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ORCIDShuai Zheng 0004
Person information
- affiliation: Amazon Web Services
- affiliation (former): Hong Kong University of Science and Technology, Department of Computer Science and Engineering
- affiliation (former): Chinese Academy of Sciences, Institute of Computing Technology
Other persons with the same name
- Shuai Zheng — disambiguation page
- Shuai Zheng 0001
![[0000-0002-1636-631X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1636-631X")
— University of Oxford, Department of Engineering Science (and 2 more) - Shuai Zheng 0002 — University of Texas at Arlington, Department of Computer Science and Engineering (and 1 more)
- Shuai Zheng 0003 — Emory University, Atlanta, Department of Mathematics and Computer Science
- Shuai Zheng 0005 — Beijing Jiaotong University, Institute of Information Science, China (and 1 more)
Other persons with a similar name
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2020 – today
- 2024
[c22]Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang:
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) 2024: 1095-1111- [c21]Chenyu Jiang, Zhen Jia, Shuai Zheng, Yida Wang, Chuan Wu:
DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines. EuroSys 2024: 542-559 - [c20]Chenyu Jiang, Ye Tian, Zhen Jia, Shuai Zheng, Chuan Wu, Yida Wang:
Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping. MLSys 2024 - [c19]Jun Huang, Zhen Zhang, Shuai Zheng, Feng Qin, Yida Wang:
DISTMM: Accelerating Distributed Multimodal Model Training. NSDI 2024 - [i23]Chenyu Jiang, Ye Tian, Zhen Jia, Shuai Zheng, Chuan Wu, Yida Wang:
Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping. CoRR abs/2404.19429 (2024) - 2023
- [c18]Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun:
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. NeurIPS 2023 - [c17]Zhuang Wang, Zhen Jia, Shuai Zheng, Zhen Zhang, Xinwei Fu, T. S. Eugene Ng, Yida Wang:
GEMINI: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints. SOSP 2023: 364-381 - [i22]Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang:
Decoupled Model Schedule for Deep Learning Training. CoRR abs/2302.08005 (2023) - [i21]Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun:
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. CoRR abs/2304.04704 (2023) - [i20]Chenyu Jiang, Zhen Jia, Shuai Zheng, Yida Wang, Chuan Wu:
DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines. CoRR abs/2311.10418 (2023) - 2022
- [j2]Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin:
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. 16(1): 37-50 (2022) - [c16]Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. ICML 2022: 23433-23445 - [c15]Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang:
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML 2022: 23446-23458 - [c14]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - [c13]Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi:
DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. WWW (Companion Volume) 2022: 110-115 - [i19]Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin:
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR abs/2205.00119 (2022) - [i18]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - [i17]Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. CoRR abs/2207.01156 (2022) - [i16]Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang:
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR abs/2207.01160 (2022) - [i15]Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr:
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR abs/2212.05191 (2022) - [i14]M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li:
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning. CoRR abs/2212.10929 (2022) - 2020
- [j1]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21: 23:1-23:7 (2020) - [c12]Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin:
CSER: Communication-efficient SGD with Error Reset. NeurIPS 2020 - [i13]Shuai Zheng, Haibin Lin, Sheng Zha, Mu Li:
Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes. CoRR abs/2006.13484 (2020) - [i12]Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin:
CSER: Communication-efficient SGD with Error Reset. CoRR abs/2007.13221 (2020)
2010 – 2019
- 2019
- [c11]Shuai Zheng, Ziyue Huang, James T. Kwok:
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback. NeurIPS 2019: 11446-11456 - [c10]Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu:
Give Me a Hint! Navigating Image Databases Using Human-in-the-Loop Feedback. WACV 2019: 2048-2057 - [i11]Shuai Zheng, James T. Kwok:
Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning. CoRR abs/1905.09899 (2019) - [i10]Shuai Zheng, Ziyue Huang, James T. Kwok:
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback. CoRR abs/1905.10936 (2019) - [i9]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR abs/1907.04433 (2019) - 2018
- [c9]Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik:
Conditional Image-Text Embedding Networks. ECCV (12) 2018: 258-274 - [c8]Shuai Zheng, James Tin-Yau Kwok:
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data. ICML 2018: 5927-5935 - [c7]Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu:
ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations. ACM Multimedia 2018: 1670-1678 - [i8]Shuai Zheng, James T. Kwok:
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data. CoRR abs/1806.02927 (2018) - [i7]Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu:
ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations. CoRR abs/1807.01394 (2018) - [i6]Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu:
Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback. CoRR abs/1809.08714 (2018) - 2017
- [c6]Shuai Zheng, James T. Kwok:
Follow the Moving Leader in Deep Learning. ICML 2017: 4110-4119 - [i5]Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik:
Conditional Image-Text Embedding Networks. CoRR abs/1711.08389 (2017) - 2016
- [c5]Ruiliang Zhang, Shuai Zheng, James T. Kwok:
Asynchronous Distributed Semi-Stochastic Gradient Optimization. AAAI 2016: 2323-2329 - [c4]Shuai Zheng, Ruiliang Zhang, James T. Kwok:
Fast Nonsmooth Regularized Risk Minimization with Continuation. AAAI 2016: 2393-2399 - [c3]Shuai Zheng, James T. Kwok:
Fast-and-Light Stochastic ADMM. IJCAI 2016: 2407-2613 - [i4]Shuai Zheng, Ruiliang Zhang, James Tin-Yau Kwok:
Fast Nonsmooth Regularized Risk Minimization with Continuation. CoRR abs/1602.07844 (2016) - [i3]Shuai Zheng, James T. Kwok:
Fast-and-Light Stochastic ADMM. CoRR abs/1604.07070 (2016) - 2015
- [i2]Ruiliang Zhang, Shuai Zheng, James T. Kwok:
Fast Distributed Asynchronous SGD with Variance Reduction. CoRR abs/1508.01633 (2015) - 2014
- [c2]Shuai Zheng, James T. Kwok:
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold. AAAI 2014: 1376-1383 - 2013
- [c1]Shuai Zheng, Luis Herranz, Shuqiang Jiang:
Flexible navigation in smartphones and tablets using scalable storyboards. ICMR 2013: 319-320 - 2012
- [i1]James Clarke, Yuval Merhav, Ghalib Suleiman, Shuai Zheng, David Murgatroyd:
Basis Technology at TAC 2012 Entity Linking. TAC 2012
Coauthor Index
aka: James Tin-Yau Kwok
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last updated on 2024-11-14 21:03 CET by the dblp team
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