Artikel mit Open-Access-Mandaten - Yifan GongWeitere Informationen
Nicht verfügbar: 1
Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge
Y Gong, P Zhao, Z Zhan, Y Wu, C Wu, Z Kong, M Qin, C Ding, Y Wang
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
Mandate: US National Science Foundation, US Department of Defense
Verfügbar: 15
Mest: Accurate and fast memory-economic sparse training framework on the edge
G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ...
Advances in Neural Information Processing Systems 34, 20838-20850, 2021
Mandate: US National Science Foundation, US Department of Defense
Rtmobile: Beyond real-time mobile acceleration of rnns for speech recognition
P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ...
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
Mandate: US National Science Foundation
Sparcl: Sparse continual learning on the edge
Z Wang, Z Zhan, Y Gong, G Yuan, W Niu, T Jian, B Ren, S Ioannidis, ...
Advances in Neural Information Processing Systems 35, 20366-20380, 2022
Mandate: US National Science Foundation
Radio frequency fingerprinting on the edge
T Jian, Y Gong, Z Zhan, R Shi, N Soltani, Z Wang, J Dy, K Chowdhury, ...
IEEE Transactions on Mobile Computing 21 (11), 4078-4093, 2021
Mandate: US National Science Foundation
Achieving on-mobile real-time super-resolution with neural architecture and pruning search
Z Zhan, Y Gong, P Zhao, G Yuan, W Niu, Y Wu, T Zhang, M Jayaweera, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Mandate: US National Science Foundation, US Department of Defense
A privacy-preserving-oriented dnn pruning and mobile acceleration framework
Y Gong, Z Zhan, Z Li, W Niu, X Ma, W Wang, B Ren, C Ding, X Lin, X Xu, ...
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 119-124, 2020
Mandate: US National Science Foundation
Compiler-aware neural architecture search for on-mobile real-time super-resolution
Y Wu, Y Gong, P Zhao, Y Li, Z Zhan, W Niu, H Tang, M Qin, B Ren, ...
European Conference on Computer Vision, 92-111, 2022
Mandate: US National Science Foundation, US Department of Defense
Spontaneous Glutamatergic Synaptic Activity Regulates Constitutive COX-2 Expression in Neurons OPPOSING ROLES FOR THE TRANSCRIPTION FACTORS CREB (cAMP RESPONSE ELEMENT BINDING …
SJ Hewett, J Shi, Y Gong, K Dhandapani, C Pilbeam, JA Hewett
Journal of Biological Chemistry 291 (53), 27279-27288, 2016
Mandate: US National Institutes of Health
Chic experience-driven scheduling in machine learning clusters
Y Gong, B Li, B Liang, Z Zhan
Proceedings of the International Symposium on Quality of Service, 1-10, 2019
Mandate: Natural Sciences and Engineering Research Council of Canada
DualHSIC: HSIC-bottleneck and alignment for continual learning
Z Wang, Z Zhan, Y Gong, Y Shao, S Ioannidis, Y Wang, J Dy
International Conference on Machine Learning, 36578-36592, 2023
Mandate: US National Science Foundation
Blcr: Towards real-time dnn execution with block-based reweighted pruning
X Ma, G Yuan, Z Li, Y Gong, T Zhang, W Niu, Z Zhan, P Zhao, N Liu, ...
2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-8, 2022
Mandate: US National Science Foundation
Automatic mapping of the best-suited dnn pruning schemes for real-time mobile acceleration
Y Gong, G Yuan, Z Zhan, W Niu, Z Li, P Zhao, Y Cai, S Liu, B Ren, X Lin, ...
ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (5 …, 2022
Mandate: US National Science Foundation
Maintenance of the innate seizure threshold by cyclooxygenase-2 is not influenced by the translational silencer, T-cell intracellular antigen-1
Y Gong, JA Hewett
Neuroscience 373, 37-51, 2018
Mandate: US National Institutes of Health
All-in-one: A highly representative dnn pruning framework for edge devices with dynamic power management
Y Gong, Z Zhan, P Zhao, Y Wu, C Wu, C Ding, W Jiang, M Qin, Y Wang
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022
Mandate: US National Science Foundation, US Department of Defense
MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference
Y Wu, Y Gong, Z Zhan, G Yuan, Y Li, Q Wang, C Wu, Y Wang
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-10, 2023
Mandate: US National Science Foundation, US Department of Defense
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