Xun Zheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
5
Active years
2013–2020
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | AISTATS | Learning Sparse Nonparametric DAGs. | Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing |
| 2020 | KDD | SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter. | Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin |
| 2016 | EuroSys | STRADS: a distributed framework for scheduled model parallel machine learning. | Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing |
| 2015 | AISTATS | Minimizing Nonconvex Non-Separable Functions. | Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric P. Xing |
| 2015 | KDD | Petuum: A New Platform for Distributed Machine Learning on Big Data. | Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu |
| 2015 | KDD | Linear Time Samplers for Supervised Topic Models using Compositional Proposals. | Xun Zheng, Yaoliang Yu, Eric P. Xing |
| 2015 | WWW | LightLDA: Big Topic Models on Modest Computer Clusters. | Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma |
| 2013 | ACL | Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. | Jun Zhu, Xun Zheng, Bo Zhang |
| 2013 | KDD | Scalable inference in max-margin topic models. | Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang |