Bo An
Cited by
Cited by
Combating noisy labels by agreement: A joint training method with co-regularization
H Wei, L Feng, X Chen, B An
Proceedings of the IEEE/CVF conference on computer vision and patterná…, 2020
Protect: A deployed game theoretic system to protect the ports of the united states
E Shieh, B An, R Yang, M Tambe, C Baldwin, J DiRenzo, B Maule, ...
Proceedings of the 11th international conference on autonomous agents andá…, 2012
Optimal electric vehicle fast charging station placement based on game theoretical framework
Y Xiong, J Gan, B An, C Miao, ALC Bazzan
IEEE Transactions on Intelligent Transportation Systems 19 (8), 2493-2504, 2017
Automated negotiation with decommitment for dynamic resource allocation in cloud computing
B An, V Lesser, D Irwin, M Zink
Proceedings of the 9th International Conference on Autonomous Agents andá…, 2010
Poi2vec: Geographical latent representation for predicting future visitors
S Feng, G Cong, B An, YM Chee
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Stackelberg security games: Looking beyond a decade of success
A Sinha, F Fang, B An, C Kiekintveld, M Tambe
IJCAI, 2018
Mitigating neural network overconfidence with logit normalization
H Wei, R Xie, H Cheng, L Feng, B An, Y Li
International conference on machine learning, 23631-23644, 2022
Deploying paws: Field optimization of the protection assistant for wildlife security
F Fang, T Nguyen, R Pickles, W Lam, G Clements, B An, A Singh, ...
Proceedings of the AAAI Conference on Artificial Intelligence 30 (2), 3966-3973, 2016
Can cross entropy loss be robust to label noise?
L Feng, S Shu, Z Lin, F Lv, L Li, B An
Proceedings of the twenty-ninth international conference on internationalá…, 2021
Provably consistent partial-label learning
L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama
Advances in neural information processing systems 33, 10948-10960, 2020
Partial label learning with self-guided retraining
L Feng, B An
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3542-3549, 2019
Leveraging Latent Label Distributions for Partial Label Learning.
L Feng, B An
IJCAI, 2107-2113, 2018
Learning efficient multi-agent communication: An information bottleneck approach
R Wang, X He, R Yu, W Qiu, B An, Z Rabinovich
International Conference on Machine Learning, 9908-9918, 2020
Learning with multiple complementary labels
L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama
International conference on machine learning, 3072-3081, 2020
Strategic agents for multi-resource negotiation
B An, V Lesser, KM Sim
Autonomous Agents and Multi-Agent Systems 23, 114-153, 2011
Toward efficient team formation for crowdsourcing in noncooperative social networks
W Wang, J Jiang, B An, Y Jiang, B Chen
IEEE transactions on cybernetics 47 (12), 4208-4222, 2016
Guards and protect: Next generation applications of security games
B An, J Pita, E Shieh, M Tambe, C Kiekintveld, J Marecki
ACM SIGecom Exchanges 10 (1), 31-34, 2011
A deployed quantal response-based patrol planning system for the US Coast Guard
B An, F Ordˇ˝ez, M Tambe, E Shieh, R Yang, C Baldwin, J DiRenzo III, ...
Interfaces 43 (5), 400-420, 2013
Challenges and opportunities for trust management in crowdsourcing
H Yu, Z Shen, C Miao, B An
2012 IEEE/WIC/ACM International Conferences on Web Intelligence andá…, 2012
Efficient label contamination attacks against black-box learning models.
M Zhao, B An, W Gao, T Zhang
IJCAI, 3945-3951, 2017
The system can't perform the operation now. Try again later.
Articles 1–20