AutoQ: Automated Kernel-Wise Neural Network Quantization Q Lou, F Guo, L Liu, M Kim, L Jiang International Conference on Learning Representations (ICLR) 2020, 2019 | 86* | 2019 |
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data Q Lou, L Jiang Advances in Neural Information Processing Systems (NeurIPS) 2019, 10035-10043, 2019 | 86 | 2019 |
Holylight: A nanophotonic accelerator for deep learning in data centers W Liu, W Liu, Y Ye, Q Lou, Y Xie, L Jiang 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 76 | 2019 |
Glyph: Fast and accurately training deep neural networks on encrypted data Q Lou, B Feng, GC Fox, L Jiang NeurIPS 2020 (Advances in Neural Information Processing Systems), 2019 | 50 | 2019 |
SAFENet: A Secure, Accurate and Fast Neural Network Inference Q Lou, Y Shen, H Jin, L Jiang ICLR 2021, 2021 | 43 | 2021 |
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Q Lou, L Jiang ICML 2021, 2021 | 36 | 2021 |
LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks F Zokaee, Q Lou, N Youngblood, W Liu, Y Xie, L Jiang 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 31 | 2020 |
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference Q Lou, B Song, L Jiang NeurIPS 2020, 2020 | 25 | 2020 |
MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus L Jiang, Q Lou, N Joshi The Design Automation Conference (DAC 2022), 2022 | 20 | 2022 |
Language model compression with weighted low-rank factorization YC Hsu, T Hua, S Chang, Q Lou, Y Shen, H Jin International Conference on Learning Representations (ICLR 2022), 2022 | 20 | 2022 |
Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling Q Lou, SC Janga, L Jiang Best Paper Candidate of PACT 20 (Proceedings of the ACM International …, 2020 | 18 | 2020 |
Falcon: Fast Spectral Inference on Encrypted Data Q Lou, W Lu, C Hong, L Jiang NeurIPS 2020 (Advances in Neural Information Processing Systems) 33, 2020 | 17 | 2020 |
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU B Feng, Q Lou, L Jiang, GC Fox EMNLP 2021, 2021 | 12 | 2021 |
3dict: a reliable and qos capable mobile process-in-memory architecture for lookup-based cnns in 3d xpoint rerams Q Lou, W Wen, L Jiang 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 11 | 2018 |
coxHE: A software-hardware co-design framework for FPGA acceleration of homomorphic computation M Han, Y Zhu, Q Lou, Z Zhou, S Guo, L Ju 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 10 | 2022 |
TrojViT: Trojan Insertion in Vision Transformers M Zheng, Q Lou, L Jiang CVPR 2023, 2022 | 9 | 2022 |
Automatic Mixed-Precision Quantization Search of BERT C Zhao, T Hua, Y Shen, Q Lou, H Jin IJCAI 2021, 2021 | 9 | 2021 |
BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing Q Lou, L Jiang IEEE Computer Architecture Letters 17 (2), 241-244, 2018 | 7 | 2018 |
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition Q Lou, W Liu, W Liu, F Guo, L Jiang 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 2020 | 6 | 2020 |
Runtime and reconfiguration dual-aware placement for SRAM-NVM hybrid FPGAs Q Lou, M Zhao, L Ju, CJ Xue, J Hu, Z Jia 2017 IEEE 6th Non-Volatile Memory Systems and Applications Symposium (NVMSA …, 2017 | 4 | 2017 |