Caiwen Ding
Caiwen Ding
Assistant Professor, University of Connecticut
Dirección de correo verificada de uconn.edu - Página principal
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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, ...
(MICRO) Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
1522017
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 Intl Conf on Architectural Support for Programming Languages …, 2017
1202017
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
(FPGA) Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
982018
Towards acceleration of deep convolutional neural networks using stochastic computing
J Li, A Ren, Z Li, C Ding, B Yuan, Q Qiu, Y Wang
(ASP-DAC) 2017 22nd Asia and South Pacific Design Automation Conference, 115-120, 2017
432017
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
(IJCNN) 2017 International Joint Conference on Neural Networks, 1230-1236, 2017
362017
VIBNN: Hardware acceleration of Bayesian neural networks
R Cai, A Ren, N Liu, C Ding, L Wang, X Qian, M Pedram, Y Wang
(ASPLOS) Proceedings of the 23rd International Conference on Architectural …, 2018
322018
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, ...
(HPCA) 2019 IEEE International Symposium on High Performance Computer …, 2019
282019
Multisource indoor energy harvesting for nonvolatile processors
C Ding, N Liu, Y Wang, J Li, S Heidari, J Hu, Y Liu
IEEE Design & Test 34 (3), 42-49, 2017
232017
Multi-source in-door energy harvesting for non-volatile processors
C Ding, S Heidari, Y Wang, Y Liu, J Hu
(ISCAS) IEEE International Symposium on Circuits and Systems, 2016
232016
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, ...
(AAAI) Thirty-Second AAAI Conference on Artificial Intelligence, 2018
212018
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs
C Ding, S Wang, N Liu, K Xu, Y Wang, Y Liang
(FPGA) Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
202019
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, ...
(TCAD) IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
202018
Fft-based deep learning deployment in embedded systems
S Lin, N Liu, M Nazemi, H Li, C Ding, Y Wang, M Pedram
(DATE) 2018 Design, Automation & Test in Europe Conference & Exhibition …, 2018
202018
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
162019
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
162017
Efficient recurrent neural networks using structured matrices in fpgas
Z Li, S Wang, C Ding, Q Qiu, Y Wang, Y Liang
ICLR workshop, 2018
132018
Structured weight matrices-based hardware accelerators in deep neural networks: Fpgas and asics
C Ding, A Ren, G Yuan, X Ma, J Li, N Liu, B Yuan, Y Wang
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 353-358, 2018
112018
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
X Ma, G Yuan, S Lin, C Ding, F Yu, T Liu, W Wen, X Chen, Y Wang
25th Asia and South Pacific Design Automation Conference (ASP-DAC), 2020
102020
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology
R Cai, A Ren, O Chen, N Liu, C Ding, X Qian, J Han, W Luo, N Yoshikawa, ...
(ISCA) 2019 ACM/IEEE 46th Annual International Symposium on Computer …, 2019
92019
Multi-source energy harvesting management and optimization for non-volatile processors
S Heidari, C Ding, Y Liu, Y Wang, J Hu
2015 Sixth International Green and Sustainable Computing Conference (IGSC), 1-2, 2015
92015
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