Jiamou Liu

Orcid: 0000-0002-0824-0899

Affiliations:
  • The University of Auckland, New Zealand


According to our database1, Jiamou Liu authored at least 153 papers between 2008 and 2024.

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Bibliography

2024
Graph-Based Covert Transaction Detection and Protection in Blockchain.
IEEE Trans. Inf. Forensics Secur., 2024

Signed Graph Representation Learning: A Survey.
CoRR, 2024

Memory-Based Resilient Control Against Non-cooperation in Multi-agent Flocking.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
InFocus: Amplifying Critical Feature Influence on Non-Intrusive Load Monitoring Through Self-Attention Mechanisms.
IEEE Trans. Smart Grid, September, 2023

A Survey of Data Pricing for Data Marketplaces.
IEEE Trans. Big Data, August, 2023

Incorporation of BIM-based probabilistic non-structural damage assessment into agent-based post-earthquake evacuation simulation.
Adv. Eng. Informatics, April, 2023

SmartAuction: A blockchain-based secure implementation of private data queries.
Future Gener. Comput. Syst., 2023

S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction.
CoRR, 2023

Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey.
CoRR, 2023

CSG: Curriculum Representation Learning for Signed Graph.
CoRR, 2023

SGA: A Graph Augmentation Method for Signed Graph Neural Networks.
CoRR, 2023

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.
CoRR, 2023

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.
CoRR, 2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.
CoRR, 2023

Fairness in Ranking Supermartingales.
CoRR, 2023

Zero-Knowledge Proof-based Practical Federated Learning on Blockchain.
CoRR, 2023

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

Incentivising Diffusion while Preserving Differential Privacy.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Contrastive Learning for Signed Bipartite Graphs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph-Based Log Anomaly Detection via Adversarial Training.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

STF: Spatial Temporal Fusion for Trajectory Prediction.
Proceedings of the 29th International Conference on Mechatronics and Machine Vision in Practice, 2023

SupConFL: Fault Localization with Supervised Contrastive Learning.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

MaD: A Dataset for Interview-based BPM in Business Process Management.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Integrated Private Data Trading Systems for Data Marketplaces.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Multi-Unit Auction over a Social Network.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework.
Proceedings of the Data Science and Machine Learning, 2023

Learning Density-Based Correlated Equilibria for Markov Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Differentially Private Diffusion Auction: The Single-unit Case.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Adversarial Inverse Reinforcement Learning for Mean Field Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Centralization Problem for Opinion Convergence in Decentralized Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dictionary learning for signals in additive noise with generalized Gaussian distribution.
Signal Process., 2022

THINK: A novel conversation model for generating grammatically correct and coherent responses.
Knowl. Based Syst., 2022

Multivariate Time Series Imputation: An Approach Based on Dictionary Learning.
Entropy, 2022

Centralization Problem for Opinion Convergence in Decentralized Networks.
CoRR, 2022

Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification.
CoRR, 2022

A hybrid hierarchical agent-based simulation approach for buildings indoor layout evaluation based on the post-earthquake evacuation.
Adv. Eng. Informatics, 2022

GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

An Anomaly Detection Framework for System Logs Based on Ensemble Learning.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Interconnected Neural Linear Contextual Bandits with UCB Exploration.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Residual Entropy-based Graph Generative Algorithms.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Individual-Level Inverse Reinforcement Learning for Mean Field Games.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Time-Efficient Ensemble Learning with Sample Exchange for Edge Computing.
ACM Trans. Internet Techn., 2021

Gist Trace-based Learning: Efficient Convention Emergence from Multilateral Interactions.
ACM Trans. Auton. Adapt. Syst., 2021

The impact of top scientists on the community development of basic research directed by government funding: evidence from program 973 in China.
Scientometrics, 2021

On improving knowledge graph facilitated simple question answering system.
Neural Comput. Appl., 2021

Exchange, adopt, evolve: Modeling the spreading of opinions through cognition and interaction in a social network.
Inf. Sci., 2021

GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series.
CoRR, 2021

Maximum Entropy Inverse Reinforcement Learning for Mean Field Games.
CoRR, 2021

Exploring active attacks for three incorrect implementations of the ISO/IEC 9798 in satellite networks.
Comput. Commun., 2021

Improving Togetherness Using Structural Entropy.
Proceedings of the Mobile Computing, Applications, and Services, 2021

Attacking Community Detectors: Mislead Detectors via Manipulating the Graph Structure.
Proceedings of the Mobile Computing, Applications, and Services, 2021

From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments.
Proceedings of the 38th International Conference on Machine Learning, 2021

Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting.
Proceedings of the IEEE International Conference on Data Mining, 2021

Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme.
IEEE Trans. Veh. Technol., 2020

Blockchain-based anomaly detection of electricity consumption in smart grids.
Pattern Recognit. Lett., 2020

WiPOS: A POS Terminal Password Inference System Based on Wireless Signals.
IEEE Internet Things J., 2020

Selling Data at an Auction under Privacy Constraints.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

What's in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

On the Use of Dictionary Learning in Time Series Imputation.
Proceedings of the 28th European Signal Processing Conference, 2020

Incentive Mechanism for Social Network Data Pricing under Privacy Preservation.
Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020

Network Embedding Based On Structural Information Entropy: Network embedding.
Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020

Whispers on Ethereum: Blockchain-based Covert Data Embedding Schemes.
Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020

Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Social Capital Games as A Framework for Social Structural Pattern Emergence.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention.
Proceedings of the Australasian Computer Science Week, 2020

2019
An Efficient and Accurate Nonintrusive Load Monitoring Scheme for Power Consumption.
IEEE Internet Things J., 2019

Optimizing the restoration performance of deduplication systems through an energy-saving data layout.
Ann. des Télécommunications, 2019

Can Reinforcement Learning Enhance Social Capital?
Proceedings of the Web Information Systems Engineering, 2019

A Reinforcement Learning Approach to Gaining Social Capital with Partial Observation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Time-Efficient Network Monitoring Through Confined Search and Adaptive Evaluation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

REM: From Structural Entropy to Community Structure Deception.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Summarizing the Slices: Sample-Based Core-Periphery Classification on Complex Networks.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

Exploratory Community Detection: Finding Communities in Unknown Networks.
Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2019

Interpersonal Ties and the Social Link Recommendation Problem.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Establishing Ties with Bounded Capacity and Limited Network Access.
Proceedings of the ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, 2019

Efficient and Robust Emergence of Conventions through Learning and Staying.
Proceedings of the IEEE International Conference on Agents, 2019

Maximizing Social Welfare in Fractional Hedonic Games using Shapley Value.
Proceedings of the IEEE International Conference on Agents, 2019

How to Improve the Cohesion of a Social Network? A Structural Perspective.
Proceedings of the 2019 Seventh International Symposium on Computing and Networking, 2019

Decentralized Ensemble Learning Based on Sample Exchange among Multiple Agents.
Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019

Session details: Session 3: Blockchain-enabled Applications.
Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019

A New Complex Network Robustness Attack Algorithm.
Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019

Distributed Community Detection over Blockchain Networks Based on Structural Entropy.
Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019

On the Maximization of Influence Over an Unknown Social Network.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 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 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Becoming gatekeepers together with allies: collaborative brokerage over social networks.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

In Pursuit of Social Capital: Upgrading Social Circle Through Edge Rewiring.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
Infinite and Bi-infinite Words with Decidable Monadic Theories.
Log. Methods Comput. Sci., 2018

From the Periphery to the Center: Information Brokerage in an Evolving Network.
CoRR, 2018

An Agent-Based Approach to Simulate Post-earthquake Indoor Crowd Evacuation.
Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

A Search Optimization Method for Rule Learning in Board Games.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Establishing Connections in a Social Network - Radial Versus Medial Centrality Indices.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Evaluating and Analyzing Reliability over Decentralized and Complex Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Improving Influence Maximization from Samples: An Empirical Analysis.
Proceedings of the 14th International Conference on Mobile Ad-Hoc and Sensor Networks, 2018

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

From the Periphery to the Core: Information Brokerage in an Evolving Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Balancing the Pain and Gain of Hobnobbing: Utility-Based Network Building over Atributed Social Networks.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Dynamic Relationship Building: Exploitation Versus Exploration on a Social Network.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Modeling anomalous attention over an online social network through read/post analytics.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Facility Location Selection Using Community-Based Single Swap: A Case Study.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017

A consensus value approach for influence maximization in social networks.
Proceedings of the IEEE International Conference on Agents, 2017

Detecting abnormal attention in online social networks from local views.
Proceedings of the IEEE International Conference on Agents, 2017

Contextual Keys.
Proceedings of the Conceptual Modeling - 36th International Conference, 2017

What Becomes of the Broken Hearted?: An Agent-Based Approach to Self-Evaluation, Interpersonal Loss, and Suicide Ideation.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

From Secrete Admirer to Cyberstalker: A Measure of Online Interpersonal Surveillance.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Network, Popularity and Social Cohesion: A Game-Theoretic Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Hierarchies, ties and power in organizational networks: model and analysis.
Soc. Netw. Anal. Min., 2016

Dynamic Algorithms for Multimachine Interval Scheduling Through Analysis of Idle Intervals.
Algorithmica, 2016

Decision Problems for Finite Automata over Infinite Algebraic Structures.
Proceedings of the Implementation and Application of Automata, 2016

Towards Exposing Cyberstalkers in Online Social Networks.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

How to Build Your Network? A Structural Analysis.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Measuring Structural Resilience through a Carrier Network Model.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

Integrating Networks of Equipotent Nodes.
Proceedings of the Computational Social Networks - 5th International Conference, 2016

Togetherness: An algorithmic approach to network integration.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Dynamic algorithms for monotonic interval scheduling problem.
Theor. Comput. Sci., 2015

A Game of Attribute Decomposition for Software Architecture Design.
Proceedings of the Theoretical Aspects of Computing - ICTAC 2015, 2015

Hierarchies, Ties and Power in Organisational Networks: Model and Analysis.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Dynamic Partial Sorting.
CoRR, 2014

Dynamic Algorithms for Interval Scheduling on a Single Machine.
CoRR, 2014

From a Local to a Global Perspective of Community Detection in Networks.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Dynamic Interval Scheduling for Multiple Machines.
Proceedings of the Algorithms and Computation - 25th International Symposium, 2014

Community Detection Based on Graph Dynamical Systems with Asynchronous Runs.
Proceedings of the Second International Symposium on Computing and Networking, 2014

2013
Tree-Automatic Well-Founded Trees
Log. Methods Comput. Sci., 2013

The isomorphism problem for ω-automatic trees.
Ann. Pure Appl. Log., 2013

A Polychromatic Ramsey Theory for Ordinals.
Proceedings of the Mathematical Foundations of Computer Science 2013, 2013

Dynamising Interval Scheduling: The Monotonic Case.
Proceedings of the Combinatorial Algorithms - 24th International Workshop, 2013

2012
Finite Automata over Structures - (Extended Abstract).
Proceedings of the Theory and Applications of Models of Computation, 2012

On State Complexity of Finite Word and Tree Languages.
Proceedings of the Developments in Language Theory - 16th International Conference, 2012

Tree-Automatic Well-Founded Trees.
Proceedings of the How the World Computes, 2012

Solving infinite games on trees with back-edges.
Proceedings of the Eighteenth Computing: The Australasian Theory Symposium, 2012

2011
Deciding the isomorphism problem in classes of unary automatic structures.
Theor. Comput. Sci., 2011

Efficient Algorithms for Games Played on Trees with Back-edges.
Fundam. Informaticae, 2011

Extracting Winning Strategies in Update Games.
Proceedings of the Models of Computation in Context, 2011

2010
The Isomorphism Problem for omega-Automatic Trees
CoRR, 2010

The Isomorphism Problem on Classes of Automatic Structures.
Proceedings of the 25th Annual IEEE Symposium on Logic in Computer Science, 2010

The Isomorphism Problem for <i>omega</i>-Automatic Trees.
Proceedings of the Computer Science Logic, 24th International Workshop, 2010

2009
Unary automatic graphs: an algorithmic perspective.
Math. Struct. Comput. Sci., 2009

On complexity of Ehrenfeucht-Fraïssé games.
Ann. Pure Appl. Log., 2009

A Dynamic Algorithm for Reachability Games Played on Trees.
Proceedings of the Mathematical Foundations of Computer Science 2009, 2009

Analysing Complexity in Classes of Unary Automatic Structures.
Proceedings of the Language and Automata Theory and Applications, 2009

2008
Computable Categoricity of Graphs with Finite Components.
Proceedings of the Logic and Theory of Algorithms, 2008


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