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Dr Jiamou Liu

PhD (Auckland)

Biography

2016 - Present     Lecturer / (Since 2019) Senior Lecturer , The University of Auckland, New Zealand
2013 - 2016         Senior Lecturer, Auckland University of Technology, NZ
2013                    Visiting Researcher, Paris Diderot University - Paris 7, France
2011 - 2012         Lecturer, Auckland University of Technology, NZ
2009 - 2010         Research Associate, University of Leipzig, Germany
2008                    Research Intern, Microsoft Research Asia, China
2005,2007,2008  Visiting PhD Student, Department of Mathematics, Cornell University, USA
2006 - 2010         PhD Candidate, The University of Auckland, NZ
2006                    Visiting Student, Singapore National University, Singapore
2005                    Summer Scholar, Australian National University, Australia
2002 - 2005         BSc(Hon), The University of Auckland, NZ

Research | Current

  • Artificial Intelligence
  • Computational Social Networks
  • Intelligent Agents and Multi-agent Systems
  • Computational Linguistics

My research interests lie in the intersection between theoretical computer science and artificial intelligence. Recently my research mainly focuses on the interdisciplinary area of computational social science and multi-agent systems.

My main research activities involve exploring social networks; topics of interests include interpersonal ties, influence, communities structures, information diffusion and social cohesion. I am also interested in pure and applied aspects of logic, algorithmic model theory, computational complexity and automata theory.   

Teaching | Current

I have taught the courses COMPSCI225, COMPSCI367, SOFTENG 211, SOFTENG 250, COMPSCI 767

Postgraduate supervision

I am supervising / co-supervising the following PhD Students and their general directions:

Nurilla Avarov (Since Oct 2017) - Neural Network and Machine Learning

Mengxiao Zhang (Since May 2018) - Issues on Pricing and Privacy in Data Marketplace

Jaron Mar (since Oct 2018) - Natural Language Processing

Yang Chen (since Nov 2018) - Mutli-agent Systems and Social Networks

Roger Su (since Nov 2018) - Spectral Graph Theory

 

 

Distinctions/Honours

2014 Vice-Chancellor's Award of Excellence on Teaching (Highly Commended), AUT
2013 DCT Faculty Teaching and Learning Award (For Excellence in Teaching), AUT
2011 Vice-Chencellor's Award of Excellence on Research (Emerging Researcher), AUT
2008 Microsoft Research Asia Fellowship

Responsibilities

BSc(Hon) Coordinator - CS

Project Coordinator - CS

Selected publications and creative works (Research Outputs)

  • He, J., Zhang, Z., Zhu, L., Zhu, Z., Liu, J., & Gai, K. (2019). An Efficient and Accurate Nonintrusive Load Monitoring Scheme for Power Consumption. IEEE Internet of Things Journal, 6 (5), 9054-9063. 10.1109/JIOT.2019.2926815
  • Chen, Y., & Liu, J. (2019). Distributed community detection over blockchain networks based on structural entropy. BSCI 2019 - Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, co-located with AsiaCCS 2019. 10.1145/3327960.3332381
    URL: http://hdl.handle.net/2292/48058
    Other University of Auckland co-authors: Yang Chen
  • Avazov, N., Liu, J., & Khoussainov, B. (2019). Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting. Proceedings of the International Joint Conference on Neural Networks. 10.1109/IJCNN.2019.8851710
    Other University of Auckland co-authors: Bakh Khoussainov
  • Hu, S., Leung, C. W., Leung, H. F., & Liu, J. (2019). To be big picture thinker or detail-oriented? Utilizing perceived GIST information to achieve efficient convention emergence with bilateralism and multilateralism. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS.
  • Hu, Q., Li, A., Liu, J., & Liu, J. (2019). Time-Efficient Network Monitoring Through Confined Search and Adaptive Evaluation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-29911-8_49
  • Zhao, H., Su, H., Chen, Y., Liu, J., Zheng, H., & Yan, B. (2019). A reinforcement learning approach to gaining social capital with partial observation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-29908-8_9
    Other University of Auckland co-authors: Yang Chen
  • Zhao, H. J., & Liu, J. (2018). Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering. Proceedings of the International Joint Conference on Neural Networks. 10.1109/IJCNN.2018.8489756
  • Ni, L., & Liu, J. (2018). A Framework for Domain-Specific Natural Language Information Brokerage. Journal of Systems Science and Systems Engineering, 27 (5), 559-585. 10.1007/s11518-018-5389-1

Contact details

Primary office location

SCIENCE CENTRE 303S - Bldg 303S
38 PRINCES ST
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

Social links

Web links