About Me

Hello! I am a final-year Master’s student at Jianghan University. I am currently working remotely on agent research with Prof. Yun Chen of SUFE.

My research interests mainly include agents, multimodal understanding and generation, and natural language processing, with a focus on recursive self-improvement and long-video understanding.

I am always open to academic discussions and welcome opportunities for research collaborations. Please feel free to reach out to me via email.

News

  • 📄 [07/2026]: One arXiv preprint has been released, First Author.
    《ChartSync: A Benchmark for Visuo-Logical Cascading Chart Editing》. [Paper] [Code] [Dataset]
  • 💼 [05/2026]: Left HiThink Research.
  • 🚀 [04/2026]: One paper has been accepted to ICMR 2026 (CCF-B), First Author. 《CodeMNER: Vision-Language Models are Better Multimodal Named Entity Recognizers via Progressive Vision-Code Alignment》. [Paper]
  • 🚀 [04/2026]: One paper has been accepted to ICMR 2026 (CCF-B), Second Author. 《Query-Guided Conflict Inference and Incongruity-Aware Alignment for Implicit Hate Speech Detection in Videos》. [Paper]
  • 💼 [10/2025]: Joined HiThink Research as a Research Intern.
  • 🏆 [08/2025]: One paper has been accepted to PRICAI 2025 (CCF-C), First Author. 《AMCCL: Adaptive Multi-scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis》. [Paper]
  • 🌱 [01/2025]: Started my AI research journey.

Education

Internship

  • HiThink Research, Research Intern, 2025.10 - 2026.05
    • Multimodal Document Image Editing: Developed edit pipeline, constructed benchmarks, and developed complex agentic image edit workflow.
    • Factual Hallucination Detection: Developed a three-stage Agent system comprising atomic fact segmentation, information retrieval (Web & Financial databases), and reasoning/judgment.
  • MEIZU, Algorithm Intern, 2025.09 - 2025.10
    • Mobile GUI Agent: Applied reinforcement learning for GUI Agent development on mobile operating systems.

Research Interests

  • Agent
  • Multimodal Understanding and Generation
  • Natural Language Processing