Rundong Li

20192020202120222023202420254 20 47 52 52 60 71

Hongwei QinSnowline AIVerified email at snowline.ai
Feng (Jeff) LiangMeta AI, University of Texas at AustinVerified email at utexas.edu
Yan WangTsinghua university; SenseTimeVerified email at mail.tsinghua.edu.cn
Yichun ShenNVIDIAVerified email at nvidia.com
Junghyun KwonRobot Center at Samsung ResearchVerified email at samsung.com
Jun YangNVIDIAVerified email at nvidia.com
Michał MarcinkiewiczNVIDIAVerified email at nvidia.com
Sukru Burc EryilmazElectrical Engineering, Stanford UniversityVerified email at stanford.edu
JIE XINVerified email at nvidia.com
Junjie YanMiniMax
Siyi Li 李思一NVIDIAVerified email at nvidia.com

Rundong Li

Verified email at nvidia.com


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fully quantized network for object detection R Li, Y Wang, F Liang, H Qin, J Yan, R Fan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	285	2019
Confidence propagation cluster: Unleash full potential of object detectors Y Shen, W Jiang, Z Xu, R Li, J Kwon, S Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	17	2022
ScaleFold: Reducing AlphaFold initial training time to 10 hours F Zhu, A Nowaczynski, R Li, J Xin, Y Song, M Marcinkiewicz, SB Eryilmaz, ... Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024	6	2024
GQ-Net: Training Quantization-Friendly Deep Networks R Li, R Fan

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