CPIL members

Prof. Xue (Steve) Liu leads the Cyber-Physical Intelligence Lab. He is an IEEE Fellow, Fellow of the Canadian Academy of Engineering, Professor and William Dawson Scholar at McGill University, and affiliated with Mila.

I am a Ph.D. candidate in Computer Science at McGill University, affiliated with Mila – Quebec AI Institute. My research focuses on large language models, reinforcement learning, retrieval-augmented generation, and intelligent systems for telecommunications and real-world infrastructure. I am particularly interested in trustworthy reasoning, knowledge-enhanced AI, and learning-based optimization for complex systems. My recent work spans LLM post-training, graph-grounded and provenance-aware AI, telecom knowledge intelligence, digital twins, and multi-agent reinforcement learning for autonomous control. My research has led to publications in venues including ICLR, IEEE Wireless Communications, IEEE Communications Surveys & Tutorials, ICC Workshops, and ICML workshops.

Hi👋 My name is Ye Yuan袁野(https://stevenyuan666.github.io). I’m currently a fourth-year PhD candidate at McGill University and Mila-Quebec AI institute, supervised by Professor Xue Liu. My research centers on developing vision language models / large language models and score-based generative models to advance intelligent systems, with applications in (i) addressing challenges in offline black-box optimization, (ii) enabling knowledge-centric NLP tasks such as automatic knowledge base construction and retrieval augmented generation, and (iii) improving the efficiency and efficacy of agentic systems for real-world applications. My work is supported by multiple fellowships and has been published at top venues including NeurIPS, ICLR, ICML, ACL, EMNLP, and TMLR. Representative contributions include authoring a comprehensive survey on offline black-box optimization with Turing Award Winner Prof. Yoshua Bengio, which is accepted by TMLR with the Survey Certification, presenting an EMNLP 2024 oral paper (top 3%), and contributing to an ICML 2026 spotlight paper (top 2%). My journey is also complemented by industrial research experiences or close collaborations at Microsoft Research, RBC Borealis, Samsung Research America, ByteDance, Amazon, and Meta.

Bowei He is a Postdoctoral Fellow in the Department of Machine Learning at MBZUAI. His recent research centers on AI agents, with interests spanning agent reinforcement learning, agent memory, agent lifelong learning and evolution, agent world modeling, and scaling laws for agent intelligence. He has extensive internship and collaboration experience with leading industry research groups, including Tencent Hunyuan LLM and Meta. His work has been published in top-tier conferences such as NeurIPS, ICLR, ICML, AAAI, KDD, and CVPR, with several papers selected for highlight and oral presentations. He has also served the community as a program committee member, reviewer, and area chair for major international AI conferences. He has been recognized as an ACM MobiSys Rising Star and selected as a Heidelberg Laureate Forum Young Researcher.