Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. - Feiyang Tang; David Tse Jung Huang; Yun Sing Koh; Philippe Fournier-Viger (PRICAI (2), 2019)

MMNNN: A tree-based Multicast Mechanism for NoC-based deep Neural Network accelerators. - Yiming Ouyang; Feiyang Tang; Chunlei Hu; Wu Zhou; Qi Wang 027 (Microprocess. Microsystems, 2021)

PABAU: Privacy Analysis of Biometric API Usage. - Feiyang Tang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Assessing Software Privacy using the Privacy Flow-Graph. - Feiyang Tang; Bjarte M. Østvold (CoRR, 2022)

Identifying Personal Data Processing for Code Review. - Feiyang Tang; Bjarte M. Østvold; Magiel Bruntink (ICISSP, 2023)

User Interaction Data in Apps: Comparing Policy Claims to Implementations. - Feiyang Tang; Bjarte M. Østvold (Privacy and Identity Management, 2023)

Transparency in App Analytics: Analyzing the Collection of User Interaction Data. - Feiyang Tang; Bjarte M. Østvold (PST, 2023)

Helping Code Reviewer Prioritize: Pinpointing Personal Data and Its Processing. - Feiyang Tang; Bjarte M. Østvold; Magiel Bruntink (SoMeT, 2023)

Analytics for "interaction with the service": Surreptitious Collection of User Interaction Data. - Feiyang Tang; Bjarte M. Østvold (CoRR, 2023)

Finding Privacy-Relevant Source Code. - Feiyang Tang; Bjarte M. Østvold (SANER (Companion), 2024)

Analyzing Privacy in Software. - Feiyang Tang (2024)