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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.
Information Bottleneck Inspired Method for Chat Text Segmentation
Vishal Sunder*, Mohit Yadav* (equal contribution), Lovekesh Vig, Gautam Shroff. The 8th International Joint Conference on Natural Language Processing. IJCNLP 2017.
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang, Yong Yu. In submission to ICLR 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. In submission to ICLR 2019.
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning
Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff. The 11th International Workshop on Automated Negotiations ACAN 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.
A Deep Learning Approach to Recurrent Event Survival Analysis with Competing Risks
Garima Gupata, Vishal Sunder, Ranjitha Prasad, Gautam Shroff. The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (to appear). PAKDD 2019.
One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis
Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul. The 14th International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI 2019.
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation
Vishal Sunder, Eric Fosler-Lussier Submitted to ICASSP-2021