陈雪锦  (教授)

陈雪锦，教授，博士生导师。分别于2003 和 2008 年分别于中国科学技术大学获得学士和博士学位，2008-2010 年于耶鲁大学计算机系从事博士后研究。2010 年加入中国科学技术大学。曾在斯坦福大学、微软亚洲研究院任访问学者。主要研究方向为计算机图形学、三维视觉、脑显微图像分析。在 ACM SIGGRAPH、IEEE TVCG、TMI、ACM Multimedia 等期刊会议上发表学术论文100余篇，承担国家科研项目10余项。获中国图象图形学学会“石青云女科学家”奖、2022 全国几何设计与计算大会最佳论文、CVM 期刊 2019 年度最佳论文提名奖、国家教学成果二等奖、安徽省教学成果特等奖、一等奖等奖项。

Publications： dblp: Xuejin Chen    ‪Xuejin Chen‬ - ‪Google Scholar‬ 

News:

• I was recognized as a "Gold Reviewer" of ICML 2026.

• Our paper "Hie4DGS: Hierarchical 4D Gaussian Splatting From Monocular Dynamic Video" has been accepted by IEEE Trans. on Visualization and Computer Graphics 2026.

• Our paper "Neuron Segment Connectivity Prediction with Multimodal Features for Connectomics" has been accepted by IEEE Transactions on Medical Imaging (TMI) 2026. 

• Our paper "ResGS: Residual Densification of 3D Gaussian for Efficient Detail Recovery" has been accepted by ICCV 2025. 

• Our paper "IMKS-splatting" has been accepted by SIGGRAPH 2025 (ACM Trans. Graph.). 

• Two paper have been accepted by Computer Graphics International, 2025. 

• Our paper "BioSam" has been published in IEEE  Journal of Biomedical and Health Informatics 2025. 

• Our paper "Dual attribute-spatial relation alignment for 3D visual grounding" won the Best Paper Award of the 3DMM Workshop 2024.

• Our paper "GaussianPro" have been accepted by ICML 2024.

• Two papers have been accepted by CVPR 2024.

• Two papers have been accepted by ICLR 2024.

• Our paper "Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing" have been accepted by AAAI 2024.

在研项目：

• 大规模生物医学影像中的超长精细结构重建方法研究，国家自然科学基金委；

• 基于内生复杂性的类脑通用智能大模型，中科院稳定支持青年团队；

• 人工智能驱动的下一代工业软件开发及应用，安徽省科技厅重点攻坚专项；

• 基于高速成像和智能分析的新型空间微生物组技术，中国科学技术大学团队培育项目；

• 多模态时空高阶推理数据构建和质量评估关键技术研究，华为校企合作项目；