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1708.08917
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CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
29 August 2017
Caiwen Ding
Siyu Liao
Yanzhi Wang
Zhe Li
Ning Liu
Youwei Zhuo
Chao Wang
Xuehai Qian
Y. Bai
Geng Yuan
Xiaolong Ma
Yipeng Zhang
Jian Tang
Qinru Qiu
X. Lin
Bo Yuan
GNN
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Papers citing
"CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices"
46 / 46 papers shown
Title
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
Xinyu Ding
Lexuan Chen
Siyu Liao
Zhongfeng Wang
52
0
0
01 May 2025
Block Circulant Adapter for Large Language Models
Xinyu Ding
Meiqi Wang
Siyu Liao
Zhongfeng Wang
38
0
0
01 May 2025
A Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression
Shupeng Ning
Hanqing Zhu
Chenghao Feng
Jiaqi Gu
David Z. Pan
Ray T. Chen
42
0
0
01 Feb 2025
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Yuxin Zhang
Lirui Zhao
Mingbao Lin
Yunyun Sun
Yiwu Yao
Xingjia Han
Jared Tanner
Shiwei Liu
Rongrong Ji
SyDa
45
40
0
13 Oct 2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shangli Zhou
Mikhail A. Bragin
Lynn Pepin
Deniz Gurevin
Fei Miao
Caiwen Ding
18
3
0
08 Apr 2023
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks
Shangli Zhou
Yingjie Li
Minhan Lou
Weilu Gao
Zhijie Shi
Cunxi Yu
Caiwen Ding
33
2
0
04 Apr 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Min-hee Yoo
Jaeyong Song
Hyeyoon Lee
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
GNN
48
5
0
24 Jan 2023
Towards Sparsification of Graph Neural Networks
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
30
24
0
11 Sep 2022
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity
Zhuoran Song
Yihong Xu
Han Li
Naifeng Jing
Xiaoyao Liang
Li Jiang
29
3
0
11 Mar 2022
A Secure and Efficient Federated Learning Framework for NLP
Jieren Deng
Chenghong Wang
Xianrui Meng
Yijue Wang
Ji Li
Sheng Lin
Shuo Han
Fei Miao
Sanguthevar Rajasekaran
Caiwen Ding
FedML
77
22
0
28 Jan 2022
A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning
Chenghao Feng
Jiaqi Gu
Hanqing Zhu
Zhoufeng Ying
Zheng Zhao
David Z. Pan
Ray T. Chen
22
39
0
11 Nov 2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
Atefeh Sohrabizadeh
Yuze Chi
Jason Cong
GNN
29
1
0
10 Nov 2021
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
Mahmood Azhar Qureshi
Arslan Munir
30
0
0
09 Nov 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
33
129
0
26 Oct 2021
Global Filter Networks for Image Classification
Yongming Rao
Wenliang Zhao
Zheng Zhu
Jiwen Lu
Jie Zhou
ViT
28
451
0
01 Jul 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
Geng Yuan
Payman Behnam
Zhengang Li
Ali Shafiee
Sheng Lin
...
Hang Liu
Xuehai Qian
M. N. Bojnordi
Yanzhi Wang
Caiwen Ding
24
68
0
16 Jun 2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging
Chao-Tsung Huang
40
10
0
19 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
36
32
0
13 Apr 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
Stylianos I. Venieris
Javier Fernandez-Marques
Nicholas D. Lane
24
11
0
09 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
39
54
0
05 Mar 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Juhyoung Lee
Sangyeob Kim
Sangjin Kim
Wooyoung Jo
H. Yoo
OffRL
21
9
0
24 Jan 2021
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice
Nir Ailon
Omer Leibovitch
Vineet Nair
15
14
0
17 Jul 2020
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
Bingbing Li
Santosh Pandey
Haowen Fang
Yanjun Lyv
Ji Li
Jieyang Chen
Mimi Xie
Lipeng Wan
Hang Liu
Caiwen Ding
AI4CE
16
168
0
16 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
59
82
0
02 Jul 2020
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
S. Zafeiriou
29
92
0
20 Jun 2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Chunhua Deng
Siyu Liao
Yi Xie
Keshab K. Parhi
Xuehai Qian
Bo Yuan
38
93
0
23 Apr 2020
Π
−
Π-
Π
−
nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
S. Zafeiriou
29
59
0
08 Mar 2020
Defending against Backdoor Attack on Deep Neural Networks
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Pu Zhao
X. Lin
Xue Lin
AAML
21
47
0
26 Feb 2020
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs
Caiwen Ding
Shuo Wang
Ning Liu
Kaidi Xu
Yanzhi Wang
Yun Liang
MQ
18
89
0
29 Sep 2019
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
Xiaolong Ma
Geng Yuan
Sheng Lin
Caiwen Ding
Fuxun Yu
Tao Liu
Wujie Wen
Xiang Chen
Yanzhi Wang
MQ
12
45
0
27 Aug 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Chu Zhou
Igor Fedorov
Ganesh S. Dasika
Matthew Mattina
27
36
0
07 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Keivan Alizadeh-Vahid
Anish K. Prabhu
Ali Farhadi
Mohammad Rastegari
32
50
0
05 Jun 2019
CircConv: A Structured Convolution with Low Complexity
Siyu Liao
Zhe Li
Liang Zhao
Qinru Qiu
Yanzhi Wang
Bo Yuan
19
18
0
28 Feb 2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
P. Whatmough
Chuteng Zhou
Patrick Hansen
S. Venkataramanaiah
Jae-sun Seo
Matthew Mattina
15
57
0
27 Feb 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren
Tianyun Zhang
Shaokai Ye
Jiayu Li
Wenyao Xu
Xuehai Qian
X. Lin
Yanzhi Wang
MQ
34
161
0
31 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Zhe Li
Caiwen Ding
Siyue Wang
Wujie Wen
Youwei Zhuo
...
Qinru Qiu
Wenyao Xu
X. Lin
Xuehai Qian
Yanzhi Wang
MQ
12
64
0
12 Dec 2018
Building Efficient Deep Neural Networks with Unitary Group Convolutions
Ritchie Zhao
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang
21
28
0
19 Nov 2018
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
27
40
0
04 Oct 2018
Deep Learning Towards Mobile Applications
Ji Wang
Bokai Cao
Philip S. Yu
Lichao Sun
Weidong Bao
Xiaomin Zhu
HAI
32
98
0
10 Sep 2018
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang
Jianguo Zhang
Weidong Bao
Xiaomin Zhu
Bokai Cao
Philip S. Yu
26
193
0
10 Sep 2018
Restructuring Batch Normalization to Accelerate CNN Training
Wonkyung Jung
Daejin Jung
and Byeongho Kim
Sunjung Lee
Wonjong Rhee
Jung Ho Ahn
24
62
0
04 Jul 2018
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
Yuhao Zhu
A. Samajdar
Matthew Mattina
P. Whatmough
32
87
0
29 Mar 2018
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs
Zhe Li
Shuo Wang
Caiwen Ding
Qinru Qiu
Yanzhi Wang
Yun Liang
GNN
14
21
0
20 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
Bojian Zheng
Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
25
80
0
16 Mar 2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs
Shuo Wang
Zhe Li
Caiwen Ding
Bo Yuan
Yanzhi Wang
Qinru Qiu
Yun Liang
20
192
0
14 Mar 2018
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
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