Lei Han
Lei Han
Tencent Robotics X & Tencent AI Lab
Verified email at - Homepage
Cited by
Cited by
Action2Activity: recognizing complex activities from sensor data
Y Liu, L Nie, L Han, L Zhang, DS Rosenblum
arXiv preprint arXiv:1611.01872, 2016
Gated fully fusion for semantic segmentation
X Li, H Zhao, L Han, Y Tong, S Tan, K Yang
Proceedings of the AAAI conference on artificial intelligence 34 (07), 11418 …, 2020
Liir: Learning individual intrinsic reward in multi-agent reinforcement learning
Y Du, L Han, M Fang, J Liu, T Dai, D Tao
Advances in Neural Information Processing Systems 32, 2019
Parametrized deep q-networks learning: Reinforcement learning with discrete-continuous hybrid action space
J Xiong, Q Wang, Z Yang, P Sun, L Han, Y Zheng, H Fu, T Zhang, J Liu, ...
arXiv preprint arXiv:1810.06394, 2018
Curriculum-guided hindsight experience replay
M Fang, T Zhou, Y Du, L Han, Z Zhang
Advances in neural information processing systems 32, 2019
Exponentially Weighted Imitation Learning for Batched Historical Data
Q Wang, J Xiong, L Han, P Sun, H Liu, T Zhang
The Thirty-second Annual Conference on Neural Information Processing Systems …, 2018
Tstarbots: Defeating the cheating level builtin ai in starcraft ii in the full game
P Sun, X Sun, L Han, J Xiong, Q Wang, B Li, Y Zheng, J Liu, Y Liu, H Liu, ...
arXiv preprint arXiv:1809.07193, 2018
Learning multi-level task groups in multi-task learning
L Han, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Learning tree structure in multi-task learning
L Han, Y Zhang
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Multi-Stage Multi-Task Learning with Reduced Rank
L Han, Y Zhang
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Grid-wise control for multi-agent reinforcement learning in video game ai
L Han, P Sun, Y Du, J Xiong, Q Wang, X Sun, H Liu, T Zhang
International Conference on Machine Learning, 2576-2585, 2019
Encoding tree sparsity in multi-task learning: A probabilistic framework
L Han, Y Zhang, G Song, K Xie
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Local uncertainty sampling for large-scale multiclass logistic regression
L Han, KM Tan, T Yang, T Zhang
Principled exploration via optimistic bootstrapping and backward induction
C Bai, L Wang, L Han, J Hao, A Garg, P Liu, Z Wang
International Conference on Machine Learning, 577-587, 2021
Tstarbot-x: An open-sourced and comprehensive study for efficient league training in starcraft ii full game
L Han, J Xiong, P Sun, X Sun, M Fang, Q Guo, Q Chen, T Shi, H Yu, X Wu, ...
arXiv preprint arXiv:2011.13729, 2020
Overlapping decomposition for causal graphical modeling
L Han, G Song, G Cong, K Xie
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Rethinking goal-conditioned supervised learning and its connection to offline rl
R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang
arXiv preprint arXiv:2202.04478, 2022
Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A (H1N1) virus using mutations and variations in glycosylation of Hemagglutinin
L Li, D Chang, L Han, X Zhang, J Zaia, XF Wan
BMC bioinformatics 21, 1-22, 2020
Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A (H3N2) virus
L Han, L Li, F Wen, L Zhong, T Zhang, XF Wan
Bioinformatics 35 (1), 77-87, 2019
Dynamic bottleneck for robust self-supervised exploration
C Bai, L Wang, L Han, A Garg, J Hao, P Liu, Z Wang
Advances in Neural Information Processing Systems 34, 17007-17020, 2021
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