Can-Ming Lin

Shenzhen Institute of Information Technology

Papers

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About

Dr. Can-Ming Lin is a leading researcher at the intersection of intelligent automation and document understanding, with a primary focus on advancing Robot Process Automation (RPA) through cognitive document processing. His most influential work, "Intelligent Document Processing Method Based on Robot Process Automation" (2021), has garnered 4 citations and represents a critical contribution to the field by systematically addressing the role of document format information in machine comprehension. In this seminal paper, Lin provides a comprehensive survey of cutting-edge developments in document content understanding, classification, format verification, error correction, and interoperability—areas essential for enabling truly autonomous document workflows. His research bridges the gap between traditional RPA's rule-based automation and the need for adaptive, context-aware systems capable of handling unstructured and semi-structured documents. By highlighting the challenges of document format checking and intelligent error correction, Lin has laid foundational groundwork for more robust enterprise automation solutions. His work is particularly valuable for practitioners and researchers seeking to enhance the cognitive capabilities of digital workers, making him a notable voice in the evolving landscape of intelligent process automation.