Runsheng Yu
Runsheng Yu
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Cited by
Image-adaptive YOLO for object detection in adverse weather conditions
W Liu, G Ren, R Yu, S Guo, J Zhu, L Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1792-1800, 2022
Deep reinforcement learning based optimal trajectory tracking control of autonomous underwater vehicle
R Yu, Z Shi, C Huang, T Li, Q Ma
2017 36th Chinese control conference (CCC), 4958-4965, 2017
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
Deepexposure: Learning to expose photos with asynchronously reinforced adversarial learning
R Yu, W Liu, Y Zhang, Z Qu, D Zhao, B Zhang
Advances in neural information processing systems 31, 2018
Personalized adaptive meta learning for cold-start user preference prediction
R Yu, Y Gong, X He, Y Zhu, Q Liu, W Ou, B An
Proceedings of the AAAI conference on artificial intelligence 35 (12), 10772 …, 2021
Rmix: Learning risk-sensitive policies for cooperative reinforcement learning agents
W Qiu, X Wang, R Yu, R Wang, X He, B An, S Obraztsova, Z Rabinovich
Advances in Neural Information Processing Systems 34, 23049-23062, 2021
Learning to collaborate in multi-module recommendation via multi-agent reinforcement learning without communication
X He, B An, Y Li, H Chen, R Wang, X Wang, R Yu, X Li, Z Wang
Proceedings of the 14th ACM Conference on Recommender Systems, 210-219, 2020
I2HRL: interactive influence-based hierarchical reinforcement learning
R Wang, R Yu, B An, Z Rabinovich
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Learning expensive coordination: An event-based deep RL approach
Z Shi, R Yu, X Wang, R Wang, Y Zhang, H Lai, B An
International Conference on Learning Representations, 2019
In silico design of MHC class I high binding affinity peptides through motifs activation map
Z Xiao, Y Zhang, R Yu, Y Chen, X Jiang, Z Wang, S Li
BMC bioinformatics 19, 13-24, 2018
Enhancing meta learning via multi-objective soft improvement functions
R Yu, W Chen, X Wang, J Kwok
The Eleventh International Conference on Learning Representations, 2022
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
APP Aung, X Wang, R Yu, B An, S Jayavelu, X Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Unsupervised learning aids prediction: Using future representation learning variantial autoencoder for human action prediction
L Yu, Runsheng and Shi, Zhenyu and Qing
CoRR, abs/1711.09265, 2017
Neural Regret-Matching for Distributed Constraint Optimization Problems.
Y Deng, R Yu, X Wang, B An
IJCAI, 146-153, 2021
Inducing cooperation via team regret minimization based multi-agent deep reinforcement learning
R Yu, Z Shi, X Wang, R Wang, B Liu, X Hou, H Lai, B An
arXiv preprint arXiv:1911.07712, 2019
Constraint-aware policy optimization to solve the vehicle routing problem with time windows
R Zhang, R Yu, W Xia
Information Technology and Control 51 (1), 126-138, 2022
Safe Coupled Deep Q-Learning for Recommendation Systems
R Yu, Y Gong, R Wang, B An, Q Liu, W Ou
OpenReview Preprint, 0
A Fast Similarity Matrix Calibration Method with Incomplete Query
C Ma, R Yu, Y Zhang
Proceedings of the ACM on Web Conference 2024, 1419-1430, 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
P Li, R Yu, X Wang, B An
Lookahead Sharpness-Aware Minimization
R Yu, Y Zhang, J Kwok
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