| Thoracic Disease Identification and Localization with Limited Supervision Z Li, C Wang, M Han, Y Xue, W Wei, LJ Li, L Fei-Fei Conference on Computer Vision and Pattern Recognition 2018, 2018 | 436 | 2018 |
| A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang 2017 IEEE 37th international conference on distributed computing systems …, 2017 | 341 | 2017 |
| CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 338 | 2017 |
| Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing A Ren, Z Li, C Ding, Q Qiu, Y Wang, J Li, X Qian, B Yuan ASPLOS 2017 - 22nd International Conference on Architectural Support for …, 2017 | 265 | 2017 |
| C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 251 | 2018 |
| Prior-aware neural network for partially-supervised multi-organ segmentation Y Zhou, Z Li, S Bai, C Wang, X Chen, M Han, E Fishman, AL Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 225 | 2019 |
| HEIF: Highly efficient stochastic computing-based inference framework for deep neural networks Z Li, J Li, A Ren, R Cai, C Ding, X Qian, J Draper, B Yuan, J Tang, Q Qiu, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 95 | 2018 |
| E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Z Li, C Ding, S Wang, W Wen, Y Zhuo, C Liu, Q Qiu, W Xu, X Lin, X Qian, ... 25th IEEE International Symposium on High-Performance Computer Architecture, 2019 | 88 | 2019 |
| Towards acceleration of deep convolutional neural networks using stochastic computing J Li, A Ren, Z Li, C Ding, B Yuan, Q Qiu, Y Wang 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 115-120, 2017 | 86 | 2017 |
| Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank L Zhao, S Liao, Y Wang, Z Li, J Tang, V Pan, B Yuan Proceedings of the 34th International Conference on Machine Learning 70 …, 2017 | 76 | 2017 |
| Dscnn: Hardware-oriented optimization for stochastic computing based deep convolutional neural networks Z Li, A Ren, J Li, Q Qiu, Y Wang, B Yuan 2016 IEEE 34th International Conference on Computer Design (ICCD), 678-681, 2016 | 64 | 2016 |
| Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks J Li, Z Yuan, Z Li, C Ding, A Ren, Q Qiu, J Draper, Y Wang 2017 International Joint Conference on Neural Networks (IJCNN), 1230-1236, 2017 | 62 | 2017 |
| Designing reconfigurable large-scale deep learning systems using stochastic computing A Ren, Z Li, Y Wang, Q Qiu, B Yuan 2016 IEEE International Conference on Rebooting Computing (ICRC), 1-7, 2016 | 53 | 2016 |
| Structural design optimization for deep convolutional neural networks using stochastic computing Z Li, A Ren, J Li, Q Qiu, B Yuan, J Draper, Y Wang Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 48 | 2017 |
| Towards ultra-high performance and energy efficiency of deep learning systems: an algorithm-hardware co-optimization framework Y Wang, C Ding, Z Li, G Yuan, S Liao, X Ma, B Yuan, X Qian, J Tang, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 45 | 2018 |
| Normalization and dropout for stochastic computing-based deep convolutional neural networks J Li, Z Yuan, Z Li, A Ren, C Ding, J Draper, S Nazarian, Q Qiu, B Yuan, ... Integration 65, 395-403, 2019 | 34 | 2019 |
| Energy-Efficient, High-Performance, Highly-Compressed Deep Neural Network Design using Block-Circulant Matrices S Liao, Z Li, X Lin, Q Qiu, Y Wang, B Yuan 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 458-465, 2017 | 32 | 2017 |
| CircConv: A Structured Convolution with Low Complexity BY Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang Proceedings of the AAAI Conference on Artificial Intelligence 33, 4287-4294, 2019 | 25 | 2019 |
| An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing X Ma, Y Zhang, G Yuan, A Ren, Z Li, J Han, J Hu, Y Wang 2018 19th International Symposium on Quality Electronic Design (ISQED), 2018 | 24 | 2018 |
| Softmax regression design for stochastic computing based deep convolutional neural networks Z Yuan, J Li, Z Li, C Ding, A Ren, B Yuan, Q Qiu, J Draper, Y Wang Proceedings of the on Great Lakes Symposium on VLSI 2017, 467-470, 2017 | 23 | 2017 |
Qinru QiuProfessor of Computer Engineering, Syracuse Universitysyr.edu의 이메일 확인됨