Hongjia Li
Hongjia Li
Applied Scientist, Amazon
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Yolobile: Real-time object detection on mobile devices via compression-compilation co-design
Y Cai, H Li, G Yuan, W Niu, Y Li, X Tang, B Ren, Y Wang
Proceedings of the AAAI conference on artificial intelligence 35 (2), 955-963, 2021
Deep reinforcement learning: Framework, applications, and embedded implementations
H Li, T Wei, A Ren, Q Zhu, Y Wang
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 847-854, 2017
FFT-based deep learning deployment in embedded systems
S Lin, N Liu, M Nazemi, H Li, C Ding, Y Wang, M Pedram
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
An image enhancing pattern-based sparsity for real-time inference on mobile devices
X Ma, W Niu, T Zhang, S Liu, S Lin, H Li, W Wen, X Chen, J Tang, K Ma, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
ADMM-based weight pruning for real-time deep learning acceleration on mobile devices
H Li, N Liu, X Ma, S Lin, S Ye, T Zhang, X Lin, W Xu, Y Wang
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 501-506, 2019
Fast and energy-aware resource provisioning and task scheduling for cloud systems
H Li, J Li, W Yao, S Nazarian, X Lin, Y Wang
2017 18th international symposium on quality electronic design (ISQED), 174-179, 2017
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation
H Li, R Cai, N Liu, X Lin, Y Wang
Nano Communication Networks 16, 81-90, 2018
An automatic and efficient bert pruning for edge ai systems
S Huang, N Liu, Y Liang, H Peng, H Li, D Xu, M Xie, C Ding
2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022
New passive and active attacks on deep neural networks in medical applications
C Gongye, H Li, X Zhang, M Sabbagh, G Yuan, X Lin, T Wahl, Y Fei
Proceedings of the 39th international conference on computer-aided design, 1-9, 2020
Real-time mobile acceleration of dnns: From computer vision to medical applications
H Li, G Yuan, W Niu, Y Cai, M Sun, Z Li, B Ren, X Lin, Y Wang
Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021
Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles
C Ding, H Li, W Zheng, Y Wang, N Chang, X Lin
2016 IEEE 34th International Conference on Computer Design (ICCD), 281-288, 2016
ASAP: An analytical strategy for AQFP placement
YC Chang, H Li, O Chenht, Y Wang, N Yoshikawa, TY Ho
Proceedings of the 39th International Conference on Computer-Aided Design, 1-7, 2020
Esmfl: Efficient and secure models for federated learning
S Lin, C Wang, H Li, J Deng, Y Wang, C Ding
arXiv preprint arXiv:2009.01867, 2020
Reconfigurable photovoltaic systems for electric vehicles
C Ding, H Li, W Zheng, Y Wang, X Lin
IEEE Design & Test 35 (6), 37-43, 2018
C3PO: Database and benchmark for early-stage malicious activity detection in 3D printing
Z Li, X Ma, H Li, Q An, AS Rathore, Q Qiu, W Xu, Y Wang
arXiv preprint arXiv:1803.07544, 2018
TAAS: A timing-aware analytical strategy for AQFP-Capable placement automation
P Dong, Y Xie, H Li, M Sun, O Chen, N Yoshikawa, Y Wang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 1321-1326, 2022
Towards AQFP-Capable Physical Design Automation
H Li, M Sun, T Zhang, O Chen, N Yoshikawa, B Yu, Y Wang, Y Lin
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 954-959, 2021
Image dataset for visual objects classification in 3D printing
H Li, X Ma, AS Rathore, Z Li, Q An, C Song, W Xu, Y Wang
Database and benchmark for early-stage malicious activity detection in 3D printing
X Ma, Z Li, H Li, Q An, Q Qiu, W Xu, Y Wang
2020 25th Asia and South Pacific design automation conference (ASP-DAC), 494-499, 2020
Deep compressed pneumonia detection for low-power embedded devices
H Li, S Lin, N Liu, C Ding, Y Wang
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and …, 2019
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