Dr. JIA, Linshan (贾林山)

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PhD,
City University of Hong Kong,
Hong Kong SAR, China
E-mail: linshan.jia@my.cityu.edu.hk

Brief CV

About me

I received the B.Eng. degree in mechanical engineering from Southwest Jiaotong University, Chengdu, China, in 2016, and the M.Eng. degree in mechanical engineering from Xi'an Jiaotong University, Xi'an, China, in 2019. Later, I joined the Department of Electrical Engineering at the City University of Hong Kong, Hong Kong, where I successfully completed my doctoral studies and was awarded the Ph.D. degree in electrical engineering. My research involved fault diagnosis and transfer learning. I am currently a researcher at Huawei Hong Kong Research Center (HKRC). My current work involves LLM inference acceleration and LLM data efficiency.

Research

Recent publications

  1. Jia Linshan. EGR-Net: A Novel Embedding Gramian Representation CNN for Intelligent Fault Diagnosis. arXiv preprint arXiv:2502.19199 (2025) [Link]
  2. Jia Linshan, Chow Tommy W S*, Yuan Y. Causal Disentanglement Domain Generalization for Intelligent Fault Diagnosis[J]. Neural Networks, 2024. 172, 106099 [Link][Code]
  3. Jia Linshan, Chow Tommy W S*, Wang Y, Ma J. Dynamic Balanced Dual Prototypical Domain Generalization for Cross-Machine Fault Diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2023. [Link][Code]
  4. Jia Linshan, Chow Tommy W S*, Yuan Yixuan. GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2023, 119: 105794.[Link][Code]
  5. Jia Linshan, Chow Tommy W S*, Wang Yu, Yuan Yixuan. Multiscale residual attention convolutional neural network for bearing fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-13.[Link][Code]
  6. Jia Linshan, Zhang Qing*, Zheng Xiang, et al. The empirical optimal envelope and its application to local mean decomposition[J].Digital Signal Processing , 2019, 87: 166-177.[Link][Code]

Academic service

Reviewer

  • IEEE Transactions on Industrial Informatics

  • IEEE Transactions on Neural Networks and Learning Systems

  • IEEE/ASME Transactions on Mechatronics

  • Digital Signal Processing

  • ISA Transactions

  • Expert Systems With Applications

Membership

Education

  • Ph.D., Doctor of Philosophy, City University of Hong Kong, Hong Kong, 2020.09-2024.08

  • M.Eng., Master of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 2016.09-2019.06

  • B.Eng., Bachelor of Mechanical Design & Manufacturing and their Automation, Southwest Jiaotong University, Chengdu, 2012.09-2016.06

Awards

  1. Institutional Research Tuition Scholarship, City University of Hong Kong. (2023)

  2. Graduate with Honor, Xi'an Jiaotong University. (2019)

  3. Excellent Postgraduate, Xi'an Jiaotong University. (2018)

  4. "SKF-Boling" Scholarship, Xi'an Jiaotong University. (2018)

  5. Outstanding Postgraduate Freshmen Scholarship, Xi'an Jiaotong University. (2016)

  6. Graduate with Honor, Southwest Jiaotong University. (2016)

  7. First Prize of Scholarship, Southwest Jiaotong University. (6 times for the first six semesters)

  8. National Endeavor Scholarship, Southwest Jiaotong University. (3 times for the first three academic years)

  9. Merit Student, Southwest Jiaotong University. (3 times for the first three academic years)

Teaching Activities

  1. Teaching Assistant, City University of Hong Kong, 2021.09-2023.06

    • Prepared learning materials and taught some exercises

  2. Assistant Mentor, City University of Hong Kong, 2021.09-2022.05

    • Provided guidance to the Final Year Project (FYP) for two senior students

Work experience

  1. Researcher (LLM Acceleration and Data efficiency), Huawei., Hong Kong, 2024.9 - present

    • Pangu-Deploy Acceleration

    • Mindie Acceleration

    • LLM Training Data Platform

  2. R&D Engineer (ultrasound signal processing), SonoScape Medical Corp., Shenzhen, 2019.07-2020.07

    • Developed the PDB of medical ultrasound system

    • Developed the beamforming algorithm of ultrasound system