Long Tran-Thanh

发表

Playing Repeated Security Games with No Prior Knowledge

Nicholas R. Jennings, Haifeng Xu, Long Tran-Thanh, 2016, AAMAS.

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

Long Tran-Thanh, Markus Brede, Guillermo Romero Moreno, 2020, ArXiv.

Budget-limited multi-armed bandits

Long Tran-Thanh, 2012 .

Inducible Equilibrium for Security Games

Bo An, Long Tran-Thanh, Milind Tambe, 2018, AAMAS.

An Efficient Vector-Based Representation for Coalitional Games

Nicholas R. Jennings, Talal Rahwan, Long Tran-Thanh, 2013, IJCAI.

DCOPs and bandits: exploration and exploitation in decentralised coordination

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2012, AAMAS.

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

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2012, Autonomous Agents and Multi-Agent Systems.

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

Long Tran-Thanh, Patrick Loiseau, Alonso Silva, 2019, AAAI.

Budget Limited Trust-Aware Decision Making

Long Tran-Thanh, Timothy J. Norman, Taha D. Günes, 2017, AAMAS Workshops.

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

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2010, Comput. J..

Energy Efficient Reliable Cooperative Multipath Routing in Wireless Sensor Networks

Long Tran-Thanh, János Levendovszky, Gergely Treplan, 2010 .

Efficient delay-constraint data collection in wireless sensor networks

Long Tran-Thanh, János Levendovszky, Long Tran-Thanh, 2011 .

On the Inducibility of Stackelberg Equilibrium for Security Games

Bo An, Long Tran-Thanh, Milind Tambe, 2018, AAAI.

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

Archie C. Chapman, Nicholas R. Jennings, Long Tran-Thanh, 2010, AAAI.

The Cost of Interference in Evolving Multiagent Systems

Nicholas R. Jennings, Long Tran-Thanh, Han The Anh, 2015, AAMAS.

Forecasting Multi-Appliance Usage for Smart Home Energy Management

Sarvapali D. Ramchurn, Long Tran-Thanh, Enrico Costanza, 2013, IJCAI.

Strategic Attacks on Trust Models via Bandit Optimization

Long Tran-Thanh, Timothy J. Norman, Taha D. Gunes, 2018, TRUST@AAMAS.

Adaptive Incentive Selection for Crowdsourcing Contests

Nicholas R. Jennings, Long Tran-Thanh, Sebastian Stein, 2018, AAMAS.

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

Nicholas R. Jennings, Long Tran-Thanh, Sebastian Stein, 2019, PRICAI.

Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2013, AAMAS.

Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach

Long Tran-Thanh, Hau Chan, Vignesh Viswanathan, 2020, IJCAI.

Deceiving Cyber Adversaries: A Game Theoretic Approach

Haifeng Xu, Long Tran-Thanh, Milind Tambe, 2018, AAMAS.

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

Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho, 2020, ArXiv.

Defending with Shared Resources on a Network

Minming Li, Long Tran-Thanh, Xiaowei Wu, 2020, AAAI.

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

Archie C. Chapman, Nicholas R. Jennings, Long Tran-Thanh, 2012, AAAI.

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

Long Tran-Thanh, Gabor Kiss, Gergely Treplan, 2010, Comput. Commun..

Hardware-level Bayesian inference

Long Tran-Thanh, Alexantrou Serb, Themis Prodromakis, 2017 .

Towards appliance usage prediction for home energy management

Sarvapali D. Ramchurn, Long Tran-Thanh, Enrico Costanza, 2013, e-Energy '13.

Crowdsourcing Complex Workflows under Budget Constraints

Sarvapali D. Ramchurn, Nicholas R. Jennings, Long Tran-Thanh, 2015, AAAI.

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

Nicholas R. Jennings, Long Tran-Thanh, Md. Mosaddek Khan, 2018, AAMAS.

Preference Elicitation with Interdependency and User Bother Cost

Long Tran-Thanh, Tran Cao Son, William Yeoh, 2018, AAMAS.

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

Long Tran-Thanh, Guillermo Romero Moreno, Markus Brede, 2020, AAMAS.

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

Archie C. Chapman, Nicholas R. Jennings, Long Tran-Thanh, 2011, SAGT.

Coalitional Security Games

Bo An, Long Tran-Thanh, Chunyan Miao, 2016, AAMAS.

Manipulating a Learning Defender and Ways to Counteract

Bo An, Michael Wooldridge, Long Tran-Thanh, 2019, NeurIPS.

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

Nicholas R. Jennings, Long Tran-Thanh, Yingce Xia, 2015, IJCAI.

Referral Incentives in Crowdfunding

Nicholas R. Jennings, Long Tran-Thanh, Sebastian Stein, 2014, HCOMP.

Bounding Regret in Empirical Games

Long Tran-Thanh, Arunesh Sinha, Steven Jecmen, 2020, AAAI.

Activity prediction for agent-based home energy management

Long Tran-Thanh, Enrico Costanza, Ngoc Cuong Truong, 2013 .

Imitative Follower Deception in Stackelberg Games

Michael Wooldridge, Haifeng Xu, Long Tran-Thanh, 2019, EC.

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

Sarvapali D. Ramchurn, Nicholas R. Jennings, Long Tran-Thanh, 2018, Comput. J..

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

Long Tran-Thanh, Sebastian Stein, Viet Nguyen, 2019, PRIMA.

Sequential Choice Bandits with Feedback for Personalizing users' experience pdf

Massimo Franceschetti, Long Tran-Thanh, Anshuka Rangi, 2021, ArXiv.

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

Long Tran-Thanh, Geoff V. Merrett, Lei Xun, 2019, 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD).

The cost of interference in evolving systems

Nicholas R. Jennings, Long Tran-Thanh, TheAnh Han, 2014 .

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

Long Tran-Thanh, Milind Tambe, Bryan Wilder, 2018, AIES.

Functional Bandits pdf

Long Tran-Thanh, Jia Yuan Yu, Long Tran-Thanh, 2014, ArXiv.

Multi–Armed Bandit Models for Efficient Long–Term Information Collection in Wireless Sensor Networks

Long Tran-Thanh, Long Tran-Thanh, 2010 .

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

Sarvapali D. Ramchurn, Nicholas R. Jennings, Long Tran-Thanh, 2014, AAMAS.

On the Efficiency of Data Collection for Crowdsourced Classification

Nicholas R. Jennings, Long Tran-Thanh, Edoardo Manino, 2018, IJCAI.

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

Nicholas R. Jennings, Long Tran-Thanh, Md. Mosaddek Khan, 2018, AAMAS.

Identifying vulnerabilities in trust and reputation systems

Long Tran-Thanh, Timothy J. Norman, Taha D. Günes, 2019, IJCAI.

Fuzzy c-Means Clustering for Persistence Diagrams pdf

Long Tran-Thanh, Bryan Wilder, Thomas O. M. Davies, 2020, ArXiv.

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

Nicholas R. Jennings, Bo An, Long Tran-Thanh, 2019, AAAI.

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

Long Tran-Thanh, Patrick Loiseau, Dong Quan Vu, 2019 .

Reliability-Based Routing Algorithms for Energy-Aware Communication in Wireless Sensor Networks

Long Tran-Thanh, János Levendovszky, Andras Olah, 2011 .

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

Long Tran-Thanh, Fei Fang, Rohit Singh, 2018, IJCAI.

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

Long Tran-Thanh, Viet Hung Nguyen, Sebastian Stein, 2019, ArXiv.

Efficient crowdsourcing of unknown experts using bounded multi-armed bandits

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2014, Artif. Intell..

On the efficiency of data collection for multiple Naïve Bayes classifiers

Nicholas R. Jennings, Long Tran-Thanh, Edoardo Manino, 2019, Artif. Intell..

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

Talal Rahwan, Long Tran-Thanh, Alex Rogers, 2013, ArXiv.

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

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2009, AAMAS.

Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies

Francisco C. Santos, Long Tran-Thanh, Han The Anh, 2018, IJCAI.

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

Long Tran-Thanh, Sebastian Stein, Tin Leelavimolsilp, 2018, ArXiv.

AED: An Anytime Evolutionary DCOP Algorithm pdf

Nicholas R. Jennings, Long Tran-Thanh, Md. Mosaddek Khan, 2019, AAMAS.

Incentive Engineering Framework for Crowdsourcing Systems pdf

Nicholas R. Jennings, Long Tran-Thanh, Sebastian Stein, 2016, ArXiv.

Optimal Time Dependent Data Collection Schemes in Wireless Sensor Networks

Long Tran-Thanh, János Levendovszky, 2010, 2010 IEEE Wireless Communication and Networking Conference.

Streaming Bayesian Inference for Crowdsourced Classification

Nicholas R. Jennings, Long Tran-Thanh, Edoardo Manino, 2019, NeurIPS.

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation

Long Tran-Thanh, Sanjay Chawla, Branislav Kveton, 2015, NIPS.

Optimising Resource Management for Embedded Machine Learning

Long Tran-Thanh, Geoff V. Merrett, Lei Xun, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Playing Repeated Network Interdiction Games with Semi-Bandit Feedback

Bo An, Long Tran-Thanh, Qingyu Guo, 2017, IJCAI.

Distributed Adaptive Sampling, Forwarding, and Routing Algorithms for Wireless Visual Sensor Networks

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2009, AAMAS 2009.

Social Cost Guarantees in Smart Route Guidance

Nicholas R. Jennings, Carmine Ventre, Bo An, 2019, PRICAI.

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

Sarvapali D. Ramchurn, Long Tran-Thanh, Geoff V. Merrett, 2021, Ad Hoc Networks.

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs pdf

Nicholas R. Jennings, Long Tran-Thanh, Md. Mosaddek Khan, 2020, IJCAI.

Optimal Learning from Verified Training Data

Long Tran-Thanh, Nick Bishop, Enrico Gerding, 2020, NeurIPS.

Adversarial Blocking Bandits

Long Tran-Thanh, Debmalya Mandal, Nick Bishop, 2020, NeurIPS.

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

Nicholas R. Jennings, Long Tran-Thanh, Edoardo Manino, 2016, ArXiv.

Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits

Nicholas R. Jennings, Long Tran-Thanh, Alex Rogers, 2012, ECAI.

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

Nicholas R. Jennings, Long Tran-Thanh, Valentin Robu, 2014, UAI.

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

Julian Togelius, Jichen Zhu, Scott Sanner, 2017, AI Mag..

Interactive Scheduling of Appliance Usage in the Home

Sarvapali D. Ramchurn, Long Tran-Thanh, Tim Baarslag, 2016, IJCAI.

Reliable and energy aware routing protocols for wireless sensor networks

Long Tran-Thanh, Andras Olah, Gergely Treplan, 2009, SoftCOM 2009 - 17th International Conference on Software, Telecommunications & Computer Networks.

Attack strategies and analysis for trust and reputation systems

Long Tran-Thanh, Timothy J. Norman, Taha Dogan Gunes, 2019 .

Unifying the stochastic and the adversarial Bandits with Knapsack

Massimo Franceschetti, Long Tran-Thanh, Anshuka Rangi, 2018, IJCAI.

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

Long Tran-Thanh, Guillermo Romero Moreno, Edoardo Manino, 2020, Complex Networks XI.

A Novel Reliability Based Routing Protocol for Power Aware Communications in Wireless Sensor Networks

Long Tran-Thanh, János Levendovszky, 2009, 2009 IEEE Wireless Communications and Networking Conference.

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

Long Tran-Thanh, Milind Tambe, Shahrzad Gholami, 2019, AAMAS.

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

Long Tran-Thanh, János Levendovszky, Sándor Molnár, 2010, 2010 IEEE International Conference on Communications.

Optimal Escape Interdiction on Transportation Networks

Nicholas R. Jennings, Bo An, Long Tran-Thanh, 2017, IJCAI.

Dataset for "Optimising Resource Management for Embedded Machine Learning"

Long Tran-Thanh, Geoff V. Merrett, Bashir M. Al-Hashimi, 2019 .

The Dollar Auction with Spiteful Players

Nicholas R. Jennings, Tomasz P. Michalak, Marcin Waniek, 2017, AAAI.

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

Massimo Franceschetti, Haifeng Xu, Long Tran-Thanh, 2021, ArXiv.

A machine learning approach for monitoring ship safety in extreme weather events

Long Tran-Thanh, Mario P. Brito, Zoheir Sabeur, 2021 .