Neural Data Compression is a computational method that reduces the volume of neural recordings by eliminating redundant or non-informative components while preserving biologically relevant signal characteristics for efficient storage, transmission, and analysis.
252
Publications
11.2K
Citations
904
Authors
358
Institutions
Publications per year
2017–2026
153
Publications
252
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
Lei Deng, Guoqi Li, Song Han et al. · Proceedings of the IEEE · 2020 · 927 citations
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin, Ruihao Gong, Xianglong Liu et al. · 2020 · 340 citations
Neural Video Compression with Diverse Contexts
1–5 of 252
Authors
904
- EA
6
h-index
- LD
5
h-index
- GL
5
h-index
- BS
4
h-index
- WW
4
h-index
1–5 of 904
Institutions
358
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
27 publications
2.2K citations
Tsinghua University
Beijing, China
7 h-index
14 publications
3.2K citations
Chinese Academy of Sciences
Beijing, China
7 h-index
18 publications
937 citations
Peking University
Beijing, China
6 h-index
15 publications
443 citations
Stanford University
Stanford, United States
6 h-index
25 publications
1.1K citations
Harvard University
Cambridge, United States
5 h-index
11 publications
446 citations
Qualcomm (United Kingdom)
Farnborough, United Kingdom
5 h-index
22 publications
345 citations
Xi'an Jiaotong University
Xi'an, China
4 h-index
11 publications
366 citations
1–8 of 358
Venues
- arXiv (Cornell University)
Repository · 38 publications · 1.4K citations
24
h-index
- IEEE Transactions on Biomedical Circuits and Systems
10 publications · 464 citations
10
h-index
- Neurocomputing
8 publications · 361 citations
8
h-index
- IEEE Transactions on Neural Networks and Learning Systems
4 publications · 178 citations
4
h-index
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 3 publications · 454 citations
3
h-index
1–5