A Case Study on Design of Teacher Peer-Coaching Activities Supported by a Web 2.0 Community. - Shuang Li; Hongtao Sun; Xun Zheng (ICHL, 2011)

China's railways energy saving: Current status and development trends. - Xiaoming Xu; Keping Li; Xun Zheng; Le Zhao (SOLI, 2012)

Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. - Jun Zhu 001; Xun Zheng; Bo Zhang 010 (ACL (1), 2013)

Scalable inference in max-margin topic models. - Jun Zhu 001; Xun Zheng; Li Zhou 006; Bo Zhang 010 (KDD, 2013)

Scalable Inference for Logistic-Normal Topic Models. - Jianfei Chen 001; Jun Zhu 001; Zi Wang; Xun Zheng; Bo Zhang 010 (NIPS, 2013)

Petuum: A Framework for Iterative-Convergent Distributed ML. - Wei Dai 003; Jinliang Wei; Xun Zheng; Jin Kyu Kim; Seunghak Lee; Junming Yin; Qirong Ho; Eric P. Xing (CoRR, 2013)

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. - Jinliang Wei; Wei Dai 003; Abhimanu Kumar; Xun Zheng; Qirong Ho; Eric P. Xing (CoRR, 2013)

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (NIPS, 2014)

Primitives for Dynamic Big Model Parallelism. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2014)

LightLDA: Big Topic Models on Modest Compute Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric P. Xing; Tie-Yan Liu; Wei-Ying Ma (CoRR, 2014)

Model-Parallel Inference for Big Topic Models. - Xun Zheng; Jin Kyu Kim; Qirong Ho; Eric P. Xing (CoRR, 2014)

Minimizing Nonconvex Non-Separable Functions. - Yaoliang Yu; Xun Zheng; Micol Marchetti-Bowick; Eric P. Xing (AISTATS, 2015)

Linear Time Samplers for Supervised Topic Models using Compositional Proposals. - Xun Zheng; Yaoliang Yu; Eric P. Xing (KDD, 2015)

LightLDA: Big Topic Models on Modest Computer Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric Poe Xing; Tie-Yan Liu; Wei-Ying Ma (WWW, 2015)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

STRADS: a distributed framework for scheduled model parallel machine learning. - Jin Kyu Kim; Qirong Ho; Seunghak Lee; Xun Zheng; Wei Dai 003; Garth A. Gibson; Eric P. Xing (EuroSys, 2016)

State Space LSTM Models with Particle MCMC Inference. - Xun Zheng; Manzil Zaheer; Amr Ahmed 001; Yuan Wang; Eric P. Xing; Alexander J. Smola (CoRR, 2017)

DAGs with NO TEARS: Continuous Optimization for Structure Learning. - Xun Zheng; Bryon Aragam; Pradeep Ravikumar; Eric P. Xing (NeurIPS, 2018)

DAGs with NO TEARS: Smooth Optimization for Structure Learning. - Xun Zheng; Bryon Aragam; Pradeep Ravikumar; Eric P. Xing (CoRR, 2018)

Learning Tensor Latent Features. - Sung-En Chang; Xun Zheng; Ian En-Hsu Yen; Pradeep Ravikumar; Rose Yu (CoRR, 2018)

Virtual-Source Modeling of N-polar GaN MISHEMTS. - 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 (BCICTS, 2019)

Learning Sparse Nonparametric DAGs. - Xun Zheng; Chen Dan 001; Bryon Aragam; Pradeep Ravikumar; Eric P. Xing (AISTATS, 2020)

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 (KDD, 2020)

Role of the AlGaN Cap Layer on the Trapping Behaviour of N-Polar GaN MISHEMTs. - 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; et al. (IRPS, 2021)

Learning DAGs with Continuous Optimization. - Xun Zheng (2021)