Made a taxonomy for devious advertisement content on Android App by doing a survey about the policies related to mobile ad content of popular app markets, media reports in news outlets, and some real-world apps that hosting devious ad contents
Involved in the implementation of DDM(Ad Deviousness Detection) Module in MadDroid framework and constructed the training set (about 1800 images) for the detection of ad click-deceptive images
Participated in finishing the paper of Characterizing and Detecting Devious Ad Content for Android Apps
Carried on project management through agile development mode(Scrum), compiled the project proposal, and designed the development scheme
Took charge of Front-end and Back-end programming, involved in UI design and database design
Investigated the technological information of popular self-driving system and the demand for intelligent identification of freight vehicles in the market
Managed the project’ s progress, wrote code that using TensorFlow API to do object recognition, tested different algorithms(Faster-RCNN, YOLO, SSD), compared their result and speed, selected SSD
Tested the obstacle avoidance ability of the car, and achieved the accuracy of human recognition up to 90%
Took charge of Vuforia SDK Installation, AR Image Recognition Realization, 3D Models and Animations make and design, Texture redesign, Music Play Realization, Video play Realization, Rotate, Scale Change and Move Improvement.
Installed Android Environment and create an APK of the Unity application, tested the APK and corrected the bugs in script.
For further information about this project, please click here
Haoyu Wang, Li Li, Feng Dong, Tegawendé F. Bissyandé, Tianming Liu, Yao Guo, Jacques Klein, Shuyang Du, Yajin Zhou and Guoai Xu, “Characterizing and Detecting Devious Ad Content for Android Apps”, ICSE 2019, Montreal, QC, Canada, Submitted, August 2018.
Hangjun Zhou, Guang Sun, Shuyang Du, Feng Liu, Bo Yang, Yaqian Zhuo,“A Control Approach Using Network Latency Interval to Preserve Real-Time Causality”, ICCCS 2018, Haikou, China, on Springer in November 2018. Link
Yang Liu, Zhen Huang, Minghao Hu, Shuyang Du, Yuxing Peng, Dongsheng Li and Xu Wang, “MFM: A Multi-level Fused Sequence Matching Model for Filtering in Multi-paragraphs Question-Answering”, Advances in Multimedia Information Processing - PCM2018, Hefei, China, on Springer in September 2018. Link