Here is Guikun Chen (陈桂锟).
I am currently a visiting PhD student at Harvard University (advised by Prof. Lauren O’Donnell) and a PhD candidate at Zhejiang University (advised by Prof. Wenguan Wang). I completed my Master’s studies under the supervision of Prof. Jun Xiao.
My research interests lie in multi-modal learning and AI4Science.
I am always happy to collaborate with motivated students and researchers. Feel free to reach out to me at - guikunchen[at]gmail.com
📝 Publications
(*: Equal contribution)
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Nature Communications 2025Chemical knowledge-informed framework for privacy-aware retrosynthesis learning. Guikun Chen, Xu Zhang, Xiaolin Hu, Yong Liu, Yi Yang, Wenguan Wang -
CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model. Zhichao Zhai*, Guikun Chen*, Wenguan Wang, Dong Zheng, Jun Xiao -
ICLR 2025 OralDo as We Do, Not as You Think: the Conformity of Large Language Models. Zhiyuan Weng*, Guikun Chen*, Wenguan Wang -
ICLR 2025Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation. Minghan Chen, Guikun Chen, Wenguan Wang, Yi Yang -
NeurIPS 2024Scene Graph Generation with Role-Playing Large Language Models. Guikun Chen*, Jin Li*, Wenguan Wang -
arXiv 2024A Survey on 3D Gaussian Splatting. Guikun Chen, Wenguan Wang -
ICML 2024DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent). Zongxin Yang, Guikun Chen, Xiaodi Li, Wenguan Wang, Yi Yang -
CVPR 2024Neural Clustering based Visual Representation Learning. Guikun Chen, Xia Li, Yi Yang, Wenguan Wang -
ICME 2023 OralAddressing Predicate Overlap in Scene Graph Generation with Semantic Granularity Controller. Guikun Chen*, Lin Li*, Yawei Luo, Jun Xiao
🎖 Honors and Awards
- 2025 NSFC Young Student Basic Research Program.
- 2025 National Scholarship.
- 2020 National Scholarship.