Jimmy Cao

Research Interests

Artificial Intelligence Autonomous agents and multiagent systems Human-centred computing Neural, Evolutionary and Fuzzy Computation Reinforcement learning

APrf Jimmy Cao

Enterprise Fellow

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Available For Media Comment.

I am a research-intensive academic in STEM (Information Technology) as an Enterprise Fellow, ARC DECRA Fellow and Senior Lecturer.
I am leading human-agent interaction and learning research, and my research innovations build the bridge between human cognition and AI agent and their applications to support decision-making, including brain-computer interface, deep reinforcement learning, human-in-the-loop reasoning, multi-agent systems, and relevant applications (e.g., clinical/healthcare, ground transportation and space). For recent updates and detailed information, please visit my personal website: https://czh513.github.io
I am open to self-motivated, outstanding PhD applicants and also interested in working with UniSA Honour/Master students for short-term research projects. Interested applicants, please contact me by email - Jimmy.Cao@unisa.edu.au.

Date Position Institution name
2021 - 2025 Senior Lecturer University of South Australia

Date Type Title Institution Name Country Amount
2022 Fellowship ARC DECRA 2022 Australian Research Council Australia -

Date Institution name Country Title
2015 - 2017 University of Technology Sydney Australia PhD

Year Citation
2025 Li, C., Tang, T., Pan, Y., Lei, Y., Zhang, S., Chen, Z., . . . Xu, P. (2025). An efficient graph learning system for emotion recognition inspired by the cognitive prior graph of EEG brain network. IEEE Transactions on Neural Networks and Learning Systems, 36(4), 7130-7144.
DOI Scopus34 WoS32 Europe PMC13
2025 Li, C., Cao, Z., Pan, Y., Zhu, P., Li, P., Li, F., . . . Xu, P. (2025). EEG-Based emotion monitoring and regulation system by learning the discriminative brain network manifold. IEEE Transactions on Neural Networks and Learning Systems, 36(10), 1-16.
DOI Scopus2 WoS2
2025 Wang, G., Tao, Y., Wu, N., Li, R., Lee, W. H., Cao, Z., . . . Wang, G. (2025). The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network. IEEE Transactions on Affective Computing, 16(4), 3512-3522.
DOI
2025 Li, C., Zhang, S., Mu, Y., Yang, L., Peng, Y., Li, F., . . . Xu, P. (2025). Emotion Recognition by Learning the Manifold of Fused Multiscale Information of EEG Signals. IEEE Transactions on Affective Computing, 16(3), 2172-2188.
DOI Scopus8 WoS7
2025 Xiong, X., Xiao, F., Cao, Z., & Ding, W. (2025). RTFN-MSIF: A Reinforced TFN-based Multisource Information Fusion for Pattern Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, online(12), 1-15.
DOI
2025 Ye, M., Cao, Z., Zhu, Z., Chen, S., Zhou, J., Yang, H., . . . Zhang, B. (2025). Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas. FRONTIERS IN ONCOLOGY, 15, 11 pages.
DOI WoS2
2025 Chen, B., Cao, Z., & Bai, Q. (2025). SATF: A scalable attentive transfer framework for efficient multiagent reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems, 36(4), 6627-6641.
DOI Scopus2 WoS2 Europe PMC1
2025 Ding, W., Zhang, Z., Martínez, L., Huang, Y., Cao, Z. J., Liu, J., & Banerjee, A. (2025). New trends of adversarial machine learning for data fusion and intelligent system. Information Fusion, 114(102683), 1-3.
DOI
2025 A Hady, M., Hu, S., Pratama, M., Cao, Z., & Kowalczyk, R. (2025). Multi-agent reinforcement learning for resources allocation optimization: a survey. Artificial Intelligence Review: an international science and engineering journal, 58(354), 1-49.
DOI Scopus1
2025 Masoumzadeh, S., Yu, R., Bornkessel Schlesewsky, I., Gu, N., Zhang, F., Cao, Z., & Sakhaei, H. (2025). Neuroscientific methodologies in urban studies: a systematic review and new directions for evidence-based urban design and planning. Cities & Health, online, 1-22.
DOI Scopus1 WoS1
2025 Chen, B., Cao, Z., Mayer, W., Stumptner, M., & Kowalczyk, R. (2025). HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning. Neural Networks, 187, 13 pages.
DOI Scopus2 WoS2
2024 Li, C., LI, P., Chen, Z., Yang, L., Li, F., Wan, F., . . . Xu, P. (2024). Brain network manifold learned by cognition-inspired graph embedding model for emotion recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(12), 7794-7808.
DOI Scopus14 WoS12
2024 Yi, C., Zhang, J., Weng, Z., Chen, W., Yao, D., Li, F., . . . Xu, P. (2024). Nonparametric dynamic Granger causality based on multi-space spectrum fusion for time-varying directed brain network construction. IEEE Journal of Biomedical and Health Informatics, in press, 1-10.
DOI Scopus4 Europe PMC2
2024 Paeedeh, N., Pratama, M., Wibirama, S., Mayer, W., Cao, Z., & Kowalczyk, R. (2024). Few-shot class incremental learning via robust transformer approach. Information Sciences, 675(120751), 1-21.
DOI Scopus2
2024 Huang, Y., Xiao, F., Cao, Z., & Lin, C. T. (2024). Fractal belief rényi divergence with Its applications in pattern classification. IEEE Transactions on Knowledge and Data Engineering, 36(12), 8297-8312.
DOI Scopus32 WoS26
2024 Paeedeh, N., Pratama, M., Masum, M. A., Mayer, W., Cao, Z., & Kowalczyk, R. (2024). Cross-domain few-shot learning via adaptive transformer networks. Knowledge-based Systems, 288(111458), 1-9.
DOI Scopus17 WoS14
2024 Zhang, S., Yin, M., Xiao, F., Cao, Z., & Pelusi, D. (2024). A complex gaussian fuzzy numbers-based multisource information fusion for pattern classification. IEEE Transactions on Fuzzy Systems, 32(2-s2.0-85188005039), 3247-3259.
DOI Scopus10 WoS8
2024 Li, M., Cao, Z., & Li, Z. (2024). Augmented mixed vehicular platoon control with dense communication reinforcement learning for traffic oscillation alleviation. IEEE Internet of Things Journal, 11(22), 35989-36001.
DOI Scopus10 WoS6
2024 LI, M., Li, Z., & Cao, Z. (2024). Enhancing car-following performance in traffic oscillations using expert demonstration reinforcement learning. IEEE Transactions on Intelligent Transportation Systems, 25(7), 7751-7766.
DOI Scopus11 WoS9
2024 Li, P., Gao, X., Li, C., Yi, C., Huang, W., Si, Y., . . . Xu, P. (2024). Granger causal inference based on dual Laplacian distribution and its application to MI-BCI classification. IEEE Transactions on Neural Networks and Learning Systems, 35(11), 16181-16195.
DOI Scopus15 WoS13 Europe PMC4
2024 Li, C., Zhang, Y., Li, N., Si, Y., Cao, Z., Chen, H., . . . Xu, P. (2024). Effective emotion recognition by learning discriminative graph topologies in EEG brain networks. IEEE Transactions on Neural Networks and Learning Systems, 35(8), 10258-10272.
DOI Scopus74 WoS70 Europe PMC24
2023 Wang, G., Wu, N., Tao, Y., Lee, W. H., Cao, Z., Yan, X., & Wang, G. (2023). The diagnosis of major depressive disorder through wearable fNIRS by using wavelet transform and parallel-CNN feature fusion. IEEE Transactions on Instrumentation and Measurement, 72(4011311), 1-11.
DOI Scopus19 WoS46
2023 Huang, Y., Xiao, F., Cao, Z., & Lin, C. T. (2023). Higher order fractal belief Rényi divergence with its applications in pattern classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 14709-14726.
DOI Scopus51 WoS45 Europe PMC4
2023 Liu, Z., Xiao, F., Lin, C. T., & Cao, Z. (2023). A robust evidential multisource data fusion approach based on cooperative game theory and its application in EEG. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(2), 729-740.
DOI Scopus8 WoS8
2023 Chen, S., Zhang, P., Xie, G. S., Peng, Q., Cao, Z., Yuan, W., & You, X. (2023). Kernelized similarity learning and embedding for dynamic texture synthesis. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(2), 824-837.
DOI Scopus1
2023 Xiao, F., Cao, Z., & Lin, C. T. (2023). A complex weighted discounting multisource information fusion with Its application in pattern classification. IEEE Transactions on Knowledge and Data Engineering, 35(8), 7609-7623.
DOI Scopus75 WoS83
2023 Li, X., Liu, Q., Wu, S., Cao, Z., & Bai, Q. (2023). Game theory based compatible incentive mechanism design for non-cryptocurrency blockchain systems. Journal of Industrial Information Integration, 31(100426), 1-12.
DOI Scopus22 WoS14
2023 Huang, J., Song, X., Xiao, F., Cao, Z., & Lin, C. T. (2023). Belief f-divergence for EEG complexity evaluation. Information Sciences, 643(119189), 1-15.
DOI Scopus12 WoS12
2023 Zhang, L., Xiao, F., & Cao, Z. (2023). Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory. Information Sciences, 642(119107), 1-14.
DOI Scopus24 WoS19
2023 John, A. R., Cao, Z., Chen, H. T., Martens, K. E., Georgiades, M., Gilat, M., . . . Lin, C. T. (2023). Predicting the Onset of Freezing of Gait Using EEG Dynamics. Applied Sciences, 13(1), 1-9.
DOI Scopus8 WoS6
2023 Jiang, L., Li, F., Chen, Z., Zhu, B., Yi, C., Li, Y., . . . Xu, P. (2023). Information transmission velocity-based dynamic hierarchical brain networks. NeuroImage, 270(119997), 1-31.
DOI Scopus10 WoS11 Europe PMC5
2023 Cao, Z., & Lin, C. T. (2023). Reinforcement Learning From Hierarchical Critics. IEEE Transactions on Neural Networks and Learning Systems, 34(2), 1066-1073.
DOI Scopus7 WoS7 Europe PMC2
2022 Pei, C., Qiu, Y., Li, F., Huang, X., Si, Y., Li, Y., . . . Xu, P. (2022). The different brain areas occupied for integrating information of hierarchical linguistic units: a study based on EEG and TMS. Cerebral Cortex, 33(8), 4740-4751.
DOI Scopus5 WoS6 Europe PMC5
2022 Wang, Q., Zhou, Y., Cao, Z., & Zhang, W. (2022). M²SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. Expert Systems with Applications, 189(115999), 1-9.
DOI Scopus9 WoS8
2022 Li, P., Li, C., Bore, J. C., Si, Y., Li, F., Cao, Z., . . . Xu, P. (2022). L1-norm based time-varying brain neural network and its application to dynamic analysis for motor imagery. Journal of Neural Engineering, 19(2, article no. 026019), 1-17.
DOI Scopus13 WoS12 Europe PMC6
2022 Shi, Y., Zhang, L., Cao, Z., Tanveer, M., & Lin, C. T. (2022). Distributed semi-supervised fuzzy regression with interpolation consistency regularization. IEEE Transactions on Fuzzy Systems, 30(8), 3125-3137.
DOI Scopus10 WoS8
2022 Zhu, C., Xiao, F., & Cao, Z. (2022). A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis. Information Sciences, 605, 225-243.
DOI Scopus68 WoS65
2022 Wang, Z., Xiao, F., & Cao, Z. (2022). Uncertainty measurements for pythagorean fuzzy set and their applications in multiple-criteria decision making. Soft Computing, 26(19), 9937-9952.
DOI Scopus51 WoS45
2022 Ding, W., Ming, Y., Cao, Z., & Lin, C. T. (2022). A generalized deep neural network approach for digital watermarking analysis. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(3), 613-627.
DOI Scopus48 WoS36
2021 Fang, L., Li, Y., Liu, Z., Yin, C., Li, M., & Cao, Z. J. (2021). A practical model based on anomaly detection for protecting medical IoTcontrol services against external attacks. IEEE Transactions on Industrial Informatics, 17(6, article no. 9146676), 4260-4269.
DOI Scopus50 WoS39
2021 Zhang, K., Shi, W., Wang, C., Li, Y., Liu, Z., Liu, T., . . . Wang, G. (2021). Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states. NeuroImage, 231(117861), 1-11.
DOI Scopus65 WoS57 Europe PMC40
2021 Yue, Z., Ding, S., Zhao, L., Zhang, Y., Cao, Z., Tanveer, M., . . . Zheng, X. (2021). Privacy-preserving time-series medical images analysis using a hybrid deep learning framework. ACM Transactions on Internet Technology, 21(3, article no. 57), 1-21.
DOI Scopus34 WoS24
2021 Wang, S., Li, Z., Cao, Z., Jolfaei, A., & Cao, Q. I. (2021). Jam-absorption driving strategy for improving safety near oscillations in connected vehicle environment considering secondary jam. IEEE Intelligent Transportation Systems Magazine, 14(2), 41-52.
DOI Scopus16 WoS12
2021 Yang, Z., Garg, H., Li, J., Srivastava, G., & Cao, Z. (2021). Investigation of multiple heterogeneous relationships using a q-rung orthopair fuzzy multi-criteria decision algorithm. Neural Computing and Applications, 33(17), 10771-10786.
DOI Scopus51 WoS50
2021 Ke, Z., Li, Z., Cao, Z., & Liu, P. (2021). Enhancing transferability of deep reinforcement learning-based variable speed limit control using transfer learning. IEEE Transactions on Intelligent Transportation Systems, 22(7, article no. 21049800), 4684-4695.
DOI Scopus60 WoS49
2021 Gu, X., Cao, Z., Jolfaei, A., Xu, P., Wu, D., Jung, T. P., & Lin, C. T. (2021). EEG-based brain-computer interfaces (BCIs): a survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(5), 1645-1666.
DOI Scopus310 WoS232 Europe PMC96
2021 Chen, S., Wang, W., Xia, B., You, X., Peng, Q., Cao, Z., & Ding, W. (2021). CDE-GAN: cooperative dual evolution-based generative adversarial network. IEEE Transactions on Evolutionary Computation, 25(5), 986-1000.
DOI Scopus44 WoS37
2021 Cao, Z., Lin, C. T., Deng, Y., & Weber, G. W. (2021). Guest Editorial: Fuzzy systems toward human-explainable artificial intelligence and their applications. IEEE Transactions on Fuzzy Systems, 29(12), 3577-3578.
DOI Scopus6 WoS6
2021 Li, F., Li, Y., Zheng, H., Jiang, L., Gao, D., Li, C., . . . Xu, P. (2021). Identification of the general anesthesia induced loss of consciousness by cross fuzzy entropy-based brain network. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 2281-2291.
DOI Scopus8 WoS8 Europe PMC4
2021 Li, F., Jiang, L., Liao, Y., Si, Y., Yi, C., Zhang, Y., . . . Xu, P. (2021). Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study. Journal of Neural Engineering, 18(4, article no. 046097), 1-17.
DOI Scopus36 WoS30 Europe PMC20
2021 Li, M., Cao, Z., & Li, Z. (2021). A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations. IEEE Transactions on Neural Networks and Learning Systems, 32(12), 5309-5322.
DOI Scopus119 WoS101 Europe PMC7
2021 Chang, Y. C., Shi, Y., Dostovalova, A., Cao, Z., Kim, J., Gibbons, D., & Lin, C. T. (2021). Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. IEEE Transactions on Fuzzy Systems, 29(12), 3676-3685.
DOI Scopus26 WoS20
2021 Cao, Z., John, A. R., Chen, H. T., Martens, K. E., Georgiades, M., Gilat, M., . . . Lin, C. T. (2021). Identification of EEG dynamics during freezing of gait and voluntary stopping in patients with Parkinson's disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29(9521191), 1774-1783.
DOI Scopus31 WoS18 Europe PMC9
2021 Cao, Z., Wong, K., & Lin, C. T. (2021). Weak human preference supervision for deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems, 32(12), 5369-5378.
DOI Scopus53 WoS38 Europe PMC8
2021 Bore, J. C., Li, P., Jiang, L., Ayedh, W. M. A., Chen, C., Harmah, D. J., . . . Xu, P. (2021). A long short-term memory network for sparse spatiotemporal EEG source imaging. IEEE Transactions on Medical Imaging, 40(12), 3787-3800.
DOI Scopus45 WoS34 Europe PMC21
2021 Akella, A., Singh, A. K., Leong, D., Lal, S., Newton, P., Clifton-Bligh, R., . . . Lin, C. T. (2021). Classifying Multi-Level Stress Responses from Brain Cortical EEG in Nurses and Non-Health Professionals Using Machine Learning Auto Encoder. IEEE Journal of Translational Engineering in Health and Medicine, 9(9424034), 9 pages.
DOI Scopus27 WoS13 Europe PMC6
2021 Li, Y., Shi, W., Liu, Z., Li, J., Wang, Q., Yan, X., . . . Wang, G. (2021). Effective brain state estimation during propofol-induced sedation using advanced EEG microstate spectral analysis. IEEE Journal of Biomedical and Health Informatics, 25(4), 978-987.
DOI Scopus30 WoS26 Europe PMC13
2021 Lin, C. T., King, J. T., John, A. R., Huang, K. C., Cao, Z., & Wang, Y. K. (2021). The Impact of Vigorous Cycling Exercise on Visual Attention: A Study With the BR8 Wireless Dry EEG System. Frontiers in Neuroscience, 15(621365), 10 pages.
DOI Scopus11 WoS9 Europe PMC4
2021 Xiao, F., Cao, Z., & Jolfaei, A. (2021). A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis. IEEE Transactions on Fuzzy Systems, 29(1), 186-197.
DOI Scopus146 WoS91
2021 Dingr, W., Pal, N. R., Lin, C. T., Cheung, Y. M., Cao, Z., & Luo, W. (2021). Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments. IEEE Transactions on Emerging Topics in Computational Intelligence, 5(1), 2-5.
DOI Scopus1 WoS1
2021 Ding, W., Pedrycz, W., Triguero, I., Cao, Z., & Lin, C. T. (2021). Multigranulation Supertrust Model for Attribute Reduction. IEEE Transactions on Fuzzy Systems, 29(6), 1395-1408.
DOI Scopus64 WoS59
2021 Zhu, C., Qin, B., Xiao, F., Cao, Z., & Pandey, H. M. (2021). A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion. Information Sciences, 570, 306-322.
DOI Scopus59 WoS51
2021 Li, F., Yi, C., Liao, Y., Jiang, Y., Si, Y., Song, L., . . . Xu, P. (2021). Reconfiguration of Brain Network between Resting State and P300 Task. IEEE Transactions on Cognitive and Developmental Systems, 13(2), 383-390.
DOI Scopus20 WoS17
2021 Liu, Z., Xiao, F., Lin, C. T., Kang, B. H., & Cao, Z. (2021). A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis. IEEE Transactions on Systems Man and Cybernetics Systems, 51(5), 3193-3204.
DOI Scopus18 WoS17
2021 Xiao, F., Aritsugi, M., Abawajy, J. H., Cao, Z., Al-Hmouz, R., & Liu, P. (2021). Editorial on Special Issue: “Applications of Intelligent and Fuzzy Theory in Data Science”. International Journal of Fuzzy Systems, 23(2), 492-493.
DOI Scopus1
2021 Fang, L., Yin, C., Zhu, J., Ge, C., Tanveer, M., Jolfaei, A., & Cao, Z. (2021). Privacy Protection for Medical Data Sharing in Smart Healthcare. ACM Transactions on Multimedia Computing Communications and Applications, 16(3s), 18 pages.
DOI Scopus48 WoS41
2021 Wang, C., Huang, Y., Ding, W., & Cao, Z. (2021). Attribute reduction with fuzzy rough self-information measures. Information Sciences, 549, 68-86.
DOI Scopus159 WoS145
2020 Wang, G., Wang, D., Du, C., Li, K., Zhang, J., Liu, Z., . . . Yan, X. (2020). Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(12), 2711-2720.
DOI Scopus105 WoS81 Europe PMC43
2020 Cao, Z., Xu, P., Zhang, Z., Wang, G., Taulu, S., & Beltrachini, L. (2020). IEEE Access Special section Editorial: Neural engineering informatics. IEEE Access, 8, 201696-201699.
DOI
2020 Ding, W., Yen, G. G., Cai, X., & Cao, Z. (2020). Foreword: Evolutionary data mining for big data. Swarm and Evolutionary Computation, 57(100738), 2 pages.
DOI
2020 Li, Q., Zhong, J., Cao, Z., & Li, X. (2020). Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. Optimization Methods and Software, 35(6), 1144-1159.
DOI Scopus3 WoS3
2020 Fang, L., Li, Y., Yun, X., Wen, Z., Ji, S., Meng, W., . . . Tanveer, M. (2020). THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network. IEEE Internet of Things Journal, 7(7), 5745-5759.
DOI Scopus48 WoS44
2020 Han, Y., Deng, Y., Cao, Z., & Lin, C. T. (2020). An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making. Neural Computing and Applications, 32(12), 7641-7659.
DOI Scopus61 WoS78
2020 Wang, Q., Zhou, Y., Ding, W., Zhang, Z., Muhammad, K., & Cao, Z. (2020). Random forest with self-paced bootstrap learning in lung cancer prognosis. ACM Transactions on Multimedia Computing Communications and Applications, 16(1s), 12 pages.
DOI Scopus42 WoS27
2020 Hussain, T., Muhammad, K., Ullah, A., Cao, Z., Baik, S. W., & De Albuquerque, V. H. C. (2020). Cloud-assisted multiview video summarization using CNN and bidirectional LSTM. IEEE Transactions on Industrial Informatics, 16(1), 77-86.
DOI Scopus127 WoS107
2020 Cao, Z., Lin, C. T., Lai, K. L., Ko, L. W., King, J. T., Liao, K. K., . . . Wang, S. J. (2020). Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. IEEE Transactions on Fuzzy Systems, 28(1), 14-27.
DOI Scopus100 WoS95
2020 Si, Y., Li, F., Duan, K., Tao, Q., Li, C., Cao, Z., . . . Xu, P. (2020). Predicting individual decision-making responses based on single-trial EEG. NeuroImage, 206(116333), 1-10.
DOI Scopus62 WoS56 Europe PMC33
2020 Fang, L., Zhu, H., Lv, B., Liu, Z., Meng, W., Yu, Y., . . . Cao, Z. (2020). Handitext: handwriting recognition based on dynamic characteristics with incremental LSTM. ACM/IMS Transactions on Data Science, 1(4, article no. 25), 1-18.
DOI
2020 Li, Q., Cao, Z., Tanveer, M., Pandey, H. M., & Wang, C. (2020). A semantic collaboration method based on uniform knowledge graph. IEEE Internet of Things Journal, 7(5, article no. 19611264), 4473-4484.
DOI Scopus16 WoS10
2020 Liu, G., Xiao, F., Lin, C. T., & Cao, Z. (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. IEEE Transactions on Fuzzy Systems, 28(11, article no. 20130816), 2677-2690.
DOI Scopus63 WoS57
2020 Li, Q., Cao, Z., Tanveer, M., Pandey, H. M., & Wang, C. (2020). An effective reliability evaluation method for power communication network based on community structure. IEEE Transactions on Industry Applications, 56(4), 4489-4500.
DOI Scopus10 WoS7
2020 Cao, Z., Ding, W., Wang, Y. K., Hussain, F. K., Al Jumaily, A., & Lin, C. T. (2020). Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. Neurocomputing, 389, 198-206.
DOI Scopus76 WoS80
2020 Li, Q., Cao, Z., Ding, W., & Li, Q. (2020). A multi-objective adaptive evolutionary algorithm to extract communities in networks. Swarm and Evolutionary Computation, 52(100629), 1-12.
DOI Scopus40 WoS38
2020 Cheng, C., Cao, Z., & Xiao, F. (2020). A generalized belief interval-valued soft set with applications in decision making. Soft Computing, 24(13), 9339-9350.
DOI Scopus13 WoS13
2019 Brown, P., Tan, A. -C., El-Esawi, M. A., Liehr, T., Blanck, O., Gladue, D. P., . . . Zhou, Y. (2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database: the journal of biological databases and curation, 2019(baz085), baz085-1-baz085-66.
DOI Scopus28 WoS36 Europe PMC13
2019 Cao, Z., Lin, C. T., Ding, W., Chen, M. H., Li, C. T., & Su, T. P. (2019). Identifying ketamine responses in treatment-resistant depression using a wearable forehead EEG. IEEE Transactions on Biomedical Engineering, 66(6), 1668-1679.
DOI Scopus71 WoS70 Europe PMC47
2019 Yang, Z., Li, X., Cao, Z., & Li, J. (2019). Q-rung orthopair normal fuzzy aggregation operators and their application in multi-attribute decision-making. Mathematics, 7(12, article no. 1142), 1-26.
DOI Scopus22 WoS20
2019 Ma, W., Cai, L., He, T., Chen, L., Cao, Z., & Li, R. (2019). Local expansion and optimization for higher-order graph clustering. IEEE Internet of Things Journal, 6(5, article no. 19044357), 8702-8713.
DOI Scopus14 WoS13
2019 Li, Q., Cao, Z., Zhong, J., & Li, Q. (2019). Graph representation learning with encoding edges. Neurocomputing, 361, 29-39.
DOI Scopus21 WoS23
2019 Xia, L. Y., Wang, Q. Y., Cao, Z., & Liang, Y. (2019). Descriptor selection improvements for quantitative structure-activity relationships. International Journal of Neural Systems, 29(9, article no. 1950016), 1-16.
DOI Scopus16 WoS13 Europe PMC6
2019 Cheng, C., Xiao, F., & Cao, Z. (2019). A new distance for intuitionistic fuzzy sets based on similarity matrix. IEEE Access, 7(18732099), 70436-70446.
DOI Scopus25 WoS21
2019 Yang, Z., Xiong, G., Cao, Z., Li, Y., & Huang, L. (2019). A decision method for online purchases considering dynamic information preference based on sentiment orientation classification and discrete DIFWA operators. IEEE Access, 7(18769877), 77008-77026.
DOI Scopus24 WoS19
2019 Li, Q., Zhong, J., Li, Q., Wang, C., & Cao, Z. (2019). A community merger of optimization algorithm to extract overlapping communities in networks. IEEE Access, 7, 3994-4005.
DOI Scopus8 WoS7
2019 Cao, Z., Chuang, C. H., King, J. K., & Lin, C. T. (2019). Multi-channel EEG recordings during a sustained-attention driving task. Scientific Data, 6(1), 19.
DOI Scopus254 WoS221 Europe PMC60
2019 Ding, W., Lin, C. T., & Cao, Z. (2019). Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction with Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces. IEEE Transactions on Neural Networks and Learning Systems, 30(7), 2013-2027.
DOI Scopus41 WoS40 Europe PMC2
2019 Ding, W., Lin, C. T., & Cao, Z. (2019). Deep neuro-cognitive co-evolution for fuzzy attribute reduction by quantum leaping PSO with nearest-neighbor memeplexes. IEEE Transactions on Cybernetics, 49(7), 2744-2757.
DOI Scopus90 WoS90 Europe PMC8
2019 Chen, S., Wang, Y., Lin, C. T., Ding, W., & Cao, Z. (2019). Semi-supervised feature learning for improving writer identification. Information Sciences, 482, 156-170.
DOI Scopus47 WoS35
2018 Chuang, C. H., Cao, Z., King, J. T., Wu, B. S., Wang, Y. K., & Lin, C. T. (2018). Brain electrodynamic and hemodynamic signatures against fatigue during driving. Frontiers in Neuroscience, 12(MAR), 12 pages.
DOI Scopus64 WoS55 Europe PMC35
2018 Cao, Z., Lai, K. L., Lin, C. T., Chuang, C. H., Chou, C. C., & Wang, S. J. (2018). Exploring resting-state EEG complexity before migraine attacks. Cephalalgia, 38(7), 1296-1306.
DOI Scopus55 WoS50 Europe PMC31
2018 Meng, T., Cai, L., He, T., Chen, L., Deng, Z., Ding, W., & Cao, Z. (2018). A Modified Distance Dynamics Model for Improvement of Community Detection. IEEE Access, 6(18495548), 63934-63947.
DOI Scopus4 WoS4
2018 Deng, Z., He, T., Ding, W., & Cao, Z. (2018). A multimodel fusion engine for filtering webpages. IEEE Access, 6, 66062-66071.
DOI Scopus3 WoS2
2018 Ding, W., Lin, C. T., Prasad, M., Cao, Z., & Wang, J. (2018). A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue. IEEE Transactions on Fuzzy Systems, 26(3), 1177-1191.
DOI Scopus56 WoS50
2018 He, T., Cai, L., Meng, T., Chen, L., Deng, Z., & Cao, Z. (2018). Parallel community detection based on distance dynamics for large-scale network. IEEE Access, 6(18017175), 42775-42789.
DOI Scopus18 WoS16
2018 Cao, Z., & Lin, C. T. (2018). Inherent fuzzy entropy for the improvement of EEG complexity evaluation. IEEE Transactions on Fuzzy Systems, 26(2), 1032-1035.
DOI Scopus189 WoS176
2017 Lin, C. T., Liu, Y. T., Wu, S. L., Cao, Z., Wang, Y. K., Huang, C. S., . . . Chuang, C. H. (2017). EEG-based brain-computer interfaces a novel neurotechnology and computational intelligence method. IEEE systems man and cybernetics magazine, 3(4, article no. 17376955), 16-26.
DOI WoS32
2017 Lin, C. T., Chuang, C. H., Cao, Z., Singh, A. K., Hung, C. S., Yu, Y. H., . . . Wang, S. J. (2017). Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment. IEEE Access, 5(16950338), 10612-10621.
DOI Scopus68 WoS61
2016 Cao, Z., Lin, C. T., Chuang, C. H., Lai, K. L., Yang, A. C., Fuh, J. L., & Wang, S. J. (2016). Resting-state EEG power and coherence vary between migraine phases. Journal of Headache and Pain, 17(1, article no. 102), 1-9.
DOI Scopus69 WoS62 Europe PMC50
2014 Yang, L., Sajja, H. K., Cao, Z., Qian, W., Bender, L., Marcus, A. I., . . . Wang, Y. A. (2014). uPAR-targeted Optical Imaging Contrasts as Theranostic Agents for Tumor Margin Detection. THERANOSTICS, 4(1), 106-118.
DOI WoS68

Year Citation
2020 Zheng, X., Cao, Z., & Bai, Q. (2020). An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification. In Source details - Title: International Conference on Neural Information Processing: CONIP 2020: Neural Information Processing (Vol. 1333, pp. 54-61). Switzerland: Springer International Publishing.
DOI Scopus9
2020 Gu, X., & Cao, Z. (2020). An EEG majority vote based BCI classification system for discrimination of hand motor attempts in stroke patients. In Event/exhibition information: International Conference on Neural Information Processing, Bangkok, Thailand, 18/11/2020-22/11/2020
Source details - Title: International Conference on Neural Information Processing: CONIP 2020: Neural Information Processing (Vol. 1333, pp. 46-53). US: Springer.
DOI
2019 Li, Q., Zhong, J., Li, Q., Cao, Z., & Wang, C. (2019). Enhancing network embedding with implicit clustering. In G. Li, J. Yang, J. Gama, J. Natwichai, & Y. Tong (Eds.), Event/exhibition information: 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, 22/04/2019-25/04/2019
Source details - Title: International Conference on Database Systems for Advanced ApplicationsDASFAA 2019: Database Systems for Advanced Applications (Vol. 11446 LNCS, pp. 452-467). Switzerland: Springer.
DOI Scopus7 WoS2
2019 Park, M., Yang, W., Cao, Z., Kang, B., Connor, D., & Lea, M. A. (2019). Marine vertebrate predator detection and recognition in underwater videos by region convolutional neural network. In K. Ohara, & Q. Bai (Eds.), Event/exhibition information: 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019 held in conjunction with the 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019, Yanuka Island, 26/08/2019-27/08/2019
Source details - Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11669 LNAI, pp. 66-80). Switzerland: Springer.
DOI Scopus5 WoS3

Year Citation
2025 Li, Y., Cao, Z., Qiao, J., & Hu, S. (2025). Nucleolus credit assignment for effective coalitions in multi-agent reinforcement learning. In Y. Vorobeychik, S. Das, & A. Nowé (Eds.), Proc. of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2025) (pp. 1318-1326). US: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
2025 Pan, Y., Li, C., Li, P., Li, F., Wan, F., Yao, D., . . . Xu, P. (2025). Real-Time EEG Emotion Recognition from Dynamic Mixed Spatiotemporal Graph Learning. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 5697-5706). ACM.
DOI
2025 Zhou, J., Leong, D., Cao, Z., Do, T., Liang, S. F., Jung, T. P., & Lin, C. T. (2025). MindSpeak: A Real-Time BCI System for Silent Speech. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 13549-13551). ACM.
DOI
2025 Zhou, J., Cao, Z., Duan, Y., Barkley, C., Leong, D., Jiang, X., . . . Lin, C. T. (2025). Pretraining Large Brain Language Model for Active BCI: Silent Speech. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 5883-5892). ACM.
DOI
2025 Wang, H., Liu, L., Li, J., Xu, Z., Liu, J., Cao, Z., & Cheng, D. (2025). Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders. In Www 2025 Proceedings of the ACM Web Conference (pp. 413-424). US: ACM.
DOI
2024 Zhang, K., Cao, Z., Zheng, X., & Billinghurst, M. (2024). Identifying Hand-based Input Preference Based on Wearable EEG. In ACM International Conference Proceeding Series (pp. 102-118). US: ASSOC COMPUTING MACHINERY.
DOI Scopus2 WoS1
2024 Masoumzadeh, S., Yu, R., Gu, N., Bornkessel Schlesewsky, I., Cao, J., & Zhang, F. (2024). Designing in different realities: how virtual environment fidelity influences design thinking-Insights from pilot studies. In F. Zhang (Ed.), Harmony in Architectural Science and Design: Sustaining the Future. Proceedings of the 57th International Conference of the Architectural Science Association (pp. 180-187). Australia: The Architectural Science Association (ANZAScA).
2024 Yun, J., & Cao, Z. (2024). Autonomous driving agents for safe road junctions through deep reinforcement learning. In Proceedings 2024 IEEE International Conference on Agents ICA 2024 (pp. 39-44). US: IEEE.
DOI
2024 Cao, Z. J., Jung, T. P., & Xu, P. (2024). BCIMM Workshop Chairs' Welcome. In BCIMM 2024 - Proceedings of the 1st International Workshop on Brain-Computer Interfaces BCI for Multimedia Understanding, Co-Located with: MM 2024 (pp. III). US: Association for Computing Machinery.
2024 Liu, X., & Cao, Z. (2024). Enhance reading comprehension from EEG-based brain-computer interface. In T. Liu, L. Yue, G. Webb, & D. Wang (Eds.), Australasian Joint Conference on Artificial Intelligence: AI 2023: AI 2023: Advances in Artificial Intelligence Vol. 14471 LNAI (pp. 545-555). Singapore: Springer.
DOI Scopus1 WoS1
2024 Chen, B., & Cao, Z. (2024). HLG: bridging human heuristic knowledge and deep reinforcement learning for optimal agent performance. In AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems Vol. 2024-May (pp. 2189-2191). US: ACM.
Scopus1
2023 Gao, L., Yin, M., Xiao, F., & Cao, Z. (2023). A complex belief Jensen-Shannon divergence in complex evidence theory for decision-making. In Proceedings of the IEEE International Conference on Unmanned Systems (ICUS) (pp. 299-304). US: IEEE.
DOI
2021 Li, X., Cao, Z., & Bai, Q. (2021). A novel mountain driving unity simulated environment for autonomous vehicles. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 35 (pp. 16075-16077). US: Association Advancement Artificial Intelligence.
DOI Scopus5 WoS3
2021 Cao, Z., & Yun, J. (2021). An online human-agent interaction system: a brain-controlled agent playing games in unity. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 3 (pp. 1758-1760). UK: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
DOI
2021 Cao, Z., & Yun, J. (2021). An online human-agent interaction system: A brain-controlled agent playing games in unity. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas Vol. 3 (pp. 1746-1748).
Scopus1
2020 Weng, J., Xiao, F., & Cao, Z. (2020). Uncertainty modelling in multi-agent information fusion systems. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas Vol. 2020-May (pp. 1494-1502). UK: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
Scopus8
2020 Cao, Z., Wong, K., Bai, Q., & Lin, C. T. (2020). Hierarchical and non-hierarchical multi-agent interactions based on unity reinforcement learning. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas Vol. 2020-May (pp. 2095-2097). UK: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)..
DOI Scopus11
2020 Lin, C. T., Huang, K. C., Pal, N. R., Cao, Z., Liu, Y. T., Fang, C. N., . . . Wu, S. L. (2020). Adaptive subspace sampling for class imbalance processing-some clarifications, algorithm, and further investigation including applications to brain computer interface. In International Conference on Fuzzy Theory and Its Applications, iFUZZY 2020 (pp. 1-8). US: IEEE.
DOI
2019 Cao, Z., Chang, Y. C., Prasad, M., Tanveer, M., & Lin, C. T. (2019). Tensor decomposition for EEG signals retrieval. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics Vol. 2019-October (pp. 2423-2427). US: IEEE.
DOI Scopus2 WoS2
2017 Cao, Z., Prasad, M., & Lin, C. T. (2017). Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy. In IEEE International Conference on Fuzzy Systems (pp. 1-5). US: IEEE.
DOI Scopus12 WoS5
2015 Cao, Z., Ko, L. W., Lai, K. L., Huang, S. B., Wang, S. J., & Lin, C. T. (2015). Classification of migraine stages based on resting-state EEG power. In Proceedings of the 2015 International Joint Conference on Neural Networks Vol. 2015-September (pp. 1-5). US: IEEE.
DOI Scopus20 WoS6

  • A closed-loop human–agent learning framework to enhance decision making, ARC - Discovery Early Career Researcher Award, 01/10/2022 - 18/10/2026

  • Warm Starts and Goal-based Heuristics to Improve MARL Performance in Advanced Distributed Defence, Defence Innovation Partnership, 01/12/2023 - 31/12/2024

Date Role Research Topic Program Degree Type Student Load Student Name
2024 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Mr Mingjun Fan
2024 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Mohamad Abdul Hady
2024 Principal Supervisor - Doctor of Philosophy Doctorate Full Time Yugu Li
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Naeem Paeedeh
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Soroush Masoumzadeh
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Monirul Islam Pavel
2023 Co-Supervisor - Doctor of Philosophy Doctorate Full Time Mr Haolin Wang

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