Long Tran-Thanh

University of Warwick — United Kingdom

Computer Science · Physical Sciences

10h-index380citations51works0.32yr avg
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Research Topics

Network Security and Intrusion Detection(7), Infrastructure Resilience and Vulnerability Analysis(6), Auction Theory and Applications(5), Complex Network Analysis Techniques(4), Smart Grid Energy Management(4)

Publications51 total

The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
arXiv (Cornell University)·2025Open Access
Provably Improving Generalization of Few-Shot Models with Synthetic Data
arXiv (Cornell University)·2025Open Access
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Faster, Larger, Stronger: Optimally Solving Employee Scheduling Problems with Graph Neural Networks
Communications in computer and information science·2025
Revisiting LARS for Large Batch Training Generalization of Neural Networks
IEEE Transactions on Artificial Intelligence·2024· 2 citedOpen Access
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
arXiv (Cornell University)·2024Open Access
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
2024
Digital Twins for Marine Operations: From Surface to Deep Water
UK-RAS white papers·2023· 4 citedOpen Access
Revisiting LARS for Large Batch Training Generalization of Neural Networks
arXiv (Cornell University)·2023Open Access
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
arXiv (Cornell University)·2023Open Access
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 55 cited
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
arXiv (Cornell University)·2022· 3 citedOpen Access
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
Proceedings of the ACM Web Conference 2022·2022· 10 cited
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning.
arXiv (Cornell University)·2021Open Access
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
arXiv (Cornell University)·2021Open Access
A machine learning approach for monitoring ship safety in extreme weather events
Safety Science·2021· 87 cited
Optimising Resource Management for Embedded Machine Learning
arXiv (Cornell University)·2021Open Access
Partner selection in self-organised wireless sensor networks for opportunistic energy negotiation: A multi-armed bandit based approach
Ad Hoc Networks·2020· 8 cited
Source code of binary_sims.exe and related datasets
ePrints Soton (University of Southampton)·2020Open Access
Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy?
2020· 3 cited
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Frequent Co-authors

Nicholas R. Jennings(11), Edoardo Manino(7), Qingyu Guo(5), Bo An(5), Jiarui Gan(5), Fei Fang(4), Sarvapali D. Ramchurn(3), Sebastian Stein(3), Geoff V. Merrett(3), Dongwon Lee(3), Guillermo Romero Moreno(3), Markus Brede(3), The-Anh Ta(2), Truong Ngoc Cuong(2), Victor Naroditskiy(2), Mirco Tonin(2), Michael Vlassopoulos(2), Xun Lei(2), Bashir M. Al‐Hashimi(2), Thai Le(2)