About Me

I received my Ph.D. in Electrical Engineering from City University of Hong Kong in 2024. I also hold an M.Eng. from Xi'an Jiaotong University (2019) and a B.Eng. from Southwest Jiaotong University (2016). My research focuses on fault diagnosis and transfer learning. Following my Ph.D., I worked as a Researcher at Huawei Hong Kong Research Center (Huawei HKRC). Since April 2025, I have been an Algorithm Expert at Alibaba Group, where I focus on LLM training, specifically LLM architecture design and training acceleration.

Work Experience

  • Algorithm Expert, Alibaba Group [Qwen] (2025.04 - Present)
    Focus: LLM Training Acceleration, LLM Architecture Design.
  • Researcher, Huawei Hong Kong Research Center (2024.09 - 2025.04)
    Focus: Pangu-Deploy Acceleration, Mindie Acceleration, LLM Training Data Platform.
  • R&D Engineer, SonoScape Medical Corp., Shenzhen (2019.07 - 2020.07)
    Focus: Ultrasound signal processing, beamforming algorithms.

Selected Publications

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

Education

  • Ph.D., City University of Hong Kong (2020 - 2024)
  • M.Eng., Xi'an Jiaotong University (2016 - 2019)
  • B.Eng., Southwest Jiaotong University (2012 - 2016)

Academic Service

Reviewer for: IEEE TII, IEEE TNNLS, IEEE/ASME T-Mech, DSP, ISA Transactions, Expert Systems With Applications.

Membership: Secretary of AACI (Asia-Pacific Association of Cognitive Intelligence).

Honors & Awards

  • Institutional Research Tuition Scholarship, CityU (2023)
  • Graduate with Honor, XJTU (2019)
  • "SKF-Boling" Scholarship, XJTU (2018)
  • Graduate with Honor, SWJTU (2016)
  • National Endeavor Scholarship (3 times) (2012-2015)