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2020 – today
- 2022
[c11]Zilong Wang, Liya Guo, Junming Yin, Shuai Li:
Bandit Learning in Many-to-One Matching Markets. CIKM 2022: 2088-2097- [c10]Fang Kong, Junming Yin, Shuai Li:
Thompson Sampling for Bandit Learning in Matching Markets. IJCAI 2022: 3164-3170 - [i6]Fang Kong, Junming Yin, Shuai Li:
Thompson Sampling for Bandit Learning in Matching Markets. CoRR abs/2204.12048 (2022) - [i5]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 abs/2209.01996 (2022) - 2021
- [j6]Junming Yin
, Jerry Luo, Susan A. Brown:
Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach. Inf. Syst. Res. 32(3): 752-773 (2021) - 2020
- [c9]Xi Wang, Junming Yin:
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models. UAI 2020: 500-509
2010 – 2019
- 2019
- [i4]Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu:
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR abs/1907.11754 (2019) - 2018
- [j5]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): 1192-1205 (2018) - 2017
- [c8]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: 57-58 - [c7]Junming Yin, Yaoliang Yu:
Convex-constrained Sparse Additive Modeling and Its Extensions. UAI 2017 - [i3]Junming Yin, Yaoliang Yu:
Convex-constrained Sparse Additive Modeling and Its Extensions. CoRR abs/1705.00687 (2017) - 2016
- [j4]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): 2903-2910 (2016) - [j3]Qirong Ho, Junming Yin, Eric P. Xing:
Latent Space Inference of Internet-Scale Networks. J. Mach. Learn. Res. 17: 78:1-78:41 (2016) - [j2]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): 2765-2777 (2016) - [c6]Weifeng Li, Junming Yin, Hsinchun Chen:
Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model. ICIS 2016 - [c5]Weifeng Li, Junming Yin, Hsinchun Chen:
Targeting key data breach services in underground supply chain. ISI 2016: 322-324 - 2013
- [c4]Junming Yin, Qirong Ho, Eric P. Xing:
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks. NIPS 2013: 422-430 - [i2]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 abs/1312.7651 (2013) - 2012
- [c3]Junming Yin, Xi Chen, Eric P. Xing:
Group Sparse Additive Models. ICML 2012 - [c2]Qirong Ho, Junming Yin, Eric P. Xing:
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks. NIPS 2012: 2141-2149 - [c1]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: 327-338 - [i1]Junming Yin, Xi Chen, Eric P. Xing:
Group Sparse Additive Models. CoRR abs/1206.4673 (2012) - 2010
- [b1]Junming Yin:
Computational Methods for Meiotic Recombination Inference. University of California, Berkeley, USA, 2010
2000 – 2009
- 2009
- [j1]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)
Coauthor Index
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