Xun Zheng

28 papers A* 6A 3Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2021 — —
Learning DAGs with Continuous Optimization.
Xun Zheng
2021 — conf
Role of the AlGaN Cap Layer on the Trapping Behaviour of N-Polar GaN MISHEMTs.
IRPS
Francesca Chiocchetta, Claudia Calascione, Carlo De Santi, Chandan Sharma, Fabiana Rampazzo, Xun Zheng, Brian Romanczyk, Matthew Guidry, Haoran Li, Stacia Keller, Umesh K. Mishra, Gaudenzio Meneghesso, Matteo Meneghini, Enrico Zanoni
2020 A conf
Learning Sparse Nonparametric DAGs.
AISTATS
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2020 A* conf
SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter.
KDD
Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin
2019 J jnl
Learning Sparse Nonparametric DAGs.
CoRR
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2019 — conf
Virtual-Source Modeling of N-polar GaN MISHEMTS.
BCICTS
Rohit R. Karnaty, Umesh K. Mishra, James F. Buckwalter, Matthew Guidry, Pawana Shrestha, Brian Romanczyk, Nirupam Hatui, Xun Zheng, Christian Wurm, Haoran Li, Stacia Keller
2018 A* conf
DAGs with NO TEARS: Continuous Optimization for Structure Learning.
NeurIPS
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2018 J jnl
DAGs with NO TEARS: Smooth Optimization for Structure Learning.
CoRR
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2018 J jnl
Learning Tensor Latent Features.
CoRR
Sung-En Chang, Xun Zheng, Ian En-Hsu Yen, Pradeep Ravikumar, Rose Yu
2017 J jnl
State Space LSTM Models with Particle MCMC Inference.
CoRR
Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola
2016 A conf
STRADS: a distributed framework for scheduled model parallel machine learning.
EuroSys
Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing
2015 A* conf
LightLDA: Big Topic Models on Modest Computer Clusters.
WWW
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma
2015 A* conf
Linear Time Samplers for Supervised Topic Models using Compositional Proposals.
KDD
Xun Zheng, Yaoliang Yu, Eric P. Xing
2015 A conf
Minimizing Nonconvex Non-Separable Functions.
AISTATS
Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric P. Xing
2015 A* conf
Petuum: A New Platform for Distributed Machine Learning on Big Data.
KDD
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015 J jnl
Petuum: A New Platform for Distributed Machine Learning on Big Data.
IEEE Trans. Big Data
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2014 J jnl
LightLDA: Big Topic Models on Modest Compute Clusters.
CoRR
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
2014 J jnl
Model-Parallel Inference for Big Topic Models.
CoRR
Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing
2014 — conf
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning.
NIPS
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
2014 J jnl
Primitives for Dynamic Big Model Parallelism.
CoRR
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
2013 J jnl
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.
CoRR
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
2013 — conf
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
ACL (1)
Jun Zhu, Xun Zheng, Bo Zhang
2013 J jnl
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
CoRR
Jun Zhu, Xun Zheng, Bo Zhang
2013 J jnl
Petuum: A Framework for Iterative-Convergent Distributed ML.
CoRR
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
2013 — conf
Scalable Inference for Logistic-Normal Topic Models.
NIPS
Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang
2013 A* conf
Scalable inference in max-margin topic models.
KDD
Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang
2012 — conf
China's railways energy saving: Current status and development trends.
SOLI
Xiaoming Xu, Keping Li, Xun Zheng, Le Zhao
2011 — conf
A Case Study on Design of Teacher Peer-Coaching Activities Supported by a Web 2.0 Community.
ICHL
Shuang Li, Hongtao Sun, Xun Zheng