Shuxin Zheng

Citirano

	Sve	Od 2018.
Citati	1219	1212
H-indeks	11	11
i10-indeks	12	12

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20172018201920202021202220235 35 38 107 315 663 49

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Suautori

Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowPotvrđena adresa e-pošte na microsoft.com
Di HePeking UniversityPotvrđena adresa e-pošte na pku.edu.cn
Guolin KeDP TechnologyPotvrđena adresa e-pošte na microsoft.com
Liwei WangProfessor, Peking UniversityPotvrđena adresa e-pošte na cis.pku.edu.cn
Shengjie LuoPhD Student, Peking UniversityPotvrđena adresa e-pošte na stu.pku.edu.cn
Wei Chen (陈薇)Institute of Computing Technology, Chinese Academy of SciencesPotvrđena adresa e-pošte na ict.ac.cn
Qi MengMicrosoft Research AI4SciencePotvrđena adresa e-pošte na microsoft.com
Huishuai ZhangMicrosoft Research AsiaPotvrđena adresa e-pošte na microsoft.com
Chang LiuMicrosoft Research AI4SciencePotvrđena adresa e-pošte na microsoft.com
Tianle CaiPhD Student, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Nenghai YuUniversity of Science and Technology of ChinaPotvrđena adresa e-pošte na ustc.edu.cn
Yanyan LanTsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn
Jiang BianMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Yanming Shen(申彦明)Dalian University of TechnologyPotvrđena adresa e-pošte na dlut.edu.cn
Mingqing XiaoPeking UniversityPotvrđena adresa e-pošte na pku.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchPotvrđena adresa e-pošte na pku.edu.cn
Jia XingUS EPA/NERL/AMADPotvrđena adresa e-pošte na epa.gov
wang shuxiaoSchool of Environment, Tsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn
James T KellyUS Environmental Protection AgencyPotvrđena adresa e-pošte na epa.gov
Dinglan PengPurdue UniversityPotvrđena adresa e-pošte na purdue.edu

Prati

Shuxin Zheng

Senior Researcher, Microsoft Research AI4Science

Potvrđena adresa e-pošte na microsoft.com - Početna stranica

Deep Learning AI for Science


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	346	2020
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	256*	2017
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	255	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	105	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	78	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	41	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	25	2018
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	22	2021
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	19	2018
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	17	2021
Modeling Lost Information in Lossy Image Compression Y Wang, M Xiao, C Liu, S Zheng, TY Liu arXiv preprint arXiv:2006.11999, 2020	13	2020
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
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	7	2022
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	7	2021
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	5	2022
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
One transformer can understand both 2d & 3d molecular data S Luo, T Chen, Y Xu, S Zheng, TY Liu, L Wang, D He arXiv preprint arXiv:2210.01765, 2022	3	2022
Your transformer may not be as powerful as you expect S Luo, S Li, S Zheng, TY Liu, L Wang, D He arXiv preprint arXiv:2205.13401, 2022	3	2022
Invertible Rescaling Network and Its Extensions M Xiao, S Zheng, C Liu, Z Lin, TY Liu International Journal of Computer Vision 131 (1), 134-159, 2023	1	2023
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

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