杨文杰

杨文杰

PhD student at Nankai University working on remote sensing object detection, out-of-distribution generalization, and 3D scene understanding. I was also named an Outstanding Graduate of China University of Mining and Technology and received the Outstanding Master's Thesis award.

Wenjie Yang

I am Wenjie Yang, a PhD student in Computer Science and Technology at Nankai University, School of Cyberspace Security. My research interests include remote sensing object detection, out-of-distribution generalization, and 3D scene understanding. I previously earned an M.S. in Software Engineering from China University of Mining and Technology, where I ranked 1/12 and received the Outstanding Graduate and Outstanding Master’s Thesis awards, and a B.S. in Computer Science and Technology from Hohai University, where I ranked 50/209.

Quick Facts

  • PhD: Nankai University, Computer Science and Technology, 2026.09 - present
  • M.S.: China University of Mining and Technology, Software Engineering, 2023.09 - 2026.06
  • B.S.: Hohai University, Computer Science and Technology, 2017.09 - 2021.06
  • Honors: Outstanding Graduate of China University of Mining and Technology; Outstanding Master’s Thesis of China University of Mining and Technology
  • Skills: Python / C++ / JavaScript, PyTorch, Linux and Shell scripting

Education

  • Nankai University, PhD in Computer Science and Technology, 2026.09 - present
    • School of Cyberspace Security
    • Supervisors: Prof. Ding Dan and Associate Prof. Dai Yimian
  • China University of Mining and Technology, M.S. in Software Engineering, 2023.09 - 2026.06
    • School of Computer Science and Technology
    • GPA: 88.92/100, rank 1/12
    • Supervisors: Prof. Liu Bing and Associate Prof. Liu Peng
  • Hohai University, B.S. in Computer Science and Technology, 2017.09 - 2021.06
    • School of Computer and Information
    • GPA: 4.36/5, rank 50/209
    • Supervisor: Prof. Liu Fan

Recent Progress

  • 2026-02-26: Evolving Trends in Cleanliness of Open Source Projects was accepted by ACM TOSEM.
  • 2026-01-12: Retrieval-augmented Pseudo-image Guided Alignment and Text Domain-aware Memory Recall for Continual Zero-shot Captioning was accepted by IEEE TCSVT.
  • 2025-06-29: Syntactic-Conditional Diffusion Networks for Controllable Image Captioning was accepted by ACM TOMM.
  • 2021-05-21: A survey of convolutional neural networks: analysis, applications, and prospects was published in IEEE TNNLS.

Project Experience

  • Mine Safety Risk Visualization and Control System, 2025.10 - 2025.12
    • Tech stack: Ruoyi front-end/back-end separation framework, visualization dashboard software, MySQL
    • Responsibilities: real-time data display, dashboard development, DeepSeek-based question answering
    • Highlights: built a dashboard with Shanhaijing and connected real-time data; designed prompts for hazard source analysis using the database and DeepSeek

Honors and Awards

  • Outstanding Graduate of China University of Mining and Technology
  • Outstanding Master’s Thesis of China University of Mining and Technology

Skills

  • Python / C++ / JavaScript
  • PyTorch
  • Linux and Shell scripting
  • CET-6: 536

Selected Papers

  • Evolving Trends in Cleanliness of Open Source Projects
  • Retrieval-augmented Pseudo-image Guided Alignment and Text Domain-aware Memory Recall for Continual Zero-shot Captioning
  • Syntactic-Conditional Diffusion Networks for Controllable Image Captioning
  • A survey of convolutional neural networks: analysis, applications, and prospects
  • Pavement crack detection using attention u-net with multiple sources

See the full list on the Publications page.