Wang, Wenlin

15 publications

AAAI 2021 Learning to Recommend from Sparse Data via Generative User Feedback Wenlin Wang

WACV 2021 Zero-Shot Recognition via Optimal Transport Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin

ICLR 2020 Collaborative Filtering with a Synthetic Feedback Loop Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin

AAAI 2020 Graph-Driven Generative Models for Heterogeneous Multi-Task Learning Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

AISTATS 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin

AAAI 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin

NeurIPS 2019 Certified Adversarial Robustness with Additive Noise Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

NeurIPS 2019 Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

NeurIPS 2019 Ouroboros: On Accelerating Training of Transformer-Based Language Models Qian Yang, Zhouyuan Huo, Wenlin Wang, Lawrence Carin

UAI 2018 A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen

ICML 2018 Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin Duke

NeurIPS 2018 Distilled Wasserstein Learning for Word Embedding and Topic Modeling Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin

AISTATS 2018 Topic Compositional Neural Language Model Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

AAAI 2018 Zero-Shot Learning via Class-Conditioned Deep Generative Models Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

ECML-PKDD 2016 Deep Metric Learning with Data Summarization Wenlin Wang, Changyou Chen, Wenlin Chen, Piyush Rai, Lawrence Carin