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ORCIDRui Zhu 0006
Person information
- affiliation: University of Kent, School of Mathematics, Statistics, and Actuarial Science, Canterbury, UK
- affiliation (PhD 2017): University College London, UK
Other persons with the same name
- Rui Zhu — disambiguation page
- Rui Zhu 0001 — Beijing Institute of Technology, School of Chemical Engineering and Materials Science, China
- Rui Zhu 0002 — Tsinghua University, Department of Electronic Engineering / RIIT, Beijing, China (and 1 more)
- Rui Zhu 0003
![[0000-0002-7033-8643]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7033-8643")
— Shenyang Aerospace University, College of Computer Science, Liaoning, China (and 1 more) - Rui Zhu 0004 — Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- Rui Zhu 0005 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, China
- Rui Zhu 0007 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Rui Zhu 0008 — University of California Santa Barbara, CA, USA
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2020 – today
- 2025
[j24]Xiaoke Wang, Rui Zhu, Jing-Hao Xue:
GKF-PUAL: A group kernel-free approach to positive-unlabeled learning with variable selection. Inf. Sci. 690: 121574 (2025)- 2024
- [j23]Zhenyu Xu, Hailin Xu, Zhouyang Lu, Yingying Zhao, Rui Zhu, Yujiang Wang, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Can Large Language Models Be Good Companions?: An LLM-Based Eyewear System with Conversational Common Ground. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 87:1-87:41 (2024) - [j22]Xiaoxu Li, Zijie Guo, Rui Zhu, Zhanyu Ma, Jun Guo, Jing-Hao Xue:
A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognit. 156: 110736 (2024) - [j21]Yuan Shi, Huiyun Cao, Bin Xia, Rui Zhu, Qingmin Liao, Wenming Yang:
DSR-Diff: Depth map super-resolution with diffusion model. Pattern Recognit. Lett. 184: 225-231 (2024) - [c6]Qiqi Bao, Zheng Hui, Rui Zhu, Peiran Ren, Xuansong Xie, Wenming Yang:
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction. AAAI 2024: 756-764 - 2023
- [j20]Xiaoxu Li, Yalan Li, Yixiao Zheng, Rui Zhu, Zhanyu Ma, Jing-Hao Xue, Jie Cao:
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification. Neurocomputing 520: 356-364 (2023) - [j19]Xiangyao Qi, Qi Lu, Wentao Pan, Yingying Zhao, Rui Zhu, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 115:1-115:31 (2023) - [j18]Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue:
Statistical hypothesis testing as a novel perspective of pooling for image quality assessment. Signal Process. Image Commun. 114: 116942 (2023) - [j17]Xiaoxu Li, Qi Song, Jijie Wu, Rui Zhu, Zhanyu Ma, Jing-Hao Xue:
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7530-7540 (2023) - [i3]Yuan Shi, Bin Xia, Rui Zhu, Qingmin Liao, Wenming Yang:
DSR-Diff: Depth Map Super-Resolution with Diffusion Model. CoRR abs/2311.09919 (2023) - [i2]Zhenyu Xu, Hailin Xu, Zhouyang Lu, Yingying Zhao, Rui Zhu, Yujiang Wang, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang:
Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground. CoRR abs/2311.18251 (2023) - 2022
- [j16]Zirui Wang, Yunmeng Liu, Rui Zhu, Wenming Yang, Qingmin Liao:
Lightweight Single Image Super-Resolution With Similar Feature Fusion Block. IEEE Access 10: 30974-30981 (2022) - [j15]Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui:
Constrained mutual convex cone method for image set based recognition. Pattern Recognit. 121: 108190 (2022) - [c5]Yue Lv, Wenming Yang, Wangmeng Zuo, Qingmin Liao, Rui Zhu:
Sain: Similarity-Aware Video Frame Interpolation. ICASSP 2022: 1920-1924 - [c4]Jingyu Guo, Qiqi Bao, Rui Zhu, Wenming Yang, Qingmin Liao:
Quality-Oriented Feature Regression for Robust Image Similarity Metric. ICME 2022: 1-6 - [c3]Qiqi Bao, Rui Zhu, Bowen Gang, Pengyang Zhao, Wenming Yang, Qingmin Liao:
Distilling Resolution-robust Identity Knowledge for Texture-Enhanced Face Hallucination. ACM Multimedia 2022: 6727-6736 - 2021
- [j14]Xiaoou Lu, Yangqi Qiao, Rui Zhu, Guijin Wang, Zhanyu Ma, Jing-Hao Xue:
Generalisations of stochastic supervision models. Pattern Recognit. 109: 107575 (2021) - 2020
- [j13]Wenming Yang, Fei Zhou, Rui Zhu, Kazuhiro Fukui, Guijin Wang, Jing-Hao Xue:
Deep learning for image super-resolution. Neurocomputing 398: 291-292 (2020) - [j12]Rui Zhu, Yiwen Guo, Jing-Hao Xue:
Adjusting the imbalance ratio by the dimensionality of imbalanced data. Pattern Recognit. Lett. 133: 217-223 (2020) - [j11]Fei Zhou, Wenming Yang, Xinbo Gao, Hantao Liu, Rui Zhu, Jing-Hao Xue:
Special Issue on Advances in Statistical Methods-based Visual Quality Assessment. Signal Process. Image Commun. 83: 115695 (2020) - [j10]Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui, Jing-Hao Xue:
A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3866-3876 (2020) - [c2]Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue:
Generalization Bound of Gradient Descent for Non-Convex Metric Learning. NeurIPS 2020
2010 – 2019
- 2019
- [j9]Rui Zhu, Mingzhi Dong, Jing-Hao Xue:
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. Inf. Sci. 481: 69-80 (2019) - [i1]Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui:
Constrained Mutual Convex Cone Method for Image Set Based Recognition. CoRR abs/1903.06549 (2019) - 2018
- [j8]Rui Zhu, Fei Zhou, Jing-Hao Xue:
MvSSIM: A quality assessment index for hyperspectral images. Neurocomputing 272: 250-257 (2018) - [j7]Rui Zhu, Ziyu Wang, Zhanyu Ma, Guijin Wang, Jing-Hao Xue:
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test. Pattern Recognit. Lett. 116: 36-42 (2018) - [j6]Ziyu Wang, Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue:
Cone-based joint sparse modelling for hyperspectral image classification. Signal Process. 144: 417-429 (2018) - [j5]Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue:
On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks]. IEEE Signal Process. Mag. 35(4): 133-136 (2018) - [c1]Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang:
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition. ECCV Workshops (6) 2018: 273-286 - 2017
- [j4]Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue:
Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data. Inf. Sci. 382-383: 1-14 (2017) - [j3]Rui Zhu, Jing-Hao Xue:
On the orthogonal distance to class subspaces for high-dimensional data classification. Inf. Sci. 417: 262-273 (2017) - [j2]Ziyu Wang, Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue:
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection. IEEE Trans. Image Process. 26(11): 5447-5461 (2017) - 2015
- [j1]Rui Zhu, Mingzhi Dong, Jing-Hao Xue:
Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3062-3067 (2015)
Coauthor Index
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