RESEARCH
Our Mission for Artificial Intelligence and Industrial Applications
Specifically, it includes named entity recognition, relationship recognition and knowledge graph construction, as well as anomaly detection and classification methods for imbalanced data. Research results are applied to the design, analysis, manufacturing and maintenance of complex systems. Research topics in recent years include knowledge graph construction, knowledge-based decision-making and reasoning, knowledge-driven collaborative modeling and simulation, complex system status monitoring and fault diagnosis, etc.
MAIN PROJECT
制造业多价值链协同数据空间设计理论与方法
国家科技部重点研发计划2020年
“网络协同制造和智能工厂”重点专项
复杂产品制造领域知识自动构建与推理决策技术及应用
国家重点实验室开放研究基金课题
数据驱动的晶圆制造过程异常检测与故障诊断方法
国家自然科学基金面上项目
高适应性可适配信息物理制造网络
国际联合研究中心项目
TEAMS
Hongwei Wang
Professor, Vice Dean
Prof. Hongwei Wang is a tenured professor at ZJUI where he services as the vice dean and the director of the data and information sciences research program. He is the vice president of the Information Technology Branch of the Zhejiang Association of Scholars from Overseas.
Langjing Yang
Assistant Professor
Liangjing Yang received the B.Eng. and M.Eng. degrees in Mechanical Engineering from the National University of Singapore (NUS) in 2008 and 2011, respectively. He obtained the D.Eng. degree from the University of Tokyo (UTokyo) in 2014 with a scholarship to work in the Bio-Medical Precision Engineering Laboratory.
Xiangming Meng
Assistant Professor
Dr. Xiangming Meng joined the ZJU-UIUC Institute as a tenure-track assistant professor from March 2023. Before that, he was a project assistant professor in The University of Tokyo, Japan from April 2022 to March 2023. He obtained his Ph.D. in information and communication engineering from Tsinghua University in 2016 .
Gaoang Wang
Assistant Professor
Dr. Gaoang Wang joined the ZJU-UIUC as an assistant professor in September 2020. He is also an adjunct assistant professor at UIUC. His research interests are computer vision, machine learning, image and video processing, including multi-object tracking, pose estimation, deep neural networks, active learning, etc.
