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Number of items: 27.
2024
Mahesh, Shivakumar, Rangi, Anshuka, Xu, Haifeng and Tran-Thanh, Long (2024) Attacking multi-player bandits and how to robustify them. In: 23rd Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024), New Zealand, 6-10 May 2024. Published in: Proceedings of 23rd Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) (In Press)
Nguyen, Minh Huynh, Bui, Nghi D. Q., Hy, Truong Son, Tran-Thanh, Long and Nguyen, Tien N. (2024) HierarchyNet : learning to summarize source code with heterogeneous representations. In: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), St. Julianβs, Malta, 17-22 Mar 2024. Published in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) (In Press)
2023
Mahesh, Shivakumar, Bishop, Nicholas, Dinh, Le Cong and Tran-Thanh, Long (2023) Playing repeated coopetitive polymatrix games with small manipulation cost. In: Decision and Game Theory for Security. GameSec 2023. Lecture Notes in Computer Science, 14167 . Springer, pp. 257-276. ISBN 9783031506697
Pham, Hoang, Ta, The-Anh, Liu, Shiwei, Xiang, Lichuan, Dung, D. Le, Wen, Hongkai and Tran-Thanh, Long (2023) Towards data-agnostic pruning at initialization : what makes a good sparse mask? In: Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, 10-16 Dec 2023, 13 (In Press)
Truong, Nhat Van-Quoc, Dinh, Le Cong, Stein, Sebastian, Tran-Thanh, Long and Jennings, Nicholas R. (2023) Efficient and adaptive incentive selection for crowdsourcing contests. Applied Intelligence, 53 . pp. 9204-9234. doi:10.1007/s10489-022-03593-2 ISSN 0924-669X.
Dinh, Le Cong, Mguni, David Henry, Tran-Thanh, Long, Wang, Jun and Yang, Yaodong (2023) Online Markov decision processes with non-oblivious strategic adversary. Autonomous Agents and Multi-Agent Systems, 37 (1). 15. doi:10.1007/s10458-023-09599-5 ISSN 1387-2532.
2022
Rangi, Anshuka, Tran-Thanh, Long, Xu, Haifeng and Franceschetti, Massimo (2022) Saving stochastic bandits from poisoning attacks via limited data verification. In: Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Virtual conference, 22 Feb- 01 Mar 2022. Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 36 (7). pp. 8054-8061. doi:10.1609/aaai.v36i7.20777 ISSN 2374-3468.
Bishop, Nicholas, Chan, Hau, Mandal, Debmalya and Tran-Thanh, Long (2022) Sequential blocked matching. In: Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Virtual conference, 22 Feb- 01 Mar 2022. Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 36 (5). pp. 4834-4842. doi:10.1609/aaai.v36i5.20411
Phan, Minh Hieu, Ta, The-Anh, Phung, Son Lam, Tran-Thanh, Long and Bouzerdoum, Abdesselam (2022) Class similarity weighted knowledge distillation for continual semantic segmentation. In: 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, USA, 19-24 Jun 2022 pp. 16866-16875.
Xiao, Yichen, Ou, Han-Ching, Chen, Haipeng, Nguyen, Van Thieu and Tran-Thanh, Long (2022) Sequential vaccine allocation with delayed feedback. In: International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, 25-29 Jul 2022. Published in: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) pp. 5199-5205. doi:10.24963/ijcai.2022/722
Le, Thai, Tran-Thanh, Long and Lee, Dongwon (2022) Socialbots on fire : modeling adversarial behaviors of socialbots via multi-agent hierarchical reinforcement learning. In: The ACM Web Conference (WWW 2022), Virtual; Lyon, France, 25-29 Apr 2022. Published in: WWW '22: Proceedings of the ACM Web Conference 2022 pp. 545-554. ISBN 9781450390965. doi:10.1145/3485447.3512215
Rangi, Anshuka, Xu, Haifeng, Tran-Thanh, Long and Franceschetti, Massimo (2022) Understanding the limits of poisoning attacks in episodic reinforcement learning. In: International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, 25-29 Jul 2022. Published in: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) pp. 3394-3400. doi:10.24963/ijcai.2022/471
2021
Rawson, Andrew, Brito, Mario, Sabeur, Zoheir and Tran-Thanh, Long (2021) From conventional to machine learning methods for maritime risk ssessment. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 15 (4). pp. 757-764. doi:10.12716/1001.15.04.06 ISSN 2083-6473.
Bishop, Nicholas, Dinh, Le Cong and Tran-Thanh, Long (2021) How to guide a non-cooperative learner to cooperate : exploiting no-regret algorithms in system design. In: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, Virtual, 3-7 May 2021. Published in: 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) pp. 1464-1466. ISBN 9781450383073. doi:10.5555/3463952.3464126 ISSN 2523-5699.
Dinh, Le Cong, Zemhoho, Alain B. and Tran-Thanh, Long (2021) Last round convergence and no-dynamic regret in asymmetric repeated games. In: The 32nd International Conference on Algorithmic Learning Theory, Virtual, 16-19 Mar 2021. Published in: Proceedings of the 32nd International Conference on Algorithmic Learning Theory, 132 pp. 553-577.
2020
Chan, Hau, Tran-Thanh, Long and Viswanathan, Vignesh (2020) Fighting wildfires under uncertainty - a sequential resource allocation approach. In: Twenty-Ninth International Joint Conference on Artificial Intelligence, Jan 2021. Published in: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence pp. 4322-4329. ISBN 9780999241165. doi:10.24963/ijcai.2020/596
Gucsi, Balint, Tarapore, Danesh S., Yeoh, William, Amato, Christopher and Tran-Thanh, Long (2020) To ask or not to ask : a user annoyance aware preference elicitation framework for social robots. In: International Conference on Intelligent Robots and Systems (IROS 2020), Las Vegas, Nevada, USA, 24-29 Oct 2020. Published in: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ISBN 9781728162133. doi:10.1109/IROS45743.2020.9341607 ISSN 2153-0866.
Bishop, Nicholas, Chan, Hau, Mandal, Debmalya and Tran-Thanh, Long (2020) Adversarial blocking bandits. In: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, 7-12 Oct 2020. Published in: Advances in Neural Information Processing Systems, 33
Bishop, Nicholas, Tran-Thanh, Long and Gerding, Enrico (2020) Optimal learning from verified training data. In: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, 7-12 Oct 2020. Published in: Advances in Neural Information Processing Systems, 33
2019
Manino, Edoardo, Tran-Thanh, Long and Jennings, Nicholas R. (2019) On the efficiency of data collection for multiple NaΓ―ve Bayes classifiers. Artificial Intelligence, 275 . pp. 356-378. doi:10.1016/j.artint.2019.06.010 ISSN 0004-3702.
2018
Schlenker, Aaron, Thakoor, Omkar, Xu, Haifeng, Fang, Fei, Tambe, Milind, Tran-Thanh, Long, Vayanos, Phebe and Vorobeychik, Yevgeniy (2018) Deceiving cyber adversaries : a game theoretic approach. In: AAMAS '18: 17th International Conference on Autonomous Agents and MultiAgent Systems, Stockholm, Sweden, 10-15 Jul 2018. Published in: AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems pp. 892-900. ISBN 9781450356497. doi:10.5555/3237383.3237833 ISSN 2523-5699.
2016
Xu, Haifeng, Tran-Thanh, Long and Jennings, Nick (2016) Playing repeated security games with no prior knowledge. In: 15th International Conference on Autonomous Agents & Multiagent Systems (AAMAS 2016), Singapore , 9-13 May 2016. Published in: AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems pp. 104-112. ISBN 9781450342391. doi:10.5555/2936924.2936944
2015
Kawale, Jaya, Bui, Hung Hai, Kveton, Branislav, Tran Thanh, Long and Chawla, Sanjay (2015) Efficient Thompson sampling for online matrix-factorization recommendation. In: NIPS'15: 28th International Conference on Neural Information Processing Systems, Montreal, London, 7-12 Dec 2015. Published in: NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems (NeurIPS 2015), 1 pp. 1297-1305. doi:10.5555/2969239.2969384
Tran-Thanh, Long, Huynh, Trung Dong, Rosenfeld, Avi, Ramchurn, Sarvapali D. and Jennings, Nicholas R. (2015) Crowdsourcing complex workflows under budget constraints. In: The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, 25-29 Jan 2015. Published in: AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence pp. 1298-1304. ISBN 0262511290.
2014
Tran-Thanh, Long, Stein, Sebastian, Rogers, Alex and Jennings, Nicholas R. (2014) Efficient crowdsourcing of unknown experts using bounded multi-armed bandits. Artificial Intelligence, 214 . pp. 89-111. doi:10.1016/j.artint.2014.04.005 ISSN 0004-3702.
Tran-Thanh, Long, Stavrogiannis, Lampros, Naroditskiy, Victor, Robu, Valentin, Jennings, Nicholas R. and Key, Peter (2014) Efficient regret bounds for online bid optimisation in budget-limited sponsored search auctions. In: UAI'14: Thirtieth Conference on Uncertainty in Artificial Intelligence, Quebec City, Quebec, Canada, 23-27 Jul 2014. Published in: UAI'14: Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence pp. 809-818. ISBN 9780974903910.
Tran-Thanh, Long, Huynh, Trung Dong, Rosenfeld, Avi, Ramchurn, Sarvapali and Jennings, Nicholas R. (2014) BudgetFix : budget limited crowdsourcing for interdependent task allocation with quality guarantees. In: AAMAS '14: International conference on Autonomous Agents and Multi-Agent Systems, Paris, France, 5-9 May 2014. Published in: AAMAS '14: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems pp. 477-484. ISSN 9781450327381.
This list was generated on Thu Mar 28 21:33:41 2024 GMT.