CV

Education

Ph.D. in Computer Science and Technology, Nankai University, 2026.09 - present

School of Cyberspace Security · Supervisors: Prof. Ding Dan and Associate Prof. Dai Yimian

M.S. in Software Engineering, China University of Mining and Technology, 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

B.S. in Computer Science and Technology, Hohai University, 2017.09 - 2021.06

School of Computer and Information · GPA: 4.36/5, rank 50/209 · Supervisor: Prof. Liu Fan

Research Interests

• Remote sensing object detection
• Out-of-distribution generalization
• 3D scene understanding

Project Experience

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

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

Publications

Pavement crack detection using attention u-net with multiple sources

Wang J, Liu F, Yang W, et al. Pavement crack detection using attention u-net with multiple sources. In PRCV 2020 Proceedings, 664-672 (2020).

A survey of convolutional neural networks: analysis, applications, and prospects

Li Z, Liu F, Yang W, et al. A survey of convolutional neural networks: analysis, applications, and prospects. IEEE Trans. Neural Netw. Learn. Syst. 33(12):6999-7019 (2021).

Syntactic-Conditional Diffusion Networks for Controllable Image Captioning

Bing Liu, Wenjie Yang, Mingming Liu, Hao Liu, Yong Zhou, and Peng Liu. Syntactic-Conditional Diffusion Networks for Controllable Image Captioning. ACM Trans. Multimedia Comput. Commun. Appl. 21(9):1-25 (2025).

Retrieval-augmented Pseudo-image Guided Alignment and Text Domain-aware Memory Recall for Continual Zero-shot Captioning

Bing Liu, Wenjie Yang, Mingming Liu, Hao Liu, Yong Zhou, and Peng Liu. Retrieval-augmented Pseudo-image Guided Alignment and Text Domain-aware Memory Recall for Continual Zero-shot Captioning. IEEE TCSVT (accepted, 2026).

Evolving Trends in Cleanliness of Open Source Projects

Yan D, Yang W, et al. Evolving Trends in Cleanliness of Open Source Projects. ACM TOSEM (accepted, 2026).