Fu Feng

[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).

[2] 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).

[3] 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).

[4] 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).

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

[6] 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).

[7] 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).

[8] 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).

[9] 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).

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

[11] 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) .

[12] Knowledge Diversion for Efficient Morphology Control and Policy Transfer
Fu Feng, Ruixiao Shi, Yucheng Xie, Jianlu Shen, Jing Wang, Xin Geng
Arxiv.

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

[14] Self-Supervised Weight Templates for Scalable Vision Model Initialization
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
Arxiv.

[15] One-for-All Model Initialization with Frequency-Domain Knowledge
Jianlu Shen, Fu Feng, Yucheng Xie, Jiaqi Lv, Xin Geng
Arxiv.

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

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