Knowledge-based innovative methods for collaborative quality control in equipment outsourcing chain. - Pulin Li; Pingyu Jiang (ISKE, 2017)

Industrial Dataspace: A Broker to Run Cyber-Physical-Social Production System in Level of Machining Workshops. - Pingyu Jiang; Chao Liu; Pulin Li; Haoliang Shi (CASE, 2019)

An Enhanced DMAIC Method for Feature-Driven Continuous Quality Improvement for Multi-Stage Machining Processes in One-of-a-Kind and Small-Batch Production. - Pulin Li; Pingyu Jiang; Guangyao Zhang (IEEE Access, 2019)

Modeling of Machining Errors' Accumulation Driven by RFID Graphical Deduction Computing in Multistage Machining Processes. - Pulin Li; Pingyu Jiang; Wei Guo 034 (IEEE Trans. Ind. Informatics, 2021)

Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies. - Pulin Li; Kai Cheng; Pingyu Jiang; Kanet Katchasuwanmanee (J. Intell. Manuf., 2022)

Investigation on Grinding Temperature Evolutions and Surface Characteristics of CFRTP in Robotic Grinding. - Xin Yan; Huan Zhao 001; Rongguo Wang; Zeyu Peng; Pulin Li; Han Ding 001 (ICIRA (7), 2024)

Enhancing random surface anomaly detection in real-world using a four-stage one-class approach. - Pulin Li; Guocheng Wu 004; Yanjie Zhou; Jiewu Leng (Pattern Recognit. Lett., 2025)