Zhangkai Wu

According to our database, Zhangkai Wu authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization.

Hui Chen, Xuhui Fan, Zhangkai Wu, Longbing Cao

Mach. Learn., May, 2026

Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning.

Yongmin Yoo, Qiongkai Xu, Zhangkai Wu, Longbing Cao

CoRR, May, 2026

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective.

Hengyu Liu, Tianyi Li, Zhihong Cui, Yushuai Li, Zhangkai Wu, Torben Bach Pedersen, Kristian Torp, Christian S. Jensen

CoRR, May, 2026

Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition.

Xu Zhang, Longbing Cao, Runze Yang, Zhangkai Wu

CoRR, February, 2026

WAVAE: A Weakly Augmented Variational Autoencoder for Time Series Anomaly Detection.

Zhangkai Wu, Qi Zhang, Junxian Zhou, Hui Chen, Yanfang Liu

Inf. Fusion, 2026

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

CAAI Trans. Intell. Technol., 2026

2025

Nested AutoRegressive Models.

Hongyu Wu, Xuhui Fan, Zhangkai Wu, Longbing Cao

CoRR, October, 2025

VALA: Learning Latent Anchors for Training-Free and Temporally Consistent.

Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Longbing Cao

CoRR, October, 2025

FAME: Fairness-aware Attention-modulated Video Editing.

Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Zhidong Li, Longbing Cao

CoRR, October, 2025

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.

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

IEEE Trans. Neural Networks Learn. Syst., September, 2025

eVAE: Evolutionary Variational Autoencoder.

Zhangkai Wu, Longbing Cao, Lei Qi

IEEE Trans. Neural Networks Learn. Syst., February, 2025

TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow.

Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao

CoRR, February, 2025

A Survey on Pre-Trained Diffusion Model Distillations.

Xuhui Fan, Zhangkai Wu, Hongyu Wu

CoRR, February, 2025

Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets.

Leon H. Oehme, Jonas Boysen, Zhangkai Wu, Anthony Stein, Joachim Müller

Frontiers Artif. Intell., 2025

SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories.

Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ProgDiffusion: Progressively Self-encoding Diffusion Models.

Zhangkai Wu, Xuhui Fan, Longbing Cao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics.

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Density Harmonized Gradient Descent Online Active Learning for Imbalanced Data Streams.

Jianhao Huang, Zhihong Zeng, Zhangkai Wu, Hengyu Liu, Yanfang Liu

Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

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

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

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

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