CV

Education

• B.S. in Artificial Intelligence, Xiamen University, 2023-2027 (expected)
  • School of Informatics
  • GPA: [Your GPA here]
  • Relevant Coursework: Machine Learning, Computer Vision, Deep Learning, Natural Language Processing

Research Experience

• Mar 2025 - Present: Research Intern
  • MAC Lab (Key Laboratory of Multimedia Trusted Perception and Efficient Computing), Xiamen University
  • Supervisor: Dr. Jiayi Ji and Prof. Rongrong Ji
  • Focus: Multimodal learning, generative models, unified understanding and generation
• Jun 2025 - Sep 2025: Research Intern
  • DeepRoute.ai, Shenzhen, China
  • Focus: Model development and optimization for autonomous driving systems
  • Responsibilities: Model R&D, performance optimization, algorithm implementation
• Sep 2024 - Feb 2025: Research Assistant
  • Gaoling School of Artificial Intelligence, Renmin University of China
  • Supervisor: Prof. Di Hu
  • Focus: Multimodal transformers, cooperation dynamics in attention mechanisms

Publications

MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models

**Hang Liu** (co-first author), et al. "MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models." Submitted to CVPR 2026.

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer

Honors & Awards

• National Scholarship, Ministry of Education of China, 2025
• [Add other awards here]

Skills

• Programming Languages: Python, C++, MATLAB
• Deep Learning Frameworks: PyTorch, TensorFlow, JAX
• Tools & Libraries:
  • Computer Vision: OpenCV, Pillow, torchvision
  • NLP: Transformers, LangChain
  • Others: Git, Docker, Weights & Biases, Jupyter
• Research Skills: Paper reading, experiment design, scientific writing
• Languages: Chinese (Native), English (Fluent)