Meng Sun 孙孟

Ph.D. Candidate · The University of Hong Kong

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About

I received my B.Eng. from Jilin University and my M.Eng. from Zhejiang University in the team led by Academician Chen Yunmin, where I was advised by Prof. Bate Bate. I am now a Ph.D. candidate at The University of Hong Kong, supervised by Prof. Fan Xue and co-supervised by Prof. Lu, Wilson W.S.

Before my doctoral studies, I worked at China Merchants Bank AI Lab, where I was responsible for large language models and quantitative finance.

My research focuses on digital twins for built assets, ground-penetrating radar (GPR) to 3D reconstruction, explainable AI for engineering simulation, and spatial intelligence in construction. I work at the intersection of geotechnical simulation, computer vision, and intelligent construction management.

3D reconstruction NDT Digital twin Multimodal & spatial intelligence XAI Signal processing

News

  • New 2026 Two papers accepted to ISARC 2026: LINK 1, LINK 2.
  • New 2026 Received the Talent Development Scholarship (TDS), The University of Hong Kong.
  • New 2026 Paper on DEM cementation prediction with AutoML and interpretability analysis published in Advanced Engineering Informatics.
  • 2025 Won Best Individual Performance at the 4th Financial Career Accelerator with an LLM + GraphRAG green-finance QA system.
  • 2025 Paper on Monte Carlo–DEM sand stiffness variability published in Acta Geotechnica.
  • 2024 Dual winner of the 4th International Scan-to-BIM Challenge at CVPR 2024 (2D floorplan & 3D building reconstruction).

Publications

2026

  1. ISARC 2026

    A Time- and Memory-Efficient Method for Axis Alignment of Very Large Point Clouds using Orthogonality in Buildings

    Wu, L.; Chen, S.-H.; Sun, M.; Xue, F.

    Proceedings of the 43rd International Symposium on Automation and Robotics in Construction (ISARC 2026)

    [Paper]

  2. ISARC 2026

    Reconstructing Ground-Penetrating Radargrams into 3D Point Cloud Format for Building Inspection: A Web AR Approach Evaluated by Technology Acceptance Model

    Sun, M.; Wu, L.; Deng, K.; Li, X.; Xue, F.

    Proceedings of the 43rd International Symposium on Automation and Robotics in Construction (ISARC 2026)

    [Paper]

  3. SSRN 2026

    Automated 3D Reinforcement Characterization in Existing Buildings using GPR-to-Point-Cloud Reconstruction and Weighted RANSAC

    Sun, M.; Wu, L.; Wei, X.; Liang, D.; Chen, Z.; Kwan, H.; Xue, F.

    SSRN Preprint

    [Paper]

  4. AEI 2026

    Clarity in DEM cementation predictions: Integrating automated machine learning and interpretability analysis of shear wave velocity

    Sun, M.; Liang, D.; Wang, J.; Bate, B.; Xue, F.

    Advanced Engineering Informatics

    [Paper]

  5. CIE 2026

    A Blockchain 4.0-Digital Twin paradigm for prediction and reasoning in distributed construction project management

    Zhao, R.; Kong, L.; Sun, M.; Xue, F.

    Computers & Industrial Engineering

    [Paper]

  6. EAAI 2026

    Transfer learning from building information model-based synthetic data for three-dimensional module detection in point clouds of modular-integrated construction hoisting

    Liang, D.; Wu, L.; Sun, M.; Hu, R.; Kong, L.; Pan, Y.; Xue, F.

    Engineering Applications of Artificial Intelligence

    [Paper]

2025

  1. AG 2025

    Sand stiffness variability induced by stochastic distributions of calcite precipitates: A Monte Carlo-DEM study

    Sun, M.; Liu, P.; Chen, Y.; Bate, B.; Xue, F.

    Acta Geotechnica

    [Paper]

2024

  1. CRIOCM 2024

    The opportunities and challenges of multimodal GenAI in the construction industry: A brief review

    Sun, M.; Zhao, R.; Xue, F.

    Proceedings of the 29th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2024)

2023

  1. AG 2023

    Influencing Factors on Fines Deposition in Porous Media by CFD-DEM Simulation

    Liu, P.; Sun, M.; Chen, Z.; Zhang, S.; Zhang, F.; Chen, Y.; Chen, W.; Bate, B.

    Acta Geotechnica

    [Paper]

2022 and earlier

  1. AG 2022

    Discrete Element Modeling of Shear Wave Propagation in Carbonate Precipitate–Cemented Particles

    Sun, M.; Cao, J.; Cao, J.; Zhang, S.; Chen, Y.; Bate, B.

    Acta Geotechnica

    [Paper]

  2. STOTEN 2021

    Evaluating iron remediation with limestone using spectral induced polarization and microscopic techniques

    Hao, N.; Ye, J.; Zhao, L.; Sun, M.; You, Y.; Zhang, C.; Cao, J.; Peng, Y.; Zhang, S.; Zhan, L.-T.; Chen, Y.; Bate, B.

    Science of the Total Environment

    [Paper]

  3. AG 2021

    Internal erosion monitoring with a rowe cell type compression–breakthrough–bender element column

    Bate, B.; Chen, X.; Chen, J.; Sun, M.; Li, J.; Zhang, S.; Zhang, F.; Zhan, L.; Cao, J.

    Acta Geotechnica

    [Paper]

Projects

AutoML & XAI for DEM Cementation Prediction

Integrating automated machine learning and interpretability analysis to clarify shear-wave velocity predictions in discrete element simulation of cemented granular materials.

DEM AutoML XAI Geotechnics

[Paper]

Others

Awards

  • 2026 — Talent Development Scholarship, The University of Hong Kong
  • 2025 — Best Individual Performance, 4th Financial Career Accelerator
  • 2024 — Dual Winner, 4th International Scan-to-BIM Challenge, CVPR 2024

Languages

Chinese (Native)· English (Fluent)· Cantonese (Elementary)