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Resume (English only)
Academic Achievements
Published numerous papers, including but not limited to 'Split Adaptation for Pre-trained Vision Transformers' at CVPR 2025; an article on efficient and assured reinforcement learning-based building HVAC control in Scientific Reports; two ICLR 2025 accepted papers on large language model continual unlearning and exploring backdoor attacks against embodied LLM decision-making systems; Neurips 2024 accepted works on semantic feature learning and variational delayed policy optimization; IROS 2024 included studies on graph neural network-based multi-agent reinforcement learning for resilient distributed coordination of multi-robot systems among others.
Research Experience
Engaged in multiple cross-layer design, verification, and adaptation projects for learning-enabled cyber-physical systems (LE-CPS), particularly addressing safety, robustness, security, energy, and data challenges when using deep neural networks in CPS and operating CPS within dynamic and uncertain environments.
Background
Research interests include design automation for intelligent cyber-physical systems (CPS) and IoT applications, safe and robust machine learning for embodied AI systems, cyber-physical security, and energy-efficient CPS.
Miscellany
Research spans across various application domains such as connected and autonomous vehicles, smart buildings and infrastructures, robotics, advanced manufacturing, and IoT.