Research output per year
Research output per year
Personal profile
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10 from 245 citations
Last updated 16th March 2023
Biography
My name is Peizhi Shi. I am a research fellow at the EPSRC Future Advanced Metrology Hub in the University of Huddersfield. I do research in machine learning in math group. My email address is p.shi@hud.ac.uk.
I received the PhD in computer science from the University of Manchester in 2019 under the supervision of Dr. Ke Chen, the master’s degree in software engineering from the University of Science and Technology of China in 2013, and the bachelor’s degree in computer science from the Guilin University of Electronic Technology in 2010.
My research interests include machine learning and its applications in intelligent system development. I have been working in machine learning for over eight years, and have authored or co-authored 14 academic papers in a number of journals, such as IEEE Transactions on Industrial Informatics, Journal of Intelligent Manufacturing, IEEE Transactions on Games, Virtual and Physical Prototyping, Computers & Industrial Engineering. For details, please visit my Publications and Google Scholar pages. My research expertise and topics are illustrated as follows.
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):
Research Expertise and Interests
- Machine Learning
- Computer vision
- object detection
- deep learning
- active learning
- semi-supervised learning
- cost-sensitive learning
- reinforcement learning
- dimension reduction
- unsupervised learning
- Intelligent Manufacturing
- Machining feature recognition
- design for additive manufacturing
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Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning
Shi, P., Qi, Q., Qin, Y., Meng, F., Lou, S., Scott, P. & Jiang, J., 27 Feb 2023, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. p. 1-13 13 p., 10054468.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Multi-Attribute Decision-Making Methods in Additive Manufacturing: The State of the Art
Qin, Y., Qi, Q., Shi, P., Lou, S., Scott, P. & Jiang, J., 7 Feb 2023, In: Processes. 11, 2, 27 p., 497.Research output: Contribution to journal › Review article › peer-review
Open Access1 Citation (Scopus) -
Selection of materials in metal additive manufacturing via three-way decision-making
Qin, Y., Qi, Q., Shi, P., Scott, P. & Jiang, J., 10 Mar 2023, (E-pub ahead of print) In: International Journal of Advanced Manufacturing Technology. 10 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A multi-criterion three-way decision-making method under linguistic interval-valued intuitionistic fuzzy environment
Qin, Y., Qi, Q., Shi, P., Scott, P. & Jiang, J., 2 Jul 2022, (E-pub ahead of print) In: Journal of Ambient Intelligence and Humanized Computing.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Highly interacting machining feature recognition via small sample learning
Shi, P., Qi, Q., Qin, Y., Scott, P. & Jiang, J., 1 Feb 2022, In: Robotics and Computer-Integrated Manufacturing. 73, 12 p., 102260.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus)