👋 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 and 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 2025 Class-Agnostic 3D Segmentation without Manual Labels by 2D Mask Tracking. Juan Wang, Yasutomo Kawanishi, Zhijie Wang, Tomo Miyazaki, Shinichiro Omachi. 画像の認識・理解シンポジウム MIRU, 2025.

• 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

• Computer Vision Research Intern - Baidu Inc., Global Business Unit
  • Content: Utilized diffusion models and deep learning technologies to develop intelligent image/video generation algorithms, delivering AI-powered visual content creation and image optimization solutions for global product offerings.
  • Time: Sep. 2025 - Nov.2025.
  • Place: Shenzhen, China.
• Research Intern - RGP, RIKEN
  • Content: Conducted research on indoor 3D scene understanding under the supervision of Dr. Kawanishi during an internship with the Multimodal Data Recognition Research Team, part of the Guardian Robot Project (GRP) at RIKEN(理化学研究所).
  • Time: May. 2025 - Aug.2025.
  • Place: Remote-Kyoto, Japan.
• Teaching Assistance - GSIS, Tohoku University
  • Course: Data Engineering Data & Science Programming Fundamentals
  • Time: Mar. 2024 - 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).