About

I am a third-year Ph.D. student in Computer Science at University of Illinois Urbana-Champaign. My research interests lie in Machine Learning, including

• Reinforcement learning from human feedback (RLHF), offline preference-based reinforcement learning
• Trustworthy Reinforcement Learning: Adversarial Attack, Provably Efficient Exploration, Provably Robust Exploration, and Verification on Deep Reinforcement Learning (DRL)
• Multi-arm Bandit Learning Theories (MAB)

Please find my CV here.

Education

University of Illinois Urbana-Champaign

• PhD in Computer Science, 2021 - present
• Advisor: Prof. Singh Gagandeep

Georgia Institute of Technology

• M.S. in Electrical and Computer Engineering, 2019 - 2021
• Advisor: Prof. Jacob Abernethy

Peking University

• B.S. in Physics, 2015 - 2019
• Advisor: Prof. Yun-Feng Xiao

Internship

• Amazon, Applied Scientist Intern, 2023 Summer
• Amazon, Applied Scientist Intern, 2022 Summer

Publications

[Google Scholar]. * means equal contribution.

2024

• Reward Poisoning Attack Against Offline Reinforcement Learning
  Yinglun Xu*, Rohan Gumaste*, Gagandeep Singh
  arXiv:2402.09695
  [PDF]

• Efficient Two-Phase Offline Deep Reinforcement Learning from Preference Feedback
  Yinglun Xu, Gagandeep Singh
  arXiv:2401.00330
  [PDF]

2023

• Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
  Yinglun Xu, Qi Zeng, Gagandeep Singh
  Transactions on Machine Learning Research (TMLR)
  [PDF] [Code]

• On the robustness of epsilon greedy in multi-agent contextual bandit mechanism
  Yinglun Xu, Bhuvesh Kumar, Jacob Abernethy
  arXiv:2307.07675
  [PDF]

• Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning
  Yinglun Xu, Gagandeep Singh
  arXiv:2305.10681
  [PDF]

2022

• Single-molecule optofluidic microsensor with interface whispering gallery modes
  Xiao-Chong Yu, Shui-Jing Tang, Wenjing Liu, Yinglun Xu, Qihuang Gong, You-Ling Chen, Yun-Feng Xiao
  PNAS 2022 (Proceedings of the National Academy of Sciences)
  [PDF]

• Thin-film optical parametric oscillators
  Alireza Marandi, Luis Ledezma, Yinglun Xu, Ryan Briggs
  US Patent 2022
  [PDF]

2021

• Observation-Free Attacks on Stochastic Bandits
  Yinglun Xu, Bhuvesh Kumar, Jacob Abernethy
  NeurIPS 2021
  [PDF]

• Adversarial Attack and Robust Learning in Multi-Arm Bandit Problems
  Yinglun Xu
  M.S. Thesis
  [PDF]

2020

• Bridging Truthfulness and Corruption-Robustness in Multi-Armed Bandit Mechanisms
  Jacob Abernethy, Bhuvesh Kumar, Thodoris Lykouris, Yinglun Xu (Alphabetically ordered)
  ICML 2020 Incentives in Machine Learning Workshop
  [PDF]

2018

• Mode splitting induced by an arbitrarily shaped Rayleigh scatterer in a whispering-gallery microcavity
  Yinglun Xu, Shui-jing Tang, Xiaochong Yu, Yi-Lin Chen, Daquan Yang, Qihuang Gong, Yun-Feng Xiao
  PRA 2018 (Physical Review A)
  [PDF]