Follow
Haiyan Yin
Haiyan Yin
Unknown affiliation
Verified email at sea.com - Homepage
Title
Cited by
Cited by
Year
Knowledge transfer for deep reinforcement learning with hierarchical experience replay
H Yin, S Pan
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1072017
Learning behavior patterns from video: A data-driven framework for agent-based crowd modeling
J Zhong, W Cai, L Luo, H Yin
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
572015
Mitigating forgetting in online continual learning with neuron calibration
H Yin, P Li
Advances in Neural Information Processing Systems 34, 10260-10272, 2021
342021
Interactive scenario generation for mission‐based virtual training
L Luo, H Yin, W Cai, M Lees, S Zhou
Computer Animation and Virtual Worlds 24 (3-4), 345-354, 2013
312013
A review of interactive narrative systems and technologies: a training perspective
L Luo, W Cai, S Zhou, M Lees, H Yin
Simulation 91 (2), 126-147, 2015
252015
Design and evaluation of a data-driven scenario generation framework for game-based training
L Luo, H Yin, W Cai, J Zhong, M Lees
IEEE Transactions on Computational Intelligence and AI in Games 9 (3), 213-226, 2016
242016
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
H Yin, D Li, X Li, P Li
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9466-9473, 2020
232020
A data-driven approach for online adaptation of game difficulty
H Yin, L Luo, W Cai, YS Ong, J Zhong
2015 IEEE conference on computational intelligence and games (CIG), 146-153, 2015
162015
Towards a data‐driven approach to scenario generation for serious games
L Luo, H Yin, W Cai, M Lees, NB Othman, S Zhou
Computer Animation and Virtual Worlds 25 (3-4), 393-402, 2014
142014
Reinforcement Learning with Efficient Active Feature Acquisition
H Yin, Y Li, SJ Pan, C Zhang, S Tschiatschek
arXiv preprint arXiv:2011.00825, 2020
102020
Mission-based scenario modeling and generation for virtual training
L Luo, H Yin, J Zhong, W Cai, M Lees, S Zhou
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2013
92013
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
H Yin, J Chen, SJ Pan, S Tschiatschek
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10700 …, 2021
72021
Hashing over predicted future frames for informed exploration of deep reinforcement learning
H Yin, J Chen, SJ Pan
arXiv preprint arXiv:1707.00524, 2017
72017
Causal Discovery with Flow-based Conditional Density Estimation
S Ren, H Yin, M Sun, P Li
2021 IEEE International Conference on Data Mining (ICDM), 1300-1305, 2021
52021
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning
H Yin, D Li, P Li
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
42022
Partially-observed sequential variational auto encoder
C Zhang, LI Yingzhen, S TSCHIATSCHEK, H Yin, J Kim
US Patent App. 17/002,771, 2021
32021
Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game
H Yin, L Luo, W Cai, J Zhong
2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015
22015
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning
L Luo, Y Li, H Yin, S Xie, R Hu, W Cai
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8984-8992, 2023
12023
Distributional Meta-Gradient Reinforcement Learning
H Yin, YAN Shuicheng, Z Xu
The Eleventh International Conference on Learning Representations, 2023
12023
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration
C Xiao, H Shi, J Fan, S Deng, H Yin
arXiv preprint arXiv:2105.03923, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20