متابعة
Wei Zhang
Wei Zhang
IBM T.J.Watson Research Center
بريد إلكتروني تم التحقق منه على us.ibm.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent‏
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu‏
Advances in neural information processing systems 30, 2017‏
14222017
Asynchronous decentralized parallel stochastic gradient descent‏
X Lian*, W Zhang*, C Zhang, J Liu‏
ICML 2018, 2017‏
6002017
Staleness-aware Async-SGD for Distributed Deep Learning‏
W Zhang, S Gupta, X Lian, J Liu‏
IJCAI 2016, 2016‏
3412016
Automated atomicity-violation fixing‏
G Jin, L Song, W Zhang, S Lu, B Liblit‏
PLDI 2011, 389-400, 2011‏
3082011
Codenet: A large-scale ai for code dataset for learning a diversity of coding tasks‏
R Puri, DS Kung, G Janssen, W Zhang, G Domeniconi, V Zolotov, J Dolby, ...‏
arXiv preprint arXiv:2105.12655, 2021‏
3032021
Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks‏
X Sun, J Choi, CY Chen, N Wang, S Venkataramani, VV Srinivasan, X Cui, ...‏
Advances in neural information processing systems 32, 2019‏
2622019
Model accuracy and runtime tradeoff in distributed deep learning: A systematic study‏
S Gupta*, W Zhang*, F Wang‏
2016 IEEE 16th International Conference on Data Mining (ICDM), 171-180, 2016‏
2422016
Automated concurrency-bug fixing‏
G Jin, W Zhang, D Deng, B Liblit, S Lu‏
OSDI 2012, 221-236, 2012‏
2272012
Adacomp: Adaptive residual gradient compression for data-parallel distributed training‏
CY Chen, J Choi, D Brand, A Agrawal, W Zhang, K Gopalakrishnan‏
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018‏
2102018
ConSeq: detecting concurrency bugs through sequential errors‏
W Zhang, J Lim, R Olichandran, J Scherpelz, G Jin, S Lu, T Reps‏
ASPLOS 2011, 251-264, 2011‏
1702011
ConMem: detecting severe concurrency bugs through an effect-oriented approach‏
W Zhang, C Sun, S Lu‏
ASPLOS'10 45 (3), 179-192, 2010‏
1602010
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks‏
X Cui, Z Wei, Z Tuske, M Picheny‏
NIPS'2018, 2018‏
1292018
Decentralized Parallel Algorithm for Training Generative Adversarial Nets‏
ML Liu, W Zhang, Y Mroueh, X Cui, J Ross, P Das‏
Conference on Neural Information Processing Systems, 2020‏
862020
Towards better understanding of adaptive gradient algorithms in generative adversarial nets‏
M Liu, Y Mroueh, J Ross, W Zhang, X Cui, P Das, T Yang‏
arXiv preprint arXiv:1912.11940, 2019‏
812019
Scalecom: Scalable sparsified gradient compression for communication-efficient distributed training‏
CY Chen, J Ni, S Lu, X Cui, PY Chen, X Sun, N Wang, S Venkataramani, ...‏
Advances in Neural Information Processing Systems 33, 13551-13563, 2020‏
772020
Robustness to unbounded smoothness of generalized signsgd‏
M Crawshaw, M Liu, F Orabona, W Zhang, Z Zhuang‏
Advances in neural information processing systems 35, 9955-9968, 2022‏
742022
GLB: lifeline-based global load balancing library in x10‏
W Zhang, O Tardieu, D Grove, B Herta, T Kamada, V Saraswat, ...‏
Proceedings of the first workshop on Parallel programming for analytics …, 2014‏
742014
Forecast of Solar Energy Production - A Deep Learning Approach‏
R Zhang, F Minwei, Z Wei, L Siyuan, W Fei‏
63*
ConAir: Featherweight concurrency bug recovery via single-threaded idempotent execution‏
W Zhang, M De Kruijf, A Li, S Lu, K Sankaralingam‏
Proceedings of the eighteenth international conference on Architectural …, 2013‏
552013
Quality-directed adaptive analytic retraining‏
DP Grove, MJ Hirzel, W Zhang‏
US Patent 10,163,061, 2018‏
542018
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مقالات 1–20