Zhangkai Wu

According to our database, Zhangkai Wu authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks.

Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao

CoRR, 2024

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.

Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao

CoRR, 2024

LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation.

Hanze Ding, Zhangkai Wu, Jiyan Zhang, Ming Ping, Yanfang Liu

CoRR, 2024

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.

Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu

CoRR, 2024

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.

Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen

CoRR, 2024

2023

C²VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior.

Zhangkai Wu, Longbing Cao

CoRR, 2023

eVAE: Evolutionary Variational Autoencoder.

Zhangkai Wu, Longbing Cao, Lei Qi

CoRR, 2023

2021

Local descriptor-based multi-prototype network for few-shot Learning.

Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao

Pattern Recognit., 2021

2020

A novel fault propagation path identification inference algorithm using parent nodes filter.

Shuanzhu Sun, Zhangkai Wu, Chunlei Zhou, Xiaolong Qi, Bei Song, Yang Gao

Int. J. Data Sci. Anal., 2020

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.

Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020