A Study of GIS Development Based on KML and Google Earth. - Yingjun Du; Chongchong Yu; Jie Liu 043 (NCM, 2009)

Learning to Learn with Variational Information Bottleneck for Domain Generalization. - Ying-Jun Du; Jun Xu 019; Huan Xiong; Qiang Qiu 001; Xiantong Zhen; Cees G. M. Snoek; Ling Shao 001 (ECCV (10), 2020)

Learning to Learn Kernels with Variational Random Features. - Xiantong Zhen; Haoliang Sun; Ying-Jun Du; Jun Xu 019; Yilong Yin; Ling Shao 001; Cees Snoek (ICML, 2020)

Learning to Learn Variational Semantic Memory. - Xiantong Zhen; Ying-Jun Du; Huan Xiong; Qiang Qiu 001; Cees Snoek; Ling Shao 001 (NeurIPS, 2020)

Variational Image Deraining. - Ying-Jun Du; Jun Xu 019; Qiang Qiu 001; Xiantong Zhen; Lei Zhang 093 (WACV, 2020)

Calibrated Multivariate Regression Networks. - Lei Zhang 093; Ying-Jun Du; Xin Li 100; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2020)

Conditional Variational Image Deraining. - Ying-Jun Du; Jun Xu 019; Xiantong Zhen; Ming-Ming Cheng; Ling Shao 001 (IEEE Trans. Image Process., 2020)

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. - Ying-Jun Du; Nithin Holla; Xiantong Zhen; Cees Snoek; Ekaterina Shutova (ACL/IJCNLP (1), 2021)

MetaNorm: Learning to Normalize Few-Shot Batches Across Domains. - Ying-Jun Du; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (ICLR, 2021)

Learning to Adapt With Memory for Probabilistic Few-Shot Learning. - Lei Zhang 093; Liyun Zuo; Ying-Jun Du; Xiantong Zhen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Hierarchical Variational Memory for Few-shot Learning Across Domains. - Ying-Jun Du; Xiantong Zhen; Ling Shao 001; Cees G. M. Snoek (ICLR, 2022)

Variational Abnormal Behavior Detection With Motion Consistency. - Jing Li 027; Qingwang Huang; Ying-Jun Du; Xiantong Zhen; Shengyong Chen; Ling Shao 001 (IEEE Trans. Image Process., 2022)

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

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

Memory-augmented Variational Adaptation for Online Few-shot Segmentation. - Jie Liu 043; Yingjun Du; Zehao Xiao; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (ICCV (Workshops), 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 (ICML, 2023)

Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. - Shuo Chen 010; Ying-Jun Du; Pascal Mettes; Cees G. M. Snoek (ICMR, 2023)

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

Learning to Learn With Variational Inference for Cross-Domain Image Classification. - Lei Zhang 093; Yingjun Du; Jiayi Shen; Xiantong Zhen (IEEE Trans. Multim., 2023)

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

Training-Free Semantic Segmentation via LLM-Supervision. - Wenfang Sun; Yingjun Du; Gaowen Liu; Ramana Kompella; Cees G. M. Snoek (CoRR, 2024)

Prompt Diffusion Robustifies Any-Modality Prompt Learning. - Yingjun Du; Gaowen Liu; Yuzhang Shang; Yuguang Yao; Ramana Kompella; Cees G. M. Snoek (CoRR, 2024)

QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. - Wenfang Sun; Yingjun Du; Gaowen Liu; Cees G. M. Snoek (CoRR, 2024)

MetaKernel: Learning Variational Random Features With Limited Labels. - Yingjun Du; Haoliang Sun; Xiantong Zhen; Jun Xu 019; Yilong Yin; Ling Shao 001; Cees G. M. Snoek (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. - Guanhe Huang; Jingyue Shi; Jun Xu 019; Jing Li 027; Shengyong Chen; Yingjun Du; Xiantong Zhen; Honghai Liu 001 (IEEE Trans. Cybern., 2024)

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. - Jie Liu 043; Pan Zhou; Yingjun Du; Ah-Hwee Tan; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (ICLR, 2025)