259 citations · 284 across the 8 of their papers we have counts for
8 papers
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation
Peining Zhang, Junliang Guo, Linli Xu +2
We consider a novel task of automatically generating text descriptions of music. Compared with other well-established text generation tasks such as image caption, the scarcity of w…
Thompson Sampling for Bandit Learning in Matching Markets
Fang Kong, Junming Yin, Shuai Li
The problem of two-sided matching markets has a wide range of real-world applications and has been extensively studied in the literature. A line of recent works have focused on the…
Deep Reinforcement Learning for Personalized Search Story Recommendation
Jason, Zhang, Junming Yin +2
In recent years, \emph{search story}, a combined display with other organic channels, has become a major source of user traffic on platforms such as e-commerce search platforms, ne…
Multi-Label Annotation Aggregation in Crowdsourcing
Xuan Wei, Daniel Dajun Zeng, Junming Yin
As a means of human-based computation, crowdsourcing has been widely used to annotate large-scale unlabeled datasets. One of the obvious challenges is how to aggregate these possib…
Convex-constrained Sparse Additive Modeling and Its Extensions
Junming Yin, Yaoliang Yu
Sparse additive modeling is a class of effective methods for performing high-dimensional nonparametric regression. In this work we show how shape constraints such as convexity/conc…
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting
Abhimanu Kumar, Pengtao Xie, Junming Yin +1
We propose a distributed approach to train deep neural networks (DNNs), which has guaranteed convergence theoretically and great scalability empirically: close to 6 times faster on…
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization
Linhong Zhu, Dong Guo, Junming Yin +2
We propose a scalable temporal latent space model for link prediction in dynamic social networks, where the goal is to predict links over time based on a sequence of previous graph…
Group Sparse Additive Models
Junming Yin, Xi Chen, Eric Xing
We consider the problem of sparse variable selection in nonparametric additive models, with the prior knowledge of the structure among the covariates to encourage those variables w…