Long Tran-Thanh

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 104

Top Venues

CoRR

AAMAS

IJCAI

AAAI

University of Southampton, UK (PHD)

Education History

University of Southampton, UK

PHD

Publications

Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. CoRR (2024)
Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Quoc-Viet Pham
Revisiting LARS for Large Batch Training Generalization of Neural Networks. CoRR (2023)
Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh
Achieving Better Regret against Strategic Adversaries. CoRR (2023)
Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models. CoRR (2023)
Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? NeurIPS (2023)
Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. CoRR (2023)
Nhat Van-Quoc Truong, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
Efficient and adaptive incentive selection for crowdsourcing contests. Appl. Intell. 53 (8) (2023)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Nam Phuong Tran, Long Tran-Thanh
Invariant Lipschitz Bandits: A Side Observation Approach. ECML/PKDD (4) (2023)
Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
Multi-Player Bandits Robust to Adversarial Collisions. CoRR (2022)
Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh
Expected Improvement for Contextual Bandits. NeurIPS (2022)
Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop (2022)
Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
Sequential Blocked Matching. AAAI (2022)
Minh-Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation. CVPR (2022)
Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. CoRR (2022)
Nam Phuong Tran, The-Anh Ta, Long Tran-Thanh
Invariant Lipschitz Bandits: A Side Observation Approach. CoRR (2022)
Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR (2022)
Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh
Sequential Vaccine Allocation with Delayed Feedback. IJCAI (2022)
Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. IJCAI (2022)
Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. AAAI (2022)
Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang, Long Tran-Thanh, Diep N. Nguyen, Won-Joo Hwang
Label driven Knowledge Distillation for Federated Learning with non-IID Data. CoRR (2022)
Thai Le, Long Tran-Thanh, Dongwon Lee
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW (2022)
Andre P. Ortega, Sarvapali D. Ramchurn, Long Tran-Thanh, Geoff V. Merrett
Partner selection in self-organised wireless sensor networks for opportunistic energy negotiation: A multi-armed bandit based approach. Ad Hoc Networks 112 (2021)
Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. AAMAS (2021)
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Sequential Choice Bandits with Feedback for Personalizing users' experience. CoRR (2021)
Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett
Optimising Resource Management for Embedded Machine Learning. CoRR (2021)
Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
Sequential Blocked Matching. CoRR (2021)
Mashrur Rashik, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid, Long Tran-Thanh, Nicholas R. Jennings
Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs. Appl. Intell. 51 (3) (2021)
Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. CoRR (2021)
Thai Le, Long Tran-Thanh, Dongwon Lee
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR (2021)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR (2021)
Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett
Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms. CoRR (2021)
Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. CoRR (2021)
Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh
Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. ALT (2021)
Le Cong Dinh, Nick Bishop, Long Tran-Thanh
Exploiting No-Regret Algorithms in System Design. CoRR (2020)
Thomas O. M. Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh
Fuzzy c-Means Clustering for Persistence Diagrams. CoRR (2020)
Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede
Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? CoRR (2020)
Minming Li, Long Tran-Thanh, Xiaowei Wu
Defending with Shared Resources on a Network. AAAI (2020)
Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
AED: An Anytime Evolutionary DCOP Algorithm. AAMAS (2020)
Ronald Gualán, Víctor Saquicela, Long Tran-Thanh
Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations. CLEI (2020)
Nick Bishop, Long Tran-Thanh, Enrico Gerding
Optimal Learning from Verified Training Data. NeurIPS (2020)
Hau Chan, Long Tran-Thanh, Vignesh Viswanathan
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. IJCAI (2020)
Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh
Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. AAAI (2020)
Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information. CoRR (2020)
Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede
Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy? AAMAS (2020)
Nick Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
Adversarial Blocking Bandits. NeurIPS (2020)
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. CoRR (2020)
Balint Gucsi, Danesh S. Tarapore, William Yeoh, Christopher Amato, Long Tran-Thanh
To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots. IROS (2020)
Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett
Optimising Resource Management for Embedded Machine Learning. DATE (2020)
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. IJCAI (2020)
Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
Bounding Regret in Empirical Games. AAAI (2020)
Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein, Viet Hung Nguyen
An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners. CoRR (2019)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Streaming Bayesian Inference for Crowdsourced Classification. NeurIPS (2019)
Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
Social Cost Guarantees in Smart Route Guidance. PRICAI (2) (2019)
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Unifying the Stochastic and the Adversarial Bandits with Knapsack. IJCAI (2019)
Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh
Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations. CoRR (2019)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
On the efficiency of data collection for multiple Naïve Bayes classifiers. Artif. Intell. 275 (2019)
Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
AED: An Anytime Evolutionary DCOP Algorithm. CoRR (2019)
Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge
Imitative Follower Deception in Stackelberg Games. EC (2019)
Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge
Manipulating a Learning Defender and Ways to Counteract. NeurIPS (2019)
The Anh Han, Long Tran-Thanh, Simon Lynch, Theodor Cimpeanu, Francisco C. Santos
Promoting Cooperation through External Interference. ALIFE (2019)
Nhat Van-Quoc Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests. PRICAI (1) (2019)
Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge
Manipulating a Learning Defender and Ways to Counteract. CoRR (2019)
Minming Li, Long Tran-Thanh, Xiaowei Wu
Defending with Shared Resources on a Network. CoRR (2019)
Tin Leelavimolsilp, Viet Hung Nguyen, Sebastian Stein, Long Tran-Thanh
Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation. PRIMA (2019)
Taha D. Günes, Long Tran-Thanh, Timothy J. Norman
Identifying vulnerabilities in trust and reputation systems. IJCAI (2019)
Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
Social Cost Guarantees in Smart Route Guidance. CoRR (2019)
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI (2019)
Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. AAAI (2019)
Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede
Shielding and Shadowing: A Tale of Two Strategies for Opinion Control in the Voting Dynamics. COMPLEX NETWORKS (1) (2019)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Streaming Bayesian Inference for Crowdsourced Classification. CoRR (2019)
Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge
Imitative Follower Deception in Stackelberg Games. CoRR (2019)
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS (2019)
Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems. AAMAS (2018)
Md. Mosaddek Khan, Long Tran-Thanh, Sarvapali D. Ramchurn, Nicholas R. Jennings
Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs. Comput. J. 61 (11) (2018)
Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein
On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners. CoRR (2018)
Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
Adaptive Incentive Selection for Crowdsourcing Contests. AAMAS (2018)
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
Inducible Equilibrium for Security Games. AAMAS (2018)
The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. IJCAI (2018)
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
Designing the Game to Play: Optimizing Payoff Structure in Security Games. IJCAI (2018)
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
Designing the Game to Play: Optimizing Payoff Structure in Security Games. CoRR (2018)
Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES (2018)
Md. Mosaddek Khan, Long Tran-Thanh, William Yeoh, Nicholas R. Jennings
A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems. AAMAS (2018)
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR (2018)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
On the Efficiency of Data Collection for Crowdsourced Classification. IJCAI (2018)
Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS (2018)
Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
Unifying the stochastic and the adversarial Bandits with Knapsack. CoRR (2018)
Tiep Le, Atena M. Tabakhi, Long Tran-Thanh, William Yeoh, Tran Cao Son
Preference Elicitation with Interdependency and User Bother Cost. AAMAS (2018)
Taha D. Gunes, Long Tran-Thanh, Timothy J. Norman
Strategic Attacks on Trust Models via Bandit Optimization. TRUST@AAMAS (2018)
Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings
The Dollar Auction with Spiteful Players. AAAI (2017)
Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings
Optimal Escape Interdiction on Transportation Networks. IJCAI (2017)
Qingyu Guo, Bo An, Long Tran-Thanh
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. IJCAI (2017)
Taha D. Günes, Timothy J. Norman, Long Tran-Thanh
Budget Limited Trust-Aware Decision Making. AAMAS Workshops (Visionary Papers) (2017)
Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38 (3) (2017)
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Efficiency of active learning for the allocation of workers on crowdsourced classification tasks. CoRR (2016)
Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, Chunyan Miao
Coalitional Security Games. AAMAS (2016)
Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak
Repeated Dollar Auctions: A Multi-Armed Bandit Approach. AAMAS (2016)
Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
Incentive Engineering Framework for Crowdsourcing Systems. CoRR (2016)
Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, Long Tran-Thanh
Interactive Scheduling of Appliance Usage in the Home. IJCAI (2016)
Haifeng Xu, Long Tran-Thanh, Nicholas R. Jennings
Playing Repeated Security Games with No Prior Knowledge. AAMAS (2016)

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Publication Activity (10 Years)

Top Topics

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Long Tran-Thanh