ABOUT
Hi! This is Lucile (Ya-Ting) Yang, a Ph.D. candidate in Electrical and Computer Engineering, New York University (NYU). I got my bachelor’s degree in Electrical Engineering from National Tsing Hua University (NTHU) and my master’s degree in Communication Engineering from National Taiwan University (NTU).
Education
New York University (2022/09-now)
Ph.D. candidate in Electrical and Computer Engineering (GPA 3.84/4.0)
National Taiwan University (2020/07-2022/08)
M.S. in Graduate Institute of Communication Engineering (GPA 4.18/4.3)
Master’s Thesis: Game-Theoretic Resource Management for Decomposable DNN Inference in Edge-IoT Framework (Advisor: Prof. Hung-Yu Wei )
Bilkent University (2019/09-2020/01)
Exchange in Computer Technology and Information Systems (GPA 3.9/4.0)
National Tsing Hua University (2016/09-2020/06)
B.S. from Department of Electrical Engineering (GPA 4.2/4.3, ranking 2/122)
Award
- Honorary Membership of the Society by NTHU, The Phi Tau Phi Scholastic Honor Society of the Republic of China
- NTHU Student Study Abroad Scholarship, 2019
- NTHU Academic Excellence Award * 3, 2016-2020
- GameSec 2022 Conference Student Travel Grant, 2022
- NYU School of Engineering (SOE) Fellowship, 2022-2023
- NYU Ernst Weber Fellowship, 2023-2024
Experiences and Projects
Laboratory for Agile and Resilient Systems, NYU (2022/09-now)
Combating Misinformation on Online Social Platform
- Proposed a three-player Bayesian persuasion game to capture interactions between the online social platform, content creator, and user, where the multi-type branching process is utilized to model the spread of misinformation content.
PRADA: Proactive Risk Assessment of Demand Attacks
- Proposed a Stackelberg game-based framework for holistic proactive risk assessment of misinformed demand attacks on route recommendations.
- Developed a trust mechanism that leverages users’ confidence in the integrity of the recommendation system.
Adaptive Navigational Recommendations for Urban Transportation
- Introduced an incentive-compatible route recommendation, considering user noncompliance and non-user driver behavior.
- Developed route update schemes based on projected gradient descent to help users adapt to rapidly changing traffic conditions.
Herd Accountability from Auditing Privacy-Preserving Algorithms
- Proposed an audit framework based on the rational inattention model to capture how users’ information access impacts audit performance.
- Utilized the Stackelberg game to analyze how herd accountability influences the developers’ privacy adherence and hence building user trust.
Urban Traffic-responsive Tilt Camera Surveillance System
- Designed a camera tilt online control system for urban traffic management using GNN transformers for prediction based on real-time traffic simulation data from SUMO.
Wireless Mobile Network Lab, NTU (2020/08-2022/08)
Privacy and Energy-Aware Split Deep Learning in Edge Camera Network
- Formulated the user association problem in edge networks, addressing multi-view detection, privacy, and power savings through split-ML.
- Proposed a coalition formation method to solve the NP-hard set partition problem heuristically, proving convergence and stability.
Resource Allocation for Decomposable DNN in Edge–IoT Framework
- Explored layer-level decomposition for flexible networking and computing resource allocation.
- Utilized a VCG-based mechanism for management under accuracy and FPS requirements in image/video recognition applications.
Production Control Exploiting 5G-enabled IIoT and Edge Computing
- Pioneered an interdisciplinary project seeking to boost production efficiency with AI-assisted video analytics and 5G edge computing by solving resource allocation and configuration issues using optimization techniques and game theory.
Logitech Far East Ltd (2020/03-2020/06)
Electrical Engineering Intern
- Developed an improvement proposal for the G915 TKL keyboard based on cross-team discussions and user interviews.
- Disassembled the model, added firmware codes and modified the circuit board to build a prototype with gesture control.
Publication
Journal
- Ya-Ting Yang, Tao Zhang, and Quanyan Zhu, “Herd Accountability of Privacy-Preserving Algorithms: A Stackelberg Game Approach,” submitted to IEEE Transactions on Information Forensics and Security, 2024
- Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Kaan Ozbay, “Multi-level Traffic-responsive Tilt Camera Surveillance through Predictive Correlated Online Learning,” accepted and to appear, Transportation Research Part C, 2024.
- Ya-Ting Yang and Hung-Yu Wei, “A Coalition Formation Approach for Privacy and Energy-Aware Split Deep Learning Inference in Edge Camera Network,” IEEE Transactions on Network and Service Management, Volume 20, Issue 3, Page 3673-3685, Sept. 2023.
- Ya-Ting Yang and Hung-Yu Wei, “Edge-IoT Computing and Networking Resource Allocation for Decomposable Deep Learning Inference,” IEEE Internet of Things Journal, Volume 10, Issue 6, Page 5178-5193, Mar. 2023.
- Kai-Jung Fu, Ya-Ting Yang, and Hung-Yu Wei, “Split Computing Video Analytics Performance Enhancement with Auction-based Resource Management,” IEEE Access, Volume 10, Page 106495 - 106505, Oct. 2022.
Conference
- Ya-Ting Yang, Tao Zhang, and Quanyan Zhu, “A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd,” GameSec 2023.
- Ya-Ting Yang, Tao Li, and Quanyan Zhu, “Designing Policies for Truth: Combating Misinformation with Transparency and Information Design,” WiOpt 2023.
- Ya-Ting Yang and Hung-Yu Wei, “Edge Computing and Networking Resource Management for Decomposable Deep Learning: An Auction-Based Approach,” APNOMS, Sept. 2021.
Arxiv preprint
- Ya-Ting Yang, Haozhe Lei, and Quanyan Zhu, “PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations,” arXiv preprint arXiv:2409.00243, 2024.
- Ya-Ting Yang, Haozhe Lei, and Quanyan Zhu, “Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks,” arXiv preprint arXiv:2409.00236, 2024.
- Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Kaan Ozbay, “Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management,” arXiv preprint arXiv:2407.15025, 2024.
- Ya-Ting Yang, Haozhe Lei, and Quanyan Zhu, “Strategic information attacks on incentive-compatible navigational recommendations in intelligent transportation systems,” arXiv preprint arXiv:2310.01646, 2023.
Skill
English
- TOEFL 101
- TOEIC 865
Programming
- C/C++, HTML/CSS, Python (including PyTorch and OpenCV), Java, Verilog
Extracurricular Activities and Leadership
Community Services
- As a reviewer for IEEE Transactions on Industrial Informatics (2022)
- As a reviewer for IEEE Internet of Things Journal (2023)
- As a revierew for IEEE Conference on Communications and Network Security (CNS): Cyber Resilience Workshop (2024)
- Organize the 1st NYC Cybersecurity Day workshop (2023): event website
- Organize the Inaugural NYC Intelligent Transportation System Workshop (2024): event website
- Serve as website chair for the 2024 Conference on Game Theory and AI for Security: website
Volunteer
- Bal Ashram, Rajasthan, India (2019 summer)
- Xin Jiang, China (2018 summer)
Student Association
- NTHUEE Student Association – Activities Department
- NTHU Artmay 6th – Head of the Publicity Department
- NTHU EE Camp (2017) – Education Department
- NTHU EECC Camp (2017, 2018) – Activities Department