Adabits: Neural network quantization with adaptive bit-widths Q Jin, L Yang, Z Liao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 130 | 2020 |
Fracbits: Mixed precision quantization via fractional bit-widths L Yang, Q Jin Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10612 …, 2021 | 64 | 2021 |
CAP-RAM: A charge-domain in-memory computing 6T-SRAM for accurate and precision-programmable CNN inference Z Chen, Z Yu, Q Jin, Y He, J Wang, S Lin, D Li, Y Wang, K Yang IEEE Journal of Solid-State Circuits 56 (6), 1924-1935, 2021 | 59 | 2021 |
Teachers do more than teach: Compressing image-to-image models Q Jin, J Ren, OJ Woodford, J Wang, G Yuan, Y Wang, S Tulyakov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 55 | 2021 |
Towards efficient training for neural network quantization Q Jin, L Yang, Z Liao arXiv preprint arXiv:1912.10207, 2019 | 47 | 2019 |
Snapfusion: Text-to-image diffusion model on mobile devices within two seconds Y Li, H Wang, Q Jin, J Hu, P Chemerys, Y Fu, Y Wang, S Tulyakov, J Ren Advances in Neural Information Processing Systems 36, 2024 | 40 | 2024 |
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 | 38 | 2021 |
Lottery ticket preserves weight correlation: Is it desirable or not? N Liu, G Yuan, Z Che, X Shen, X Ma, Q Jin, J Ren, J Tang, S Liu, Y Wang International Conference on Machine Learning, 7011-7020, 2021 | 31 | 2021 |
F8net: Fixed-point 8-bit only multiplication for network quantization Q Jin, J Ren, R Zhuang, S Hanumante, Z Li, Z Chen, Y Wang, K Yang, ... arXiv preprint arXiv:2202.05239, 2022 | 28 | 2022 |
Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration Z Li, G Yuan, W Niu, P Zhao, Y Li, Y Cai, X Shen, Z Zhan, Z Kong, Q Jin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
A 0.84 pJ/cycle wheatstone bridge based CMOS RC oscillator with reconfigurable frequencies P Chen, D Li, Z Yu, Q Jin, K Yang 2019 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2019 | 21 | 2019 |
Neural Network Quantization with Scale-Adjusted Training. Q Jin, L Yang, Z Liao, X Qian BMVC, 2020 | 13 | 2020 |
MC2-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding Z Chen, Q Jin, J Wang, Y Wang, K Yang 2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021 | 10 | 2021 |
DCT-RAM: A driver-free process-in-memory 8T SRAM macro with multi-bit charge-domain computation and time-domain quantization Z Chen, Q Jin, Z Yu, Y Wang, K Yang 2022 IEEE Custom Integrated Circuits Conference (CICC), 1-2, 2022 | 8 | 2022 |
A transformer-based filtering technique to lower LC-oscillator phase noise Q Jin, K Yang, C Zhou, D Yang, L Zhang, Y Wang, Z Yu, W Geng 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 1383-1386, 2012 | 3 | 2012 |
Towards real-time segmentation on the edge Y Li, C Yang, P Zhao, G Yuan, W Niu, J Guan, H Tang, M Qin, Q Jin, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1468-1476, 2023 | 2 | 2023 |
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding G Yuan, SE Chang, Q Jin, A Lu, Y Li, Y Wu, Z Kong, Y Xie, P Dong, M Qin, ... European Conference on Computer Vision, 34-51, 2022 | 2 | 2022 |
Lottery ticket implies accuracy degradation, is it a desirable phenomenon N Liu, G Yuan, Z Che, X Shen, X Ma, Q Jin, J Ren, J Tang, S Liu, Y Wang CoRR, 2021 | 2 | 2021 |
Rethinking Neural Network Quantization Q Jin, L Yang, Z Liao | 1 | 2019 |
EGAN: Efficient Training of Efficient GANs for Image-to-Image Translation Y Gong, Z Zhan, Q Jin, Y Li, Y Idelbayev, X Liu, A Zharkov, K Aberman, ... arXiv preprint arXiv:2401.06127, 2024 | | 2024 |