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Xun Zheng
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2020 – today
- 2021
- [b1]Xun Zheng:
Learning DAGs with Continuous Optimization. Carnegie Mellon University, USA, 2021 - [c16]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: 1-2 - 2020
- [c15]Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing:
Learning Sparse Nonparametric DAGs. AISTATS 2020: 3414-3425 - [c14]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: 3183-3193
2010 – 2019
- 2019
- [c13]Rohit R. Karnaty, Umesh K. Mishra, James F. Buckwalter, Matthew Guidry, Pawana Shrestha, Brian Romanczyk, Nirupam Hatui
Virtual-Source Modeling of N-polar GaN MISHEMTS. BCICTS 2019: 1-4 - [i10]Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing:
Learning Sparse Nonparametric DAGs. CoRR abs/1909.13189 (2019) - 2018
- [c12]Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing:
DAGs with NO TEARS: Continuous Optimization for Structure Learning. NeurIPS 2018: 9492-9503 - [i9]Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing:
DAGs with NO TEARS: Smooth Optimization for Structure Learning. CoRR abs/1803.01422 (2018) - [i8]Sung-En Chang, Xun Zheng, Ian En-Hsu Yen, Pradeep Ravikumar, Rose Yu:
Learning Tensor Latent Features. CoRR abs/1810.04754 (2018) - 2017
- [i7]Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric P. Xing, Alexander J. Smola:
State Space LSTM Models with Particle MCMC Inference. CoRR abs/1711.11179 (2017) - 2016
- [c11]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: 5:1-5:16 - 2015
- [j1]Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1(2): 49-67 (2015) - [c10]Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric P. Xing:
Minimizing Nonconvex Non-Separable Functions. AISTATS 2015 - [c9]Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD 2015: 1335-1344 - [c8]Xun Zheng, Yaoliang Yu, Eric P. Xing:
Linear Time Samplers for Supervised Topic Models using Compositional Proposals. KDD 2015: 1523-1532 - [c7]Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma:
LightLDA: Big Topic Models on Modest Computer Clusters. WWW 2015: 1351-1361 - 2014
- [c6]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: 2834-2842 - [i6]Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing:
Primitives for Dynamic Big Model Parallelism. CoRR abs/1406.4580 (2014) - [i5]Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing:
Model-Parallel Inference for Big Topic Models. CoRR abs/1411.2305 (2014) - [i4]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 abs/1412.1576 (2014) - 2013
- [c5]Jun Zhu, Xun Zheng, Bo Zhang:
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. ACL (1) 2013: 187-195 - [c4]Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang:
Scalable inference in max-margin topic models. KDD 2013: 964-972 - [c3]Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang:
Scalable Inference for Logistic-Normal Topic Models. NIPS 2013: 2445-2453 - [i3]Jun Zhu, Xun Zheng, Bo Zhang:
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation. CoRR abs/1310.2408 (2013) - [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) - [i1]Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing:
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR abs/1312.7869 (2013) - 2012
- [c2]Xiaoming Xu, Keping Li, Xun Zheng, Le Zhao:
China's railways energy saving: Current status and development trends. SOLI 2012: 246-251 - 2011
- [c1]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: 40-50
Coauthor Index
aka: Eric Poe Xing
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