Shanda Li

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Di HePeking UniversityVerified email at pku.edu.cn
Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
Shengjie LuoPhD Student, Peking UniversityVerified email at stu.pku.edu.cn
Tianle CaiPhD Student, Princeton UniversityVerified email at princeton.edu
Guolin KeDP TechnologyVerified email at microsoft.com
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Krzysztof ChoromanskiGoogle Brain Robotics New York & Columbia UniversityVerified email at columbia.edu
Kumar Avinava DubeyGoogle ResearchVerified email at google.com

Shanda Li

Verified email at cs.cmu.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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 NeurIPS 2021, 2021	20	2021
Can Vision Transformers Perform Convolution? S Li, X Chen, D He, CJ Hsieh arXiv preprint arXiv:2111.01353, 2021	10	2021
Is Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? C Wang, S Li, D He, L Wang arXiv preprint arXiv:2206.02016, 2022	7	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	6	2022
Learning Physics-Informed Neural Networks without Stacked Back-propagation D He, W Shi, S Li, X Gao, J Zhang, J Bian, L Wang, TY Liu arXiv preprint arXiv:2202.09340, 2022	2	2022
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers KM Choromanski, S Li, V Likhosherstov, KA Dubey, S Luo, D He, Y Yang, ... arXiv preprint arXiv:2302.01925, 2023		2023

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