Q
Qiang Yang
Researcher at Hong Kong University of Science and Technology
Publications - 1795
Citations - 96705
Qiang Yang is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 112, co-authored 1117 publications receiving 71540 citations. Previous affiliations of Qiang Yang include University of London & Zhejiang University of Technology.
Papers
More filters
Journal ArticleDOI
Learning action models from plan examples using weighted MAX-SAT
TL;DR: This paper develops an algorithm called ARMS (action-relation modelling system) for automatically discovering action models from a set of successful observed plans, and lays the theoretical foundations of the learning problem and evaluates the effectiveness of ARMS empirically.
Journal ArticleDOI
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
Jie Yin,Qiang Yang,Lionel M. Ni +2 more
TL;DR: This paper presents a novel algorithm, known as LEMT (Location Estimation using Model Trees), to reconstruct a radio map using real-time signal- strength readings received at the reference points, which can effectively accommodate the variations of signal strength over different time periods without the need to rebuild the radio maps repeatedly.
Proceedings ArticleDOI
Enhancing text clustering by leveraging Wikipedia semantics
TL;DR: A way to build a concept thesaurus based on the semantic relations (synonym, hypernym, and associative relation) extracted from Wikipedia is proposed and a unified framework to leverage these semantic relations in order to enhance traditional content similarity measure for text clustering is developed.
Proceedings ArticleDOI
Mining web logs for prediction models in WWW caching and prefetching
TL;DR: This paper presents an application of web log mining to obtain web-document access patterns and uses these patterns to extend the well-known GDSF caching policies and prefetching policies.
Proceedings ArticleDOI
End-to-end adversarial memory network for cross-domain sentiment classification
TL;DR: An end-to-end Adversarial Memory Network (AMN) is introduced for cross-domain sentiment classification that can automatically capture the pivots using an attention mechanism and can significantly outperform state-of-the-art methods.