引用次数
引用: 15,043
H-指数: 63
I10-指数 : 161
出版物: 256
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012
Max Kleiman-Weiner , Ian Soboroff , John R Frank , Feng Niu
text retrieval conference
62
2012
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference
Feng Niu , Ce Zhang , Christopher Ré , Jude W Shavlik
VLDS 25 -28
134
2012
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher M De Sa , Ce Zhang , Kunle Olukotun , Christopher Ré
arXiv: Learning
185
2015
Scaling Inference for Markov Logic with a Task-Decomposition Approach
Jude Shavlik , Feng Niu , Christopher R , Ce Zhang
arXiv: Artificial Intelligence
2012
Big Data versus the Crowd: Looking for Relationships in All the Right Places
Jude Shavlik , Feng Niu , Christopher Ré , Ce Zhang
meeting of the association for computational linguistics 825 -834
45
2012
An Approximate, Efficient LP Solver for LP Rounding
Srikrishna Sridhar , Stephen Wright , Christopher Re , Ji Liu
neural information processing systems 26 2895 -2903
10
2013
Parallel Feature Selection Inspired by Group Testing
Yingbo Zhou , Utkarsh Porwal , Ce Zhang , Hung Q Ngo
neural information processing systems 27 3554 -3562
21
2014
Bootstrapping Knowledge Base Acceleration
Tushar Khot , Ce Zhang , Jude W Shavlik , Sriraam Natarajan
text retrieval conference
2013
Rapidly mixing Gibbs sampling for a class of factor graphs using hierarchy width
Christopher M De Sa , Ce Zhang , Kunle Olukotun , Christopher Ré
neural information processing systems 28 3097 -3105
12
2015
Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries
Yuke Zhu , Ce Zhang , Christopher Ré , Li Fei-Fei
arXiv: Computer Vision and Pattern Recognition
61
2015
Understanding Tables in Context Using Standard NLP Toolkits
Vidhya Govindaraju , Ce Zhang , Christopher Ré ,
meeting of the association for computational linguistics 658 -664
25
2013
Evaluating Stream Filtering for Entity Profile Updates for TREC 2013.
Max Kleiman-Weiner , Ian Soboroff , Ellen M. Voorhees , John R. Frank
text retrieval conference
13
2013
Brainwash: A data system for feature engineering
Michael R Anderson , Dolan Antenucci , Victor Bittorf , Matthew Burgess
conference on innovative data systems research
144
2013
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Cho-Jui Hsieh , Huan Zhang , Xiangru Lian , Ji Liu
arXiv: Optimization and Control
818
2017
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
Dan Alistarh , Jerry Li , Kaan Kara , Ji Liu
international conference on machine learning 70 4035 -4043
91
2017
Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.
Dan Alistarh , Leo Tam , Demjan Grubic , Ce Zhang
extending database technology 145 -156
4
2018
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction
Ce Zhang , Nora Hollenstein , Jonathan Rotsztejn
arXiv: Computation and Language
37
2018
Communication Compression for Decentralized Training
Hanlin Tang , Ji Liu , Tong Zhang , Ce Zhang
neural information processing systems 31 7652 -7662
100
2018
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
Ji Liu , Jie Zhong , Ce Zhang , Bojan Karlaš
international conference on artificial intelligence and statistics 89 2829 -2838
3
2019