Long Tran-Thanh

According to our database, Long Tran-Thanh authored at least 119 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Symmetric Linear Bandits with Hidden Symmetry.

Nam Phuong Tran, The-Anh Ta, Debmalya Mandal, Long Tran-Thanh

CoRR, 2024

Betting on what is neither verifiable nor falsifiable.

Abhimanyu Pallavi Sudhir, Long Tran-Thanh

CoRR, 2024

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games.

Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh

CoRR, 2024

A Simulation for Supply Chains Contract Execution.

Long Tran-Thanh, Tran Cao Son, Dylan Flynn, Marcello Balduccini

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2024

Identifying the Best Arm in the Presence of Global Environment Shifts.

Phurinut Srisawad, Juergen Branke, Long Tran-Thanh

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations.

Minh Nguyen, Nghi Bui, Truong Son Hy, Long Tran-Thanh, Tien Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Attacking Multi-Player Bandits and How to Robustify Them.

Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary.

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Online Markov decision processes with non-oblivious strategic adversary.

Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang

Auton. Agents Multi Agent Syst., June, 2023

Efficient and adaptive incentive selection for crowdsourcing contests.

Nhat Van-Quoc Truong, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings

Appl. Intell., April, 2023

Revisiting LARS for Large Batch Training Generalization of Neural Networks.

Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Quoc-Viet Pham

CoRR, 2023

Examining the Effects of Degree Distribution and Homophily in Graph Learning Models.

Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi

CoRR, 2023

Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study.

Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem

CoRR, 2023

Achieving Better Regret against Strategic Adversaries.

Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh

CoRR, 2023

Invariant Lipschitz Bandits: A Side Observation Approach.

Nam Phuong Tran, Long Tran-Thanh

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?

Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost.

Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh

Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

2022

Invariant Lipschitz Bandits: A Side Observation Approach.

Nam Phuong Tran, The-Anh Ta, Long Tran-Thanh

CoRR, 2022

Multi-Player Bandits Robust to Adversarial Collisions.

Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh

CoRR, 2022

Label driven Knowledge Distillation for Federated Learning with non-IID Data.

Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang, Long Tran-Thanh, Diep N. Nguyen, Won-Joo Hwang

CoRR, 2022

Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning.

Thai Le, Long Tran-Thanh, Dongwon Lee

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Expected Improvement for Contextual Bandits.

Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequential Vaccine Allocation with Delayed Feedback.

Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning.

Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Temporal Multiresolution Graph Neural Networks For Epidemic Prediction.

Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation.

Minh-Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification.

Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Sequential Blocked Matching.

Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning.

Thai Le, Long Tran-Thanh, Dongwon Lee

CoRR, 2021

Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms.

Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett

CoRR, 2021

Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification.

Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

CoRR, 2021

Sequential Choice Bandits with Feedback for Personalizing users' experience.

Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh

CoRR, 2021

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs.

Mashrur Rashik, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid, Long Tran-Thanh, Nicholas R. Jennings

Appl. Intell., 2021

Partner selection in self-organised wireless sensor networks for opportunistic energy negotiation: A multi-armed bandit based approach.

Andre P. Ortega, Sarvapali D. Ramchurn, Long Tran-Thanh, Geoff V. Merrett

Ad Hoc Networks, 2021

How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design.

Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games.

Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh

Proceedings of the Algorithmic Learning Theory, 2021

2020

Zealotry and Influence Maximization in the Voter Model: When to Target Zealots?

Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede

CoRR, 2020

Exploiting No-Regret Algorithms in System Design.

Le Cong Dinh, Nick Bishop, Long Tran-Thanh

CoRR, 2020

Fuzzy c-Means Clustering for Persistence Diagrams.

Thomas O. M. Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh

CoRR, 2020

Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information.

Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho

CoRR, 2020

Optimal Learning from Verified Training Data.

Nick Bishop, Long Tran-Thanh, Enrico H. Gerding

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Blocking Bandits.

Nick Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots.

Balint Gucsi, Danesh S. Tarapore, William Yeoh, Christopher Amato, Long Tran-Thanh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs.

Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach.

Hau Chan, Long Tran-Thanh, Vignesh Viswanathan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Optimising Resource Management for Embedded Machine Learning.

Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations.

Ronald Gualán, Víctor Saquicela, Long Tran-Thanh

Proceedings of the XLVI Latin American Computing Conference, 2020

Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy?

Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

AED: An Anytime Evolutionary DCOP Algorithm.

Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek.

Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Defending with Shared Resources on a Network.

Minming Li, Long Tran-Thanh, Xiaowei Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Bounding Regret in Empirical Games.

Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations.

Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh

CoRR, 2019

An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners.

Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein, Viet Hung Nguyen

CoRR, 2019

On the efficiency of data collection for multiple Naïve Bayes classifiers.

Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings

Artif. Intell., 2019

Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation.

Tin Leelavimolsilp, Viet Hung Nguyen, Sebastian Stein, Long Tran-Thanh

Proceedings of the PRIMA 2019: Principles and Practice of Multi-Agent Systems, 2019

What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests.

Nhat Van-Quoc Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Social Cost Guarantees in Smart Route Guidance.

Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Streaming Bayesian Inference for Crowdsourced Classification.

Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Manipulating a Learning Defender and Ways to Counteract.

Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Promoting Cooperation through External Interference.

The Anh Han, Long Tran-Thanh, Simon Lynch, Theodor Cimpeanu, Francisco C. Santos

Proceedings of the 2019 Conference on Artificial Life, 2019

Unifying the Stochastic and the Adversarial Bandits with Knapsack.

Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Identifying vulnerabilities in trust and reputation systems.

Taha D. Günes, Long Tran-Thanh, Timothy J. Norman

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Imitative Follower Deception in Stackelberg Games.

Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Shielding and Shadowing: A Tale of Two Strategies for Opinion Control in the Voting Dynamics.

Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede

Proceedings of the Complex Networks and Their Applications VIII, 2019

Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge.

Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information.

Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

On the Inducibility of Stackelberg Equilibrium for Security Games.

Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners.

Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein

CoRR, 2018

Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs.

Md. Mosaddek Khan, Long Tran-Thanh, Sarvapali D. Ramchurn, Nicholas R. Jennings

Comput. J., 2018

Designing the Game to Play: Optimizing Payoff Structure in Security Games.

Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On the Efficiency of Data Collection for Crowdsourced Classification.

Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies.

The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adaptive Incentive Selection for Crowdsourcing Contests.

Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deceiving Cyber Adversaries: A Game Theoretic Approach.

Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Preference Elicitation with Interdependency and User Bother Cost.

Tiep Le, Atena M. Tabakhi, Long Tran-Thanh, William Yeoh, Tran Cao Son

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems.

Md. Mosaddek Khan, Long Tran-Thanh, William Yeoh, Nicholas R. Jennings

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems.

Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Inducible Equilibrium for Security Games.

Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Strategic Attacks on Trust Models via Bandit Optimization.

Taha D. Gunes, Long Tran-Thanh, Timothy J. Norman

Proceedings of the 20th International Trust Workshop co-located with AAMAS/IJCAI/ECAI/ICML 2018, 2018

Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks.

Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.

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

AI Mag., 2017

Optimal Escape Interdiction on Transportation Networks.

Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Playing Repeated Network Interdiction Games with Semi-Bandit Feedback.

Qingyu Guo, Bo An, Long Tran-Thanh

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Budget Limited Trust-Aware Decision Making.

Taha D. Günes, Timothy J. Norman, Long Tran-Thanh

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

The Dollar Auction with Spiteful Players.

Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Incentive Engineering Framework for Crowdsourcing Systems.

Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings

CoRR, 2016

Efficiency of active learning for the allocation of workers on crowdsourced classification tasks.

Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings

CoRR, 2016

Interactive Scheduling of Appliance Usage in the Home.

Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, Long Tran-Thanh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Playing Repeated Security Games with No Prior Knowledge.

Haifeng Xu, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Repeated Dollar Auctions: A Multi-Armed Bandit Approach.

Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Coalitional Security Games.

Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, Chunyan Miao

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.

Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem.

Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

The Cost of Interference in Evolving Multiagent Systems.

The Anh Han, Long Tran-Thanh, Nicholas R. Jennings

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Crowdsourcing Complex Workflows under Budget Constraints.

Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Functional Bandits.

Long Tran-Thanh, Jia Yuan Yu

CoRR, 2014

Efficient crowdsourcing of unknown experts using bounded multi-armed bandits.

Long Tran-Thanh, Sebastian Stein, Alex Rogers, Nicholas R. Jennings

Artif. Intell., 2014

Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions.

Long Tran-Thanh, Lampros C. Stavrogiannis, Victor Naroditskiy, Valentin Robu, Nicholas R. Jennings, Peter B. Key

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Referral Incentives in Crowdfunding.

Victor Naroditskiy, Sebastian Stein, Mirco Tonin, Long Tran-Thanh, Michael Vlassopoulos, Nicholas R. Jennings

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

BudgetFix: budget limited crowdsourcing for interdependent task allocation with quality guarantees.

Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Bounding the Estimation Error of Sampling-based Shapley Value Approximation With/Without Stratifying.

Sasan Maleki, Long Tran-Thanh, Greg Hines, Talal Rahwan, Alex Rogers

CoRR, 2013

Forecasting Multi-Appliance Usage for Smart Home Energy Management.

Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

Proceedings of the IJCAI 2013, 2013

An Efficient Vector-Based Representation for Coalitional Games.

Long Tran-Thanh, Tri-Dung Nguyen, Talal Rahwan, Alex Rogers, Nicholas R. Jennings

Proceedings of the IJCAI 2013, 2013

Towards appliance usage prediction for home energy management.

Ngoc Cuong Truong, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

Proceedings of the Fourth International Conference on Future Energy Systems, 2013

Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks.

Long Tran-Thanh, Matteo Venanzi, Alex Rogers, Nicholas R. Jennings

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

Budget-limited multi-armed bandits.

Long Tran-Thanh

PhD thesis, 2012

Long-term information collection with energy harvesting wireless sensors: a multi-armed bandit based approach.

Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings

Auton. Agents Multi Agent Syst., 2012

Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits.

Long Tran-Thanh, Sebastian Stein, Alex Rogers, Nicholas R. Jennings

Proceedings of the ECAI 2012, 2012

DCOPs and bandits: exploration and exploitation in decentralised coordination.

Ruben Stranders, Long Tran-Thanh, Francesco Maria Delle Fave, Alex Rogers, Nicholas R. Jennings

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits.

Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

On the Existence of Pure Strategy Nash Equilibria in Integer-Splittable Weighted Congestion Games.

Long Tran-Thanh, Maria Polukarov, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings

Proceedings of the Algorithmic Game Theory, 4th International Symposium, 2011

2010

Fading-aware reliable and energy efficient routing in wireless sensor networks.

János Levendovszky, Long Tran-Thanh, Gergely Treplán, Gábor Kiss

Comput. Commun., 2010

An Agent-Based Distributed Coordination Mechanism for Wireless Visual Sensor Nodes Using Dynamic Programming.

Johnsen Kho, Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings

Comput. J., 2010

Optimal Time Dependent Data Collection Schemes in Wireless Sensor Networks.

Long Tran-Thanh, János Levendovszky

Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010

Delay Characteristics and Server Update Optimization of Multiplayer Gaming in Mobile Environment.

Gábor Kiss, János Levendovszky, Sándor Molnár, Long Tran-Thanh

Proceedings of IEEE International Conference on Communications, 2010

Epsilon-First Policies for Budget-Limited Multi-Armed Bandits.

Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

A novel reliability based routing protocol for power aware communications in wireless sensor networks.

Long Tran-Thanh, János Levendovszky

Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Decentralised control of adaptive sampling and routing in wireless visual sensor networks.

Johnsen Kho, Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings

Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009