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Career

· Doctor of Philosophy - PhD, Computer Science, 美国斯坦福大学2018–2023

Publications (51)

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
AAAI Conference on Artificial Intelligence · 2016
2,525
cited
MOPO: Model-based Offline Policy Optimization
Neural Information Processing Systems · 2020
872
cited
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
International Conference on Learning Representations · 2022
652
cited
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2017
647
cited
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration
Knowledge Discovery and Data Mining · 2017
159
cited
Multi-Agent Adversarial Inverse Reinforcement Learning
International Conference on Machine Learning · 2019
159
cited
Understanding Self-supervised Learning with Dual Deep Networks
arXiv.org · 2020
86
cited
Lipschitz Generative Adversarial Nets
International Conference on Machine Learning · 2019
84
cited
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Neural Information Processing Systems · 2019
78
cited
Deep Reinforcement Learning for Green Security Games with Real-Time Information
AAAI Conference on Artificial Intelligence · 2018
74
cited
Training Deep Energy-Based Models with f-Divergence Minimization
International Conference on Machine Learning · 2020
48
cited
A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems · 2017
41
cited
Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model
IEEE Robotics and Automation Letters · 2021
29
cited
A General Recipe for Likelihood-free Bayesian Optimization
International Conference on Machine Learning · 2022
29
cited
CoT: Cooperative Training for Generative Modeling of Discrete Data
International Conference on Machine Learning · 2018
27
cited
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
AAAI Conference on Artificial Intelligence · 2023
25
cited
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
The Compass · 2018
19
cited
CoT: Cooperative Training for Generative Modeling
arXiv.org · 2018
18
cited
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
European Conference on Artificial Intelligence · 2019
18
cited
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI Conference on Artificial Intelligence · 2020
17
cited
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Lantao Yu | Researcher Profile | Sotabase | Sotabase