Junjie Jiang

Junjie Jiang

Research Assistant at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

🎓 About me

I am now a research assistant at Shenzhen Institute of Advanced Technology CAS, supervised by Prof. Zhile Yang and A/Prof. Chengke Wu. My current research interests include:

  • Information Retrieval
  • Large Language Model
  • Natural Language Processing
  • AI4Science

🔺Last Update: 2024/07/04

🔥 News

  • 2023.10:  🎉🎉 Released a corpus and a dataset for entity-property relation extraction in CEM industry. For more details see here.
  • 2023.10:  🎉🎉 Released the code of relation extraction for construction documents. For more details see here.
  • 2023.04:  🎉🎉 Released the code of hydropower device detection. For more details see here

📑 Publications

Preprint

Advanced Engineering Informatics
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Ont4RE: A computation framework for distant supervision and entity-property relation extraction in construction documents

Junjie Jiang, Chengke Wu*, Wenjie Sun, Yong He, Yuanjun Guo, Su Yang, Zhile Yang

  • A novel framework Ont4RE is for distantly supervised relation extraction from CEM documents
  • Developed a domain ontology CEMO covering domain classes
  • Achieved distantly supervised annotation by entity-class matching using semantic similarity
  • A pre-trained BERT is developed for entity-property relation extraction

Code Here

Keywords: Distant Supervision, Relation Extraction, Ontology, BERT, Construction Industry

Published

Expert Systems With Applications
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A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system

Junjie Jiang, Zhile Yang, Chengke Wu, Yuanjun Guo, Meng Yang, Wei Feng*

  • A Compatible detector is proposed for device detection in AR inspection system
  • Computation cost is improved by a lightweight backbone network
  • A coordinate-based attention module is designed for effective feature fusion
  • Optimizing hyperparameters of the new architecture to make the detector robust

Code Here

Keywords: Object Detection, Augmented Reality, Genetic Algorithm, Power Grid

Advanced Engineering Informatics
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A teacher–student deep learning strategy for extreme low resolution unsafe action recognition in construction projects

Meng Yang, Chengke Wu, Yuanjun Guo, Yong He, Rui Jiang, Junjie Jiang, Zhile Yang*

  • A teacher-student deep learning framework is proposed for identifying unsafe behaviours
  • The useful feature is captured from extremely low resolution video
  • Knowledge learning model and similarity loss function are designed for better training of student network

Keywords: Action Recognition, Knowledge Distillation, Low Resolution, Construction Safety

Selected Patents

  • Yang, Z., Jiang, J., Guo, Y., Liu, X., Wu, C. Method, System, and Related Equipment for Battery Surface Defect Detection Based on Machine Vision. WIPO (PCT) Patent, WO2023226357A1, publication
  • Yang, Z., Jiang, J., Liu, X., Guo, Y., Wu, C. A Real-time Optimization Control Method for Charging and Discharging States of a Hybrid Energy Storage System(一种混合储能系统充放电状态实时优化控制方法). National Invention Patent, CN115313447A, authorized
  • Guo, Y., Jiang, J., Wu, C., Yang, ., Hu, T. Method, System, and Related Equipment for Defect Detection Based on Battery Surface Images(基于电池表面图像的缺陷检测方法、系统及相关设备). National Invention Patent, CN115272330A, authorized
  • Yang, Z., Jiang, J., Guo, Y., Liu, X., Wu, C. Method, System, and Related Equipment for Battery Surface Defect Detection Based on Machine Vision(基于机器视觉的电池表面缺陷检测方法、系统及相关设备). National Invention Patent, CN114972258B, authorized

🎖 Honors and Awards

  • 2024.01 SIAT President’s Scholarship-Excellent Award (top 5%), Shenzhen Institute of Advanced Technology, CAS
  • 2024.01 SIAT Outstanding Contribution Award-2023
  • 2024.01 Director’s Innovation Award-Outstanding Graduate Student, Shenzhen Institute of Advanced Integrated Technology, CAS-CUHK(中国科学院香港中文大学深圳先进集成技术研究所)
  • 2022.12 The 2022 SEIC Outstanding Contribution Award, Shenzhen Institute of Advanced Technology, CAS
  • 2022.06 Excellent Undergraduate Thesis of Shenyang Ligong University, SYLU
  • 2019.11 Third Prize in Robot Competition of the School of Mechanical Engineering, SYLU

📖 Educations

  • 2022.06 - Present, Visiting Student, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
  • 2018.06 - 2022.09, Undergraduate, Shenyang Ligong University

💻 Working

  • 2023.06 - now, Research Assistant, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen.
  • 2022.05 - 2022.06, Intern, Zhongke Hangmai CNC Software Shenzhen Co.,Ltd, Shenzhen.
  • 2020.05 - 2020.08, Database Engineer (Internship), Guangdong Creawor Technology Development Co.,Ltd, Guiyang.