Zobrazeno 1 - 10
of 56
pro vyhledávání: '"YINGYAN LIN"'
Publikováno v:
Energies, Vol 17, Iss 1, p 163 (2023)
A novel hybrid system model, combining a concentrated photovoltaic cell (CPC) with a thermally regenerative electrochemical cycle (TREC), is proposed. This innovative setup allows the TREC to convert heat from the CPC into electricity. The model inco
Externí odkaz:
https://doaj.org/article/3d1f11a5cc334b789cccf380fef5b821
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 70:2523-2536
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7357f50b9eb8473f33b30cb3403f56fd
https://doi.org/10.1109/tcsi.2023.3256700
https://doi.org/10.1109/tcsi.2023.3256700
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:8910-8918
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art deep learning model for representation learning on graphs. However, it remains notoriously challenging to train and inference GCNs over large graph datasets, limiting their appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cec943995d76a484c97837efb731a15
https://doi.org/10.1609/aaai.v36i8.20873
https://doi.org/10.1609/aaai.v36i8.20873
Autor:
Jorge E. Jimenez, Dong Dai, Guofan Xu, Ruiyang Zhao, Tengfei Li, Tinsu Pan, Linghua Wang, Yingyan Lin, Zhangyang Wang, David Jaffray, John D. Hazle, Homer A. Macapinlac, Jia Wu, Yang Lu
Publikováno v:
Clin Nucl Med
PURPOSE: To develop a pretherapy PET/CT-based prediction model for treatment response to ibrutinib in lymphoma patients. MATERIALS AND METHODS: One hundred sixty-nine lymphoma patients with 2441 lesions were studied retrospectively. All eligible lymp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9992080420d427b66e6969ee9c02098c
https://pubmed.ncbi.nlm.nih.gov/35020640
https://pubmed.ncbi.nlm.nih.gov/35020640
Autor:
Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
The record-breaking performance of deep neural networks (DNNs) comes with heavy parameter budgets, which leads to external dynamic random access memory (DRAM) for storage. The prohibitive energy of DRAM accesses makes it nontrivial for DNN deployment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0790b10c5a0cf2b1d32160e77076fb76
https://doi.org/10.1109/tnnls.2021.3138056
https://doi.org/10.1109/tnnls.2021.3138056
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c13ddd116b6d65dbb27023d472ed77ba
https://doi.org/10.1007/978-3-031-25066-8_40
https://doi.org/10.1007/978-3-031-25066-8_40
Autor:
Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin
Vision Transformer (ViT) has emerged as a competitive alternative to convolutional neural networks for various computer vision applications. Specifically, ViT multi-head attention layers make it possible to embed information globally across the overa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf90cfb05378ea41b005f3d484962268
http://arxiv.org/abs/2211.05109
http://arxiv.org/abs/2211.05109
Autor:
Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin Herbordt
Publikováno v:
2022 32nd International Conference on Field-Programmable Logic and Applications (FPL).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba1bcfa3737fbdedc75e89c50c56ba3
https://doi.org/10.1109/fpl57034.2022.00071
https://doi.org/10.1109/fpl57034.2022.00071
Publikováno v:
ACM Transactions on Internet of Things. 2:1-22
We present the design, implementation, and experimental evaluation of ASTRO, a modular end-to-end system for distributed sensing missions with autonomous networked drones. We introduce the fundamental system architecture features that enable agnostic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b8b13614146814286f07e65a7ff920
https://doi.org/10.1145/3464942
https://doi.org/10.1145/3464942
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40:1230-1243
Deep neural network (DNN) accelerators are widely deployed in computer vision, speech recognition, and machine translation applications, in which attacks on DNNs have become a growing concern. This article focuses on exploring the implications of har
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::668a2c5438745833d22e4476edae3d90
https://doi.org/10.1109/tcad.2020.2995347
https://doi.org/10.1109/tcad.2020.2995347