Advancing the frontiers of artificial intelligence through innovative research and real-world applications for smart industry and autonomous systems.
My research spans multiple interconnected domains, focusing on practical applications and theoretical foundations of artificial intelligence.
Developing advanced algorithms for visual perception and anomaly detection in complex industrial environments. My work focuses on appearance-motion prototype networks and memory-augmented spatiotemporal encoding frameworks that can identify unusual patterns in real-time applications.
Creating efficient multimodal architectures that integrate visual, textual, and sensor data for comprehensive understanding. Specializing in resource-constrained deployments and knowledge distillation techniques for practical industrial applications.
Applying AI-driven solutions to industrial automation, quality control, and predictive maintenance. My research includes online evolutionary learning algorithms and distributed computing frameworks for enhanced industrial efficiency and safety.
Enhancing autonomous vehicle perception and safety through multimodal sensor fusion and robust scene understanding algorithms. Research focuses on adverse weather conditions and complex urban environments where traditional systems face challenges.
Key milestones in my academic and research journey
Joined Tongji University as Assistant Professor in the Department of Electronic and Information Engineering. Leading research in AI environment perception algorithms for smart industry and autonomous driving applications.
Research Assistant at Duke Kunshan University, working on anomaly detection algorithms for dynamic environments. Developed appearance-motion prototype networks and contributed to IEEE TII publications.
Visiting Scholar at University of Toronto and Vector Institute, working with Geoffrey Hinton's team. Focused on multimodal large models and resource-constrained AI applications.
PhD in Computer Application Technology at Fudan University under the supervision of Academician Song Liang. Research focused on anomaly detection, environmental perception, and multimedia analysis.