Du, Yingjun

14 publications

ICLR 2025 CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

NeurIPS 2025 Variational Task Vector Composition Boyuan Zhang, Yingjun Du, Xiantong Zhen, Ling Shao

NeurIPS 2024 IPO: Interpretable Prompt Optimization for Vision-Language Models Yingjun Du, Wenfang Sun, Cees G. M. Snoek

CoLLAs 2023 EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G.M. Snoek

ICCVW 2023 Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves

ICML 2023 MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek

NeurIPS 2023 ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek

CVPR 2023 SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek

ICLR 2022 Hierarchical Variational Memory for Few-Shot Learning Across Domains Yingjun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

ICLR 2021 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Yingjun Du, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

ICML 2020 Learning to Learn Kernels with Variational Random Features Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

NeurIPS 2020 Learning to Learn Variational Semantic Memory Xiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

ECCV 2020 Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

WACV 2020 Variational Image Deraining Yingjun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang