Author

Meng Li

Peking University; Ex-Facebook - Cited by 4,036 - Efficient and Secure Multi-Modal AI

Biography

Dr. Meng Li is an Assistant Professor in the Department of Pediatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China. His research interest includes Speech Science, Hearing Science, etc. He has published more than 39 publications and the articles are informative and got good citations.
Title
Cited by
Year
Recnmp: Accelerating personalized recommendation with near-memory processing
L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ...2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020202
138
2020
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
L Yang, Z Yan, M Li, H Kwon, L Lai, T Krishna, V Chandra, W Jiang, Y Shi2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020202
106
2020
Keepaugment: A simple information-preserving data augmentation approach
C Gong, D Wang, M Li, V Chandra, Q LiuProceedings of the IEEE/CVF conference on computer vision and pattern …, 2021202
79
2021
IP protection and supply chain security through logic obfuscation: A systematic overview
K Shamsi, M Li, K Plaks, S Fazzari, DZ Pan, Y JinACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (6 …, 2019201
75
2019
Multi-scale high-resolution vision transformer for semantic segmentation
J Gu, H Kwon, D Wang, W Ye, M Li, YH Chen, L Lai, V Chandra, DZ PanProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022202
67
2022
Attentivenas: Improving neural architecture search via attentive sampling
D Wang, M Li, C Gong, V ChandraProceedings of the IEEE/CVF conference on computer vision and pattern …, 2021202
67
2021
Alphanet: Improved training of supernets with alpha-divergence
D Wang, C Gong, M Li, Q Liu, V ChandraInternational Conference on Machine Learning, 10760-10771, 2021202
44
2021
GAN-SRAF: Sub-resolution assist feature generation using conditional generative adversarial networks
MB Alawieh, Y Lin, Z Zhang, M Li, Q Huang, DZ PanProceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019201
36
2019
PyTorchVideo: A deep learning library for video understanding
H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ...Proceedings of the 29th ACM international conference on multimedia, 3783-3786, 2021202
30
2021
Improve vision transformers training by suppressing over-smoothing
C Gong, D Wang, M Li, V Chandra, Q LiuarXiv preprint arXiv:2104.12753 4 (11), 2021202
28
2021
Vision transformers with patch diversification
C Gong, D Wang, M Li, V Chandra, Q LiuarXiv preprint arXiv:2104.12753, 2021202
26
2021
CPT: Efficient deep neural network training via cyclic precision
Y Fu, H Guo, M Li, X Yang, Y Ding, V Chandra, Y LinarXiv preprint arXiv:2101.09868, 2021202
23
2021
Litho-GPA: Gaussian process assurance for lithography hotspot detection
W Ye, MB Alawieh, M Li, Y Lin, DZ Pan2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 54-59, 2019201
21
2019
Nasvit: Neural architecture search for efficient vision transformers with gradient conflict aware supernet training
C Gong, D Wang, M Li, X Chen, Z Yan, Y Tian, V ChandraInternational Conference on Learning Representations, 2021202
19
2021
Double-win quant: Aggressively winning robustness of quantized deep neural networks via random precision training and inference
Y Fu, Q Yu, M Li, V Chandra, Y LinInternational Conference on Machine Learning, 3492-3504, 2021202
17
2021
NASGEM: Neural architecture search via graph embedding method
HP Cheng, T Zhang, Y Zhang, S Li, F Liang, F Yan, M Li, V Chandra, H Li, ...Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7090-7098, 2021202
15
2021
Energy-aware neural architecture optimization with fast splitting steepest descent
D Wang, M Li, L Wu, V Chandra, Q LiuarXiv preprint arXiv:1910.03103, 2019201
13
2019
Bit: Robustly binarized multi-distilled transformer
Z Liu, B Oguz, A Pappu, L Xiao, S Yih, M Li, R Krishnamoorthi, Y MehdadAdvances in neural information processing systems 35, 14303-14316, 2022202
13
2022
Dna: Differentiable network-accelerator co-search
Y Zhang, Y Fu, W Jiang, C Li, H You, M Li, V Chandra, Y LinarXiv preprint arXiv:2010.14778, 2020202
13
2020
Decentralized unsupervised learning of visual representations
Y Wu, Z Wang, D Zeng, M Li, Y Shi, J HuarXiv preprint arXiv:2111.10763, 2021202
13
2021

Referred From: https://scholar.google.com/citations?user=lvdRkEkAAAAJ&hl=en

Cited by
Citations 4036
h-index 26
i10-index 49
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