Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
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Dive into the research topics where Xiaomeng Tong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A global feedback learning-based memetic algorithm for energy-aware scheduling in collaborative heterogeneous flexible job shops
Qu, H., Shao, S., Xu, Y., Cai, M., Shi, Y. & Tong, X., Apr 2026, In: Swarm and Evolutionary Computation. 104, 102392.Research output: Contribution to journal › Article › peer-review
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A Novel Approach to Recognition and Embedding of the Machining Feature for Mechanical Parts
Li, Z., Tong, X., Cai, M., Xu, W. & Zhao, X., 2026, Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability - Proceedings of FAIM 2025. Srihari, K., Khasawneh, M. T., Yoon, S. & Won, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 596-604 9 p. (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Intelligent method combining models and process data for springback prediction in sheet metal stamping
Zhao, X., Cai, M., Shi, P., Li, Z., Han, D. & Tong, X., 1 Jun 2026, In: Engineering Applications of Artificial Intelligence. 173, 114327.Research output: Contribution to journal › Article › peer-review
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Multi-objective optimization of centrifugal hydrogen circulation pumps assisted by machine learning
Zhao, W., Tong, X., Lu, X., Shi, Y., Cai, M. & Gao, C., 31 Mar 2026, In: International Journal of Hydrogen Energy. 222, 153691.Research output: Contribution to journal › Article › peer-review
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New classification method of nonstandard parts for CNC selection based on machine learning and geometric analysis
Shi, P., Tong, X., Xu, Y. & Cai, M., Jan 2026, In: Journal of Intelligent Manufacturing. 37, 1, p. 257-280 24 p.Research output: Contribution to journal › Article › peer-review
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