H
Houqiang Li
Researcher at University of Science and Technology of China
Publications - 612
Citations - 17591
Houqiang Li is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Motion compensation. The author has an hindex of 57, co-authored 520 publications receiving 12325 citations. Previous affiliations of Houqiang Li include China University of Science and Technology & Nanjing Medical University.
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Proceedings ArticleDOI
Click-through-based Subspace Learning for Image Search
TL;DR: It is demonstrated that the above two fundamental challenges can be mitigated by jointly exploring the subspace learning and the use of click-through data and the former aims to create a latent subspace with the ability in comparing information from the original incomparable views.
Journal ArticleDOI
Global-local Enhancement Network for NMFs-aware Sign Language Recognition
TL;DR: This work introduces the first non-manual features-aware isolated Chinese sign language dataset (NMFs-CSL) with a total vocabulary size of 1,067 sign words in daily life and proposes a simple yet effective architecture called GLE-Net, including two mutually promoted streams towards different crucial aspects of SLR.
Proceedings ArticleDOI
Deep Grammatical Multi-classifier for Continuous Sign Language Recognition
TL;DR: A novel deep architecture with multiple classifiers for continuous sign language recognition as a grammatical-rule-based classification problem and a greedy decoding algorithm is employed to integrate words and n-grams into the sentence based on the confidence scores provided by both modules.
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Expression and regulation of osteopontin in chronic rhinosinusitis with nasal polyps
Wanli Liu,Hui Zhong Zhang,Y. Zheng,H.-T. Wang,Fenghong Chen,L. Xu,Y. Wei,Yueqi Sun,Jianbo Shi,Houqiang Li +9 more
TL;DR: This study sought to evaluate the expression and regulation of the OPN in CRSwNP patients with suspected airway inflammation including asthma and chronic rhinosinusitis with nasal polyps.
Journal ArticleDOI
Rotamer-free protein sequence design based on deep learning and self-consistency
Yufeng Liu,Lu Zhang,Weilun Wang,Ming Zhu,Chenchen Wang,Fudong Li,Jiahai Zhang,Houqiang Li,Quan Chen,Haiyan Liu +9 more
TL;DR: ABACUS-R as mentioned in this paper uses an encoder-decoder network trained using a multitask learning strategy to predict the sidechain type of a central residue from its 3D local environment, which includes, besides other features, the types but not the conformations of the surrounding sidechains.