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Yulai Xie (谢 雨来)

PhD, Chief Researcher @ Hitachi China Research Laboratory

Latest Updates

2025
2024
2023
2022
2020

Core Research Areas

AI Fundamentals

  • Machine Learning Computer Vision
  • Multi-Modal Analysis (Vision, Audio, Language, Sensor)
  • AI-based Generative Content (Time-series, Image)
  • Numerical Simulation/Digital Twin
  • 3D Reconstruction/3D Generation
  • Large Language Model/Multi-Modal Large Language Model

AI Applications

  • Industrial & Logistics
  • Crowd Simulation
  • Traffic Analysis
  • Elder Care Solutions
  • AI Methods for Domain Applications (Optics)
  • Industry Applications of Large Language Models (DeepSeek, qwen, etc.)

Education & Professional Journey

Education

  • 2010-2014 Ph.D in Engineering
    • Hokkaido University, Japan
    • CSC Scholarship
  • 2008-2010 Master in Engineering
    • Tianjin University, China
  • 2004-2008 Bachelor in Engineering & Management
    • Tianjin University, China
  • 2013 Intern
    • Iowa University, USA
  • 2013 Intern
    • Seoul National University, Korea

Professional Experience

  • 2014-Present Chief Researcher
    • Hitachi China Research Laboratory, China
    • Focus on CV, AI, AIGC Industry Applications
    • Exploring Technical Innovations with GenAI, LLM, MLM
  • 2014 Research Training
    • Hitachi Central Research Laboratory, Japan

Project Portfolio

Industry Applications

  • Public Security Video Surveillance (2016)
  • Airport Ground Operation Analysis (2020)
  • Multinational Fast Food Visual Ordering (2021)
  • Leading Pharmaceutical Company Behavior Monitoring (2022)
  • Major Beverage Company Safety Management (2023)
  • Leading Auto Parts Quality Inspection (2024)
  • Multinational Logistics Warehouse Behavior Analysis (2024)
  • Power Company Safety Compliance (2025)

Research Exploration

  • Vision-based Public Transportation Management (Chongqing University)
  • Sensor-based Public Area Crowd Analysis (Tsinghua University)
  • Multi-modal Video Understanding (BUCT)
  • Image-based 3D Reconstruction (BUCT)
  • AI-based Optical Systems (BUCT)
  • Industry Applications of Large Language Models (DeepSeek)

Selected Recent Publications

View Full Publication List

Journal Papers

  1. Ren, Fang, Yulai Xie (co-first author), Xiaoning Pi and Xiaohui Wang. "Bridge the gap between simulated and real-world data in optical fiber mode decomposition for accuracy improvement: A deep learning-based co-learning framework with visual similarity-based matching". Expert Systems with Applications 256 (2024): 124937. DOI (JCR Q1)

  2. Xie, Yulai, Jingjing Niu, Yang Zhang, and Fang Ren. "Global-Shared Text Representation Based Multi-Stage Fusion Transformer Network for Multi-Modal Dense Video Captioning." IEEE Transactions on Multimedia, (2023). DOI (JCR Q1)

  3. Xie, Yulai, Jingjing Niu, Yang Zhang, and Fang Ren. "Multisize Patched Spatial-Temporal Transformer Network for Short-and Long-Term Crowd Flow Prediction". IEEE Transactions on Intelligent Transportation Systems, (2022). DOI (JCR Q1)

  4. Jingjing Niu, Yulai Xie (co-first author), Yang Zhang, and Fang Ren. "Tri-Modal Dense Video Captioning Based on Fine-Grained Aligned Text and Anchor-Free Event Proposals Generator". International Journal of Pattern Recognition and Artificial Intelligence, (2022). DOI

  5. Xie, Yulai, Yang Zhang, and Fang Ren. "Temporal-Enhanced Graph Convolution Network for Skeleton-Based Action Recognition." IET Computer Vision, (2022). DOI (2022 Top Downloaded Article)

Papers Under Review

  1. Ren, Fang, Xie, Yulai (co-first author), Pi,Xiaoning. "Query-Based Neural Network for Long-Range Prediction of Optical Spatio-temporal Dynamics in Multimode Fibers.", Expert Systems with Applications, (2025). (in Revision) (JCR Q1)

  2. Xie, Yulai, Pi, Xiaoning, Zhang,Yang, and Ren,Fang. "Structured Guided Diffusion Models for Industrial Defect Image Generation." Knowledge-based System, (2025). (in Revision) (JCR Q1)

Conference Papers

  1. Pi, XiaoNing, YuLai Xie (co-first author), Yang Zhang, XiaoHui Wang, and Fang Ren. "Automatic Iterative Diversity Improvement for Defect Data Generation." In Proceedings of the 2024 16th International Conference on Computer Modeling and Simulation, 41-47. ICCMS '24. ACM, 2024. DOI

  2. Wang, Xiaohui, Yulai Xie (co-first author), Yang Zhang, Xiaoning Pi, and Fang Ren. "Digital Simulation-Based Data Generation for Quality Inspection." In ICCMS 2023, 6. 2023. DOI

  3. Zhang, Yanfei, Yulai Xie (co-first author), Yang Zhang, Yiruo Dai, and Fang Ren. "VSSum: A Virtual Surveillance Dataset for Video Summary." In ICCCV 2022, 7, 2022. DOI

Patent Portfolio

Patent List

View Full List (20+)

  • Focus areas: CV Applications, AI Applications, GenAI Applications, Industrial Solutions, Crowd Analysis, etc.
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