Junming Yin

According to our database, Junming Yin authored at least 21 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation.

Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin

CoRR, 2022

Thompson Sampling for Bandit Learning in Matching Markets.

Fang Kong, Junming Yin, Shuai Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bandit Learning in Many-to-One Matching Markets.

Zilong Wang, Liya Guo, Junming Yin, Shuai Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach.

Junming Yin, Jerry Luo, Susan A. Brown

Inf. Syst. Res., 2021

2020

Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models.

Xi Wang, Junming Yin

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Deep Reinforcement Learning for Personalized Search Story Recommendation.

Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu

CoRR, 2019

2018

Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications.

Weifeng Li, Junming Yin, Hsinchun Chen

IEEE Trans. Knowl. Data Eng., 2018

2017

Convex-constrained Sparse Additive Modeling and Its Extensions.

Junming Yin, Yaoliang Yu

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract).

Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks.

Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan

IEEE Trans. Knowl. Data Eng., 2016

Latent Space Inference of Internet-Scale Networks.

Qirong Ho, Junming Yin, Eric P. Xing

J. Mach. Learn. Res., 2016

A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits.

Micol Marchetti-Bowick, Junming Yin, Judie A. Howrylak, Eric P. Xing

Bioinform., 2016

Targeting key data breach services in underground supply chain.

Weifeng Li, Junming Yin, Hsinchun Chen

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model.

Weifeng Li, Junming Yin, Hsinchun Chen

Proceedings of the International Conference on Information Systems, 2016

2013

Petuum: A Framework for Iterative-Convergent Distributed ML.

Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing

CoRR, 2013

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.

Junming Yin, Qirong Ho, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap.

Ross E. Curtis, Junming Yin, Peter Kinnaird, Eric P. Xing

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks.

Qirong Ho, Junming Yin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Group Sparse Additive Models.

Junming Yin, Xi Chen, Eric P. Xing

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Computational Methods for Meiotic Recombination Inference.

Junming Yin

PhD thesis, 2010

2009

Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data.

Junming Yin, Michael I. Jordan, Yun S. Song

Bioinform., 2009