Jian Zhang

Affiliations:
  • Stanford University, Department of Computer Science, Stanford, CA, USA
  • ETH Zurich, Switzerland (2013 - 2015)
  • Tsinghua University, Beijing, China (2009 - 2013)


According to our database1, Jian Zhang authored at least 19 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
PipeMare: Asynchronous Pipeline Parallel DNN Training.
Proceedings of Machine Learning and Systems 2021, 2021

2020
Revisiting BFloat16 Training.
CoRR, 2020

Understanding the Downstream Instability of Word Embeddings.
Proceedings of Machine Learning and Systems 2020, 2020

Contextual Embeddings: When Are They Worth It?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Understanding and optimizing the statistical performance of machine learning models under memory budgets.
PhD thesis, 2019

Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.
ACM SIGOPS Oper. Syst. Rev., 2019

Low-Memory Neural Network Training: A Technical Report.
CoRR, 2019

On the Downstream Performance of Compressed Word Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

YellowFin and the Art of Momentum Tuning.
Proceedings of Machine Learning and Systems 2019, 2019

Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
High-Accuracy Low-Precision Training.
CoRR, 2018

Exploring the Utility of Developer Exhaust.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

2017
YellowFin and the Art of Momentum Tuning.
CoRR, 2017

Deep learning at 15PF: supervised and semi-supervised classification for scientific data.
Proceedings of the International Conference for High Performance Computing, 2017

2016
Parallel SGD: When does averaging help?
CoRR, 2016

SQuAD: 100, 000+ Questions for Machine Comprehension of Text.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Higher-Order Inference for Multi-class Log-Supermodular Models.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors.
Proceedings of the IEEE International Conference on Computer Vision, 2013


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