YUE Yutao 岳玉涛

副教授

学术与产业双重背景 —— Academic and industrial dual background
354项已授权中国发明专利、25项美国与欧盟已授权发明专利 —— 354 granted Chinese invention patents, 25 granted US and EU intention patents
江苏省产业技术研究院深度感知技术研究所创始人 —— Founder of Institute of Deep Perception Technology, JITRI 广东省引进创新科研团队带头人 —— Team Leader of Guangdong Province Introduced Innovation and Research Team 深圳市孔雀计划人才(B类)—— Shenzhen Peacock Plan Talent (Class B)

Biography

岳玉涛博士是香港科技大学(广州)人工智能学域和智能交通学域的副教授,本科毕业于中国科学技术大学,硕士和博士毕业于美国普渡大学。他有学术界和工业界的双重背景,创立了江苏省产业技术研究院深度感知技术研究所,并曾任广东省引进创新科研团队带头人、光启集团高级科学家等。他的研究兴趣包括多模态感知融合、机器意识、通用人工智能、因果涌现等。他长期从事科学研究和源头技术创新产业化20多年,作为共同发明人获已授权中国发明专利354项、美国发明专利18项、欧盟发明专利7项。作为第一负责人完成横纵向科研项目6项,总经费近1.3亿元人民币。发表论文60余篇,作为博士后导师培养博士后13人,获吴文俊人工智能科学技术奖等多个奖项。

Dr. Yutao Yue is an associate professor at the Artificial Intelligence Thrust and Intelligent Transportation Thrust of Hong Kong University of Science and Technology (Guangzhou). He received his Bachelor’s degree from the University of Science and Technology of China, and Master and PhD degree from Purdue University. He has a dual background in academia and industry, as the team leader of Guangdong Province Introduced Innovation Scientific Research Team, senior scientist of Kuang-Chi Group, and the founder of the Institute of Deep Perception Technology of JITRI. His research interests include multimodal perception fusion, machine consciousness, artificial general intelligence, causal emergence, etc. He has been engaged in scientific research and technology industrialization for over 20 years. He has co-invented 354 granted Chinese patents, 18 USA patents, and 7 EU patents. He has led 6 major research projects with a total funding of nearly 130 million RMB. He has published over 60 papers, advised 13 postdoc research fellows, and received multiple awards including Wu Wenjun Artificial Intelligence Science and Technology Award.

Honors & Awards

•   吴文俊人工智能科学技术奖 

the Wu Wenjun Science and Technology Award

Research Interest

•   多模态感知融合 Multimodal perception fusion
•   机器意识 Machine consciousness
•   通用人工智能 General artificial intelligence
•   因果涌现与大语言模型机理 Causal emergence and mechanism of large language models
•   AI4Science(AI与智能交通、电磁场调控、天体物理与宇宙学等领域的结合) AI4Science (Integration of AI with intelligent transportation, electromagnetic field modulation, astrophysics and cosmology)