Παρακολούθηση
Caiwen Ding
Caiwen Ding
Associate Professor, University of Minnesota - Twin Cities
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα umn.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
3492017
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
2762017
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
2542018
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
B Li, S Pandey, H Fang, Y Lyv, J Li, J Chen, M Xie, L Wan, H Liu, C Ding
(ISLPED) 2020 Proceedings of the ACM/IEEE International Symposium on Low …, 2020
1872020
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
1292019
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
1262018
Accelerating transformer-based deep learning models on fpgas using column balanced block pruning
H Peng, S Huang, T Geng, A Li, W Jiang, H Liu, S Wang, C Ding
2021 22nd International Symposium on Quality Electronic Design (ISQED), 142-148, 2021
1092021
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
982018
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
912019
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
892017
Tag: Gradient attack on transformer-based language models
J Deng, Y Wang, J Li, C Shang, H Liu, S Rajasekaran, C Ding
arXiv preprint arXiv:2103.06819, 2021
812021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
G Yuan, P Behnam, Z Li, A Shafiee, X Ma, H Liu, X Qian, M Bojnordi, ...
(ISCA'21) The 48th International Symposium on Computer Architecture, 2021, 2021
802021
Against Membership Inference Attack: Pruning is All You Need
Y Wang, C Wang, Z Wang, S Zhou, H Liu, J Bi, C Ding, S Rajasekaran
(IJCAI) In Proceedings of the 30th International Joint Conference on …, 2021
66*2021
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
662018
Accelerating dataset distillation via model augmentation
L Zhang, J Zhang, B Lei, S Mukherjee, X Pan, B Zhao, C Ding, Y Li, D Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
642023
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
642017
Quclassi: A hybrid deep neural network architecture based on quantum state fidelity
SA Stein, B Baheri, D Chen, Y Mao, Q Guan, A Li, S Xu, C Ding
Proceedings of Machine Learning and Systems 4, 251-264, 2022
622022
Uncertainty quantification of collaborative detection for self-driving
S Su, Y Li, S He, S Han, C Feng, C Ding, F Miao
2023 IEEE International Conference on Robotics and Automation (ICRA), 5588-5594, 2023
612023
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
602020
A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining
H Peng, S Huang, S Chen, B Li, T Geng, A Li, W Jiang, W Wen, J Bi, H Liu, ...
Proceedings of the 59th ACM/IEEE Design Automation Conference, 1135-1140, 2022
572022
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