👋 I’m a PhD student of the Laboratory for Image Information Communications at Tohoku University under the supervisor of Prof. Shinichiro Omachi. Previously, I received M.S. from HoHai University in Jun. 2021 and B.S. from JiShou University in Jun. 2018.

🔬 My research interest includes 3D Scene Understanding, Object Detection, Image Recognition, Multi-modal (including images, language, 3d point cloud.) and their applications based on deep learning & Convolutional Neural Networks.

🌟 I am currently seeking job opportunities and collaborators. If you are interested in my research, please feel free to contact me via wang.juan.t4[AT]dc.tohoku.ac.jp (replace [AT] with @)..

📢 News

📝 Publications

Journal

Sensors 2024

TAMC: Textual Alignment and Masked Consistency for Open-Vocabulary 3D Scene Understanding.
Juan Wang, Zhijie Wang, Tomo Miyazaki, Yaohou Fan, Shinichiro Omachi.

• The research improves 3D scene understanding through masked consistency training and pseudo-text labels, effectively addressing sparse point cloud processing and training-inference inconsistency issues.

Journal of Physics 2020

An end-to-end deep neural network is proposed to detect aluminum profile defects \ Wang J, Meng Z H.

• Proposed a Deformable Feature Pyramid module to detect aluminum profile defects..

Conference

• MIRU 2024 Improved Open-Vocabulary 3D Scene Understanding via Masked Feature Alignment. Juan Wang, Zhijie Wang, Tomo Miyazaki, Shinichiro Omachi. 画像の認識・理解シンポジウム MIRU, 2024.

💻 Work Experience

• Teaching Assistance - GSIS, Tohoku University
  • Course: Data Engineering Data & Science Programming Fundamentals
  • Time: Mar. 2022 - Jul.2024.
  • Place: Sendai, Japan.
• Software Engineer - Technology Center in 37 Interactive Entertainment
  • Content: Developed an automated platform integrating multiple overseas ad channels (TikTok, Google, Line) with real-time performance tracking and alerts; implemented data-driven ad deployment strategies based on ad metrics, like ROI and CPA, while facilitating systematic documentation for future campaign optimization.
  • Time: Jul. 2021 - Jan. 2023.
  • Place: Guangzhou, China.

🎖 Honors and Awards

• 2023.04 Funding Support from WISE Program for AI Electronics, Tohoku University (Top 1%)
• 2021.06 Outstanding Graduate Student, Hohai University (Top 3%)
• 2018.06 Outstanding Graduate Student, Jishou University (Top 3%)

🧑‍🎨 Skills

• Python, Pytorch, Java, Php, HTML, CSS, JavaScript, MySQL, Linux.
• Language: English(TOEIC 755, Jan.2023; Duolingo 115, Step.2024), Japanese 日本语(Beginner, 初心者), Chinese (Native).