• [04/2024] A scalable efficient multi-agent reinforcement learning was accepted by IEEE TNNLS.
• [03/2024] A reinforcement learning method for traffic oscillations was accepted by IEEE TITS.
• [01/2024] A multisource information fusion method was accepted by IEEE TFS.
• [12/2023] A human heuristic knowledge for reinforcement learning was accepted by AAMAS2024.
• [12/2023] A belief rényi divergence method for pattern classification was accepted by IEEE TKDE.
• [09/2023] I was invited to join Neural Networks as an Action Editor from 2024.
• [08/2023] A fractal belief divergence method for effective pattern classification was accepted by IEEE TPAMI.
• [08/2023] I was selected as one of (short-term) JSPS Invitational Fellows 2023!
• [07/2023] A large-size spacecraft autonomy proposal about dynamic resource allocation was supported by SmartSat CRC!
• [07/2023] An EEG Granger causal inference method for motor imagery was accepted by IEEE TNNLS.
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[05/2023] A belief f-divergence for EEG complexity method was accepted by Information Sciences.
[03/2023] An EEG graph topologies method for emotion recognition was accepted by IEEE TNNLS.
[11/2022] An international space research proposal about distributed satellite systems was supported by UA-DAAD!
[09/2022] I was selected as one of DAAD AInet Fellows 2022!
[09/2022] A complex multisource information fusion method was accepted by IEEE TKDE.
[06/2022] I was selected as one of Baidu AI Chinese Young Scholars (AI+X category) 2022!
[03/2022] I was invited to be a workshop chair of PRICAI 2022. Call for workshop proposals!
[02/2022] I will host IEEE ICA 2022 at Adelaide. Welcome submissions!
[01/2022] I was selected as ACM’s Distinguished Speaker for 3 years.
[12/2021] I was invited to join IEEE T-NNLS as an Associate Editor from 2022.
[12/2021] I was invited to join IEEE TFS as an Associate Editor from 2022.
[10/2021] A fuzzy control system study for multi-agent coordination was accepted by IEEE TFS.
[09/2021] I was invited as the Program Chair of IEEE ICA 2021.
[09/2021] An EEG-based analysis study for freezing of gait in PD patients was accepted by IEEE T-NSRE.
[08/2021] I am honoured to receive prestigious ARC DECRA Fellowship 2022! (announcement)
[08/2021] I was invited as the PC Member of AAMAS 2022, IJCAI 2022, and AAAI 2022.
[07/2021] A reinforcement learning from hierarchical critics method was accepted by IEEE T-NNLS. (code)
[06/2021] A spatiotemporal EEG source imaging method was accepted by IEEE TMI.
[05/2021] A weak human preference reinforcement learning was accepted by IEEE T-NNLS. (video)(code)
[03/2021] A reinforcement learning-based vehicle platoon control strategy was accepted by IEEE T-NNLS. (video)(code)
[02/2021] An online human brain-controlled human-agent interaction system demo was accepted by AAMAS 2021. (video)(code)
[02/2021] A reliability of EEG microstate analysis in densities was accepted by NeuroImage.
[01/2021] A comprehensive EEG-based BCI survey paper was accepted by IEEE-ACM TCBB.
[11/2020] I was invited as the SPC member of ICONIP 2020, and the PC member of AAAI 2020, AAMAS 2021, and IJCAI 2021.
[11/2020] I was selected as the Finalist [runner up] for Tasmanian STEM Young Researcher 2020.
[10/2020] A mountain driving environment demo work for autonomous vehicles was accepted by AAAI 2021. (video)
[08/2020] A brain evoked potential-guided representation study for visual classification was accepted by ICONIP 2020.
[06/2020] A fuzzy conflict measurement in decision making paper was accepted by IEEE TFS.
[05/2020] A reinforcement learning-based speed limit control in transportation work was accepted by IEEE TITS.
[03/2020] A multi-agent reinforcement learning interaction demo work was accepted by AAMAS 2020. (video)(code)
[02/2020] An uncertainty modelling in multi-agent information fusion work was accepted by AAMAS 2020.
[01/2020] A fuzzy interval time series forecasting model work was accepted by IEEE TFS.
[12/2019] Predicting EEG decision-making responses study was accepted by NeuroImage.
[05/2019] The first EEG recording description during a sustained-attention driving task was accepted by Scientific Data.
[02/2019] A visual stimulus inherent fuzzy entropy model for migraine patients was accepted by IEEE TFS. (code)

Call for Papers
• [03/2024] Call for Papers: Technical papers on substantial, original, and unpublished research in all aspects of Artificial Intelligence, at PRICAI2024.
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[02/2023] Special Session: New Trends of Adversarial Machine Learning for Data Fusion and Intelligent System at Information Fusion.
[08/2021] Program Chair: IEEE International Conference on Agents 2021 (IEEE ICA 2021). Welcome submissions.
[01/2021] Leading a Special Issue: Affective Computing and Regulation in Brain Computer Interface at Frontiers in Neuroscience.
[05/2020] Leading a Special Issue: Fuzzy Systems Toward Human-Explainable Artificial Intelligence and Their Applications at IEEE T-FS.
[04/2020] Leading a Special Session: Human-in-the-Loop Interactions in Machine Learning at ICONIP 2020.
[02/2020] Leading a Special Issue: Computational Intelligence and Human-Computer Interactions for Industrial Applications at IEEE T-II.
[12/2019] Leading a Special Session: Human-in-the-Loop Interactions in Fuzzy Reasoning and Machine Learning at IEEE-Fuzzy 2020.

• I am always open to recruit self-motivated, outstanding domestic/international PhD students who demonstrated strong background within my research areas. Interested candidates for PhD opportunities are strongly encouraged to contact me by email. Please attach your CV with academic transcripts and English test (if applicable), and discuss your research interest and experience (supported by a project/publication record). The (tuition+stipend) PhD scholarship will be provided through my research grant or university/industry financial support. In addition, self/external funded PhD students with research experience are acceptable.
• I am always open to working with UniSA Honour and Master students for short-term research projects, and I usually take up to 2 students each year. Don't hesitate to get in touch with me by email and specify your research interest. The programming skill is required by demonstrating familiarity with at least one language (Python, Java, C++ ...). A vacation research scholarship may be provided to domestic students from all universities to explore a future career in research.
  Fundamental knowledge/skills for new research students

  How to Quickly Learn Basics of Humans and AI/ML/Multiagent Systems?

  Neural Network and Deep Learning [Sketch] [Book] [Outlines(CN)] [Lecture(CN)]
  Multi-Agent with Reinforcement Learning [DeepMind&UCL] [Microsoft] [Unity] [Tricks] [Lecture(CN)] [RLChina(CN)]
  Brain-Computer Interface [Lecture] [Tutorial] [Datasets]

  How to Produce a Good/Top-tier Research Paper?

  What is research & How to do research [Basics] [From Z. Zhou(CN)]
  Guidelines for paper writing [Tips1] [Tips2] [Tips3] [Article(CN)] [Seminar(CN)]
  Guidelines for paper reading/rebuttal/review [Seminar] [Tutorial]
  Catch the deadline with your supervisor [From J-B Huang] [From Y. Chen(CN)]

• Expectations to students: If you are interested in doing a PhD, please think about it carefully before committing yourself to a PhD - Should you really do PhD? In addition to being diligent, honest and willing to learn new knowledge "on your own", you also need to demonstrate a solid background in computer science or related STEM fields and a genuine passion for solving critical emerging research problems. Your research outcomes shall target top-tier conference/journal publications or real-world impact to industry partners.
• From supervisor support: PhD full scholarship, comprehensive training and career development will be provided for a mutual interest research area in 6 incremental levels: awareness, understanding, replication, elaboration, innovation, and pioneer. I commit at least 1-2 hours/week individual (1:1) meeting for each student to discuss research progress, particularly in the beginning period of the research journey. I also strongly support to students for internship, visiting, collaboration, and networking opportunities. I have co-supervised over 10 students to graduate, and my primarily supervised students are highly sought after by good employers, for both internship and full-time opportunities.
The list of my primarily supervised students/postdoc
Dr Jianglin Qiao (Postdoc) [2024 – present | from Western Sydney University | IIIA-CSIC, Spain]
Yugu Li (PhD) [2024 – present | from Chinese Academy of Sciences]
Bin Chen (PhD) [2021 – present | from Beijing University of Posts and Telecommunications]
Linfeng Liang (Master) [2021 | from University of NSW | PhD candidate in Macquarie University]
Julia Jie Yun (Master/RA) [2020 – 2021 | from Nankai University | first job at Pitt&Sherry]
Xiaohu Li (Master) [2020 – 2021 | from University of Queensland | first job at Polixir]
Xinping Liu (Honour) [2020 – 2021 | Master degree in University of Washington]
Kai Chiu Wong (Master/RA) [2019 – 2020 | from City University of Hong Kong | first job at MyState Bank]

• A full list of my publications can be found from my Google Scholar profile.

• My significant research outcomes have been published by top-tier journal/conference venues (CORE A* & JCR Q1), such as IEEE TPAMI, TNNLS, TFS, TKDE, TMI, TNSRE, JBHI, AAMAS, AAAI ...

• Neural Networks, 2024 - Present.
• IEEE Transactions on Neural Networks and Learning Systems, 2022 - Present.
• IEEE Transactions on Fuzzy Systems, 2022 - Present.
• Frontiers in Neuroscience, 2021 - Present.
• Neurocomputing, 2019 - Present.
• Scientific Data, 2019 - Present.

• Information Fusion, 2022 - 2023.
• IEEE Transactions on Fuzzy Systems, 2020 - 2021.
• IEEE Transactions on Industrial Informatics, 2020 - 2021.

Program Committee Member/Reviewer:

• Conferences: AAMAS, AAAI, IJCAI, NeurIPS, IEEE-Fuzzy, ICONIP, PRICAI, AJCAI ...
• Journals: IEEE TPAMI, TNNLS, TFS, TKDE, TCYB, TSMC-S, TNSRE, JBHI ...