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Shao-Bo Wang

dblp:91/2526 · DBLP profile ↗
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4ranked-venue papers
1as 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 · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
Learning theory · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning theory › margin-based learning
large margin classification
0.212016
Graph Quality Judgement: A Large Margin Expedition · IJCAI 2016

Methods — techniques the papers use, named apart from their topics

large margin · 0.2
YearPublicationVenuePosition
2018 Instance selection method for improving graph-based semi-supervised learning
Shao-Bo Wang, Yufeng Li 0008
Frontiers Comput. Sci.2
2016 Graph Quality Judgement: A Large Margin Expedition
Yufeng Li 0008, Shao-Bo Wang, Zhi-Hua Zhou
IJCAI2
2016 Instance Selection Method for Improving Graph-Based Semi-supervised Learning
Shao-Bo Wang, Yufeng Li 0008
PRICAI2
2007 H.264 Intra Prediction Architecture Optimization
abstract
This paper proposes an optimized H.264 Intra Prediction arithmetic to reduce the time required to complete the intra prediction by saving ninety percent waste time during the process of intra prediction. Firstly, the 16×16 luminance prediction can be decomposed equally into 16 parts and inserted into the same macro-block's 4×4 luminance prediction to save the 16×16 luminance prediction time in one macro-block's luminance prediction. Then, by means of changing the computation sequence of 4×4 luminance prediction, a large amount of waiting time between 4×4 blocks' luminance predictions can be further removed. Almost all the waste time can be reused or eliminated by these optimizations. At the last part of this paper, an optimized hardware implementation aiming at fitting to the whole H.264 video coding system and a method to realize 16×16 luminance DC prediction on it are proposed.
Shao-Bo Wang, Xiaolin Zhang 0002
ICME1