University Scholarship
Publications and Grants

Mingshuo Liu

Computational Science, Doctor of Philosophy (College of Sciences)

ORCID profile

  • Computational Science, Ph.D., 2023-Present
    Computational Science Research Center; Department of Computer Science, San Diego State University, San Diego, California, US
  • Computational Science, Ph.D., 2023-Present
    Computational Science Research Center; Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, California, US

Profile updated November 4, 2026.

Student Scholarship

Scholarly Works

Chart data
TypeCount
Academic Publications7
Academic Conferences2

Scholarly Works by Year

Chart data
YearTypeCount
2021Academic Publications1
2022Academic Publications2
2023Academic Publications1
2025Academic Publications1
2026Academic Publications2
2021Academic Conferences1
2026Academic Conferences1

Scholarship for Mingshuo Liu

Academic Publications

Tensortrim: dynamic tensor-train decomposition for efficient neural network compression
Shiyi Luo; Mingshuo Liu; et al.
International Journal of Machine Learning and Cybernetics, 2026, journal article
LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Mingshuo Liu; Yunduan Lou; Shiyi Luo; Yifeng Yu; Shangping Ren; Yu Bai
Pricai 2025: Trends in Artificial Intelligence, Pricai 2025, Pt Iii, 2026, journal article
An Adaptive Tensor-Train Decomposition Approach for Efficient Deep Neural Network Compression
Mingshuo Liu
Arxiv, 2025, journal article
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train
Mingshuo Liu; Miao Yin; Kevin Han; Ronald F. DeMara; Bo Yuan; Yu Bai
Internet of Things, 2023, journal article
Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition
Mingshuo Liu; Shiyi Luo; Kevin Han; Ronald F. DeMara; Yu Bai
Micromachines, 2022, journal article

Spin-Orbit Torque Neuromorphic Fabrics for Low-Leakage Reconfigurable In-Memory Computation
Mingshuo Liu
IEEE Transactions on Electron Devices, 2022, journal article
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design
Mingshuo Liu; Shiyi Luo; Kevin Han; Bo Yuan; Ronald F. DeMara; Yu Bai
2021 IEEE 32Nd International Conference on Application-Specific Systems, Architectures and Processors (Asap), 2021, journal article

Academic Conferences

Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark
Zhiqi Yu; Xingping Liu; Haobin Mao; Mingshuo Liu; et al.
Forty-Third International Conference on Machine Learning, 2026, conference paper
An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset
Mingshuo Liu; Kevin Han; Shiyi Luo; et al.
Proceedings of the 2021 Great Lakes Symposium on Vlsi, 2021, conference paper