Quantization of fully convolutional networks for accurate biomedical image segmentation X Xu, Q Lu, L Yang, S Hu, D Chen, Y Hu, Y Shi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 112 | 2018 |
On neural architecture search for resource-constrained hardware platforms Q Lu, W Jiang, X Xu, Y Shi, J Hu arXiv preprint arXiv:1911.00105, 2019 | 87 | 2019 |
A 3.0 Gb/s throughput hardware-efficient decoder for cyclically-coupled QC-LDPC codes Q Lu, J Fan, CW Sham, WM Tam, FCM Lau IEEE Transactions on Circuits and Systems I: Regular Papers 63 (1), 134-145, 2016 | 37 | 2016 |
Accelerating dynamic time warping with memristor-based customized fabrics X Xu, F Lin, A Wang, X Yao, Q Lu, W Xu, Y Shi, Y Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 33 | 2017 |
Nass: Optimizing secure inference via neural architecture search S Bian, W Jiang, Q Lu, Y Shi, T Sato arXiv preprint arXiv:2001.11854, 2020 | 27 | 2020 |
A parallel-routing network for reliability inferences of single-parity-check decoder Q Lu, Z Shen, CW Sham, FCM Lau 2015 International Conference on Advanced Technologies for Communications …, 2015 | 26 | 2015 |
Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks X Xu, Q Lu, T Wang, J Liu, C Zhuo, XS Hu, Y Shi 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 880-887, 2017 | 23 | 2017 |
Efficient hardware implementation of cellular neural networks with incremental quantization and early exit X Xu, Q Lu, T Wang, Y Hu, C Zhuo, J Liu, Y Shi ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (4), 1-20, 2018 | 22 | 2018 |
Quantization of deep neural networks for accurate edge computing W Chen, H Qiu, J Zhuang, C Zhang, Y Hu, Q Lu, T Wang, Y Shi, M Huang, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-11, 2021 | 21 | 2021 |
Resource constrained cellular neural networks for real-time obstacle detection using fpgas X Xu, T Wang, Q Lu, Y Shi 2018 19th International Symposium on Quality Electronic Design (ISQED), 437-440, 2018 | 15 | 2018 |
Rapid prototyping of multi-mode QC-LDPC decoder for 802.11 n/ac standard Q Lu, CW Sham, FCM Lau 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 19-20, 2016 | 11 | 2016 |
A high throughput Gaussian noise generator Q Lu, J Fan, CW Sham, FCM Lau 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 117-120, 2014 | 9 | 2014 |
Decoder architecture for cyclically-coupled quasi-cyclic low-density parity-check codes S Chiu-Wing, FAN Jianfeng, WM Tam, Q Lu, CM Lau US Patent 9,825,650, 2017 | 6 | 2017 |
Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization X Xu, Q Lu, T Wang, J Liu, Y Hu, Y Shi Proceedings of the Neuromorphic Computing Symposium, 1-10, 2017 | 6 | 2017 |
On using the cyclically-coupled qc-ldpc codes in future ssds Q Lu, CW Sham, FCM Lau 2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 625-628, 2016 | 6 | 2016 |
RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation Q Lu, X Xu, S Dong, C Hao, L Yang, C Zhuo, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 4 | 2022 |
A mining pool solution for novel proof-of-neural-architecture consensus B Li, Q Lu, W Jiang, T Jung, Y Shi 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-3, 2021 | 4 | 2021 |
Fgnas: Fpga-aware graph neural architecture search Q Lu, W Jiang, M Jiang, J Hu, S Dasgupta, Y Shi | 4 | 2020 |
Novel types of cyclically-coupled quasi-cyclic LDPC block codes FCM Lau, F Mo, Q Lu, WM Tarn, CW Sham 2016 International Conference on Advanced Technologies for Communications …, 2016 | 3 | 2016 |
An architecture-algorithm co-design of artificial intelligence for Trax player Q Lu, CW Sham, FCM Lau 2015 International Conference on Field Programmable Technology (FPT), 264-267, 2015 | 3 | 2015 |