| 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 | 124 | 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 | 92 | 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 | 67 | 2018 |
| 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 | 34 | 2018 |
| 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 Great Lakes Symposium on VLSI, 501-506, 2019 | 33 | 2019 |
| 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 | 29 | 2020 |
| 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 | 29 | 2017 |
| 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 | 25 | 2020 |
| 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 | 17 | 2022 |
| 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 | 15 | 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 | 14 | 2021 |
| 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 | 13 | 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 | 10 | 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 | 9 | 2022 |
| 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 | 9 | 2016 |
| 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 | 6 | 2021 |
| 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 | 6 | 2018 |
| 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 | 2 | 2018 |
| 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 | 1 | 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 | 1 | 2019 |
Yanzhi WangNortheastern UniversityBestätigte E-Mail-Adresse bei northeastern.edu
