Junming Yin

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 16

Top Topics

Hierarchical Dirichlet Process

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation. CoRR (2022)
Fang Kong, Junming Yin, Shuai Li
Thompson Sampling for Bandit Learning in Matching Markets. CoRR (2022)
Fang Kong, Junming Yin, Shuai Li
Thompson Sampling for Bandit Learning in Matching Markets. IJCAI (2022)
Zilong Wang, Liya Guo, Junming Yin, Shuai Li
Bandit Learning in Many-to-One Matching Markets. CIKM (2022)
Junming Yin, Jerry Luo, Susan A. Brown
Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach. Inf. Syst. Res. 32 (3) (2021)
Xi Wang, Junming Yin
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models. UAI (2020)
Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR (2019)
Weifeng Li, Junming Yin, Hsinchun Chen
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications. IEEE Trans. Knowl. Data Eng. 30 (6) (2018)
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract). ICDE (2017)
Junming Yin, Yaoliang Yu
Convex-constrained Sparse Additive Modeling and Its Extensions. UAI (2017)
Junming Yin, Yaoliang Yu
Convex-constrained Sparse Additive Modeling and Its Extensions. CoRR (2017)
Qirong Ho, Junming Yin, Eric P. Xing
Latent Space Inference of Internet-Scale Networks. J. Mach. Learn. Res. 17 (2016)
Weifeng Li, Junming Yin, Hsinchun Chen
Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model. ICIS (2016)
Micol Marchetti-Bowick, Junming Yin, Judie A. Howrylak, Eric P. Xing
A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits. Bioinform. 32 (19) (2016)
Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 28 (10) (2016)
Weifeng Li, Junming Yin, Hsinchun Chen
Targeting key data breach services in underground supply chain. ISI (2016)
Junming Yin, Qirong Ho, Eric P. Xing
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks. NIPS (2013)
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
Petuum: A Framework for Iterative-Convergent Distributed ML. CoRR (2013)
Junming Yin, Xi Chen, Eric P. Xing
Group Sparse Additive Models. ICML (2012)
Ross E. Curtis, Junming Yin, Peter Kinnaird, Eric P. Xing
Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap. Pacific Symposium on Biocomputing (2012)
Junming Yin, Xi Chen, Eric P. Xing
Group Sparse Additive Models CoRR (2012)
Qirong Ho, Junming Yin, Eric P. Xing
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks. NIPS (2012)
Junming Yin, Michael I. Jordan, Yun S. Song
Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data. Bioinform. 25 (12) (2009)