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冯世坤
冯世坤

北京中关村学院导师

冯世坤,博士毕业于清华大学计算机系,研究方向聚焦于表示学习与 AI4Science。以第一作者身份在 ICLR、ICML、NeurIPS、Nature Machine Intelligence 等国际会议与期刊上发表多篇论文,并长期担任 ICLR、ICML、NeurIPS 等会议审稿人。曾获清华大学慧妍奖学金,入选清华大学计算机系优秀毕业生。研究方向围绕Science领域的表示学习展开,重点探索基础模型的预训练策略、多模态融合,以及生成与理解任务的统一框架等方向。

个人主页:https://fengshikun.github.io/
人物经历
2008-2012
浙江工业大学 软件工程
2012-2014
浙江大学 软件工程
2019-2021
商汤科技 高级算法工程师
2021-2025
清华大学 博士研究生
2025-现在
中关村人工智能研究院研究员

研究方向

1. 自监督学习

2. 多模态融合

3. AI4Science

4. 计算机视觉

 

代表性学术论文

1. Shikun Feng, Yuyan Ni, Minghao Li, Yanwen Huang, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan. UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning. International Conference on Machine Learning (ICML 2024)

2. Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma. Fractional Denoising for 3D Molecular Pre-training. International Conference on Machine Learning (ICML 2023)

3. Shikun Feng, Yuyan Ni, Yan Lu, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan. UniGEM: A Unified Approach to Generation and Property Prediction for Molecules. International Conference on Learning Representations (ICLR 2025)

4. Shikun Feng, Minghao Li, Yinjun Jia, Wei-Ying Ma, Yanyan Lan. Protein-Ligand Binding Representation Learning from Fine-Grained Interactions. International Conference on Learning Representations (ICLR 2024)

5. Shikun Feng, Bicheng Lin, Yuanhuan Mo, Yuyan Ni, Wenyu Zhu, Bowen Gao, Wei-Ying Ma, Yanyan Lan. FIGRDock: Fast Interaction-Guided Regression for Flexible Docking (NeurIPS 2025)

6. Yuyan Ni, Shikun Feng, Xin Hong, Yuancheng Sun, Wei-Ying Ma, Zhi-Ming Ma, Qiwei Ye. Pre-training with Fractional Denoising to Enhance Molecular Property Prediction. Nature Machine Intelligence (2024)

7. Yuyan Ni, Shikun Feng, Haohan Chi, Bowen Zheng, Huan-ang Gao, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan. Straight-Line Diffusion Model for Efficient 3D Molecular Generation(NeurIPS 2025)

 

主要成就与荣誉

清华大学计算机系优秀毕业生

清华大学慧妍人才奖学金

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