Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. - Pinzhuo Tian; Zhangkai Wu; Lei Qi 001; Lei Wang 001; Yinghuan Shi; Yang Gao 001 (AAAI, 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 001 (Int. J. Data Sci. Anal., 2020)

Local descriptor-based multi-prototype network for few-shot Learning. - Hongwei Huang; Zhangkai Wu; Wenbin Li 006; Jing Huo; Yang Gao 001 (Pattern Recognit., 2021)

C2VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior. - Zhangkai Wu; Longbing Cao (CoRR, 2023)

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection. - Zhangkai Wu; Longbing Cao; Qi Zhang 020; Junxian Zhou; Hui Chen 026 (CoRR, 2024)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Zhangkai Wu; Juan Chen; Xianzhi Wang 001; Julian J. McAuley; Guandong Xu; Shui Yu 001 (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)

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. - Hui Chen 026; Hengyu Liu 001; Zhangkai Wu; Xuhui Fan 001; Longbing Cao (CoRR, 2024)

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. - Zhangkai Wu; Xuhui Fan 001; Jin Li 002; Zhilin Zhao 001; Hui Chen 026; Longbing Cao (CoRR, 2024)

ProgDiffusion: Progressively Self-encoding Diffusion Models. - Zhangkai Wu; Xuhui Fan 001; Longbing Cao (KDD (1), 2025)

A Survey on Pre-Trained Diffusion Model Distillations. - Xuhui Fan 001; Zhangkai Wu; Hongyu Wu (CoRR, 2025)

TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow. - Zhangkai Wu; Xuhui Fan 001; Hongyu Wu; Longbing Cao (CoRR, 2025)

eVAE: Evolutionary Variational Autoencoder. - Zhangkai Wu; Longbing Cao; Lei Qi 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization. - Hui Chen 026; Xuhui Fan 001; Zhangkai Wu; Longbing Cao (CoRR, 2025)

WAVAE: A Weakly Augmented Variational Autoencoder for Time Series Anomaly Detection. - Zhangkai Wu; Qi Zhang; Junxian Zhou; Hui Chen; Yanfang Liu (Inf. Fusion, 2026)