Dr Jiamou Liu
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
See https://www.liuailab.org/ for more information.
- Artificial Intelligence
- Computational Social Networks
- Intelligent Agents and Multi-agent Systems
- Natural language processing
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
I am supervising / co-supervising a number of PhD Students.
See https://www.liuailab.org/ for details.
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
BSc(Hon) Coordinator - CS
Project Coordinator - CS
Areas of expertise
Computational social network
Selected publications and creative works (Research Outputs)
- Zheng, X., Dumitrescu, B., Liu, J., & Giurcaneanu, C. D. (2020). On the use of dictionary learning in time series imputation. Proceedings of the 28th European Signal Processing Conference, 2016-2020. Amsterdam, Netherlands. Related URL.
Other University of Auckland co-authors: Ciprian Giurcaneanu, Xiaomeng Zheng
- Li, M., Zhang, K., Liu, J., Gong, H., & Zhang, Z. (2020). Blockchain-based anomaly detection of electricity consumption in smart grids. Pattern Recognition Letters, 138, 476-482. 10.1016/j.patrec.2020.07.020
- Zhang, M. X., Beltran, F., & Liu, J. (2020). Selling data at an auction under privacy constraints. Proceedings of Machine Learning Research (PMLR), 124, 669-678. Virtual online. Related URL.
Other University of Auckland co-authors: Fernando Beltran
- Zhang, Z., Avazov, N., Liu, J., Khoussainov, B., Li, X., Gai, K., & Zhu, L. (2020). WiPOS: A POS Terminal Password Inference System Based on Wireless Signals. IEEE INTERNET OF THINGS JOURNAL, 7 (8), 7506-7516. 10.1109/JIOT.2020.2986700
- Rahim, M. A., Liu, J., Zhang, Z., Zhu, L., Li, X., & Khan, S. (2020). Who is Driving? Event-Driven Driver Identification and Impostor Detection through Support Vector Machine. IEEE Sensors Journal, 20 (12), 6552-6559. 10.1109/JSEN.2020.2976539
- Chen, Y., Liu, J., Zhao, H., & Su, H. (2020). Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building. In A. E. F. Seghrouchni, G. Sukthankar, B. An, N. Yorke-Smith (Eds.) AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, 1807-1809. Auckland, New Zealand: International Foundation for Autonomous Agents and Multiagent SystemsRichlandSC. Related URL.
Other University of Auckland co-authors: Yang Chen
- Bao, Q., Ni, L., & Liu, J. (2020). HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention. ACM International Conference Proceeding Series. 10.1145/3373017.3373049
Other University of Auckland co-authors: Qiming Bao
- Mar, J., & Liu, J. (2020). What’s in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-47426-3_21