Hongjie Wang 个人学术档案 - 学术资源搜索

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Haitong LiAssistant Professor of ECE, Purdue University在 purdue.edu 的电子邮件经过验证
Priyanka RainaAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Weier WanStanford University在 stanford.edu 的电子邮件经过验证
Akash LevyStanford University在 stanford.edu 的电子邮件经过验证
Wei-Chen (Harry) ChenStanford University在 stanford.edu 的电子邮件经过验证
H.-S. Philip WongProfessor of Electrical Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
Meng-Fan ChangNational Tsing Hua University, Taiwan在 ee.nthu.edu.tw 的电子邮件经过验证
YD ChihTSMC在 tsmc.com 的电子邮件经过验证
Yingyan (Celine) LinAssociate Professor, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Yue WangMagna International在 magna.com 的电子邮件经过验证
Yang (Katie) ZhaoAssistant Professor, University of Minnesota, Twin Cities在 umn.edu 的电子邮件经过验证

Hongjie Wang

在 princeton.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
SAPIENS: A 64-kb RRAM-based non-volatile associative memory for one-shot learning and inference at the edge H Li, WC Chen, A Levy, CH Wang, H Wang, PH Chen, W Wan, WS Khwa, ... IEEE Transactions on Electron Devices 68 (12), 6637-6643, 2021	49	2021
One-shot learning with memory-augmented neural networks using a 64-kbit, 118 GOPS/W RRAM-based non-volatile associative memory H Li, WC Chen, A Levy, CH Wang, H Wang, PH Chen, W Wan, HSP Wong, ... 2021 Symposium on VLSI Technology, 1-2, 2021	22	2021
A new MRAM-based process in-memory accelerator for efficient neural network training with floating point precision H Wang, Y Zhao, C Li, Y Wang, Y Lin 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020	18	2020
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers H Wang, B Dedhia, NK Jha IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2023	7	2023
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models H Wang, D Liu, Y Kang, Y Li, Z Lin, NK Jha, Y Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024		2024

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