Zhangkai Wu - RankMe

29 papers A* 1Journal 21Unranked 2

Year	Rank	Type	Title / 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