Long Tran-Thanh

155 papers A* 42A 26B 8C 3Journal 62Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pruning at Initialisation through the lens of Graphon Limit: Convergence, Expressivity, and Generalisation. CoRR Hoang Pham, The-Anh Ta, Long Tran-Thanh
2025	A*	`conf`	DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle. ICLR Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen
2025	A*	`conf`	HRI-SENSE: A Multimodal Dataset on Social and Emotional Responses to Robot Behaviour. HRI Balint Gucsi, Nguyen Tan Viet Tuyen, Bing Chu, Danesh S. Tarapore, Long Tran-Thanh
2025	A	`conf`	Learning in Repeated Multi-Objective Stackelberg Games with Payoff Manipulation. ECAI Phurinut Srisawad, Juergen Branke, Long Tran-Thanh
2025	J	`jnl`	Learning in Repeated Multi-Objective Stackelberg Games with Payoff Manipulation. CoRR Phurinut Srisawad, Juergen Branke, Long Tran-Thanh
2025	A	`conf`	Market-based Architectures in RL and Beyond. AAMAS Abhimanyu Pallavi Sudhir, Long Tran-Thanh
2025	J	`jnl`	Market-based Architectures in RL and Beyond. CoRR Abhimanyu Pallavi Sudhir, Long Tran-Thanh
2025	A*	`conf`	Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback. AAAI Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh
2025	J	`jnl`	Provably Improving Generalization of Few-Shot Models with Synthetic Data. CoRR Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than
2025	A*	`conf`	Provably Improving Generalization of Few-shot models with Synthetic Data. ICML Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than
2025	J	`jnl`	Revisiting LARS for Large Batch Training Generalization of Neural Networks. IEEE Trans. Artif. Intell. Hoang Khoi Do, Minh-Duong Nguyen, Nguyen Tien Hoa, Long Tran-Thanh, Nguyen Hoang Tran, Quoc-Viet Pham
2025	B	`conf`	RoboButler: Frustration-Aware Assistive User Localisation for Social Robots in Office Environments. RO-MAN Balint Gucsi, Nguyen Tan Viet Tuyen, Bing Chu, Danesh S. Tarapore, Long Tran-Thanh
2025	J	`jnl`	Safety Game: Balancing Safe and Informative Conversations with Blackbox Agentic AI using LP Solvers. CoRR Tuan Nguyen, Long Tran-Thanh
2025	J	`jnl`	Sparse Offline Reinforcement Learning with Corruption Robustness. CoRR Nam Phuong Tran, Andi Nika, Goran Radanovic, Long Tran-Thanh, Debmalya Mandal
2025	J	`jnl`	The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis. CoRR Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
2025	A*	`conf`	User-Aware Collaborative Learning in Human-Robot Interactions. ICRA Balint Gucsi, Nguyen Tan Viet Tuyen, Bing Chu, Danesh S. Tarapore, Long Tran-Thanh
2024	B	`conf`	A Simulation for Supply Chains Contract Execution. LPNMR Long Tran-Thanh, Tran Cao Son, Dylan Flynn, Marcello Balduccini
2024	A	`conf`	A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2024	A	`conf`	Attacking Multi-Player Bandits and How to Robustify Them. AAMAS Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
2024	J	`jnl`	Betting on what is neither verifiable nor falsifiable. CoRR Abhimanyu Pallavi Sudhir, Long Tran-Thanh
2024	—	`conf`	HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations. EACL (Findings) Minh Nguyen, Nghi Bui, Truong Son Hy, Long Tran-Thanh, Tien Nguyen
2024	A	`conf`	Identifying the Best Arm in the Presence of Global Environment Shifts. ECAI Phurinut Srisawad, Juergen Branke, Long Tran-Thanh
2024	J	`jnl`	Identifying the Best Arm in the Presence of Global Environment Shifts. CoRR Phurinut Srisawad, Juergen Branke, Long Tran-Thanh
2024	A*	`conf`	Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. NeurIPS Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
2024	J	`jnl`	Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. CoRR Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
2024	A*	`conf`	Symmetric Linear Bandits with Hidden Symmetry. NeurIPS Nam Phuong Tran, The-Anh Ta, Debmalya Mandal, Long Tran-Thanh
2024	J	`jnl`	Symmetric Linear Bandits with Hidden Symmetry. CoRR Nam Phuong Tran, The-Anh Ta, Debmalya Mandal, Long Tran-Thanh
2023	J	`jnl`	Achieving Better Regret against Strategic Adversaries. CoRR Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh
2023	J	`jnl`	Efficient and adaptive incentive selection for crowdsourcing contests. Appl. Intell. Nhat Van-Quoc Truong, Le Cong Dinh, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
2023	J	`jnl`	Examining the Effects of Degree Distribution and Homophily in Graph Learning Models. CoRR Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi
2023	—	`conf`	Invariant Lipschitz Bandits: A Side Observation Approach. ECML/PKDD (4) Nam Phuong Tran, Long Tran-Thanh
2023	J	`jnl`	Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2023	—	`conf`	Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. GameSec Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
2023	J	`jnl`	Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. CoRR Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem
2023	J	`jnl`	Revisiting LARS for Large Batch Training Generalization of Neural Networks. CoRR Hoang Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Quoc-Viet Pham
2023	A*	`conf`	Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? NeurIPS Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh
2022	A*	`conf`	Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation. CVPR Minh-Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum
2022	A*	`conf`	Expected Improvement for Contextual Bandits. NeurIPS Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh
2022	J	`jnl`	Invariant Lipschitz Bandits: A Side Observation Approach. CoRR Nam Phuong Tran, The-Anh Ta, Long Tran-Thanh
2022	J	`jnl`	Label driven Knowledge Distillation for Federated Learning with non-IID Data. CoRR Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang, Long Tran-Thanh, Diep N. Nguyen, Won-Joo Hwang
2022	J	`jnl`	Multi-Player Bandits Robust to Adversarial Collisions. CoRR Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh
2022	A*	`conf`	Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. AAAI Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
2022	A*	`conf`	Sequential Blocked Matching. AAAI Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
2022	A*	`conf`	Sequential Vaccine Allocation with Delayed Feedback. IJCAI Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh
2022	A*	`conf`	Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. WWW Thai Le, Long Tran-Thanh, Dongwon Lee
2022	—	`conf`	Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
2022	J	`jnl`	Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
2022	A*	`conf`	Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. IJCAI Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
2022	J	`jnl`	Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. CoRR Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
2021	J	`jnl`	Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. CoRR Thai Le, Long Tran-Thanh, Dongwon Lee
2021	A	`conf`	How to Guide a Non-Cooperative Learner to Cooperate: Exploiting No-Regret Algorithms in System Design. AAMAS Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
2021	J	`jnl`	Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms. CoRR Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett
2021	B	`conf`	Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. ALT Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemkoho, Long Tran-Thanh
2021	J	`jnl`	Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2021	J	`jnl`	Optimising Resource Management for Embedded Machine Learning. CoRR Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett
2021	J	`jnl`	Partner selection in self-organised wireless sensor networks for opportunistic energy negotiation: A multi-armed bandit based approach. Ad Hoc Networks Andre P. Ortega, Sarvapali D. Ramchurn, Long Tran-Thanh, Geoff V. Merrett
2021	J	`jnl`	Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost. CoRR Shivakumar Mahesh, Nicholas Bishop, Le Cong Dinh, Long Tran-Thanh
2021	J	`jnl`	Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. CoRR Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
2021	J	`jnl`	Sequential Blocked Matching. CoRR Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
2021	J	`jnl`	Sequential Choice Bandits with Feedback for Personalizing users' experience. CoRR Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
2021	J	`jnl`	Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs. Appl. Intell. Mashrur Rashik, Md. Musfiqur Rahman, Md. Mosaddek Khan, Md. Mamun-Or-Rashid, Long Tran-Thanh, Nicholas R. Jennings
2020	A	`conf`	AED: An Anytime Evolutionary DCOP Algorithm. AAMAS Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
2020	A*	`conf`	Adversarial Blocking Bandits. NeurIPS Nick Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
2020	A*	`conf`	Bounding Regret in Empirical Games. AAAI Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
2020	C	`conf`	Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations. CLEI Ronald Gualán, Víctor Saquicela, Long Tran-Thanh
2020	A	`conf`	Continuous Influence Maximisation for the Voter Dynamics: Is Targeting High-Degree Nodes a Good Strategy? AAMAS Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede
2020	A*	`conf`	Defending with Shared Resources on a Network. AAAI Minming Li, Long Tran-Thanh, Xiaowei Wu
2020	J	`jnl`	Exploiting No-Regret Algorithms in System Design. CoRR Le Cong Dinh, Nick Bishop, Long Tran-Thanh
2020	A*	`conf`	Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach. IJCAI Hau Chan, Long Tran-Thanh, Vignesh Viswanathan
2020	J	`jnl`	Fuzzy c-Means Clustering for Persistence Diagrams. CoRR Thomas O. M. Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh
2020	J	`jnl`	Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information. CoRR Le Cong Dinh, Long Tran-Thanh, Tri-Dung Nguyen, Alain B. Zemkoho
2020	A*	`conf`	Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. IJCAI Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
2020	J	`jnl`	Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs. CoRR Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
2020	A*	`conf`	Optimal Learning from Verified Training Data. NeurIPS Nick Bishop, Long Tran-Thanh, Enrico H. Gerding
2020	A	`conf`	Optimising Resource Management for Embedded Machine Learning. DATE Lei Xun, Long Tran-Thanh, Bashir M. Al-Hashimi, Geoff V. Merrett
2020	A*	`conf`	Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. AAAI Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh
2020	A	`conf`	To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots. IROS Balint Gucsi, Danesh S. Tarapore, William Yeoh, Christopher Amato, Long Tran-Thanh
2020	J	`jnl`	Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? CoRR Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede
2019	J	`jnl`	AED: An Anytime Evolutionary DCOP Algorithm. CoRR Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
2019	J	`jnl`	An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners. CoRR Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein, Viet Hung Nguyen
2019	J	`jnl`	Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations. CoRR Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh
2019	J	`jnl`	Defending with Shared Resources on a Network. CoRR Minming Li, Long Tran-Thanh, Xiaowei Wu
2019	A	`conf`	Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe
2019	A*	`conf`	Identifying vulnerabilities in trust and reputation systems. IJCAI Taha D. Günes, Long Tran-Thanh, Timothy J. Norman
2019	A*	`conf`	Imitative Follower Deception in Stackelberg Games. EC Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge
2019	J	`jnl`	Imitative Follower Deception in Stackelberg Games. CoRR Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge
2019	A*	`conf`	Manipulating a Learning Defender and Ways to Counteract. NeurIPS Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge
2019	J	`jnl`	Manipulating a Learning Defender and Ways to Counteract. CoRR Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael J. Wooldridge
2019	A*	`conf`	On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2019	J	`jnl`	On the efficiency of data collection for multiple Naïve Bayes classifiers. Artif. Intell. Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
2019	A*	`conf`	Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information. AAAI Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
2019	C	`conf`	Promoting Cooperation through External Interference. ALIFE The Anh Han, Long Tran-Thanh, Simon Lynch, Theodor Cimpeanu, Francisco C. Santos
2019	B	`conf`	Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation. PRIMA Tin Leelavimolsilp, Viet Hung Nguyen, Sebastian Stein, Long Tran-Thanh
2019	—	`conf`	Shielding and Shadowing: A Tale of Two Strategies for Opinion Control in the Voting Dynamics. COMPLEX NETWORKS (1) Guillermo Romero Moreno, Long Tran-Thanh, Markus Brede
2019	—	`conf`	Social Cost Guarantees in Smart Route Guidance. PRICAI (2) Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
2019	J	`jnl`	Social Cost Guarantees in Smart Route Guidance. CoRR Paolo Serafino, Carmine Ventre, Long Tran-Thanh, Jie Zhang, Bo An, Nick R. Jennings
2019	A*	`conf`	Streaming Bayesian Inference for Crowdsourced Classification. NeurIPS Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
2019	J	`jnl`	Streaming Bayesian Inference for Crowdsourced Classification. CoRR Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
2019	A*	`conf`	Unifying the Stochastic and the Adversarial Bandits with Knapsack. IJCAI Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
2019	—	`conf`	What Prize Is Right? How to Learn the Optimal Structure for Crowdsourcing Contests. PRICAI (1) Nhat Van-Quoc Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
2018	A	`conf`	A Generic Domain Pruning Technique for GDL-Based DCOP Algorithms in Cooperative Multi-Agent Systems. AAMAS Md. Mosaddek Khan, Long Tran-Thanh, Nicholas R. Jennings
2018	A	`conf`	A Near-Optimal Node-to-Agent Mapping Heuristic for GDL-Based DCOP Algorithms in Multi-Agent Systems. AAMAS Md. Mosaddek Khan, Long Tran-Thanh, William Yeoh, Nicholas R. Jennings
2018	A	`conf`	Adaptive Incentive Selection for Crowdsourcing Contests. AAMAS Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
2018	A	`conf`	Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik
2018	A*	`conf`	Designing the Game to Play: Optimizing Payoff Structure in Security Games. IJCAI Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
2018	J	`jnl`	Designing the Game to Play: Optimizing Payoff Structure in Security Games. CoRR Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
2018	A*	`conf`	Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. IJCAI The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos
2018	A	`conf`	Inducible Equilibrium for Security Games. AAMAS Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018	A*	`conf`	On the Efficiency of Data Collection for Crowdsourced Classification. IJCAI Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
2018	J	`jnl`	On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018	J	`jnl`	On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners. CoRR Tin Leelavimolsilp, Long Tran-Thanh, Sebastian Stein
2018	A	`conf`	Preference Elicitation with Interdependency and User Bother Cost. AAMAS Tiep Le, Atena M. Tabakhi, Long Tran-Thanh, William Yeoh, Tran Cao Son
2018	J	`jnl`	Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs. Comput. J. Md. Mosaddek Khan, Long Tran-Thanh, Sarvapali D. Ramchurn, Nicholas R. Jennings
2018	—	`conf`	Strategic Attacks on Trust Models via Bandit Optimization. TRUST@AAMAS Taha D. Gunes, Long Tran-Thanh, Timothy J. Norman
2018	J	`jnl`	Unifying the stochastic and the adversarial Bandits with Knapsack. CoRR Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
2018	C	`conf`	Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe
2017	—	`conf`	Budget Limited Trust-Aware Decision Making. AAMAS Workshops (Visionary Papers) Taha D. Günes, Timothy J. Norman, Long Tran-Thanh
2017	A*	`conf`	Optimal Escape Interdiction on Transportation Networks. IJCAI Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings
2017	A*	`conf`	Playing Repeated Network Interdiction Games with Semi-Bandit Feedback. IJCAI Qingyu Guo, Bo An, Long Tran-Thanh
2017	J	`jnl`	Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 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
2017	A*	`conf`	The Dollar Auction with Spiteful Players. AAAI Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings
2016	A	`conf`	Coalitional Security Games. AAMAS Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, Chunyan Miao
2016	J	`jnl`	Efficiency of active learning for the allocation of workers on crowdsourced classification tasks. CoRR Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
2016	J	`jnl`	Incentive Engineering Framework for Crowdsourcing Systems. CoRR Nhat V. Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings
2016	A*	`conf`	Interactive Scheduling of Appliance Usage in the Home. IJCAI Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, Long Tran-Thanh
2016	A	`conf`	Playing Repeated Security Games with No Prior Knowledge. AAMAS Haifeng Xu, Long Tran-Thanh, Nicholas R. Jennings
2016	A	`conf`	Repeated Dollar Auctions: A Multi-Armed Bandit Approach. AAMAS Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak
2015	A*	`conf`	Crowdsourcing Complex Workflows under Budget Constraints. AAAI Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings
2015	A*	`conf`	Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. IJCAI Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings
2015	—	`conf`	Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla
2015	A	`conf`	The Cost of Interference in Evolving Multiagent Systems. AAMAS The Anh Han, Long Tran-Thanh, Nicholas R. Jennings
2014	A	`conf`	BudgetFix: budget limited crowdsourcing for interdependent task allocation with quality guarantees. AAMAS Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings
2014	A	`conf`	Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions. UAI Long Tran-Thanh, Lampros C. Stavrogiannis, Victor Naroditskiy, Valentin Robu, Nicholas R. Jennings, Peter B. Key
2014	J	`jnl`	Efficient crowdsourcing of unknown experts using bounded multi-armed bandits. Artif. Intell. Long Tran-Thanh, Sebastian Stein, Alex Rogers, Nicholas R. Jennings
2014	J	`jnl`	Functional Bandits. CoRR Long Tran-Thanh, Jia Yuan Yu
2014	B	`conf`	Referral Incentives in Crowdfunding. HCOMP Victor Naroditskiy, Sebastian Stein, Mirco Tonin, Long Tran-Thanh, Michael Vlassopoulos, Nicholas R. Jennings
2013	A*	`conf`	An Efficient Vector-Based Representation for Coalitional Games. IJCAI Long Tran-Thanh, Tri-Dung Nguyen, Talal Rahwan, Alex Rogers, Nicholas R. Jennings
2013	J	`jnl`	Bounding the Estimation Error of Sampling-based Shapley Value Approximation With/Without Stratifying. CoRR Sasan Maleki, Long Tran-Thanh, Greg Hines, Talal Rahwan, Alex Rogers
2013	A	`conf`	Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks. AAMAS Long Tran-Thanh, Matteo Venanzi, Alex Rogers, Nicholas R. Jennings
2013	A*	`conf`	Forecasting Multi-Appliance Usage for Smart Home Energy Management. IJCAI Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn
2013	—	`conf`	Towards appliance usage prediction for home energy management. e-Energy Ngoc Cuong Truong, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn
2012	—	`—`	Budget-limited multi-armed bandits. Long Tran-Thanh
2012	A	`conf`	DCOPs and bandits: exploration and exploitation in decentralised coordination. AAMAS Ruben Stranders, Long Tran-Thanh, Francesco Maria Delle Fave, Alex Rogers, Nicholas R. Jennings
2012	A	`conf`	Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits. ECAI Long Tran-Thanh, Sebastian Stein, Alex Rogers, Nicholas R. Jennings
2012	A*	`conf`	Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits. AAAI Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings
2012	J	`jnl`	Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits CoRR Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings
2012	J	`jnl`	Long-term information collection with energy harvesting wireless sensors: a multi-armed bandit based approach. Auton. Agents Multi Agent Syst. Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings
2011	B	`conf`	On the Existence of Pure Strategy Nash Equilibria in Integer-Splittable Weighted Congestion Games. SAGT Long Tran-Thanh, Maria Polukarov, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings
2010	J	`jnl`	An Agent-Based Distributed Coordination Mechanism for Wireless Visual Sensor Nodes Using Dynamic Programming. Comput. J. Johnsen Kho, Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings
2010	—	`conf`	Delay Characteristics and Server Update Optimization of Multiplayer Gaming in Mobile Environment. ICC Gábor Kiss, János Levendovszky, Sándor Molnár, Long Tran-Thanh
2010	A*	`conf`	Epsilon-First Policies for Budget-Limited Multi-Armed Bandits. AAAI Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings
2010	J	`jnl`	Fading-aware reliable and energy efficient routing in wireless sensor networks. Comput. Commun. János Levendovszky, Long Tran-Thanh, Gergely Treplán, Gábor Kiss
2010	B	`conf`	Optimal Time Dependent Data Collection Schemes in Wireless Sensor Networks. WCNC Long Tran-Thanh, János Levendovszky
2009	B	`conf`	A novel reliability based routing protocol for power aware communications in wireless sensor networks. WCNC Long Tran-Thanh, János Levendovszky
2009	—	`conf`	Decentralised control of adaptive sampling and routing in wireless visual sensor networks. AAMAS (2) Johnsen Kho, Long Tran-Thanh, Alex Rogers, Nicholas R. Jennings