Shuxin Zheng

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Tie-Yan LiuDistinguished Scientist, Microsoft | Assistant Managing Director, MSRA | IEEE Fellow | ACM FellowVerified email at microsoft.com
Di HePeking UniversityVerified email at pku.edu.cn
Guolin KeDP TechnologyVerified email at microsoft.com
Wei Chen (陈薇)Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Shengjie LuoPhD Student, Peking UniversityVerified email at stu.pku.edu.cn
Qi MengMicrosoft Research AsiaVerified email at microsoft.com
Huishuai ZhangMicrosoft Research AsiaVerified email at microsoft.com
Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
Tianle CaiPhD Student, Princeton UniversityVerified email at princeton.edu
Yanyan LanTsinghua UniversityVerified email at tsinghua.edu.cn
Nenghai YuUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Jiang BianMicrosoft ResearchVerified email at microsoft.com
Chang LiuMicrosoft Research AsiaVerified email at microsoft.com
Mingqing XiaoPeking UniversityVerified email at pku.edu.cn
Jia XingUS EPA/NERL/AMADVerified email at epa.gov
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Yue CaoSenior Researcher, Microsoft Research AsiaVerified email at microsoft.com
Gao Huang （黄高）Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Zhuliang YaoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Tao QinSenior Principal Research Manager, Microsoft Research AsiaVerified email at microsoft.com

Shuxin Zheng

Senior Researcher, Microsoft Research Asia

Verified email at microsoft.com - Homepage

Deep Learning Graph Learning AI for Science


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Asynchronous stochastic gradient descent with delay compensation S Zheng, Q Meng, T Wang, W Chen, N Yu, ZM Ma, TY Liu Proceedings of the 34th International Conference on Machine Learning, PMLR …, 2017	206*	2017
On layer normalization in the transformer architecture R Xiong, Y Yang, D He, K Zheng, S Zheng, C Xing, H Zhang, Y Lan, ... Proceedings of the 37th International Conference on Machine Learning, 2020, 2020	190	2020
Do Transformers Really Perform Badly for Graph Representation? C Ying, T Cai, S Luo, S Zheng, G Ke, D He, Y Shen, TY Liu Thirty-Fifth Conference on Neural Information Processing Systems (NIPS), 2021, 2021	78	2021
Invertible Image Rescaling M Xiao, S Zheng, C Liu, Y Wang, D He, G Ke, J Bian, Z Lin, TY Liu European Conference on Computer Vision (ECCV) 2020, 126-144, 2020	67	2020
Cross-Iteration Batch Normalization Z Yao, Y Cao, S Zheng, G Huang, S Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2020	48	2020
Deep learning for prediction of the air quality response to emission changes J Xing, S Zheng, D Ding, JT Kelly, S Wang, S Li, T Qin, M Ma, Z Dong, ... Environmental science & technology 54 (14), 8589-8600, 2020	30	2020
-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space Q Meng, S Zheng, H Zhang, W Chen, Q Ye, ZM Ma, TY Liu Proceedings of the 7th International Conference on Learning Representations …, 2018	20	2018
Capacity control of relu neural networks by basis-path norm S Zheng, Q Meng, H Zhang, W Chen, N Yu, TY Liu Proceedings of the 33rd AAAI Conference on Artificial Intelligence, 2019, 2018	16	2018
Mc-bert: Efficient language pre-training via a meta controller Z Xu, L Gong, G Ke, D He, S Zheng, L Wang, J Bian, TY Liu arXiv preprint arXiv:2006.05744, 2020	10	2020
Modeling Lost Information in Lossy Image Compression Y Wang, M Xiao, C Liu, S Zheng, TY Liu arXiv preprint arXiv:2006.11999, 2020	8	2020
How could Neural Networks understand Programs? D Peng, S Zheng, Y Li, G Ke, D He, TY Liu Proceedings of International Conference on Machine Learning (ICML), 2021 …, 2021	6	2021
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding S Luo, S Li, T Cai, D He, D Peng, S Zheng, G Ke, L Wang, TY Liu Advances in Neural Information Processing Systems, 2021 (NeurIPS 2021), 2021	6	2021
OptQuant: Distributed Training of Neural Networks with Optimized Quantization Mechanisms L He, S Zheng, W Chen, ZM Ma, TY Liu Neurocomputing 340, Pages 233-244, 2019	5	2019
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track C Ying, M Yang, S Zheng, G Ke, S Luo, T Cai, C Wu, Y Wang, Y Shen, ... arXiv preprint arXiv:2106.08279, 2021	3*	2021
Revisiting language encoding in learning multilingual representations S Luo, K Gao, S Zheng, G Ke, D He, L Wang, TY Liu arXiv preprint arXiv:2102.08357, 2021	1	2021
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets Y Shi, S Zheng, G Ke, Y Shen, J You, J He, S Luo, C Liu, D He, TY Liu arXiv preprint arXiv:2203.04810, 2022		2022
Mimicking atmospheric photochemical modeling with a deep neural network J Xing, S Zheng, S Li, L Huang, X Wang, JT Kelly, S Wang, C Liu, C Jang, ... Atmospheric Research 265, 105919, 2022		2022

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