Yang Chen

Orcid: 0000-0002-1148-3920

Affiliations:
  • University of Auckland, School of Computer Science, NAOInstitute, Strong AI Lab, Auckland, New Zealand


According to our database1, Yang Chen authored at least 32 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Psychology-Driven Enhancement of Humour Translation.
CoRR, July, 2025

Situational-Constrained Sequential Resources Allocation via Reinforcement Learning.
CoRR, June, 2025

Web-FTP: A Feature Transferring-Based Pre-Trained Model for Web Attack Detection.
IEEE Trans. Knowl. Data Eng., March, 2025

2024
A graph transformer defence against graph perturbation by a flexible-pass filter.
Inf. Fusion, 2024

Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning.
Proceedings of the Neural Information Processing - 31st International Conference, 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

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Robust Node Classification on Graph Data with Graph and Label Noise.
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
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.
CoRR, 2023

Meerkat Behaviour Recognition Dataset.
CoRR, 2023

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

Chain of Propagation Prompting for Node Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Neuromodulation Gated Transformer.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Learning Density-Based Correlated Equilibria for Markov Games.
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

Efficient size-prescribed k-core search.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 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
Interconnected Neural Linear Contextual Bandits with UCB Exploration.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prompt-based Conservation Learning for Multi-hop Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

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

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

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

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

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

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


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