Demo Data from EDBT 2026 / reviewers in the wild / expert
Jianqiang Yao
dblp:215/3841
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Efficient and distributed learning · 75% Deep learning architectures and training · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning
model compression |
0.3 | 1 | 2018 | Alternating Multi-bit Quantization for Recurrent Neural Networks · ICLR (Poster) 2018 |
Machine learning › Efficient and distributed learning › model compression › quantization
multi-bit quantization |
0.3 | 1 | 2018 | Alternating Multi-bit Quantization for Recurrent Neural Networks · ICLR (Poster) 2018 |
Machine learning › Efficient and distributed learning › model compression
quantization |
0.3 | 1 | 2018 | Alternating Multi-bit Quantization for Recurrent Neural Networks · ICLR (Poster) 2018 |
Machine learning › Deep learning architectures and training
recurrent neural network |
0.3 | 1 | 2018 | Alternating Multi-bit Quantization for Recurrent Neural Networks · ICLR (Poster) 2018 |
Methods — techniques the papers use, named apart from their topics
alternating quantization · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Alternating Multi-bit Quantization for Recurrent Neural Networks
Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha |
ICLR (Poster) | 2 |