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2020 – today
- 2024
[j3]Ai Ping Yow, Damon Wong, Yueqian Zhang, Christoph Menke, Ralf Wolleschensky, Peter Török:
Artificial intelligence in optical lens design. Artif. Intell. Rev. 57(8): 193 (2024)- [c12]Jinming Ma
, Xiuhong Li, Zihan Wang, Xingcheng Zhang, Shengen Yan, Yuting Chen, Yueqian Zhang, Minxi Jin, Lijuan Jiang, Yun Liang, Chao Yang, Dahua Lin:
A Holistic Functionalization Approach to Optimizing Imperative Tensor Programs in Deep Learning. DAC 2024: 200:1-200:6 - 2022
- [c11]Daniel Campos Zamora, Liang He, Yueqian Zhang, Xuhai Xu, Jennifer Mankoff, Jon E. Froehlich:
sPrintr: Towards In-Situ Personal Fabrication using a Mobile 3D Printer. SCF 2022: 31:1-31:3 - 2021
- [j2]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms. IEEE Internet Things J. 8(3): 1334-1346 (2021) - [c10]Congcong Li, Tian Li, Quanchao Liu, Yu Bai, Yueqian Zhang, Shuwang Chen:
Medical CT Image Amplification And Reconstruction System. ICDLT 2021: 40-45 - 2020
- [j1]Murat Simsek, Burak Kantarci, Yueqian Zhang:
Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data. IEEE Veh. Technol. Mag. 15(3): 86-94 (2020) - [c9]Zhiyan Chen, Yueqian Zhang, Murat Simsek, Burak Kantarci:
Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity. ICC 2020: 1-7 - [c8]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing. ICC 2020: 1-7
2010 – 2019
- 2019
- [c7]Ankkita Sood, Murat Simsek, Yueqian Zhang, Burak Kantarci:
Deep Learning-Based Detection of Fake Task Injection in Mobile Crowdsensing. GlobalSIP 2019: 1-5 - [c6]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Self Organizing Feature Map for Fake Task Attack Modelling in Mobile Crowdsensing. GLOBECOM 2019: 1-6 - [c5]Hua Yan, Shiping Chen, Yulei Sui, Yueqian Zhang, Changwei Zou, Jingling Xue:
Per-Dereference Verification of Temporal Heap Safety via Adaptive Context-Sensitive Analysis. SAS 2019: 48-72 - [c4]Yueqian Zhang, Burak Kantarci:
Invited Paper: AI-Based Security Design of Mobile Crowdsensing Systems: Review, Challenges and Case Studies. SOSE 2019 - [c3]Yueqian Zhang, Murat Simsek, Burak Kantarci:
Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing. WiseML@WiSec 2019: 31-36 - 2016
- [c2]Wei Liu, Yueqian Zhang, Zhou Li, Hai-Xin Duan:
What You See Isn't Always What You Get: A Measurement Study of Usage Fraud on Android Apps. SPSM@CCS 2016: 23-32 - 2015
- [c1]Yueqian Zhang, Xiapu Luo, Haoyang Yin:
DexHunter: Toward Extracting Hidden Code from Packed Android Applications. ESORICS (2) 2015: 293-311
Coauthor Index
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