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2020 – today
- 2025
[j82]Xuechun Wang, Yuting Meng, Zhijian Dong, Zehong Cao, Yichu He, Tianyang Sun, Qing Zhou, Guozhong Niu, Zhongxiang Ding, Feng Shi, Dinggang Shen:
Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans. Comput. Methods Programs Biomed. 258: 108488 (2025)- [j81]Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong Cao, Jun Liu, Abhirup Banerjee:
New trends of adversarial machine learning for data fusion and intelligent system. Inf. Fusion 114: 102683 (2025) - 2024
- [j80]Meng Li
, Zehong Cao, Zhibin Li:
Augmented Mixed Vehicular Platoon Control With Dense Communication Reinforcement Learning for Traffic Oscillation Alleviation. IEEE Internet Things J. 11(22): 35989-36001 (2024) - [j79]Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Few-shot class incremental learning via robust transformer approach. Inf. Sci. 675: 120751 (2024) - [j78]Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Cross-domain few-shot learning via adaptive transformer networks. Knowl. Based Syst. 288: 111458 (2024) - [j77]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:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024) - [j76]Shengjia Zhang, Mingrui Yin, Fuyuan Xiao, Zehong Cao, Danilo Pelusi:
A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification. IEEE Trans. Fuzzy Syst. 32(5): 3247-3259 (2024) - [j75]Meng Li, Zhibin Li, Zehong Cao:
Enhancing Car-Following Performance in Traffic Oscillations Using Expert Demonstration Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 25(7): 7751-7766 (2024) - [j74]Yingcheng Huang, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
Fractal Belief Rényi Divergence With its Applications in Pattern Classification. IEEE Trans. Knowl. Data Eng. 36(12): 8297-8312 (2024) - [j73]Cunbo Li, Peiyang Li, Yangsong Zhang, Ning Li, Yajing Si, Fali Li, Zehong Cao, Huafu Chen, Badong Chen, Dezhong Yao, Peng Xu:
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10258-10272 (2024) - [j72]Peiyang Li, Xiaohui Gao, Cunbo Li, Chanlin Yi, Weijie Huang, Yajing Si, Fali Li, Zehong Cao, Yin Tian, Peng Xu:
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16181-16195 (2024) - [j71]Zeyi Liu, Fuyuan Xiao, Chin-Teng Lin, Zehong Cao:
A Robust Evidential Multisource Data Fusion Approach Based on Cooperative Game Theory and Its Application in EEG. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 729-740 (2024) - [j70]Cunbo Li, Peiyang Li, Zhaojin Chen, Lei Yang, Fali Li, Feng Wan, Zehong Cao, Dezhong Yao, Bao-Liang Lu, Peng Xu:
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7794-7808 (2024) - [c19]Bin Chen, Zehong Cao:
HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance. AAMAS 2024: 2189-2191 - [c18]Kaining Zhang, Zehong Cao, Xianglin Zheng, Mark Billinghurst:
Identifying Hand-based Input Preference Based on Wearable EEG. AHs 2024: 102-118 - [c17]Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. MICCAI (2) 2024: 238-248 - [c16]Runqi Wang, Zehong Cao, Yichu He, Jiameng Liu, Feng Shi, Dinggang Shen:
Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. MLMI@MICCAI (1) 2024: 166-176 - [i20]Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks. CoRR abs/2401.13987 (2024) - [i19]Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Few-Shot Class Incremental Learning via Robust Transformer Approach. CoRR abs/2405.05984 (2024) - [i18]Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen:
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR abs/2407.21328 (2024) - [i17]Philippe Krajsic, Viola Suess, Zehong Cao, Ryszard Kowalczyk, Bogdan Franczyk:
Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication. CoRR abs/2410.03674 (2024) - [i16]Yingtao Ren, Yu-Cheng Chang, Thomas Do, Zehong Cao, Chin-Teng Lin:
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification. CoRR abs/2410.13390 (2024) - 2023
- [j69]Lang Zhang, Fuyuan Xiao, Zehong Cao:
Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory. Inf. Sci. 642: 119107 (2023) - [j68]Junjie Huang, Xingjian Song, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
Belief f-divergence for EEG complexity evaluation. Inf. Sci. 643: 119189 (2023) - [j67]Xiang Li, Qing Liu, Shiqing Wu, Zehong Cao, Quan Bai:
Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. J. Ind. Inf. Integr. 31: 100426 (2023) - [j66]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:
Information transmission velocity-based dynamic hierarchical brain networks. NeuroImage 270: 119997 (2023) - [j65]Yingcheng Huang, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
Higher Order Fractal Belief Rényi Divergence With Its Applications in Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14709-14726 (2023) - [j64]Guangming Wang, Ning Wu, Yi Tao, Won Hee Lee, Zehong Cao, Xiangguo Yan, Gang Wang:
The Diagnosis of Major Depressive Disorder Through Wearable fNIRS by Using Wavelet Transform and Parallel-CNN Feature Fusion. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j63]Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification. IEEE Trans. Knowl. Data Eng. 35(8): 7609-7623 (2023) - [j62]Zehong Cao, Chin-Teng Lin:
Reinforcement Learning From Hierarchical Critics. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1066-1073 (2023) - [j61]Shiming Chen, Peng Zhang, Guo-Sen Xie, Qinmu Peng, Zehong Cao, Wei Yuan, Xinge You:
Kernelized Similarity Learning and Embedding for Dynamic Texture Synthesis. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 824-837 (2023) - [c15]Xinping Liu, Zehong Cao:
Enhance Reading Comprehension from EEG-Based Brain-Computer Interface. AI (1) 2023: 545-555 - [c14]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:
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI 2023: 1-4 - [d1]Jianliang Min, Zehong Cao:
EEG datasets with different levels of fatigue for personal identification. IEEE DataPort, 2023
- [i15]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:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2022
- [j60]Qingyong Wang, Yun Zhou, Zehong Cao, Weiming Zhang:
M2SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. Expert Syst. Appl. 189: 115999 (2022) - [j59]Chaosheng Zhu, Fuyuan Xiao, Zehong Cao:
A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis. Inf. Sci. 605: 225-243 (2022) - [j58]Shunchao Wang, Zhibin Li, Zehong Cao, Alireza Jolfaei, Qi Cao:
Jam-Absorption Driving Strategy for Improving Safety Near Oscillations in a Connected Vehicle Environment Considering Consequential Jams. IEEE Intell. Transp. Syst. Mag. 14(2): 41-52 (2022) - [j57]Zhe Wang, Fuyuan Xiao, Zehong Cao:
Uncertainty measurements for Pythagorean fuzzy set and their applications in multiple-criteria decision making. Soft Comput. 26(19): 9937-9952 (2022) - [j56]Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin:
A Generalized Deep Neural Network Approach for Digital Watermarking Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 613-627 (2022) - [j55]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. IEEE Trans. Fuzzy Syst. 30(8): 3125-3137 (2022) - [i14]Zehong Cao, Jie Yun:
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving. CoRR abs/2201.08116 (2022) - [i13]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. CoRR abs/2209.09240 (2022) - 2021
- [j54]Fuyuan Xiao, Masayoshi Aritsugi, Jemal H. Abawajy, Zehong Cao, Rami Al-Hmouz, Peide Liu:
Editorial on Special Issue: "Applications of Intelligent and Fuzzy Theory in Data Science". Int. J. Fuzzy Syst. 23(2): 492-493 (2021) - [j53]Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao:
Attribute reduction with fuzzy rough self-information measures. Inf. Sci. 549: 68-86 (2021) - [j52]Chaosheng Zhu, Bowen Qin, Fuyuan Xiao, Zehong Cao, Hari Mohan Pandey:
A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion. Inf. Sci. 570: 306-322 (2021) - [j51]Zaoli Yang, Harish Garg, Jinqiu Li, Gautam Srivastava, Zehong Cao:
Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm. Neural Comput. Appl. 33(17): 10771-10786 (2021) - [j50]Kexu Zhang, Wen Shi, Chang Wang, Yamin Li, Zhian Liu, Tun Liu, Jing Li, Xiangguo Yan, Qiang Wang, Zehong Cao, Gang Wang:
Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states. NeuroImage 231: 117861 (2021) - [j49]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:
Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. NeuroImage 245: 118687 (2021) - [j48]Fali Li, Chanlin Yi, Yuanyuan Liao, Yuanling Jiang, Yajing Si, Limeng Song, Tao Zhang, Dezhong Yao, Yangsong Zhang, Zehong Cao, Peng Xu:
Reconfiguration of Brain Network Between Resting State and P300 Task. IEEE Trans. Cogn. Dev. Syst. 13(2): 383-390 (2021) - [j47]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
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. 18(5): 1645-1666 (2021) - [j46]Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network. IEEE Trans. Evol. Comput. 25(5): 986-1000 (2021) - [j45]Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo:
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 2-5 (2021) - [j44]Fuyuan Xiao, Zehong Cao, Alireza Jolfaei:
A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis. IEEE Trans. Fuzzy Syst. 29(1): 186-197 (2021) - [j43]Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin:
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29(6): 1395-1408 (2021) - [j42]Zehong Cao, Chin-Teng Lin, Yong Deng, Gerhard-Wilhelm Weber:
Guest Editorial: Fuzzy Systems Toward Human-Explainable Artificial Intelligence and Their Applications. IEEE Trans. Fuzzy Syst. 29(12): 3577-3578 (2021) - [j41]Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Zehong Cao, Jijoong Kim, Daniel Gibbons, Chin-Teng Lin:
Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. IEEE Trans. Fuzzy Syst. 29(12): 3676-3685 (2021) - [j40]Liming Fang, Yang Li, Zhe Liu, Changchun Yin, Minghui Li, Zehong Cao:
A Practical Model Based on Anomaly Detection for Protecting Medical IoT Control Services Against External Attacks. IEEE Trans. Ind. Informatics 17(6): 4260-4269 (2021) - [j39]Yamin Li, Wen Shi, Zhian Liu, Jing Li, Qiang Wang, Xiangguo Yan, Zehong Cao, Gang Wang:
Effective Brain State Estimation During Propofol-Induced Sedation Using Advanced EEG Microstate Spectral Analysis. IEEE J. Biomed. Health Informatics 25(4): 978-987 (2021) - [j38]Zemian Ke, Zhibin Li, Zehong Cao, Pan Liu:
Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning. IEEE Trans. Intell. Transp. Syst. 22(7): 4684-4695 (2021) - [j37]Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid Mohammed Ahmed Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu:
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging. IEEE Trans. Medical Imaging 40(12): 3787-3800 (2021) - [j36]Meng Li, Zehong Cao, Zhibin Li:
A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5309-5322 (2021) - [j35]Zehong Cao, Kaichiu Wong, Chin-Teng Lin:
Weak Human Preference Supervision for Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5369-5378 (2021) - [j34]Zijie Yue, Shuai Ding, Lei Zhao, Youtao Zhang, Zehong Cao, Mohammad Tanveer, Alireza Jolfaei, Xi Zheng:
Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework. ACM Trans. Internet Techn. 21(3): 57:1-57:21 (2021) - [j33]Zeyi Liu, Fuyuan Xiao, Chin-Teng Lin, Byeong Ho Kang, Zehong Cao:
A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3193-3204 (2021) - [c13]Xiaohu Li, Zehong Cao, Quan Bai:
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. AAAI 2021: 16075-16077 - [c12]Zehong Cao, Jie Yun:
An Online Human-Agent Interaction System: A Brain-controlled Agent Playing Games in Unity. AAMAS 2021: 1758-1760 - [c11]Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. MLMI@MICCAI 2021: 258-266 - [i12]Xinping Liu, Zehong Cao:
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading. CoRR abs/2103.15500 (2021) - 2020
- [j32]Zehong Cao, Peng Xu, Zhiguo Zhang, Gang Wang, Samu Taulu, Leandro Beltrachini:
IEEE Access Special Section Editorial: Neural Engineering Informatics. IEEE Access 8: 201696-201699 (2020) - [j31]Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, Chin-Teng Lin:
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. Neurocomputing 389: 198-206 (2020) - [j30]Qi Li, Zehong Cao, Muhammad Tanveer, Hari Mohan Pandey, Chen Wang:
A Semantic Collaboration Method Based on Uniform Knowledge Graph. IEEE Internet Things J. 7(5): 4473-4484 (2020) - [j29]Liming Fang, Yang Li, Xinyu Yun, Zhenyu Wen, Shouling Ji, Weizhi Meng, Zehong Cao, Muhammad Tanveer:
THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network. IEEE Internet Things J. 7(7): 5745-5759 (2020) - [j28]Yuzhen Han, Yong Deng, Zehong Cao, Chin-Teng Lin:
An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making. Neural Comput. Appl. 32(12): 7641-7659 (2020) - [j27]Yajing Si, Fali Li, Keyi Duan, Qin Tao, Cunbo Li, Zehong Cao, Yangsong Zhang, Bharat B. Biswal, Peiyang Li, Dezhong Yao, Peng Xu:
Predicting individual decision-making responses based on single-trial EEG. NeuroImage 206 (2020) - [j26]Qi Li, Jiang Zhong, Zehong Cao, Xue Li:
Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. Optim. Methods Softw. 35(6): 1144-1159 (2020) - [j25]Cuiping Cheng, Zehong Cao, Fuyuan Xiao:
A generalized belief interval-valued soft set with applications in decision making. Soft Comput. 24(13): 9339-9350 (2020) - [j24]Qi Li, Zehong Cao, Weiping Ding, Qing Li:
A multi-objective adaptive evolutionary algorithm to extract communities in networks. Swarm Evol. Comput. 52 (2020) - [j23]Weiping Ding, Gary G. Yen, Xinye Cai, Zehong Cao:
Foreword: Evolutionary data mining for big data. Swarm Evol. Comput. 57: 100738 (2020) - [j22]Liming Fang, Hongwei Zhu, Boqing Lv, Zhe Liu, Weizhi Meng, Yu Yu, Shouling Ji, Zehong Cao:
HandiText: Handwriting Recognition Based on Dynamic Characteristics with Incremental LSTM. Trans. Data Sci. 1(4): 25:1-25:18 (2020) - [j21]Zehong Cao, Chin-Teng Lin, Kuan-Lin Lai, Li-Wei Ko, Jung-Tai King, Kwong-Kum Liao, Jong-Ling Fuh, Shuu-Jiun Wang:
Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. IEEE Trans. Fuzzy Syst. 28(1): 14-27 (2020) - [j20]Gang Liu, Fuyuan Xiao, Chin-Teng Lin, Zehong Cao:
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. 28(11): 2677-2690 (2020) - [j19]Tanveer Hussain, Khan Muhammad, Amin Ullah, Zehong Cao, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM. IEEE Trans. Ind. Informatics 16(1): 77-86 (2020) - [j18]Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao:
Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 34:1-34:12 (2020) - [j17]Liming Fang, Changchun Yin, Juncen Zhu, Chunpeng Ge, Muhammad Tanveer, Alireza Jolfaei, Zehong Cao:
Privacy Protection for Medical Data Sharing in Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. 16(3s): 100:1-100:18 (2020) - [c10]Jiali Weng, Fuyuan Xiao, Zehong Cao:
Uncertainty Modelling in Multi-agent Information Fusion Systems. AAMAS 2020: 1494-1502 - [c9]Zehong Cao, Kaichiu Wong, Quan Bai, Chin-Teng Lin:
Hierarchical and Non-Hierarchical Multi-Agent Interactions Based on Unity Reinforcement Learning. AAMAS 2020: 2095-2097 - [c8]Xiaotong Gu, Zehong Cao:
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stroke Patients. ICONIP (5) 2020: 46-53 - [c7]Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. ICONIP (5) 2020: 54-61 - [c6]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:
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. iFUZZY 2020: 1-8 - [i11]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications. CoRR abs/2001.11337 (2020) - [i10]Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin:
A General Approach for Using Deep Neural Network for Digital Watermarking. CoRR abs/2003.12428 (2020) - [i9]Xianglin Zheng, Zehong Cao, Quan Bai:
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification. CoRR abs/2006.15357 (2020) - [i8]Zehong Cao, Kaichiu Wong, Chin-Teng Lin:
Human Preference Scaling with Demonstrations For Deep Reinforcement Learning. CoRR abs/2007.12904 (2020) - [i7]Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding:
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network. CoRR abs/2008.09388 (2020)
2010 – 2019
- 2019
- [j16]Qi Li, Jiang Zhong, Qing Li, Chen Wang, Zehong Cao:
A Community Merger of Optimization Algorithm to Extract Overlapping Communities in Networks. IEEE Access 7: 3994-4005 (2019) - [j15]Cuiping Cheng, Fuyuan Xiao, Zehong Cao:
A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix. IEEE Access 7: 70436-70446 (2019) - [j14]Zaoli Yang, Guanming Xiong, Zehong Cao, Yuchen Li, Lucheng Huang:
A Decision Method for Online Purchases Considering Dynamic Information Preference Based on Sentiment Orientation Classification and Discrete DIFWA Operators. IEEE Access 7: 77008-77026 (2019) - [j13]Liang-Yong Xia, Qing-Yong Wang, Zehong Cao, Yong Liang:
Descriptor Selection Improvements for Quantitative Structure-Activity Relationships. Int. J. Neural Syst. 29(9): 1950016:1-1950016:17 (2019) - [j12]Qi Li, Zehong Cao, Jiang Zhong, Qing Li:
Graph representation learning with encoding edges. Neurocomputing 361: 29-39 (2019) - [j11]Wenhong Ma, Lijun Cai, Tingqin He, Lei Chen, Zehong Cao, Renfa Li:
Local Expansion and Optimization for Higher-Order Graph Clustering. IEEE Internet Things J. 6(5): 8702-8713 (2019) - [j10]Shiming Chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, Zehong Cao:
Semi-supervised feature learning for improving writer identification. Inf. Sci. 482: 156-170 (2019) - [j9]Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, Tung-Ping Su:
Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG. IEEE Trans. Biomed. Eng. 66(6): 1668-16