Yu Wang

14 papers A* 2A 2B 1Misc 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection.
KDD (1)
Chunyu Wei, Siyuan He, Yu Wang, Yueguo Chen, Yunhai Wang, Bing Bai, Yidong Zhang, Yong Xie, Shunming Zhang, Fei Wang
2025 J jnl
Kernel Masked Image Modeling Through the Lens of Theoretical Understanding.
IEEE Trans. Neural Networks Learn. Syst.
Yurui Qian, Yu Wang, Jingjing Zou, Jingyang Lin, Yingwei Pan, Ting Yao, Qibin Sun, Tao Mei
2023 J jnl
A Low Rank Promoting Prior for Unsupervised Contrastive Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei
2023 J jnl
Dual Vision Transformer.
IEEE Trans. Pattern Anal. Mach. Intell.
Ting Yao, Yehao Li, Yingwei Pan, Yu Wang, Xiao-Ping Zhang, Tao Mei
2022 A* conf
Out-of-Distribution Detection via Conditional Kernel Independence Model.
NeurIPS
Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei
2018 J jnl
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models.
J. Mach. Learn. Res.
Bin Dai, Yu Wang, John A. D. Aston, Gang Hua, David P. Wipf
2018 J jnl
Recurrent Variational Autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers.
IEEE J. Sel. Top. Signal Process.
Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf
2017 A conf
Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders.
UAI
Yu Wang, Bin Dai, Gang Hua, John A. D. Aston, David P. Wipf
2017 J jnl
Veiled Attributes of the Variational Autoencoder.
CoRR
Bin Dai, Yu Wang, John A. D. Aston, Gang Hua, David P. Wipf
2016 J jnl
Simultaneous Bayesian Sparse Approximation With Structured Sparse Models.
IEEE Trans. Signal Process.
Wei Chen, David P. Wipf, Yu Wang, Yang Liu, Ian J. Wassell
2015 A conf
Clustered Sparse Bayesian Learning.
UAI
Yu Wang, David P. Wipf, Jeong-Min Yun, Wei Chen, Ian J. Wassell
2015 A* conf
Multi-Task Learning for Subspace Segmentation.
ICML
Yu Wang, David P. Wipf, Qing Ling, Wei Chen, Ian J. Wassell
2014 Misc conf
Exploiting the convex-concave penalty for tracking: A novel dynamic reweighted sparse Bayesian learning algorithm.
ICASSP
Yu Wang, David P. Wipf, Wei Chen, Ian J. Wassell
2013 B conf
Exploiting hidden block sparsity: Interdependent matching pursuit for cyclic feature detection.
GLOBECOM
Yu Wang, Wei Chen, Ian J. Wassell