Xun Zheng

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 10

Top Topics

Continuous Optimization

Top Venues

Publications

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
Role of the AlGaN Cap Layer on the Trapping Behaviour of N-Polar GaN MISHEMTs. IRPS (2021)
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
Learning Sparse Nonparametric DAGs. AISTATS (2020)
Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang, Jimmy Lin
SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter. KDD (2020)
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
Learning Sparse Nonparametric DAGs. CoRR (2019)
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
Virtual-Source Modeling of N-polar GaN MISHEMTS. BCICTS (2019)
Sung-En Chang, Xun Zheng, Ian En-Hsu Yen, Pradeep Ravikumar, Rose Yu
Learning Tensor Latent Features. CoRR (2018)
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
DAGs with NO TEARS: Smooth Optimization for Structure Learning. CoRR (2018)
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
DAGs with NO TEARS: Continuous Optimization for Structure Learning. NeurIPS (2018)
Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola
State Space LSTM Models with Particle MCMC Inference. CoRR (2017)
Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing
STRADS: a distributed framework for scheduled model parallel machine learning. EuroSys (2016)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1 (2) (2015)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD (2015)
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Po Xing, Tie-Yan Liu, Wei-Ying Ma
LightLDA: Big Topic Models on Modest Computer Clusters. WWW (2015)
Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric P. Xing
Minimizing Nonconvex Non-Separable Functions. AISTATS (2015)
Xun Zheng, Yaoliang Yu, Eric P. Xing
Linear Time Samplers for Supervised Topic Models using Compositional Proposals. KDD (2015)
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
LightLDA: Big Topic Models on Modest Compute Clusters. CoRR (2014)
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
Primitives for Dynamic Big Model Parallelism. CoRR (2014)
Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing
Model-Parallel Inference for Big Topic Models. CoRR (2014)
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. NIPS (2014)
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)
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR (2013)
Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang
Scalable inference in max-margin topic models. KDD (2013)
Jun Zhu, Xun Zheng, Bo Zhang
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. CoRR (2013)
Jun Zhu, Xun Zheng, Bo Zhang
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. ACL (1) (2013)
Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang
Scalable Inference for Logistic-Normal Topic Models. NIPS (2013)
Xiaoming Xu, Keping Li, Xun Zheng, Le Zhao
China's railways energy saving: Current status and development trends. SOLI (2012)
Shuang Li, Hongtao Sun, Xun Zheng
A Case Study on Design of Teacher Peer-Coaching Activities Supported by a Web 2.0 Community. ICHL (2011)