ABOUT
Hi! This is Ya-Ting Yang. I earned my Ph.D. in Electrical and Computer Engineering from New York University (advised by Prof. Quanyan Zhu). I got my bachelor’s degree in Electrical Engineering from National Tsing Hua University and my master’s degree in Communication Engineering from National Taiwan University (advised by Prof. Hung-Yu Wei).
Education
New York University (2022/09-now)
Ph.D. in Electrical and Computer Engineering (GPA 3.9/4.0)
Thesis: The Dialectics of Trust: Game-Theoretic Foundations for Trust in AI-Driven Socio-Technical Systems
National Taiwan University (2020/07-2022/08)
M.S. in Graduate Institute of Communication Engineering (GPA 4.2/4.3)
Thesis: Game-Theoretic Resource Management for Decomposable DNN Inference in Edge-IoT Framework
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
- 2025: Globecom 2025 IEEE ComSoc Student Travel Grant
- 2025: Rising star on cyber-physical systems security, privacy and resilience (recognized by IEEE Control Systems Society Security and Privacy Committee)
- 2025: RSA Conference Security Scholar (Nominated by NYU)
- 2023-2024: NYU Ernst Weber Fellowship
- 2022-2023: NYU School of Engineering (SOE) Fellowship
- 2022: GameSec 2022 Conference Student Travel Grant
- 2020: Honorary Membership of the Society by NTHU, The Phi Tau Phi Scholastic Honor Society of the Republic of China
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.
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.
Extracurricular Activities and Leadership
Conference and Workshop Organization
- Co-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: conference website
- Co-organize the NSF Workshop on LLMs for Network Security (2024): event website
Review Services
- IEEE Transactions on Industrial Informatics (TII 2022)
- IEEE Internet of Things Journal (IOTJ 2023)
- IEEE Journal on Selected Areas in Communications (JSAC 2025)
- IEEE Conference on Decision and Control (CDC 2025, 2026)
- IEEE International Conference on Computer Communication (INFOCOM 2025) NGResNet Workshop
- IEEE Transactions on Cognitive Communications and Networking (TCCN 2025)
- IEEE/IFIP Network Operations and Management Symposium (NOMS 2026) NGResNet Workshop
- IEEE International Symposium on Information Theory (ISIT 2026)
- Journal of Supercomputing (2025)
- Journal of Computer Virology and Hacking Techniques (2025)
- Journal of Cloud Computing (2025)
- Discover Artificial Intelligence (2026)
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