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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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Posts
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publications
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.
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang and Dell Zhang. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2017. Best Paper Award Honorable Mention
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.
Evaluating the Cloude-Pottier Decomposition for Crop Classification using Multi-Temporal RADARSAT-2 Data
Mustafa Ustuner, Fusun Balik Sanli, Saygin Abdikan, Esra Erten, Carlos Lopez Martinez. The 9th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry.
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.
Comparison of Object and Pixel-Based Classifications for Mapping Crops using Rapideye Imagery: A Case Study of Menemen Plain, Turkey
Mustafa Tolga Esetlili, Filiz Bektas Balcik, Fusun Balik Sanli, Kaan Kalkan, Mustafa Ustuner, Cigdem Goksel, Cem Gazioglu and Yusuf Kurucu, “Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey,” International Journal of Environment and Geoinformatics, vol. 5, no. 2, pp. 231–243, Aug. 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.
Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage
Rouhollah Nasirzadehdizaji, Fusun Balik Sanli, Saygin Abdikan, Ziyadin Cakir, Ali Ihsan Sekertekin, Mustafa Ustuner. Applied Sciences, vol. 9, no. 4, p. 655, Feb. 2019.
Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation
M. Ustuner and F. Balik Sanli, “Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation,” ISPRS International Journal of Geo-Information, vol. 8, no. 2, p. 97, Feb. 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.
An Assessment of Urban Area Extraction Using ALOS-2 Data
S. Abdikan, C. Bayik, F. B. Sanli and M. Ustuner, "An Assessment of Urban Area Extraction Using ALOS-2 Data," 2019 9th International Conference on Recent Advances in Space Technologies (RAST), Istanbul, Turkey, 2019, pp. 403-406.
A Booster Analysis of Extreme Gradient Boosting for Crop Classification using PolSAR Imagery
M. Ustuner, F. B. Sanli, S. Abdikan, G. Bilgin and C. Goksel, "A Booster Analysis of Extreme Gradient Boosting for Crop Classification using PolSAR Imagery," 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Istanbul, Turkey, 2019, pp. 1-4
Variational Bottleneck Domain Adaptation
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu. ECAI 2020.