
IEEE Internet Things J.
Qi Li, Zehong Cao, Muhammad Tanveer, Hari Mohan Pandey, Chen Wang
2020 J jnl
A generalized belief interval-valued soft set with applications in decision making.
Soft Comput.
Cuiping Cheng, Zehong Cao, Fuyuan Xiao
2020 J jnl
A multi-objective adaptive evolutionary algorithm to extract communities in networks.
Swarm Evol. Comput.
Qi Li, Zehong Cao, Weiping Ding, Qing Li
2020 — conf
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface.
iFUZZY
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
2020 — conf
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients.
ICONIP (5)
Xiaotong Gu, Zehong Cao
2020 J jnl
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification.
CoRR
Xianglin Zheng, Zehong Cao, Quan Bai
2020 — conf
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification.
ICONIP (5)
Xianglin Zheng, Zehong Cao, Quan Bai
2020 J jnl
An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making.
Neural Comput. Appl.
Yuzhen Han, Yong Deng, Zehong Cao, Chin-Teng Lin
2020 J jnl
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network.
CoRR
Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding
2020 J jnl
Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM.
IEEE Trans. Ind. Informatics
Tanveer Hussain, Khan Muhammad, Amin Ullah, Zehong Cao, Sung Wook Baik, Victor Hugo C. de Albuquerque
2020 J jnl
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications.
CoRR
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin
2020 J jnl
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy.
Neurocomputing
Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, Chin-Teng Lin
2020 J jnl
Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients.
IEEE Trans. Fuzzy Syst.
Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai, Li-Wei Ko, Jung-Tai King, Kwong-Kum Liao, Jong-Ling Fuh, Shuu-Jiun Wang
2020 J jnl
Foreword: Evolutionary data mining for big data.
Swarm Evol. Comput.
Weiping Ding, Gary G. Yen, Xinye Cai, Zehong Cao
2020 J jnl
HandiText: Handwriting Recognition Based on Dynamic Characteristics with Incremental LSTM.
Trans. Data Sci.
Liming Fang, Hongwei Zhu, Boqing Lv, Zhe Liu, Weizhi Meng, Yu Yu, Shouling Ji, Zehong Cao
2020 A conf
Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning.
AAMAS
Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin
2020 J jnl
Human Preference Scaling with Demonstrations For Deep Reinforcement Learning.
CoRR
Zehong Cao, Kaichiu Wong, Chin-Teng Lin
2020 J jnl
IEEE Access Special Section Editorial: Neural Engineering Informatics.
IEEE Access
Zehong Cao, Peng Xu, Zhiguo Zhang, Gang Wang, Samu Taulu, Leandro Beltrachini
2020 J jnl
Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy.
Optim. Methods Softw.
Qi Li, Jiang Zhong, Zehong Cao, Xue Li
2020 J jnl
Predicting individual decision-making responses based on single-trial EEG.
NeuroImage
Yajing Si, Fali Li, Keyi Duan, Qin Tao, Cunbo Li, Zehong Cao, Yangsong Zhang, Bharat B. Biswal, Peiyang Li, Dezhong Yao, Peng Xu
2020 J jnl
Privacy Protection for Medical Data Sharing in Smart Healthcare.
ACM Trans. Multim. Comput. Commun. Appl.
Liming Fang, Changchun Yin, Juncen Zhu, Chunpeng Ge, Muhammad Tanveer, Alireza Jolfaei, Zehong Cao
2020 J jnl
Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis.
ACM Trans. Multim. Comput. Commun. Appl.
Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao
2020 J jnl
THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network.
IEEE Internet Things J.
Liming Fang, Yang Li, Xinyu Yun, Zhenyu Wen, Shouling Ji, Weizhi Meng, Zehong Cao, Muhammad Tanveer
2020 A conf
Uncertainty Modelling in Multi-agent Information Fusion Systems.
AAMAS
Jiali Weng, Fuyuan Xiao, Zehong Cao
2019 J jnl
A Community Merger of Optimization Algorithm to Extract Overlapping Communities in Networks.
IEEE Access
Qi Li, Jiang Zhong, Qing Li, Chen Wang, Zehong Cao
2019 J jnl
A Decision Method for Online Purchases Considering Dynamic Information Preference Based on Sentiment Orientation Classification and Discrete DIFWA Operators.
IEEE Access
Zaoli Yang, Guanming Xiong, Zehong Cao, Yuchen Li, Lucheng Huang
2019 J jnl
A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix.
IEEE Access
Cuiping Cheng, Fuyuan Xiao, Zehong Cao
2019 J jnl
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG.
CoRR
Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao
2019 J jnl
Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes.
IEEE Trans. Cybern.
Weiping Ding, Chin-Teng Lin, Zehong Cao
2019 J jnl
Descriptor Selection Improvements for Quantitative Structure-Activity Relationships.
Int. J. Neural Syst.
Liang-Yong Xia, Qing-Yong Wang, Zehong Cao, Yong Liang
2019 — conf
Enhancing Network Embedding with Implicit Clustering.
DASFAA (1)
Qi Li, Jiang Zhong, Qing Li, Zehong Cao, Chen Wang
2019 J jnl
Graph representation learning with encoding edges.
Neurocomputing
Qi Li, Zehong Cao, Jiang Zhong, Qing Li
2019 J jnl
Hierarchical Critics Assignment for Multi-agent Reinforcement Learning.
CoRR
Zehong Cao, Chin-Teng Lin
2019 J jnl
Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG.
IEEE Trans. Biomed. Eng.
Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, Tung-Ping Su
2019 J jnl
Local Expansion and Optimization for Higher-Order Graph Clustering.
IEEE Internet Things J.
Wenhong Ma, Lijun Cai, Tingqin He, Lei Chen, Zehong Cao, Renfa Li
2019 C conf
Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network.
PKAW
Mira Park, Wenli Yang, Zehong Cao, Byeong Kang, Damian Connor, Mary-Anne Lea
2019 J jnl
Semi-supervised feature learning for improving writer identification.
Inf. Sci.
Shiming Chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, Zehong Cao
2019 J jnl
Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.
IEEE Trans. Neural Networks Learn. Syst.
Weiping Ding, Chin-Teng Lin, Zehong Cao
2019 J jnl
Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis.
CoRR
Shiming Chen, Peng Zhang, Xinge You, Qinmu Peng, Xin Liu, Zehong Cao
2019 B conf
Tensor Decomposition for EEG Signals Retrieval.
SMC
Zehong Cao, Yu-Cheng Chang, Mukesh Prasad, Muhammad Tanveer, Chin-Teng Lin
2018 J jnl
A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue.
IEEE Trans. Fuzzy Syst.
Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, Jiandong Wang
2018 J jnl
A Modified Distance Dynamics Model for Improvement of Community Detection.
IEEE Access
Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng, Weiping Ding, Zehong Cao
2018 J jnl
A Multimodel Fusion Engine for Filtering Webpages.
IEEE Access
Ziyun Deng, Tingqin He, Weiping Ding, Zehong Cao
2018 J jnl
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time.
CoRR
Chun-Hsiang Chuang, Zehong Cao, Yu-Kai Wang, Po-Tsang Chen, Chih-Sheng Huang, Nikhil R. Pal, Chin-Teng Lin
2018 J jnl
Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients.
CoRR
Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai, Li-Wei Ko, Jung-Tai King, Jong-Ling Fuh, Shuu-Jiun Wang
2018 J jnl
Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation.
IEEE Trans. Fuzzy Syst.
Zehong Cao, Chin-Teng Lin
2018 J jnl
Parallel Community Detection Based on Distance Dynamics for Large-Scale Network.
IEEE Access
Tingqin He, Lijun Cai, Tao Meng, Lei Chen, Ziyun Deng, Zehong Cao
2018 J jnl
Semi-Supervised Feature Learning for Off-Line Writer Identifications.
CoRR
Shiming Chen, Yisong Wang, Chin-Teng Lin, Zehong Cao
2017 — —
Developing a migraine attack prediction system using resting-state EEG
Zehong Cao
2017 B conf
Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy.
FUZZ-IEEE
Zehong Cao, Mukesh Prasad, Chin-Teng Lin
2017 J jnl
Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment.
IEEE Access
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
2015 B conf
Classification of migraine stages based on resting-state EEG power.
IJCNN
Zehong Cao, Li-Wei Ko, Kuan-Lin Lai, Song-Bo Huang, Shuu-Jiun Wang, Chin-Teng Lin