Paper Search Results
Home Page
More Results
Recommendations from ProNE (based on Citation Graph)
AuthorId: 2057185367
Limit: 10
Sort by: score
Embedding: s2_recommendations
IP address: 3.136.19.124
Freq flyer: False
authorId(s): 2057185367
Author(s): Cheng Gong
score
citationCount
Paper
Authors
year
More like this
Compare & Contrast
ProNE-s
SciNCL
Specter
GNN
1033
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan
,
Cheng Gong
, ...,
A. Borji
2018
Similar to this
Compare & Contrast
41
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization
Cheng Gong
,
Yao Chen
, ...,
Deming Chen
2020
Similar to this
Compare & Contrast
32
T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA
Yao Chen
,
Kaili Zhang
, ...,
Deming Chen
2019
Similar to this
Compare & Contrast
17
µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression
Cheng Gong
,
Tao Li
, ...,
Yao Chen
2019
Similar to this
Compare & Contrast
7
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Cheng Gong
,
Ye Lu
, ...,
Yanzhi Wang
2021
Similar to this
Compare & Contrast
0
Minimize Quantization Output Error with Bias Compensation
Cheng Gong
,
Haoshuai Zheng
, ...,
Tao Li
2024
Similar to this
Compare & Contrast
0
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
Cheng Gong
,
Yao Chen
, ...,
Le Zhang
2024
Similar to this
Compare & Contrast
0
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks
Cheng Gong
,
Ye Lu
, ...,
Tao Li
2023
Similar to this
Compare & Contrast
0
OSN: Onion-ring support neighbors for correspondence selection
Cheng Gong
,
Ye Lu
, ...,
Kai Wang
2021
Similar to this
Compare & Contrast
0
LHC: A Low-Power Heterogeneous Computing Method on Neural Network Accelerator
Fangxin Liu
,
Kunpeng Xie
, ...,
Tao Li
2019
Similar to this
Compare & Contrast
Help
Bulk Download
GitHub
Final Report (YouTube)
JSALT-2023
Contact us (by email)
BETA Version