Lantao Yu
Lantao Yu
Ph.D. Student, Computer Science Department, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Seqgan: sequence generative adversarial nets with policy gradient
L Yu, W Zhang, J Wang, Y Yu
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), 2017
10772017
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
J Wang, L Yu, W Zhang, Y Gong, Y Xu, B Wang, P Zhang, D Zhang
SIGIR 2017 (Best Paper Award Honorable Mention), 2017
2642017
A Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration
X Wang*, L Yu*, K Ren, G Tao, W Zhang, Y Yu, J Wang
23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), 2017
942017
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Y Wang, ZR Shi, L Yu, Y Wu, R Singh, L Joppa, F Fang
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2018
212018
Lipschitz Generative Adversarial Nets
Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang
36th International Conference on Machine Learning (ICML 2019), 2019
162019
A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Y Yang*, L Yu*, Y Bai*, Y Wen, W Zhang, J Wang
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
15*2018
Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets
Z Zhou, Y Song, L Yu, H Wang, J Liang, W Zhang, Z Zhang, Y Yu
arXiv preprint arXiv:1807.00751, 2018
14*2018
Cot: Cooperative training for generative modeling of discrete data
S Lu, L Yu, S Feng, Y Zhu, W Zhang, Y Yu
36th International Conference on Machine Learning (ICML 2019), 2018
14*2018
Multi-Agent Adversarial Inverse Reinforcement Learning
L Yu, J Song, S Ermon
36th International Conference on Machine Learning (ICML 2019), 2019
102019
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
S Gurumurthy, L Yu, C Zhang, Y Jin, W Li, H Zhang, F Fang
ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018), 2018
52018
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
L Yu*, T Yu*, C Finn, S Ermon
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
32019
Training Deep Energy-Based Models with f-Divergence Minimization
L Yu, Y Song, J Song, S Ermon
36th International Conference on Machine Learning (ICML 2019), 2020
12020
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang, Y Yu
The 24th European Conference on Artificial Intelligence (ECAI 2020), 2019
12019
Deep Reinforcement Learning for Green Security Game with Online Information
L Yu, Y Wu, R Singh, L Joppa, F Fang
The AAAI 2018 Artificial Intelligence for Imperfect-Information Games Workshop, 2017
12017
MOPO: Model-based Offline Policy Optimization
T Yu, G Thomas, L Yu, S Ermon, J Zou, S Levine, C Finn, T Ma
arXiv preprint arXiv:2005.13239, 2020
2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Y Song, N Miao, H Zhou, L Yu, M Wang, L Li
23rd International Conference on Artificial Intelligence and Statistics …, 2020
2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2019
2019
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