DexHunter: Toward Extracting Hidden Code from Packed Android Applications. - Yueqian Zhang; Xiapu Luo; Haoyang Yin (ESORICS (2), 2015)

What You See Isn't Always What You Get: A Measurement Study of Usage Fraud on Android Apps. - Wei Liu; Yueqian Zhang; Zhou Li 001; Hai-Xin Duan (SPSM@CCS, 2016)

Deep Learning-Based Detection of Fake Task Injection in Mobile Crowdsensing. - Ankkita Sood; Murat Simsek; Yueqian Zhang; Burak Kantarci (GlobalSIP, 2019)

Self Organizing Feature Map for Fake Task Attack Modelling in Mobile Crowdsensing. - Yueqian Zhang; Murat Simsek; Burak Kantarci (GLOBECOM, 2019)

Per-Dereference Verification of Temporal Heap Safety via Adaptive Context-Sensitive Analysis. - Hua Yan; Shiping Chen 001; Yulei Sui; Yueqian Zhang; Changwei Zou; Jingling Xue (SAS, 2019)

Invited Paper: AI-Based Security Design of Mobile Crowdsensing Systems: Review, Challenges and Case Studies. - Yueqian Zhang; Burak Kantarci (SOSE, 2019)

Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing. - Yueqian Zhang; Murat Simsek; Burak Kantarci (WiseML@WiSec, 2019)

Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity. - Zhiyan Chen; Yueqian Zhang; Murat Simsek; Burak Kantarci (ICC, 2020)

Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing. - Yueqian Zhang; Murat Simsek; Burak Kantarci (ICC, 2020)

Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data. - Murat Simsek; Burak Kantarci; Yueqian Zhang (IEEE Veh. Technol. Mag., 2020)

Medical CT Image Amplification And Reconstruction System. - Congcong Li; Tian Li; Quanchao Liu; Yu Bai; Yueqian Zhang; Shuwang Chen (ICDLT, 2021)

Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms. - Yueqian Zhang; Murat Simsek; Burak Kantarci (IEEE Internet Things J., 2021)

sPrintr: Towards In-Situ Personal Fabrication using a Mobile 3D Printer. - Daniel Campos Zamora; Liang He 005; Yueqian Zhang; Xuhai Xu; Jennifer Mankoff; Jon E. Froehlich (SCF, 2022)

A Holistic Functionalization Approach to Optimizing Imperative Tensor Programs in Deep Learning. - Jinming Ma; Xiuhong Li; Zihan Wang; Xingcheng Zhang; Shengen Yan; Yuting Chen 001; Yueqian Zhang; Minxi Jin; Lijuan Jiang; Yun Liang 001; Chao Yang 002; Dahua Lin (DAC, 2024)

Artificial intelligence in optical lens design. - Ai Ping Yow; Damon Wong; Yueqian Zhang; Christoph Menke; Ralf Wolleschensky; Peter Török (Artif. Intell. Rev., 2024)