VLDB 2026 Research / reviewers in the wild / expert
Dake Zhou
dblp:26/2109
· DBLP profile ↗
19ranked-venue papers
5as first author
12since 2021 · last 2025
0000-0003-2156-8319ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 9 · 1 first-author · 7 since 2021Artificial intelligence and machine learning · 8 · 4 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | EGU-GS: Efficient Gaussian utilization for real-time 3D Gaussian splatting
Zhiyu Zheng, Dake Zhou |
Image Vis. Comput. | 2 |
| 2024 | Goal-CurveNet: A pedestrian trajectory prediction network using heterogeneous graph attention goal prediction and curve fitting
Xiangchen Wang, Xin Yang 0002, Dake Zhou |
Eng. Appl. Artif. Intell. | 3 |
| 2024 | Context CVGN: A conditional multimodal trajectory prediction network based on scene semantic modeling
Xin Yang 0002, Yitian Zhu, Dake Zhou, Tao Li 0011 |
Inf. Sci. | 4 |
| 2024 | Dual experience replay-based TD3 for single intersection signal control
Yichao Gao, Dake Zhou, Yaqi Shen, Xin Yang 0002 |
J. Supercomput. | 2 |
| 2022 | MRDN: A lightweight Multi-stage residual distillation network for image Super-Resolution
Xin Yang 0002, Dake Zhou, Tao Li 0011 |
Expert Syst. Appl. | 4 |
| 2022 | NasmamSR: a fast image super-resolution network based on neural architecture search and multiple attention mechanism
Xin Yang 0002, Jiangfeng Fan, Chenhuan Wu, Dake Zhou, Tao Li 0011 |
Multim. Syst. | 4 |
| 2022 | DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentation
Xin Yang 0002, Dake Zhou |
Multim. Tools Appl. | 4 |
| 2022 | An improved anchor neighborhood regression SR method based on low-rank constraint
Xin Yang 0002, Dake Zhou |
Vis. Comput. | 5 |
| 2022 | An image super-resolution network based on multi-scale convolution fusion
Xin Yang 0002, Yitian Zhu, Dake Zhou |
Vis. Comput. | 4 |
| 2021 | Remote sensing image super-resolution based on convolutional blind denoising adaptive dense connectionabstractAbstract The current super‐resolution (SR) deep network is mainly applied to the common image and pays little attention to the image with noise. The remote sensing image contains much noise, so that the SR reconstruction effect is not satisfactory. Therefore, a convolution blind denoising adaptive dense connection SR (CBD‐ADCSR) network for the remote sensing image is proposed in this paper. The whole model is divided into a convolution blind denoising (CBD) network for denoising and an ADCSR network for reconstruction. Firstly, the components of the network are given in detail and are analysed. Secondly, a data set making method is designed combining motion blur, defocusing blur and Gaussian noise, which is used to generate low‐resolution image data sets with complex degradation for the model training. Finally, through the detailed comparative experiment, it is proved that the reconstruction effect of the CBD‐ADCSR model is better than that of the most state‐of‐the‐art algorithms in objective criteria. In addition, compared with the original ADCSR network, CBD‐ADCSR has a stronger ability for noise suppression. Xin Yang 0002, Tangxin Xie, Dake Zhou |
IET Image Process. | 4 |
| 2021 | Image super-resolution based on deep neural network of multiple attention mechanism
Xin Yang 0002, Dake Zhou |
J. Vis. Commun. Image Represent. | 4 |
| 2021 | An image super-resolution deep learning network based on multi-level feature extraction module
Xin Yang 0002, Yifan Zhang 0034, Dake Zhou |
Multim. Tools Appl. | 4 |
| 2020 | A new TLD target tracking method based on improved correlation filter and adaptive scale
Xin Yang 0002, Songyan Zhu, Sijun Xia, Dake Zhou |
Vis. Comput. | 4 |
| 2015 | An improved iterative back projection algorithm based on ringing artifacts suppression
Xin Yang 0002, Dake Zhou, Ruigang Yang |
Neurocomputing | 3 |
| 2010 | A modification of kernel discriminant analysis for high-dimensional data - with application to face recognition
Dake Zhou, Zhenmin Tang |
Signal Process. | 1 |
| 2010 | Kernel-based improved discriminant analysis and its application to face recognition
Dake Zhou, Zhenmin Tang |
Soft Comput. | 1 |
| 2006 | Improved-LDA based face recognition using both facial global and local information
Dake Zhou, Xin Yang 0007, Ningsong Peng |
Pattern Recognit. Lett. | 1 |
| 2004 | Face Recognition Using Direct-Weighted LDA
Dake Zhou, Xin Yang 0007 |
PRICAI | 1 |
| 2004 | Face Recognition Using Enhanced Fisher Linear Discriminant Model with Facial Combined Feature
Dake Zhou, Xin Yang 0007 |
PRICAI | 1 |