| Deep gate recurrent neural network Y Gao, D Glowacka Asian conference on machine learning, 350-365, 2016 | 73 | 2016 |
| FEANet: Feature-enhanced attention network for RGB-thermal real-time semantic segmentation F Deng, H Feng, M Liang, H Wang, Y Yang, Y Gao, J Chen, J Hu, X Guo, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 42 | 2021 |
| Learning socially appropriate robot approaching behavior toward groups using deep reinforcement learning Y Gao, F Yang, M Frisk, D Hemandez, C Peters, G Castellano 2019 28th IEEE international conference on robot and human interactive …, 2019 | 28* | 2019 |
| When robot personalisation does not help: Insights from a robot-supported learning study Y Gao, W Barendregt, M Obaid, G Castellano 2018 27th IEEE International Symposium on Robot and Human Interactive …, 2018 | 26 | 2018 |
| Personalised human-robot co-adaptation in instructional settings using reinforcement learning AY Gao, W Barendregt, G Castellano IVA Workshop on Persuasive Embodied Agents for Behavior Change: PEACH 2017 …, 2017 | 26 | 2017 |
| Leveraging activity recognition to enable protective behavior detection in continuous data C Wang, Y Gao, A Mathur, AC De C. Williams, ND Lane, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 23 | 2021 |
| A generalized framework for self-play training D Hernandez, K Denamganaï, Y Gao, P York, S Devlin, S Samothrakis, ... 2019 IEEE Conference on Games (CoG), 1-8, 2019 | 22 | 2019 |
| Boosting lightweight depth estimation via knowledge distillation J Hu, C Fan, H Jiang, X Guo, Y Gao, X Lu, TL Lam International Conference on Knowledge Science, Engineering and Management, 27-39, 2023 | 21 | 2023 |
| Lapo: Latent-variable advantage-weighted policy optimization for offline reinforcement learning X Chen, A Ghadirzadeh, T Yu, J Wang, AY Gao, W Li, L Bin, C Finn, ... Advances in Neural Information Processing Systems 35, 36902-36913, 2022 | 19* | 2022 |
| Fast adaptation with meta-reinforcement learning for trust modelling in human-robot interaction Y Gao, E Sibirtseva, G Castellano, D Kragic 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 18 | 2019 |
| Multilevel hierarchical network with multiscale sampling for video question answering M Peng, C Wang, Y Gao, Y Shi, XD Zhou arXiv preprint arXiv:2205.04061, 2022 | 14 | 2022 |
| Less is more: Learning more with concurrent transmissions for energy-efficient flooding P Zhang, AY Gao, O Theel Proceedings of the 14th EAI International Conference on Mobile and …, 2017 | 14 | 2017 |
| A dataset of human and robot approach behaviors into small free-standing conversational groups F Yang, Y Gao, R Ma, S Zojaji, G Castellano, C Peters PloS one 16 (2), e0247364, 2021 | 12 | 2021 |
| Effects of posture and embodiment on social distance in human-agent interaction in mixed reality C Li, T Androulakaki, AY Gao, F Yang, H Saikia, C Peters, G Skantze Proceedings of the 18th International Conference on Intelligent Virtual …, 2018 | 9 | 2018 |
| Investigating deep learning approaches for human-robot proxemics Y Gao, S Wallkötter, M Obaid, G Castellano 2018 27th IEEE international symposium on robot and human interactive …, 2018 | 9 | 2018 |
| Bandit learning with concurrent transmissions for energy-efficient flooding in sensor networks P Zhang, AY Gao, O Theel EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 4 (13), 2018 | 7 | 2018 |
| Officehours: A system for student supervisor matching through reinforcement learning Y Gao, K Ilves, D Głowacka Proceedings of the 20th International Conference on Intelligent User …, 2015 | 7 | 2015 |
| Recognizing micro-expression in video clip with adaptive key-frame mining M Peng, C Wang, Y Gao, T Bi, T Chen, Y Shi, XD Zhou arXiv preprint arXiv:2009.09179, 2020 | 6 | 2020 |
| MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning J Chen, F Deng, Y Gao, J Hu, X Guo, G Liang, TL Lam arXiv preprint arXiv:2209.13760, 2022 | 4 | 2022 |
| AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth C Wang, Y Gao, C Fan, J Hu, TL Lam, ND Lane, N Bianchi-Berthouze arXiv preprint arXiv:2109.03596, 2021 | 4 | 2021 |
Ginevra CastellanoProfessor at Uppsala UniversityVerified email at it.uu.se
