Zhangkai Wu

29 papers A* 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition.
CoRR
Xu Zhang, Longbing Cao, Runze Yang, Zhangkai Wu
2026 J jnl
WAVAE: A Weakly Augmented Variational Autoencoder for Time Series Anomaly Detection.
Inf. Fusion
Zhangkai Wu, Qi Zhang, Junxian Zhou, Hui Chen, Yanfang Liu
2025 J jnl
A Survey on Pre-Trained Diffusion Model Distillations.
CoRR
Xuhui Fan, Zhangkai Wu, Hongyu Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I
PAKDD (1)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II
PAKDD (2)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part III
PAKDD (3)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV
PAKDD (4)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V
PAKDD (5)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 J jnl
FAME: Fairness-aware Attention-modulated Video Editing.
CoRR
Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Zhidong Li, Longbing Cao
2025 J jnl
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.
IEEE Trans. Neural Networks Learn. Syst.
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2025 J jnl
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization.
CoRR
Hui Chen, Xuhui Fan, Zhangkai Wu, Longbing Cao
2025 J jnl
Nested AutoRegressive Models.
CoRR
Hongyu Wu, Xuhui Fan, Zhangkai Wu, Longbing Cao
2025 J jnl
Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets.
Frontiers Artif. Intell.
Leon H. Oehme, Jonas Boysen, Zhangkai Wu, Anthony Stein, Joachim Müller
2025 — conf
ProgDiffusion: Progressively Self-encoding Diffusion Models.
KDD (1)
Zhangkai Wu, Xuhui Fan, Longbing Cao
2025 — conf
SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics.
KDD (2)
Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao
2025 J jnl
TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow.
CoRR
Zhangkai Wu, Xuhui Fan, Hongyu Wu, Longbing Cao
2025 J jnl
VALA: Learning Latent Anchors for Training-Free and Temporally Consistent.
CoRR
Zhangkai Wu, Xuhui Fan, Zhongyuan Xie, Kaize Shi, Longbing Cao
2025 J jnl
eVAE: Evolutionary Variational Autoencoder.
IEEE Trans. Neural Networks Learn. Syst.
Zhangkai Wu, Longbing Cao, Lei Qi
2024 J jnl
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CoRR
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
2024 J jnl
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.
CoRR
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2024 J jnl
LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation.
CoRR
Hanze Ding, Zhangkai Wu, Jiyan Zhang, Ming Ping, Yanfang Liu
2024 J jnl
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks.
CoRR
Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao
2024 J jnl
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.
CoRR
Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen
2023 J jnl
C
CoRR
Zhangkai Wu, Longbing Cao
2023 J jnl
eVAE: Evolutionary Variational Autoencoder.
CoRR
Zhangkai Wu, Longbing Cao, Lei Qi
2021 J jnl
Local descriptor-based multi-prototype network for few-shot Learning.
Pattern Recognit.
Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao
2020 J jnl
A novel fault propagation path identification inference algorithm using parent nodes filter.
Int. J. Data Sci. Anal.
Shuanzhu Sun, Zhangkai Wu, Chunlei Zhou, Xiaolong Qi, Bei Song, Yang Gao
2020 A* conf
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
AAAI
Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao
2019 J jnl
Differentiable Meta-learning Model for Few-shot Semantic Segmentation.
CoRR
Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao