About Me

I am currently a D.Eng student at Zhejiang University. My research interests include artificial intelligence, with a focus on scene understanding, generative AI, (multimodal) large language models, and their applications.


Education

  • D.Eng in Artificial Intelligence, Zhejiang University, China, 2023–Present. Supervised by Prof. Wenguan Wang.
  • MS in Artificial Intelligence, Zhejiang University, China, 2021–2022. Supervised by Prof. Jun Xiao.


Selected Publications

Chemical knowledge-informed framework for privacy-aware retrosynthesis learning

Guikun Chen, Xu Zhang, Yi Yang, Wenguan Wang

arXiv. [PDF] [Code]

Scene Graph Generation with Role-Playing Large Language Models

Guikun Chen, Jin Li, Wenguan Wang

NeurIPS 2024. [PDF] [Code]

Neural Clustering based Visual Representation Learning

Guikun Chen, Xia Li, Yi Yang, Wenguan Wang

CVPR 2024. [PDF] [Code]

A Survey on 3D Gaussian Splatting

Guikun Chen, Wenguan Wang

arXiv 2024. [PDF] [Code]

TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model

Zhichao Zhai, Guikun Chen, Wenguan Wang, Dong Zheng, Jun Xiao

CVPR 2025. [PDF]

Do as We Do, Not as You Think: the Conformity of Large Language Models

Zhiyuan Weng, Guikun Chen, Wenguan Wang

ICLR 2025 Oral. [PDF] [Code]

Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation

Minghan Chen, Guikun Chen, Wenguan Wang, Yi Yang

ICLR 2025. [PDF] [Code]

DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

Zongxin Yang, Guikun Chen, Xiaodi Li, Wenguan Wang, Yi Yang

ICML 2024. [PDF] [Code]


Selected Awards

National Scholarship, 2020.