Yitao Liang is an Assistant Professor and Phd supervisor at Peking University. He completed his undergraduate studies at Franklin & Marshall College in the United States in 2016 and obtained his Ph.D. degree from the University of California, Los Angeles in 2021. His research focuses on developing unified model representations that are both interpretable in semantics and supportive of learning and reasoning. He has published several highly recognized papers in top conferences in the field of artificial intelligence. He was nominated for the Best Paper award at the AAMAS 2016 conference in the field of multi-agent systems and reinforcement learning and received the Best Paper award at the RL for Real Life workshop held at ICML 2019. He also received the runner-up Best Paper award at the LLD workshop held at NeurIPS 2017. He serves as a Senior Program Committee member and reviewer for conferences such as AAAI, NeurIPS, ICML, IJCAI, and JMLR. In his leisure time, he enjoys playing soccer, hiking, and skiing.
