Yunhan Huang

Yunhan Huang

Ph.D. Student, Department of Electrical and Computer Engineering, New York University

Publications

Book Chapters

  1. Y. Huang, Q. Zhu, “Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals,” In Game Theory and Machine Learning for Cyber Security (eds C.A. Kamhoua, C.D. Kiekintveld, F. Fang and Q. Zhu), IEEE-Wiley Press, 2021. PDF

Journal Papers

  1. Y. Huang, Q. Zhu, “Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation,” IEEE Transactions on Neural Networks and Learning Systems, Under Review, 2022. PDF
  2. Y. Huang, Q. Zhu, “A Pursuit-Evasion Differential Game with Strategic Information Acquisition,” Automatica, Under Review, 2022. PDF
  3. Y. Huang, L. Huang, Q.Zhu, “Reinforcement Learning for Feedback-Enabled Cyber Resilience”, Annual Review in Control, vol. 53, pp.273-295, 2022.PDF
  4. Y. Huang, Q. Zhu, “Game-Theoretic Frameworks for Epidemic Spreading and Human Decision Making: A Review,” Dynamic Games and Applications, vol. 12, pp.7-48, 2022. PDF
  5. Y. Huang, Q. Zhu, “Infinite-Horizon Linear-Quadratic-Gaussian Control with Costly Measurements”, Preprint, 2020. PDF
  6. J. Chen, Y. Huang, R. Zhang, Q. Zhu, “Optimal curing strategy for competing epidemics spreading over complex networks,” IEEE Transactions on Signal and Information Processing over Network, vol. 7, pp.294-308, 2021.
  7. Y. Huang, J. Chen, L. Huang, Q. Zhu, “Dynamic games for secure and resilient control system design,” National Science Review, vol. 7, issue 7, pp. 1125-1141, 2020.
  8. Y. Huang, Q. Zhu, “A Differential Game Approach to Decentralized Virus-Resistant Weight Adaptation Policy over Complex Networks,” IEEE Transactions on Control of Network Systems, vol. 7, no. 2, pp.944-955, 2020.
  9. Y. Feng, L. Ding, Y. Huang, L. Zhang, “Epidemic spreading on weighted networks with adaptive topology based on infective information,” Physica A: Statistical Mechanics and its Applications, vol. 463, pp.493-502, 2016.
  10. Y. Huang, L. Ding, Y. Feng, J. Pan, “Epidemic spreading in random walkers with heterogeneous interaction radius,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2016, no. 10, pp. 103501, 2016.
  11. Y. Feng, L. Ding, Y. Huang, Z. Guan, “Epidemic spreading on random surfer networks with infected avoidance strategy,” Chinese Physics B, vol. 25, no. 12, pp. 128903, 2016.
  12. Y. Huang, L. Ding, Y. Feng, “A novel epidemic spreading model with decreasing infection rate based on infection times,” Physica A: Statistical Mechanics and its Applications, vol. 444, pp. 1041-1048, 2016.

Conference Papers

  1. Y. Huang, J. Chen, Q. Zhu, “Assets Defending Differential Games with Partial Information and Selected Observations”, The IEEE Conference on Decision and Control, pp. 2366-2373, 2021. PDF
  2. Y. Huang, Q. Zhu, “Self-Triggered Markov Decision Processes”, The IEEE Conference on Decision and Control, pp. 4507-4514, 2021. PDF
  3. J. Chen, Y. Huang, Q. Zhu, “Transactive Resilience in Renewable Microgrids: A Contract-Theoretic Approach”, 56th Annual Conference on Information Sciences and Systems (CISS), Accepted, To Appear, 2022. PDF
  4. Y. Huang, Q. Zhu, “Cross-Layer Coordinated Jamming and actuator Attacks on Cyber-Physical Systems,” 20th European Control Conference (ECC), pp. 521-528, 2021.
  5. Y. Huang, Q. Zhu, “Deceptive reinforcement learning under adversarial manipulations on cost signals,” 10th International Conference on Decision and Game Theory for Security (GameSec), pp. 217-237, 2019.
  6. Y. Huang, V. Kavitha, Q. Zhu, “Continuous-Time Markov Decision Processes with Controlled Observations,” 57th Annual Allerton Conference on Communication, Control, and Computing, pp. 32-39, 2019.
  7. Y. Huang, Q. Zhu, “Achieving Social Optimum in Dynamic Weight Adaptation for Virus Mitigation: A Potential Differential Game Approach,” IFAC-PapersOnline, vol. 52, issue 20, pp. 241-246, 2019.