刘若泽，男，博士，三江学院计算机科学与工程学院讲师，特聘副教授。
中山大学学士，南京大学人工智能专业博士。主要从事人工智能、深度学习、强化学习、大模型优化与决策智能等领域的研究。近年来，在国际顶级会议 AAAI、国际权威期刊 JAIR、以及国际重要期刊 IEEE Transactions on Games 等国内外高水平学术期刊和会议上发表论文10余篇。
主持多项省级及校级科研项目，并以核心成员身份参与了国家自然科学基金优秀国家重点实验室研究项目、国家自然科学基金创新群体项目及国家自然科学基金重点项目。现为中国计算机学会（CCF）会员，担任多个国际顶级会议及重要学术期刊的审稿人。
在科研成果转化与工程实践方面，主持开发的多款开源软件在国际知名平台 GitHub 和国内顶级平台 Gitee 上累计获得近 10,000+ Star 收藏。获授权国家发明专利3项。在技术传播领域，撰写的系列博客文章累计阅读量超过 100万次，其中代表作《神经网络浅讲》单篇阅读量超 40万次，获 500+读者推荐 并被多次列入官方编辑精选。
Dr. Ruoze Liu received his Ph.D. in Artificial Intelligence from Nanjing University and his B.S. degree from Sun Yat-sen University. He currently serves as a Distinguished Associate Professor at the School of Computer Science and Engineering, Sanjiang University. His research interests include artificial intelligence, deep learning, reinforcement learning, large model optimization, and intelligent decision-making.
Dr. Liu has published over 10 peer-reviewed papers in prestigious international conferences and journals, including AAAI, JAIR, and IEEE Transactions on Games. He has presided over several provincial and university-level research projects, and has also participated as a core member in major national projects such as the National Natural Science Foundation of China (NSFC) Key Project, the Excellent National Key Laboratory Research Program, and the NSFC Innovation Research Group Project.
He is a member of the China Computer Federation (CCF) and serves as a reviewer for multiple top-tier international conferences and journals in the field of AI. In addition to his academic contributions, Dr. Liu has led the development of several open-source software projects, which have collectively garnered over 10,000 stars on GitHub and Gitee.
He holds three authorized national invention patents and is also an active contributor to the AI technical community. His technical blogs have attracted over 1 million total views, with the article “A Gentle Introduction to Neural Networks” exceeding 400,000 reads and receiving more than 500 reader recommendations, as well as multiple official editorial endorsements.
