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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. The 31st AAAI conference on Artificial Intelligence. AAAI 2017.
A Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors’ Demonstration
Lantao Yu*, Xuejian Wang*(equal contribution), Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang. The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2017.
A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Lantao Yu*, Yaodong Yang*, Yiwei Bai*(equal contribution), Jun Wang, Weinan Zhang, Ying Wen, Yong Yu. The 17th International Conference on Autonomous Agents and Multi-Agent Systems. AAMAS 2018.
Deep Reinforcement Learning for Green Security Game with Online Information
Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa and Fei Fang. AAAI-18 Artificial Intelligence for Imperfect-Information Games Workshop.
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang, Yong Yu. The 36th International Conference on Machine Learning. ICML 2019.
Variational Bottleneck Domain Adaptation
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu. In submission to IJCAI 2019.
Exploiting Real-World Data and Human Knowledge for Predicting Wildlife Poaching
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang. ACM SIGCAS Conference on Computing and Sustainable Societies. COMPASS 2018.
Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets
Zhiming Zhou, Yuxuan Song, Lantao Yu, Hongwei Wang, Zhihua Zhang, Weinan Zhang, Yong Yu. ArXiv 2018.
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang. The Thirty-Third AAAI Conference on Artificial Intelligence. AAAI 2019.
Lipschitz Generative Adversarial Nets
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang. The 36th International Conference on Machine Learning. ICML 2019.
Two improved Gauss-Seidel projection methods for Landau-Lifshitz-Gilbert equation
Panchi Li, Changjian Xie, Rui Du, Jingrun Chen and Xiaoping Wang.
Second-order semi-implicit projection methods for micromagnetics simulations
Changjian Xie, Carlos J. García-Cervera, Cheng Wang, Zhennan Zhou and Jingrun Chen.
A machine-learning method for time-dependent wave equations over unbounded domains
Changjian Xie, Xiantao Li and Jingrun Chen.
Convergence analysis of a second-order semi-implicit projection method for Landau-Lifshitz equation
Jingrun Chen, Cheng Wang, Changjian Xie.
A second-order numerical method for Landau-Lifshitz-Gilbert equation with large damping parameters
Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie.
Error analysis of a linear numerical scheme for the Landau-Lifshitz equation with large damping parameters
Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie.