Revisiting LARS for Large Batch Training Generalization of Neural Networks. - Do, Hoang Khoi; Nguyen, Minh-Duong; Hoa, Nguyen Tien; Tran-Thanh, Long; Tran, Nguyen Hoang; Pham, Quoc-Viet (IEEE Trans. Artif. Intell., 2025)

Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback. - Liu, Xiang; Chan, Hau; Li, Minming; Wu, Weiwei; Tran-Thanh, Long (2025)

HRI-SENSE: A Multimodal Dataset on Social and Emotional Responses to Robot Behaviour. - Gucsi, Balint; Tuyen, Nguyen Tan Viet; Chu, Bing; Tarapore, Danesh S.; Tran-Thanh, Long (2025)

DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle. - Xiang, Lichuan; Nguyen-Tri, Quan; Nguyen, Lan-Cuong; Pham, Hoang; Than, Khoat; Tran-Thanh, Long; Wen, Hongkai (2025)

Market-based Architectures in RL and Beyond. - Sudhir, Abhimanyu Pallavi; Tran-Thanh, Long (2025)

Market-based Architectures in RL and Beyond. - Sudhir, Abhimanyu Pallavi; Tran-Thanh, Long (CoRR, 2025)

Provably Improving Generalization of Few-Shot Models with Synthetic Data. - Nguyen, Lan-Cuong; Nguyen-Tri, Quan; Khanh, Bang Tran; Le, Dung D.; Tran-Thanh, Long; Than, Khoat (CoRR, 2025)

Attacking Multi-Player Bandits and How to Robustify Them. - Mahesh, Shivakumar; Rangi, Anshuka; Xu, Haifeng; Tran-Thanh, Long (2024)

A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. - Dinh, Le Cong; Mguni, David Henry; Tran-Thanh, Long; Wang, Jun; Yang, Yaodong (2024)

HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations. - Nguyen, Minh; Bui, Nghi; Hy, Truong Son; Tran-Thanh, Long; Nguyen, Tien (2024)

Identifying the Best Arm in the Presence of Global Environment Shifts. - Srisawad, Phurinut; Branke, Juergen; Tran-Thanh, Long (2024)

A Simulation for Supply Chains Contract Execution. - Tran-Thanh, Long; Son, Tran Cao; Flynn, Dylan; Balduccini, Marcello (2024)

Symmetric Linear Bandits with Hidden Symmetry. - Tran, Nam Phuong; Ta, The-Anh; Mandal, Debmalya; Tran-Thanh, Long (2024)

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. - Tran, Nam Phuong; Ta, The-Anh; Shi, Shuqing; Mandal, Debmalya; Du, Yali; Tran-Thanh, Long (2024)

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. - Tran, Nam Phuong; Ta, The-Anh; Shi, Shuqing; Mandal, Debmalya; Du, Yali; Tran-Thanh, Long (CoRR, 2024)

Betting on what is neither verifiable nor falsifiable. - Sudhir, Abhimanyu Pallavi; Tran-Thanh, Long (CoRR, 2024)

Symmetric Linear Bandits with Hidden Symmetry. - Tran, Nam Phuong; Ta, The-Anh; Mandal, Debmalya; Tran-Thanh, Long (CoRR, 2024)

Identifying the Best Arm in the Presence of Global Environment Shifts. - Srisawad, Phurinut; Branke, Juergen; Tran-Thanh, Long (CoRR, 2024)

Online Markov decision processes with non-oblivious strategic adversary. - Dinh, Le Cong; Mguni, David Henry; Tran-Thanh, Long; Wang, Jun; Yang, Yaodong (Auton. Agents Multi Agent Syst., 2023)

Efficient and adaptive incentive selection for crowdsourcing contests. - Truong, Nhat Van-Quoc; Dinh, Le Cong; Stein, Sebastian; Tran-Thanh, Long; Jennings, Nicholas R. (Appl. Intell., 2023)

Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. - Mahesh, Shivakumar; Bishop, Nicholas; Dinh, Le Cong; Tran-Thanh, Long (2023)

Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? - Pham, Hoang; Ta, The-Anh; Liu, Shiwei; Xiang, Lichuan; Le, Dung; Wen, Hongkai; Tran-Thanh, Long (2023)

Invariant Lipschitz Bandits: A Side Observation Approach. - Tran, Nam Phuong; Tran-Thanh, Long (2023)

Achieving Better Regret against Strategic Adversaries. - Dinh, Le Cong; Nguyen, Tri-Dung; Zemkoho, Alain B.; Tran-Thanh, Long (CoRR, 2023)

Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. - Nguyen, Viet Bach; Son-Hy, Truong; Tran-Thanh, Long; Nghiem, Nhung (CoRR, 2023)

Examining the Effects of Degree Distribution and Homophily in Graph Learning Models. - Yasir, Mustafa; Palowitch, John; Tsitsulin, Anton; Tran-Thanh, Long; Perozzi, Bryan (CoRR, 2023)

Revisiting LARS for Large Batch Training Generalization of Neural Networks. - Do, Hoang Khoi; Nguyen, Duong; Nguyen, Hoa; Tran-Thanh, Long; Pham, Quoc-Viet (CoRR, 2023)

Sequential Blocked Matching. - Bishop, Nicholas; Chan, Hau; Mandal, Debmalya; Tran-Thanh, Long (2022)

Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. - Rangi, Anshuka; Tran-Thanh, Long; Xu, Haifeng; Franceschetti, Massimo (2022)

Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation. - Phan, Minh-Hieu; Ta, The-Anh; Phung, Son Lam; Tran-Thanh, Long; Bouzerdoum, Abdesselam (2022)

Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. - Hy, Truong Son; Nguyen, Viet Bach; Tran-Thanh, Long; Kondor, Risi (2022)

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. - Rangi, Anshuka; Xu, Haifeng; Tran-Thanh, Long; Franceschetti, Massimo (2022)

Sequential Vaccine Allocation with Delayed Feedback. - Xiao, Yichen; Ou, Han-Ching; Chen, Haipeng; Nguyen, Van Thieu; Tran-Thanh, Long (2022)

Expected Improvement for Contextual Bandits. - Tran-The, Hung; Gupta, Sunil; Rana, Santu; Truong, Tuan; Tran-Thanh, Long; Venkatesh, Svetha (2022)

Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. - Le, Thai; Tran-Thanh, Long; Lee, Dongwon (2022)

Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. - Son-Hy, Truong; Nguyen, Viet Bach; Tran-Thanh, Long; Kondor, Risi (CoRR, 2022)

Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. - Rangi, Anshuka; Xu, Haifeng; Tran-Thanh, Long; Franceschetti, Massimo (CoRR, 2022)

Label driven Knowledge Distillation for Federated Learning with non-IID Data. - Nguyen, Minh-Duong; Pham, Quoc-Viet; Hoang, Dinh Thai; Tran-Thanh, Long; Nguyen, Diep N.; Hwang, Won-Joo (CoRR, 2022)

Multi-Player Bandits Robust to Adversarial Collisions. - Mahesh, Shivakumar; Rangi, Anshuka; Xu, Haifeng; Tran-Thanh, Long (CoRR, 2022)

Invariant Lipschitz Bandits: A Side Observation Approach. - Tran, Nam Phuong; Ta, The-Anh; Tran-Thanh, Long (CoRR, 2022)

Partner selection in self-organised wireless sensor networks for opportunistic energy negotiation: A multi-armed bandit based approach. - Ortega, Andre P.; Ramchurn, Sarvapali D.; Tran-Thanh, Long; Merrett, Geoff V. (Ad Hoc Networks, 2021)

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs. - Rashik, Mashrur; Rahman, Md. Musfiqur; Khan, Md. Mosaddek; Mamun-Or-Rashid, Md.; Tran-Thanh, Long; Jennings, Nicholas R. (Appl. Intell., 2021)

Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. - Dinh, Le Cong; Nguyen, Tri-Dung; Zemkoho, Alain B.; Tran-Thanh, Long (2021)

How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. - Bishop, Nicholas; Dinh, Le Cong; Tran-Thanh, Long (2021)

Sequential Choice Bandits with Feedback for Personalizing users' experience. - Rangi, Anshuka; Franceschetti, Massimo; Tran-Thanh, Long (CoRR, 2021)

Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. - Rangi, Anshuka; Tran-Thanh, Long; Xu, Haifeng; Franceschetti, Massimo (CoRR, 2021)

Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms. - Xun, Lei; Tran-Thanh, Long; Al-Hashimi, Bashir M.; Merrett, Geoff V. (CoRR, 2021)

Optimising Resource Management for Embedded Machine Learning. - Xun, Lei; Tran-Thanh, Long; Al-Hashimi, Bashir M.; Merrett, Geoff V. (CoRR, 2021)

Sequential Blocked Matching. - Bishop, Nicholas; Chan, Hau; Mandal, Debmalya; Tran-Thanh, Long (CoRR, 2021)

Online Markov Decision Processes with Non-oblivious Strategic Adversary. - Dinh, Le Cong; Mguni, David Henry; Tran-Thanh, Long; Wang, Jun; Yang, Yaodong (CoRR, 2021)

Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. - Le, Thai; Tran-Thanh, Long; Lee, Dongwon (CoRR, 2021)

Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. - Mahesh, Shivakumar; Bishop, Nicholas; Dinh, Le Cong; Tran-Thanh, Long (CoRR, 2021)

Defending with Shared Resources on a Network. - Li, Minming; Tran-Thanh, Long; Wu, Xiaowei (2020)

Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. - Vu, Dong Quan; Loiseau, Patrick; Silva, Alonso; Tran-Thanh, Long (2020)

Bounding Regret in Empirical Games. - Jecmen, Steven; Sinha, Arunesh; Li, Zun; Tran-Thanh, Long (2020)

AED: An Anytime Evolutionary DCOP Algorithm. - Mahmud, Saaduddin; Choudhury, Moumita; Khan, Md. Mosaddek; Tran-Thanh, Long; Jennings, Nicholas R. (2020)

Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy? - Moreno, Guillermo Romero; Tran-Thanh, Long; Brede, Markus (2020)

Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations. - Gualán, Ronald; Saquicela, Víctor; Tran-Thanh, Long (2020)

Optimising Resource Management for Embedded Machine Learning. - Xun, Lei; Tran-Thanh, Long; Al-Hashimi, Bashir M.; Merrett, Geoff V. (2020)

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. - Mahmud, Saaduddin; Khan, Md. Mosaddek; Choudhury, Moumita; Tran-Thanh, Long; Jennings, Nicholas R. (2020)

Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. - Chan, Hau; Tran-Thanh, Long; Viswanathan, Vignesh (2020)

To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots. - Gucsi, Balint; Tarapore, Danesh S.; Yeoh, William; Amato, Christopher; Tran-Thanh, Long (2020)

Adversarial Blocking Bandits. - Bishop, Nick; Chan, Hau; Mandal, Debmalya; Tran-Thanh, Long (2020)

Optimal Learning from Verified Training Data. - Bishop, Nick; Tran-Thanh, Long; Gerding, Enrico H. (2020)

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. - Mahmud, Saaduddin; Khan, Md. Mosaddek; Choudhury, Moumita; Tran-Thanh, Long; Jennings, Nicholas R. (CoRR, 2020)

Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information. - Dinh, Le Cong; Tran-Thanh, Long; Nguyen, Tri-Dung; Zemkoho, Alain B. (CoRR, 2020)

Fuzzy c-Means Clustering for Persistence Diagrams. - Davies, Thomas O. M.; Aspinall, Jack; Wilder, Bryan; Tran-Thanh, Long (CoRR, 2020)

Exploiting No-Regret Algorithms in System Design. - Dinh, Le Cong; Bishop, Nick; Tran-Thanh, Long (CoRR, 2020)

Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? - Moreno, Guillermo Romero; Manino, Edoardo; Tran-Thanh, Long; Brede, Markus (CoRR, 2020)

On the efficiency of data collection for multiple Naïve Bayes classifiers. - Manino, Edoardo; Tran-Thanh, Long; Jennings, Nicholas R. (Artif. Intell., 2019)

Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. - Zhang, Youzhi; Guo, Qingyu; An, Bo; Tran-Thanh, Long; Jennings, Nicholas R. (2019)

On the Inducibility of Stackelberg Equilibrium for Security Games. - Guo, Qingyu; Gan, Jiarui; Fang, Fei; Tran-Thanh, Long; Tambe, Milind; An, Bo (2019)

Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. - Gholami, Shahrzad; Yadav, Amulya; Tran-Thanh, Long; Dilkina, Bistra; Tambe, Milind (2019)

Shielding and Shadowing: A Tale of Two Strategies for Opinion Control in the Voting Dynamics. - Moreno, Guillermo Romero; Tran-Thanh, Long; Brede, Markus (2019)

Imitative Follower Deception in Stackelberg Games. - Gan, Jiarui; Xu, Haifeng; Guo, Qingyu; Tran-Thanh, Long; Rabinovich, Zinovi; Wooldridge, Michael J. (2019)

Identifying vulnerabilities in trust and reputation systems. - Günes, Taha D.; Tran-Thanh, Long; Norman, Timothy J. (2019)

Unifying the Stochastic and the Adversarial Bandits with Knapsack. - Rangi, Anshuka; Franceschetti, Massimo; Tran-Thanh, Long (2019)

Promoting Cooperation through External Interference. - Han, The Anh; Tran-Thanh, Long; Lynch, Simon; Cimpeanu, Theodor; Santos, Francisco C. (2019)

Manipulating a Learning Defender and Ways to Counteract. - Gan, Jiarui; Guo, Qingyu; Tran-Thanh, Long; An, Bo; Wooldridge, Michael J. (2019)

Streaming Bayesian Inference for Crowdsourced Classification. - Manino, Edoardo; Tran-Thanh, Long; Jennings, Nicholas R. (2019)

What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests. - Truong, Nhat Van-Quoc; Stein, Sebastian; Tran-Thanh, Long; Jennings, Nicholas R. (2019)

Social Cost Guarantees in Smart Route Guidance. - Serafino, Paolo; Ventre, Carmine; Tran-Thanh, Long; Zhang, Jie; An, Bo; Jennings, Nick R. (2019)

Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation. - Leelavimolsilp, Tin; Nguyen, Viet Hung; Stein, Sebastian; Tran-Thanh, Long (2019)

Imitative Follower Deception in Stackelberg Games. - Gan, Jiarui; Xu, Haifeng; Guo, Qingyu; Tran-Thanh, Long; Rabinovich, Zinovi; Wooldridge, Michael J. (CoRR, 2019)

An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners. - Leelavimolsilp, Tin; Tran-Thanh, Long; Stein, Sebastian; Nguyen, Viet Hung (CoRR, 2019)

Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations. - Vu, Dong Quan; Loiseau, Patrick; Silva, Alonso; Tran-Thanh, Long (CoRR, 2019)

Manipulating a Learning Defender and Ways to Counteract. - Gan, Jiarui; Guo, Qingyu; Tran-Thanh, Long; An, Bo; Wooldridge, Michael J. (CoRR, 2019)

Social Cost Guarantees in Smart Route Guidance. - Serafino, Paolo; Ventre, Carmine; Tran-Thanh, Long; Zhang, Jie; An, Bo; Jennings, Nick R. (CoRR, 2019)

AED: An Anytime Evolutionary DCOP Algorithm. - Mahmud, Saaduddin; Choudhury, Moumita; Khan, Md. Mosaddek; Tran-Thanh, Long; Jennings, Nicholas R. (CoRR, 2019)

Streaming Bayesian Inference for Crowdsourced Classification. - Manino, Edoardo; Tran-Thanh, Long; Jennings, Nicholas R. (CoRR, 2019)

Defending with Shared Resources on a Network. - Li, Minming; Tran-Thanh, Long; Wu, Xiaowei (CoRR, 2019)

Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs. - Khan, Md. Mosaddek; Tran-Thanh, Long; Ramchurn, Sarvapali D.; Jennings, Nicholas R. (Comput. J., 2018)

Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. - Chan, Hau; Tran-Thanh, Long; Wilder, Bryan; Rice, Eric; Vayanos, Phebe; Tambe, Milind (2018)

Strategic Attacks on Trust Models via Bandit Optimization. - Gunes, Taha D.; Tran-Thanh, Long; Norman, Timothy J. (2018)

Deceiving Cyber Adversaries: A Game Theoretic Approach. - Schlenker, Aaron; Thakoor, Omkar; Xu, Haifeng; Fang, Fei; Tambe, Milind; Tran-Thanh, Long; Vayanos, Phebe; Vorobeychik, Yevgeniy (2018)

Preference Elicitation with Interdependency and User Bother Cost. - Le, Tiep; Tabakhi, Atena M.; Tran-Thanh, Long; Yeoh, William; Son, Tran Cao (2018)

A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems. - Khan, Md. Mosaddek; Tran-Thanh, Long; Jennings, Nicholas R. (2018)

A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems. - Khan, Md. Mosaddek; Tran-Thanh, Long; Yeoh, William; Jennings, Nicholas R. (2018)

Inducible Equilibrium for Security Games. - Guo, Qingyu; Gan, Jiarui; Fang, Fei; Tran-Thanh, Long; Tambe, Milind; An, Bo (2018)

Adaptive Incentive Selection for Crowdsourcing Contests. - Truong, Nhat V. Q.; Stein, Sebastian; Tran-Thanh, Long; Jennings, Nicholas R. (2018)

Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. - Han, The Anh; Lynch, Simon; Tran-Thanh, Long; Santos, Francisco C. (2018)

Designing the Game to Play: Optimizing Payoff Structure in Security Games. - Shi, Zheyuan Ryan; Tang, Ziye; Tran-Thanh, Long; Singh, Rohit; Fang, Fei (2018)

On the Efficiency of Data Collection for Crowdsourced Classification. - Manino, Edoardo; Tran-Thanh, Long; Jennings, Nicholas R. (2018)

On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners. - Leelavimolsilp, Tin; Tran-Thanh, Long; Stein, Sebastian (CoRR, 2018)

Designing the Game to Play: Optimizing Payoff Structure in Security Games. - Shi, Zheyuan Ryan; Tang, Ziye; Tran-Thanh, Long; Singh, Rohit; Fang, Fei (CoRR, 2018)

On the Inducibility of Stackelberg Equilibrium for Security Games. - Guo, Qingyu; Gan, Jiarui; Fang, Fei; Tran-Thanh, Long; Tambe, Milind; An, Bo (CoRR, 2018)

Unifying the stochastic and the adversarial Bandits with Knapsack. - Rangi, Anshuka; Franceschetti, Massimo; Tran-Thanh, Long (CoRR, 2018)

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. - Anderson, Monica; Barták, Roman; Brownstein, John S.; Buckeridge, David L.; Eldardiry, Hoda; Geib, Christopher W.; Gini, Maria L.; Isaksen, Aaron; Keren, Sarah; Laddaga, Robert; Lisý, Viliam; Martin, Rodney; et al. (AI Mag., 2017)

The Dollar Auction with Spiteful Players. - Waniek, Marcin; Tran-Thanh, Long; Michalak, Tomasz P.; Jennings, Nicholas R. (2017)

Budget Limited Trust-Aware Decision Making. - Günes, Taha D.; Norman, Timothy J.; Tran-Thanh, Long (2017)

Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. - Guo, Qingyu; An, Bo; Tran-Thanh, Long (2017)

Optimal Escape Interdiction on Transportation Networks. - Zhang, Youzhi; An, Bo; Tran-Thanh, Long; Wang, Zhen; Gan, Jiarui; Jennings, Nicholas R. (2017)

Playing Repeated Security Games with No Prior Knowledge. - Xu, Haifeng; Tran-Thanh, Long; Jennings, Nicholas R. (2016)

Coalitional Security Games. - Guo, Qingyu; An, Bo; Vorobeychik, Yevgeniy; Tran-Thanh, Long; Gan, Jiarui; Miao, Chunyan (2016)

Repeated Dollar Auctions: A Multi-Armed Bandit Approach. - Waniek, Marcin; Tran-Thanh, Long; Michalak, Tomasz P. (2016)

Interactive Scheduling of Appliance Usage in the Home. - Truong, Ngoc Cuong; Baarslag, Tim; Ramchurn, Sarvapali D.; Tran-Thanh, Long (2016)

Incentive Engineering Framework for Crowdsourcing Systems. - Truong, Nhat V. Q.; Stein, Sebastian; Tran-Thanh, Long; Jennings, Nicholas R. (CoRR, 2016)

Efficiency of active learning for the allocation of workers on crowdsourced classification tasks. - Manino, Edoardo; Tran-Thanh, Long; Jennings, Nicholas R. (CoRR, 2016)

Crowdsourcing Complex Workflows under Budget Constraints. - Tran-Thanh, Long; Huynh, Trung Dong; Rosenfeld, Avi; Ramchurn, Sarvapali D.; Jennings, Nicholas R. (2015)

The Cost of Interference in Evolving Multiagent Systems. - Han, The Anh; Tran-Thanh, Long; Jennings, Nicholas R. (2015)

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. - Tran-Thanh, Long; Xia, Yingce; Qin, Tao; Jennings, Nicholas R. (2015)

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. - Kawale, Jaya; Bui, Hung Hai; Kveton, Branislav; Tran-Thanh, Long; Chawla, Sanjay (2015)

Efficient crowdsourcing of unknown experts using bounded multi-armed bandits. - Tran-Thanh, Long; Stein, Sebastian; Rogers, Alex; Jennings, Nicholas R. (Artif. Intell., 2014)

BudgetFix: budget limited crowdsourcing for interdependent task allocation with quality guarantees. - Tran-Thanh, Long; Huynh, Trung Dong; Rosenfeld, Avi; Ramchurn, Sarvapali D.; Jennings, Nicholas R. (2014)

Referral Incentives in Crowdfunding. - Naroditskiy, Victor; Stein, Sebastian; Tonin, Mirco; Tran-Thanh, Long; Vlassopoulos, Michael; Jennings, Nicholas R. (2014)

Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions. - Tran-Thanh, Long; Stavrogiannis, Lampros C.; Naroditskiy, Victor; Robu, Valentin; Jennings, Nicholas R.; Key, Peter B. (2014)

Functional Bandits. - Tran-Thanh, Long; Yu, Jia Yuan (CoRR, 2014)

Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks. - Tran-Thanh, Long; Venanzi, Matteo; Rogers, Alex; Jennings, Nicholas R. (2013)

Towards appliance usage prediction for home energy management. - Truong, Ngoc Cuong; Tran-Thanh, Long; Costanza, Enrico; Ramchurn, Sarvapali D. (2013)

An Efficient Vector-Based Representation for Coalitional Games. - Tran-Thanh, Long; Nguyen, Tri-Dung; Rahwan, Talal; Rogers, Alex; Jennings, Nicholas R. (2013)

Forecasting Multi-Appliance Usage for Smart Home Energy Management. - Truong, Ngoc Cuong; McInerney, James; Tran-Thanh, Long; Costanza, Enrico; Ramchurn, Sarvapali D. (2013)

Bounding the Estimation Error of Sampling-based Shapley Value Approximation With/Without Stratifying. - Maleki, Sasan; Tran-Thanh, Long; Hines, Greg; Rahwan, Talal; Rogers, Alex (CoRR, 2013)

Budget-limited multi-armed bandits. - Tran-Thanh, Long (2012)

Long-term information collection with energy harvesting wireless sensors: a multi-armed bandit based approach. - Tran-Thanh, Long; Rogers, Alex; Jennings, Nicholas R. (Auton. Agents Multi Agent Syst., 2012)

Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits. - Tran-Thanh, Long; Chapman, Archie C.; Rogers, Alex; Jennings, Nicholas R. (2012)

DCOPs and bandits: exploration and exploitation in decentralised coordination. - Stranders, Ruben; Tran-Thanh, Long; Fave, Francesco Maria Delle; Rogers, Alex; Jennings, Nicholas R. (2012)

Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits. - Tran-Thanh, Long; Stein, Sebastian; Rogers, Alex; Jennings, Nicholas R. (2012)

Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits - Tran-Thanh, Long; Chapman, Archie C.; Rogers, Alex; Jennings, Nicholas R. (CoRR, 2012)

On the Existence of Pure Strategy Nash Equilibria in Integer-Splittable Weighted Congestion Games. - Tran-Thanh, Long; Polukarov, Maria; Chapman, Archie C.; Rogers, Alex; Jennings, Nicholas R. (2011)

An Agent-Based Distributed Coordination Mechanism for Wireless Visual Sensor Nodes Using Dynamic Programming. - Kho, Johnsen; Tran-Thanh, Long; Rogers, Alex; Jennings, Nicholas R. (Comput. J., 2010)

Fading-aware reliable and energy efficient routing in wireless sensor networks. - Levendovszky, János; Tran-Thanh, Long; Treplán, Gergely; Kiss, Gábor (Comput. Commun., 2010)

Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. - Tran-Thanh, Long; Chapman, Archie C.; Cote, Enrique Munoz de; Rogers, Alex; Jennings, Nicholas R. (2010)

Delay Characteristics and Server Update Optimization of Multiplayer Gaming in Mobile Environment. - Kiss, Gábor; Levendovszky, János; Molnár, Sándor; Tran-Thanh, Long (2010)

Optimal Time Dependent Data Collection Schemes in Wireless Sensor Networks. - Tran-Thanh, Long; Levendovszky, János (2010)

Decentralised control of adaptive sampling and routing in wireless visual sensor networks. - Kho, Johnsen; Tran-Thanh, Long; Rogers, Alex; Jennings, Nicholas R. (2009)

A novel reliability based routing protocol for power aware communications in wireless sensor networks. - Tran-Thanh, Long; Levendovszky, János (2009)