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ZQ

Zhu, Qi

Professor

Northwestern University · United States
My recent research spans the algorithmsoftwareand hardware layers for building safesecureand robust foundation model-driven AI systemssafety-assured learning and system designmultimodal time-series learningcontinual learning

Selected publications

  • Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping, L4DC, 2026.
  • Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization, ICLR, 2026.
  • Directly Forecasting Belief for Reinforcement Learning with Delays, ICML, 2025.
  • Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems, ICLR, 2025.
  • On Large Language Model Continual Unlearning, ICLR, 2025.
  • Empowering Autonomous Driving with Large Language Models: A Safety Perspective, https://arxiv.org/abs/2312.00812.
  • Variational Delayed Policy Optimization, NeurIPS, 2024. (Spotlight)
  • Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays, ICML, 2024.
  • Case Study: Runtime Safety Verification of Neural Network Controlled System, RV, 2024.
  • State-wise Safe Reinforcement Learning with Pixel Observations, L4DC, 2024.

Data verified 9/6/2026Source

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