Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
International Conference on Learning Representations (ICLR), 2019
ICLR pdf bib@article{dai2018toward, title={Toward Understanding the Impact of Staleness in Distributed Machine Learning}, author={Dai, Wei and Zhou, Yi and Dong, Nanqing and Zhang, Hao and Xing, Eric P}, journal={ICLR}, year={2019} }
Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang and Eric P. Xing
Journal of Machine Learning Research, 2018
JMLR pdf bib@article{yi_jmlr18, Author = {Yi Zhou and Yingbin Liang and Yaoliang Yu and Wei Dai and Eric P. Xing}, Journal = {Journal of Machine Learning Research}, Number = {19}, Pages = {1-32}, Title = {Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters}, Url = {http://jmlr.org/papers/v19/17-444.html}, Volume = {19}, Year = {2018}}
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, and Eric P. Xing
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018
arXiv pdf bib@inproceedings{dong2018unsupervised, title={Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio}, author={Dong, Nanqing and Kampffmeyer, Michael and Liang, Xiaodan and Wang, Zeya and Dai, Wei and Xing, Eric}, booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages={544--552}, year={2018}, organization={Springer} }
Zeya Wang, Nanqing Dong, Wei Dai, Sean D Rosario and Eric P. Xing
International Conference on Image Analysis and Recognition (ICIAR), 2018. Oral Presentation
Springer bib@inproceedings{wang2018classification, title={Classification of breast cancer histopathological images using convolutional neural networks with hierarchical loss and global pooling}, author={Wang, Zeya and Dong, Nanqing and Dai, Wei and Rosario, Sean D and Xing, Eric P}, booktitle={International Conference Image Analysis and Recognition}, pages={745--753}, year={2018}, organization={Springer} }
Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing
USENIX ATC 2018
arXiv pdf bib@article{zhang2017cavs, title={Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks}, author={Zhang, Hao and Xu, Shizhen and Neubig, Graham and Dai, Wei and Ho, Qirong and Yang, Guangwen and Xing, Eric P}, journal={arXiv preprint arXiv:1712.04048}, year={2017}}
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
USENIX Annual Technical Conference (ATC), 2017. Oral Presentation
ATC pdf bib@inproceedings{zhang17poseidon, title={Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters}, author={Zhang, Hao and Zheng, Zeyu and Xu, Shizhen and Dai, Wei and Ho, Qirong and Liang, Xiaodan and Hu, Zhiting and Wei, Jinliang and Xie, Pengtao and Xing, Eric P.}, booktitle={Proceedings of the 2017 USENIX Conference on USENIX Annual Technical Conference, USENIX ATC}, year={2017}}
Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
International Conference on Computer Vision (ICCV), 2017
arXiv pdf bib@inproceedings{liang17dual, title={Dual Motion GAN for Future-Flow Embedded Video Prediction}, author={Liang, Xiaodan and Lee, Lisa and Dai, Wei and Xing, Eric P.}, booktitle={Proceedings of the IEEE International Conference on Computer Vision}, year={2017} }
Ian E.H. Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit Dhillon, Eric P. Xing
Knowledge Discovery and Data Mining (KDD), 2017. Oral Presentation
pdf bib@inproceedings{yen17extreme, title={PPDSparse: A Parallel Primal-Dual Sparse Method for Extreme Classification}, author={Yen, Ian E.H. and Huang, Xiangru and Dai, Wei and Ravikumar, Pradeep and Dhillon, Inderjit and Xing, Eric P.}, booktitle={ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, year={2017} }
Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing
arXiv:1704.03540, 2017
arXiv pdf bib@article{zhou17proximal, title={Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters}, author={Zhou, Yi and Yu, Yaoliang and Dai, Wei and Liang, Yingbin and Xing, Eric P.}, journal={arXiv preprint arXiv:1704.03540}, year={2017} }
Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing
arXiv:1703.08770, 2017
arXiv pdf bib@article{dai17scan, title={SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation}, author={Dai, Wei and Doyle, Joseph and Liang, Xiaodan and Zhang, Hao and Dong, Nanqing and Li, Yuan and Xing, Eric P.}, journal={arXiv preprint arXiv:1703.08770}, year={2017} }
Wei Dai*, Chia Dai*, Shuhui Qu, Juncheng Li, Samarjit Das
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
pdf bib@inproceedings{dai16verydeep, Author = {Dai, Wei and Dai, Chia and Qu, Shuhui and Li, Juncheng and Das, Samarjit}, Booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017}, Organization = {IEEE}, Title = {Very Deep Convolutional Neural Networks for Raw Waveforms}, Year = {2017}}
Juncheng Li, Wei Dai, Florian Metze, Shuihui Qu, Samarjit Das
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
pdf bib@inproceedings{li17compare, Author = {Juncheng Li and Dai, Wei and Metze Florian and Qu, Shuhui and Das, Samarjit}, Booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017}, Organization = {IEEE}, Title = {A Comparison of Deep Learning Methods for Environmental Sound Detection}, Year = {2017}}
Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
ACM Symposium on Cloud Computing (SoCC), 2016
pdf bib@inproceedings{aaron16straggler, title={Addressing the Straggler Problem for Iterative Convergent Parallel ML}, author={Harlap, Aaron and Cui, Henggang and Dai, Wei and Wei, Jinliang and Ganger, Gregory R. and Gibbons, Phillip B. and Gibson, Garth A. and Xing, Eric P.}, journal={ACM Symposium on Cloud Computing (SoCC)}, year={2016} }
Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P Xing
International Conference of Machine Learning (ICML), 2016
pdf bib@inproceedings{wang2014fw, title={Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms}, author={Wang, Yu-Xiang and Sadhanala, Veeranjaneyulu and Dai, Wei and Neiswanger, Willie and Sra, Suvrit and Xing, Eric P}, journal={International Conference on Machine Learning}, year={2016} }
Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth Gibson, Eric P. Xing.
European Conference on Computer Systems (EuroSys), 2016
pdf bib@inproceedings{kim2016strads, title={STRADS: a distributed framework for scheduled model parallel machine learning}, author={Kim, Jin Kyu and Ho, Qirong and Lee, Seunghak and Zheng, Xun and Dai, Wei and Gibson, Garth A and Xing, Eric P}, booktitle={Proceedings of the Eleventh European Conference on Computer Systems}, pages={5}, year={2016}, organization={ACM}}
Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing
Artificial Intelligence and Statistics (AISTATS), 2016
pdf bib@inproceedings{zhou16proximal, title = {On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System}, author = {Yi Zhou and Yaoliang Yu and Wei Dai and Yingbin Liang and Eric P. Xing}, booktitle = {The 19 International Conference on Artificial Intelligence and Statistics {(AISTATS)}}, year = {2016}}
Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai
Engineering, Volume:2, pp. 179-95, 2016
Engineering pdf bib@article{xing2014strategies, title={Strategies and Principles of Distributed Machine Learning on Big Data}, author={Eric P. Xing and Qirong Ho and Pengtao Xie and Wei Dai}, journal={Engineering}, year={2016} }
Jinliang Wei, Wei Dai, Aurick Qiao, Henggang Cui, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
ACM Symposium on Cloud Computing (SoCC), 2015. Best Paper Award!
pdf bib@inproceedings{wei2015managed, title={Managed communication and consistency for fast data-parallel iterative analytics}, author={Wei, Jinliang and Dai, Wei and Qiao, Aurick and Ho, Qirong and Cui, Henggang and Ganger, Gregory R and Gibbons, Phillip B and Gibson, Garth A and Xing, Eric P}, booktitle={Proceedings of the Sixth ACM Symposium on Cloud Computing}, pages={381--394}, year={2015}, organization={ACM} }
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Knowledge Discovery and Data Mining (KDD), 2015. Oral Presentation
arXiv pdf slide project bib@inproceedings{xing2015petuum, title={Petuum: A new Platform for Distributed Machine Learning on Big Data}, author={Xing, Eric P. and Ho, Qirong and Dai, Wei and Kim, Jin Kyu and Wei, Jinliang and Lee, Seunghak and Zheng, Xun and Xie, Pengtao and Kumar, Abhimanu and Yu, Yaoliang}, booktitle={ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, year={2015} }
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
International World Wide Web Conference (WWW), 2015. Oral Presentation
ACM pdf bib@inproceedings{lightlda15, author = {Yuan, Jinhui and Gao, Fei and Ho, Qirong and Dai, Wei and Wei, Jinliang and Zheng, Xun and Xing, Eric P. and Liu, Tie-yan and Ma, Wei-Ying}, title = {LightLDA: Big Topic Models on Modest Compute Clusters}, booktitle = {Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015}, year = {2015} }
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth Gibson, Eric P. Xing
AAAI Conference on Artificial Intelligence (AAAI), 2015. Oral Presentation
pdf appendix bib@inproceedings{dai2015analysis, author = {Dai, Wei and Kumar, Abhimanu and Wei, Jinliang and Ho, Qirong and Gibson, Garth and Xing, Eric P.}, title = {Analysis of High-Performance Distributed ML at Scale through Parameter Server Consistency Models}, booktitle = { Proceedings of the 29th AAAI Conference on Artificial Intelligence }, year = {2015} }
Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
USENIX Annual Technical Conference (ATC), 2014
ATC pdf bib@inproceedings{cui2014exploiting, title={Exploiting bounded staleness to speed up big data analytics}, author={Cui, Henggang and Cipar, James and Ho, Qirong and Kim, Jin Kyu and Lee, Seunghak and Kumar, Abhimanu and Wei, Jinliang and Dai, Wei and Ganger, Gregory R and Gibbons, Phillip B and others}, booktitle={Proceedings of the 2014 USENIX Conference on USENIX Annual Technical Conference, USENIX ATC}, volume={14}, pages={37--48}, year={2014}}
Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu , Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R Ganger, Phillip B Gibbons, Garth A Gibson, Eric P Xing
ACM Symposium on Cloud Computing (SoCC), 2014
SoCC pdf bib@inproceedings{cui2014exploiting, title={Exploiting iterative-ness for parallel ML computations}, author={Cui, Henggang and Tumanov, Alexey and Wei, Jinliang and Xu, Lianghong and Dai, Wei and Haber-Kucharsky, Jesse and Ho, Qirong and Ganger, Gregory R and Gibbons, Phillip B and Gibson, Garth A and others}, booktitle={Proceedings of the ACM Symposium on Cloud Computing}, pages={1--14}, year={2014}, organization={ACM} }
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
arXiv:1312.7651, 2013
arXiv pdf bib@article{dai2013petuum, title={Petuum: A Framework for Iterative-Convergent Distributed ML}, author={Dai, Wei and Wei, Jinliang and Zheng, Xun and Kim, Jin Kyu and Lee, Seunghak and Yin, Junming and Ho, Qirong and Xing, Eric P}, journal={arXiv preprint arXiv:1312.7651}, year={2013} }
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
NIPS, Big Learning Workshop, 2013
BigLearning Workshop pdf bib@article{dai2013petuum, title={Petuum: A Framework for Iterative-Convergent Distributed ML}, author={Dai, Wei and Wei, Jinliang and Zheng, Xun and Kim, Jin Kyu and Lee, Seunghak and Yin, Junming and Ho, Qirong and Xing, Eric P.}, year={2013} }
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
arXiv:1312.7869, 2013
arXiv pdf bib@article{wei2013consistent, title={Consistent bounded-asynchronous parameter servers for distributed ML}, author={Wei, Jinliang and Dai, Wei and Kumar, Abhimanu and Zheng, Xun and Ho, Qirong and Xing, Eric P}, journal={arXiv preprint arXiv:1312.7869}, year={2013} }
Wei Dai, Sanat K. Kumar, Francis W. Starr
Soft Matter, 2010
@article{dai2010universal, title={Universal two-step crystallization of DNA-functionalized nanoparticles}, author={Dai, Wei and Kumar, Sanat K and Starr, Francis W}, journal={Soft Matter}, volume={6}, number={24}, pages={6130--6135}, year={2010}, publisher={Royal Society of Chemistry} }
Wei Dai, Chia W. Hsu, Francesco Sciortino, Francis W. Starr
Langmuir, 2010
@article{dai2009valency, title={Valency dependence of polymorphism and polyamorphism in dna-functionalized nanoparticles}, author={Dai, Wei and Hsu, Chia Wei and Sciortino, Francesco and Starr, Francis W}, journal={Langmuir}, volume={26}, number={5}, pages={3601--3608}, year={2009}, publisher={ACS Publications} }
Wei Dai
Bachelor of Arts Honor Thesis: Wesleyan University, 2010
@article{dai2010effect, title={Effect of Valency on the Dynamics and Thermodynamics of DNA-linked Nanoparticles Materials}, author={Dai, Wei}, year={2010} }