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
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Proceedings Article
Collaborative evolution for user profiling in recommender systems
TL;DR: A novel evolutionary view of user's profile is proposed by proposing a Collaborative Evolution (CE) model, which learns the evolution ofuser's profiles through the sparse historical data in recommender systems and outputs the prospective user profile of the future.
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Semi-supervised protein subcellular localization
TL;DR: This paper presents an approach based on a new learning framework, semi-supervised learning, which can use much fewer labeled instances to construct a high quality prediction model and is shown to enhance the state-of-the-art prediction results of SVM classifiers by more than 10%.
Journal ArticleDOI
Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets
TL;DR: In this paper , a multi-stage optimal energy management system (EMS) for participating in the deregulated electricity market considering the cost of market participation and the additional cost (e.g., the purchasing natural gas cost and the depreciation cost of energy storage system) is proposed.
Proceedings Article
Constraint projections for ensemble learning
TL;DR: This paper proposes an alternative way for ensemble construction by resampling pairwise constraints that specify whether a pair of instances belongs to the same class or not, and proposes two methods for resamplings pairwise constraint following the standard Bagging and Boosting algorithms, respectively.
Proceedings ArticleDOI
Mapping Multicast Service-Oriented Virtual Networks with Delay and Delay Variation Constraints
TL;DR: A novel and efficient heuristic algorithm to tackle the VN mapping problem in the context of virtual multicast service-oriented network subject to delay and delay variation constraints (VMNDDVC) based on a sliding window approach is presented.