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Zhangkai Wu
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 11
Top Topics
Semantic Segmentation
Class Probabilities
Junction Tree
Multiple Representations
Top Venues
CoRR
Pattern Recognit.
AAAI
Int. J. Data Sci. Anal.
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Publications
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Zhangkai Wu
,
Longbing Cao
,
Qi Zhang
,
Junxian Zhou
,
Hui Chen
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.
CoRR
(2024)
Zhangkai Wu
,
Xuhui Fan
,
Jin Li
,
Zhilin Zhao
,
Hui Chen
,
Longbing Cao
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks.
CoRR
(2024)
Hui Chen
,
Hengyu Liu
,
Zhangkai Wu
,
Xuhui Fan
,
Longbing Cao
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.
CoRR
(2024)
Hanze Ding
,
Zhangkai Wu
,
Jiyan Zhang
,
Ming Ping
,
Yanfang Liu
LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation.
CoRR
(2024)
Yakun Chen
,
Kaize Shi
,
Zhangkai Wu
,
Juan Chen
,
Xianzhi Wang
,
Julian J. McAuley
,
Guandong Xu
,
Shui Yu
Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CoRR
(2024)
Zhangkai Wu
,
Longbing Cao
VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior.
CoRR
(2023)
Zhangkai Wu
,
Longbing Cao
,
Lei Qi
eVAE: Evolutionary Variational Autoencoder.
CoRR
(2023)
Hongwei Huang
,
Zhangkai Wu
,
Wenbin Li
,
Jing Huo
,
Yang Gao
Local descriptor-based multi-prototype network for few-shot Learning.
Pattern Recognit.
116 (2021)
Pinzhuo Tian
,
Zhangkai Wu
,
Lei Qi
,
Lei Wang
,
Yinghuan Shi
,
Yang Gao
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
AAAI
(2020)
Shuanzhu Sun
,
Zhangkai Wu
,
Chunlei Zhou
,
Xiaolong Qi
,
Bei Song
,
Yang Gao
A novel fault propagation path identification inference algorithm using parent nodes filter.
Int. J. Data Sci. Anal.
10 (2) (2020)
Pinzhuo Tian
,
Zhangkai Wu
,
Lei Qi
,
Lei Wang
,
Yinghuan Shi
,
Yang Gao
Differentiable Meta-learning Model for Few-shot Semantic Segmentation.
CoRR
(2019)