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2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile (AI4Mobile), February 24, 2019, Hangzhou, China

AI4Mobile 2019 – Proceedings

Contents - Abstracts - Authors

2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile (AI4Mobile)

Title Page
Article: sanerws19aimobileforeword-fm000-p (type: Frontmatter) doi:

Message from the Chairs
Article: sanerws19aimobileforeword-fm001-p (type: Frontmatter) doi:

A Mobile Application for Tree Classification and Canopy Calculation using Machine Learning
Kangyi Wang, Yunjie Jia, Ruixi Huo, and Richard Sinnott
(University of Melbourne, Australia)
Article: sanerws19aimobilemain-id3-p (type: Full Paper (6 pages)) doi:

A Mobile Application for Cat Detection and Breed Recognition Based on Deep Learning
Xiaolu Zhang, Luyang Yang, and Richard Sinnott
(University of Melbourne, Australia)
Article: sanerws19aimobilemain-id2-p (type: Full Paper (6 pages)) doi:

Automated Cross-Platform GUI Code Generation for Mobile Apps
Sen Chen, Lingling Fan, Ting Su, Lei Ma, Yang Liu, and Lihua Xu
(Nanyang Technological University, Singapore; Harbin Institute of Technology, China; NYU Shanghai, China)
Article: sanerws19aimobilemain-id6-p (type: Short Paper (4 pages)) doi:

Adversarial Attacks on Mobile Malware Detection
Maryam Shahpasand, Len Hamey, Dinusha Vatsalan, and Minhui Xue
(Macquarie University, Australia; Data61 at CSIRO, Australia)
Article: sanerws19aimobilemain-id4-p (type: Short Paper (4 pages)) doi:

How Can We Craft Large-Scale Android Malware? An Automated Poisoning Attack
Sen Chen, Minhui Xue, Lingling Fan, Lei Ma, Yang Liu, and Lihua Xu
(Nanyang Technological University, Singapore; Macquarie University, Australia; Harbin Institute of Technology, China; NYU Shanghai, China)
Article: sanerws19aimobilemain-id5-p (type: Short Paper (4 pages)) doi:

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