Incentivising Diffusion while Preserving Differential Privacy
Uncertainty in Artificial Intelligence (UAI) 2023
Mengxiao Zhang, Fengjuan Jia, Jiamou Liu, Bakhadyr Khoussainov
Contrastive Learning for Signed Bipartite Graphs
Special Interest Group on Information Retrieval (SIGIR) 2023
Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang
Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge
International Conference on Learning Representations (ICLR) 2023, tiny paper
Qianqian Qi, Qiming Bao, Alex Peng, Jiamou Liu, Michael Witbrock
RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks
The Web Conference (WWW) 2023
Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Wang Yupan, Kaiqi Zhao, Zijian Zhang
A Survey of Data Pricing for Data Marketplaces
IEEE Transactions on Big Data
Mengxiao Zhang, Jiamou Liu, Fernando Beltran
Adversarial Inverse Reinforcement Learning for Mean Field Games
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
Yang Chen, Libo Zhang, Jiamou Liu and Michael Witbrock
Learning Density-Based Correlated Equilibria for Markov Games
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock and Jiamou Liu
Differentially Private Diffusion Auction: The Single-unit Case
22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu and Bakh Khoussainov
USER: unsupervised robust learning for GNN
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
Yifei Wang, Yupan Wang, Yang Song, Zeyu Zhang
MSDC: non-intrusive load monitoring with a dual-CNN model
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Neural-Symbolic Learning and Reasoning (NeSy2022)
Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
Text-based Risky Decision-Making Guided by Fuzzy Trace Theory
Findings of NAACL 2022
Jaron Mar, Jiamou Liu
Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
SIGIR 2022
Song Yang, Jiamou Liu, Kaiqi Zhao
Interconnected Neural Linear Contextual Bandits with UCB Exploration
26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-22)
Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao
Residual Entropy-based Graph Generative Algorithms
21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)
W. Liu, J. Liu, Y. Liu, Z. Zhang
Individual-Level Inverse Reinforcement Learning for Mean Field Games
21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022)
Yang Chen, Libo Zhang, Jiamou Liu, Shuyue Hu
Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
Twelfth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-22)
Ni, Bao, Li, Qi, Denny, Warren, Witbrock, Liu
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
IEEE International Conference on Data Mining (ICDM) 2021
Song Yang, Jiamou Liu, Kaiqi Zhao
The Impact of Top Scientist on the Community Development of Basic Research Directed by Government Funding: Evidence from Program 973 in China
Scientometrics (journal)
Jinyang Dong, Jiamou Liu, Tiezhong Liu
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
ICML 2021: International Conference on Machine Learning 2021.
Yiwei Liu, Jiamou Liu, Bakhadyr Khoussainov, Zijian Zhang
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
ACL 2021: Annual Meeting of the Association for Computational Linguistics, 2021.
B Sun, S Feng, Y Li, J Liu, K Li
Exchange, adopt, evolve: Modeling the spreading of opinions through cognition and interaction in a social network
Information Sciences 551, 1-22 (IF: 5.524), 2021.
Y Tang, J Liu, W Chen
On improving knowledge graph facilitated simple question answering system
Neural Computing and Applications (IF: 5.858), 1-10, 2021.
X Li, H Zang, X Yu, H Wu, Z Zhang, J Liu, M Wang
GACAN Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series
IJCNN 2021: International Joint Conference on Neural Network, 2021.
S Zhang, H Zheng, H Su, B Yan, J Liu, S Yang
Social Capital Games as A Framework for Social Structural Pattern Emergence
ASONAM 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020.
Y Chen, J Liu
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
