Fu Feng

[1] Learngene: Inheritable “Genes” in Intelligent Agents
Fu Feng, Jing Wang, Xu Yang, Xin Geng
Artificial Intelligence (AIJ).

[2] Residual k-Nearest Neighbors Label Distribution Learning
Jing Wang, Fu Feng, Jianhui Lv, Xin Geng
Pattern Recognition (PR).

[1] Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation
Fu Feng, Yucheng Xie, Ruixiao Shi, Xu Yang, Jing Wang, Xin Geng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'26) , ⭐ Oral (Top 0.88%) .

[2] Knowledge Diversion for Efficient Morphology Control and Policy Transfer
Fu Feng, Ruixiao Shi, Yucheng Xie, Jianlu Shen, Jing Wang, Xin Geng
International Conference on Machine Learning (ICML'26).

[3] WAVE: Weight Template for Adaptive Initialization of Variable-sized Models
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'25).

[4] Redefining <Creative> in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation
Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'25).

[5] ECO: Evolving Core Knowledge for Efficient Transfer
Fu Feng, Yucheng Xie, Ruixiao Shi, Jianlu Shen, Jing Wang, Xin Geng
Annual Conference on Neural Information Processing Systems (NeurIPS'25).

[6] Self-Supervised Weight Templates for Scalable Vision Model Initialization
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
International Conference on Machine Learning (ICML'26).

[7] KIND: Knowledge Integration and Diversion for Training Decomposable Models
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
International Conference on Machine Learning (ICML'25).

[8] DivControl: Knowledge Diversion for Controllable Image Generation
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
AAAI Conference on Artificial Intelligence (AAAI'26) , ⭐ Oral (Top 4.5%) .

[9] FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'26).

[10] One-for-All Model Initialization with Frequency-Domain Knowledge
Jianlu Shen, Fu Feng, Yucheng Xie, Jiaqi Lv, Xin Geng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'26) , 🏆 Compute Transparency Champion Award .

[11] A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
Jianlu Shen, Fu Feng, Jiaze Xu, Yucheng Xie, Jiaqi Lv, Xin Geng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'26).

[12] CHARGE: Chinese Healthcare Augmented Retrieval and Generation Framework
Ruixiao Shi, Fu Feng, Yucheng Xie, Jing Wang
International Conference on Natural Language Processing and Chinese Computing (NLPCC'26).

[13] Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, and Xin Geng
Annual Conference on Neural Information Processing Systems (NeurIPS'24) .

[1] Constraint-based Pre-training: From Structured Constraints to Scalable Model Initialization
Fu Feng, Yucheng Xie, Ruixiao Shi, Jing Wang, Xin Geng
Arxiv.

[2] FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
Ruixiao Shi, Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
Arxiv.

[3] A Creative Agent is Worth a 64-Token Template
Ruixiao Shi, Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
Arxiv.

[4] SafeGene: Reusable Adapters for Transferable Safety Alignment
Yanghan Wang, Zhiqiang Kou, Fu Feng, Jing Wang, Xin Geng
Arxiv.