Hao Xiaotian is a fourth-year doctoral student in the College of Intelligence and Computing at Tianjin University, supervised by Professor Hao Jianye. His research focuses on multi-agent reinforcement learning and combinatorial optimization. He has published six first-authored papers at top international conferences such as ICML, NeurIPS, and ICLR. Additionally, he serves as a reviewer for multiple conferences. He has interned at Alibaba's Core Advertising Algorithm Team, Huawei's Enterprise Intelligence Team, and Huawei's Decision Reasoning Research Team, gaining extensive practical experience. He proposed a Simplex algorithm based on binary trees, which achieved a more than twofold acceleration in linear programming solving time when applied to Huawei's core production scheduling problem with tens of millions of variables. He was previously recognized as an outstanding intern at Huawei's Noah's Ark Laboratory and received the National Scholarship for Graduate Students.