Selected Publications

 

Who is Driving? Event-Driven Driver Identification and Impostor Detection Through Support Vector Machine
IEEE Sensors Journal, Volume: 20, Issue: 12, June 15, 2020. (IF:3.076)
M. Rahim, J. Liu, Z. Zhang, L. Zhu, X. Li, S. Khan

Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme
IEEE Transactions on Vehicular Technology (Volume: 69, Issue: 1, Jan. 2020) (IF: 5.339)
M. Rahim, L. Zhu, X.Li, J. Liu, Z. Zhang, Z. Qin, S. Khan, K. Gai

WiPOS: A POS Terminal Password Inference System Based on Wireless Signals
IEEE Internet of Things Journal, 2020.
Z. Zhang, N. Avazov, J. Liu, B. Khoussainov, X. Li, K. Gai, L. Zhu

On the Use of Dictionary Learning in Time Series Imputation
28th European Signal Processing Conference (EUSIPCO 2020), 2020.
X. Zheng, B. Dumitrescu, J. Liu, C. Giurcaneanu

Selling Data at an Auction under Privacy Constraints
UAI 2020: 36th Conference on Uncertainty in Artificial Intelligence, 2020.
M. Zhang, F. Beltran, J. Liu

Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building
AAMAS 2020: 19th International Conference on Autonomous Agents and Multi-Agent Systems, 2020.
Y. Chen, J. Liu, H. Zhao, H. Su

What’s in a gist? Towards an unsupervised gist representation for few-shot large document classification
PAKDD 2020: The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, 2020.
J. Mar, J. Liu

HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
Australasian Computer Science Week, ACSW 2020, Melbourne, Australia.
Q. Bao, L. Ni, J. Liu

Becoming Gatekeepers Together with Allies: Collaborative Brokerage over Social Networks
ASONAM 2019. IEEE/ACM International Conference on Social Networks Analysis and Mining, Vancouver, Canada, 2019.
Y. Chen, J. Liu

Can Reinforcement Learning Enhance Social Capital?
International Conference on Web Information Systems Engineering 2019, 157-171, Springer.
Y. Chen, J. Liu

REM: From Structural Entropy to Community Structure Deception
NeurIPS 2019. Thirty-third Conference on Neural Information Processing Systems
Y. Liu, J. Liu, Z. Zhang, Z. Zhu, A. Li

On the maximization of influence over an unknown social network (extended abstract)
AAMAS 2019: 18th International Conference on Autonomous Agents and Multi-Agent Systems, Montreal, 2019.
B. Yan, K. Song, J. Liu, Y. Liu

To be Big Picture Thinker or Detail-Oriented? Utilizing Perceived Gist Information to Achieve Efficient Convention Emergence with Bilateralism and Multilateralism (extended abstract)
AAMAS 2019: 18th International Conference on Autonomous Agents and Multi-Agent Systems, Montreal, 2019.
S. Hu, C. Leong, H. Leong, J. Liu

Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting
IJCNN 2019: International Joint Conference on Neural Network, Budapest, Hungary, 2019.
N. Avazov, J. Liu, B. Khoussainov

Distributed Community Detection over Blockchain Networks Based on Structural Entropy
ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI 2019), held in conjunction with AsiaCCS 2019. (Best paper award)
Y. Chen, J. Liu

A Model of Minority Influence in Preferential Norm Formation
International Symposium on Knowledge and Systems Sciences KSS 2019. 106-121. Springer.
Q.Liu, H. Zheng, W. Li, J. Liu, B. Yan, H. Su,

Time-Efficient Network Monitoring Through Confined Search and Adaptive Evaluation
PRICAI 2019.
Q. Hu, A. Li, J. Liu, J. Liu

A Reinforcement Learning Approach to Gaining Social Capital with Partial Observation (extended abstract)
PRICAI 2019.
H. Zhao, H. Su, Y. Chen, J. Liu, H. Zheng, B. Yan,

From the Periphery to the Core: Information Brokerage in an Evolving Network
the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018).
B. Yan, Y. Liu, J. Liu

Balancing the Pain and Gain of Hobnobbing: Utility-based Network Building over Attributed Social Networks
AAMAS-18: 17th International Conference on Autonomous Agents and Multiagent Systems.
Y. Cai, H. Zheng, J. Liu, B. Yan, Y. Liu

Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering
IJCNN 2018: International Joint Conference on Neural Networks.
H. Zhao, J. Liu

Evaluating and Analyzing Reliability over Decentralized and Complex Networks
22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia.
J. Mar, J. Liu, W. Chen, Y. Tang, T. Sun,

An Agent-based Approach to Simulate Post-earthquake Indoor Crowd Evacuation
The 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2018), Tokyo, Japan.
L. Ni, V. Gonzalez, J. Liu, A. Rahouti, L. Zhang, B. P. Taing

MSO Theory of Decidable Infinite and Bi-infinite Words
Logical Methods in Computer Science. 14(3), 2018.
D. Kuske, J. Liu, A. Moskvina,

A Framework for Domain-Specific Natural Language Information Brokerage
Journal of Systems Science and Systems Engineering. (2018). 559–585. Springer 2018.
N. Lin, J. Liu

Network, Popularity and Social Cohesion: A Game-Theoretic Approach
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA, 2017
J. Liu, Z. Wei

What Becomes of the Broken Hearted? – An Agent-Based Approach to Self-Evaluation, Interpersonal Loss, and Suicide Ideation
AAMAS-17: Proceedings of the Sixteenth International Conference on Autonomous Agents and Multiagent Systems, Sao Paulo, Brazil, 2017
J. Liu, L. Li, K. Russell

Dynamic Relationship Building: Exploitation Versus Exploration on a Social Network
WISE-17: The 18th International Conference on Web Information Systems Engineering, Russia. 2017.
B. Yan, Y. Chen, J. Liu

MANDY: Towards A Smart Primary Care Chatbot Application
KSS-17: The 18th International Symposium on Knowledge and Systems Sciences, Bangkok, Thailand. 2017.
L. Ni, C. Lu, N. Liu, J. Liu

How to Build Your Network: A Structural Analysis
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp: 2597-2603. New York. AAAI Press, 2016.
A. Moskvina, J. Liu

Togetherness: An Algorithmic Approach to Network Integration
Proceedings of thee IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
A. Moskvina, J. Liu

Hierarchies, Ties and Power in Organizational Networks: Model and Analysis
Social Network Analysis and Mining 6(1). 106:1-106:26. Springer 2016.
J. Liu, A. Moskvina