J
Jie Zhang
Researcher at Nanyang Technological University
Publications - 468
Citations - 14104
Jie Zhang is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Computer science & Recommender system. The author has an hindex of 51, co-authored 433 publications receiving 11161 citations. Previous affiliations of Jie Zhang include University of Waterloo & Northeastern University.
Papers
More filters
Journal ArticleDOI
Improved Light Harvesting and Improved Efficiency by Insertion of an Optical Spacer (ZnO) in Solution-Processed Small-Molecule Solar Cells
Aung Ko Ko Kyaw,Dong Hwan Wang,David Wynands,Jie Zhang,Thuc-Quyen Nguyen,Guillermo C. Bazan,Alan J. Heeger +6 more
TL;DR: The ZnO layer used to improve the light-harvesting increases the charge collection efficiency, serves as a blocking layer for holes, and reduces the recombination rate and the combined optical and electrical improvements raise the power conversion efficiency to 8.9%, comparable to that of polymer counterparts.
Journal ArticleDOI
Efficient Solution‐Processed Small‐Molecule Solar Cells with Inverted Structure
Aung Ko Ko Kyaw,Dong Hwan Wang,Vinay Gupta,Vinay Gupta,Jie Zhang,Suresh Chand,Guillermo C. Bazan,Alan J. Heeger +7 more
TL;DR: In inverted structure small-molecule (SM) solar cells with an efficiency of 7.88% are demonstrated using ZnO and PEIE as an interfacial layer and are relatively stable in air compared to conventional cells.
Proceedings Article
TrustSVD: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings
TL;DR: This work proposes TrustSVD, a trust-based matrix factorization technique that is the first to extend SVD++ with social trust information and achieves better accuracy than other ten counterparts, and can better handle the concerned issues.
Journal ArticleDOI
Collaborative Security: A Survey and Taxonomy
TL;DR: A comprehensive study of different mechanisms of collaboration and defense in collaborative security, covering six types of security systems, with the goal of helping to make collaborative security systems more resilient and efficient.
Proceedings Article
TopicMF: simultaneously exploiting ratings and reviews for recommendation
TL;DR: Experimental results show the superiority of the proposed novel matrix factorization model (called TopicMF) over the state-of-the-art models, demonstrating its effectiveness for recommendation tasks.