scispace - formally typeset
L

Liusheng Huang

Researcher at University of Science and Technology of China

Publications -  486
Citations -  7034

Liusheng Huang is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 36, co-authored 459 publications receiving 5509 citations. Previous affiliations of Liusheng Huang include Hong Kong University of Science and Technology.

Papers
More filters
Proceedings ArticleDOI

WiFinger: talk to your smart devices with finger-grained gesture

TL;DR: WiFinger is deigned to recognize a set of finger-grained gestures, which are further used to realize continuous text input in off-the-shelf WiFi devices, and achieves up to 90.4% average classification accuracy for recognizing 9 digits finger- grained gestures from American Sign Language (ASL).
Book ChapterDOI

Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline

TL;DR: This paper presents a novel network model which can predict the bounding box and recognize the corresponding LP number simultaneously with high speed and accuracy, and demonstrates the model outperforms current object detection and recognition approaches in both accuracy and speed.
Journal ArticleDOI

Community-Aware Opportunistic Routing in Mobile Social Networks

TL;DR: This paper proposes a home-aware community model, whereby an MSN is turned into a network that only includes community homes, and proves that it can still compute the minimum expected delivery delays of nodes through a reverse Dijkstra algorithm and achieve the optimal opportunistic routing performance.
Proceedings ArticleDOI

Multi-task assignment for crowdsensing in mobile social networks

TL;DR: It is proved that the FTA algorithm is an optimal offline task assignment algorithm, and the competitive ratio of the NTA algorithm is given.
Journal ArticleDOI

FACTS: A Framework for Fault-Tolerant Composition of Transactional Web Services

TL;DR: FACTS is proposed, a framework for fault-tolerant composition of transactional Web services that combines exception handling and transaction techniques and an implementation module to automatically implement fault-handling logic in WS-BPEL.