Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYi Guo 0001
Person information
- affiliation: Western Sydney University, School of Computing, Engineering and Mathematics, Parramatta, NSW, Australia
- affiliation (2008 - 2016): CSIRO Mathematics, Informatics and Statistics, North Ryde, NSW, Australia
- affiliation (PhD 2008): University of New England, School of Mathematics, Statistics and Computer Science, Armidale, NSW, Australia
Other persons with the same name
- Yi Guo (aka: Guo Yi) — disambiguation page
- Yi Guo 0002
![[0000-0002-7142-2871]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7142-2871")
— Fudan University, Department of Electronic Engineering, Shanghai, China - Yi Guo 0003 — Kernel, Venice, CA, USA (and 2 more)
- Yi Guo 0004 — Stevens Institute of Technology, Hoboken, NJ, USA (and 3 more)
- Yi Guo 0005 — University of Florida, Health Outcomes & Biomedical Informatics, Gainesville, FL, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j26]Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao:
Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. 15(4): 1553-1573 (2024)- [c45]Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu:
SCAD: Subspace Clustering based Adversarial Detector. WSDM 2024: 286-294 - [c44]Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu:
COTER: Conditional Optimal Transport meets Table Retrieval. WSDM 2024: 911-919 - 2023
- [j25]Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen:
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235: 107520 (2023) - [j24]Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen:
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85: 102758 (2023) - [j23]Yi Guo, Stephen Tierney, Junbin Gao:
Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. 202: 108784 (2023) - [c43]Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang:
Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. IEEE Big Data 2023: 1299-1307 - [c42]Junping Liu, Mingkang Gong, Xinrong Hu, Jie Yang, Yi Guo:
MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations. DEXA (1) 2023: 392-407 - [c41]Xinrong Hu, Ce Xu, Junlong Ma, Zijian Huang, Jie Yang, Yi Guo, Johan Barthélemy:
[MASK] Insertion: a robust method for anti-adversarial attacks. EACL (Findings) 2023: 1028-1040 - [c40]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN 2023: 1-9 - [c39]Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu:
Towards Robust Token Embeddings for Extractive Question Answering. WISE 2023: 82-96 - [c38]Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo:
CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. WISE 2023: 763-777 - [i15]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR abs/2305.15639 (2023) - [i14]Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao:
Frameless Graph Knowledge Distillation. CoRR abs/2307.06631 (2023) - [i13]Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao:
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR abs/2307.09768 (2023) - [i12]Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao:
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR abs/2309.02769 (2023) - 2022
- [j22]Xue Yang, Liang Liang, Feng Li, Qingjiu Tian, Xiaotian Lu, Lei Xin, Yi Guo, Wenjun Dong:
Hyper-Temporal Data Based Modulation Transfer Functions Compensation for Geostationary Remote Sensing Satellites. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [c37]Junping Liu, Shijie Mei, Xinrong Hu, Xun Yao, Jie (Jack) Yang, Yi Guo:
Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering. NAACL-HLT (Findings) 2022: 1085-1094 - 2021
- [j21]Yi Guo, Stephen Tierney, Junbin Gao:
Efficient sparse subspace clustering by nearest neighbour filtering. Signal Process. 185: 108082 (2021) - [j20]Yi Guo, Stephen Tierney, Junbin Gao:
Robust Functional Manifold Clustering. IEEE Trans. Neural Networks Learn. Syst. 32(2): 777-787 (2021) - [c36]Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang:
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology 2021 - [c35]Liu Yang, Junjie Yang, Yi Guo:
Under-determined Blind Speech Separation via the Convolutive Transfer Function and lp Regularization. MSN 2021: 705-709 - [i11]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
A Discussion On the Validity of Manifold Learning. CoRR abs/2106.01608 (2021) - 2020
- [j19]Kingshuk Mazumdar, Dongmo Zhang, Yi Guo:
Portfolio selection and unsystematic risk optimisation using swarm intelligence. J. Bank. Financial Technol. 4(1): 1-14 (2020) - [c34]Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang:
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME 2020: 260-269 - [c33]Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang:
A Prediction Model of Microsatellite Status from Histology Images. ICBET 2020: 334-338 - [c32]Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang:
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP 2020: 2471-2475
2010 – 2019
- 2019
- [j18]Junjie Yang, Yi Guo, Zuyuan Yang, Liu Yang, Shengli Xie:
Estimating Number of Speakers via Density-Based Clustering and Classification Decision. IEEE Access 7: 176541-176551 (2019) - [j17]Yang Liu, Yi Guo, Feng Li, Lei Xin, Puming Huang:
Sparse Dictionary Learning for Blind Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 16(4): 578-582 (2019) - [j16]Junjie Yang, Yi Guo, Zuyuan Yang, Shengli Xie:
Under-Determined Convolutive Blind Source Separation Combining Density-Based Clustering and Sparse Reconstruction in Time-Frequency Domain. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3015-3027 (2019) - [j15]Ming Yin, Junbin Gao, Shengli Xie, Yi Guo:
Multiview Subspace Clustering via Tensorial t-Product Representation. IEEE Trans. Neural Networks Learn. Syst. 30(3): 851-864 (2019) - [c31]Kingshuk Mazumdar, Dongmo Zhang, Yi Guo:
Portfolio Risk Optimisation and Diversification Using Swarm Intelligence. PRICAI (3) 2019: 740-747 - [c30]Kingshuk Mazumdar, Dongmo Zhang, Yi Guo:
Multi-peak Algorithmic Trading Strategies Using Grey Wolf Optimizer. PRICAI (3) 2019: 748-754 - 2018
- [j14]Feng Li, Lei Xin, Yi Guo, Dongsheng Gao, Xianghao Kong, Xiuping Jia:
Super-Resolution for GaoFen-4 Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15(1): 28-32 (2018) - [j13]Mark Berman, Zhipeng Hao, Glenn Stone, Yi Guo:
An Investigation Into the Impact of Band Error Variance Estimation on Intrinsic Dimension Estimation in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(9): 3279-3296 (2018) - [c29]Yang Liu, Yi Guo, Feng Li, Lei Xin, Puming Huang:
A Fast Algorithm to Find All Paths for Hyperspectral Unmixing. IGARSS 2018: 4269-4272 - [c28]Feng Li, Lei Xin, Yi Guo, Xiuping Jia:
Multitemporal Mid-Infrared Imagery Based Calibration and Super Resolution for Gaofen-4. IGARSS 2018: 7038-7041 - 2017
- [j12]Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. 48(10): 2195-2201 (2017) - [j11]Feng Li, Lei Xin, Yi Guo, Junbin Gao, Xiuping Jia:
A Framework of Mixed Sparse Representations for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(2): 1210-1221 (2017) - [j10]Mark Berman, Leanne Bischof, Ryan Lagerstrom, Yi Guo, Jonathan F. Huntington, Peter Mason, Andrew A. Green:
A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra. IEEE Trans. Geosci. Remote. Sens. 55(6): 3588-3610 (2017) - [c27]Junjie Yang, Zuyuan Yang, Yi Guo, Shengli Xie:
Blind Source Separation: Detecting Unknown Sources Number In Covariance Domain. ICCAE 2017: 163-168 - [c26]Junbin Gao, Yi Guo, Zhiyong Wang:
Matrix Neural Networks. ISNN (1) 2017: 313-320 - [i10]Stephen Tierney, Yi Guo, Junbin Gao:
Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering. CoRR abs/1704.03958 (2017) - [i9]Stephen Tierney, Junbin Gao, Yi Guo, Zheng Zhang:
Tractable Clustering of Data on the Curve Manifold. CoRR abs/1704.03963 (2017) - [i8]Stephen Tierney, Yi Guo, Junbin Gao:
Collaborative Low-Rank Subspace Clustering. CoRR abs/1704.03966 (2017) - 2016
- [j9]Yongguang Zhai, Lifu Zhang, Nan Wang, Yi Guo, Yi Cen, Taixia Wu, Qingxi Tong:
A Modified Locality-Preserving Projection Approach for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(8): 1059-1063 (2016) - [j8]Zhipeng Hao, Mark Berman, Yi Guo, Glenn Stone, Iain M. Johnstone:
Semi-realistic Simulations of Natural Hyperspectral Scenes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4407-4419 (2016) - [c25]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR 2016: 5157-5164 - [c24]Feng Li, Tim J. Cornwell, Frank de Hoog, Lei Xin, Yi Guo:
Compressive sensing based multi-frequency synthesis. DSP 2016: 710-714 - [c23]Yi Guo, Feng Li, Peter Caccetta, Drew Devereux, Mark Berman:
Cloud filtering for Landsat TM satellite images using multiple temporal mosaicing. IGARSS 2016: 7240-7243 - [i7]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR abs/1601.00414 (2016) - [i6]Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang:
Low-Rank Representation over the Manifold of Curves. CoRR abs/1601.00732 (2016) - [i5]Junbin Gao, Yi Guo, Zhiyong Wang:
Matrix Neural Networks. CoRR abs/1601.03805 (2016) - [i4]Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang:
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. CoRR abs/1601.07336 (2016) - [i3]Ming Yin, Junbin Gao, Shengli Xie, Yi Guo:
Low-rank Multi-view Clustering in Third-Order Tensor Space. CoRR abs/1608.08336 (2016) - 2015
- [j7]Yi Guo, Junbin Gao, Feng Li:
Random spatial subspace clustering. Knowl. Based Syst. 74: 106-118 (2015) - [j6]Xuejian Sun, Lifu Zhang, Hang Yang, Taixia Wu, Yi Cen, Yi Guo:
Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 2198-2211 (2015) - [j5]Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo:
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. 24(12): 4918-4933 (2015) - [c22]Stephen Tierney, Yi Guo, Junbin Gao:
Selective Multi-Source Total Variation Image Restoration. DICTA 2015: 1-8 - [c21]Zhipeng Hao, Mark Berman, Yi Guo, Glenn Stone, Iain M. Johnstone:
Semi-realistic simulations of natural hyperspectral scenes. IGARSS 2015: 1004-1007 - [c20]Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin:
Low rank sequential subspace clustering. IJCNN 2015: 1-8 - [i2]Stephen Tierney, Yi Guo, Junbin Gao:
Segmentation of Subspaces in Sequential Data. CoRR abs/1504.04090 (2015) - [i1]Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm Penalized Orthogonal Forward Regression. CoRR abs/1509.01323 (2015) - 2014
- [j4]Yi Guo, Mark Berman, Junbin Gao:
Group subset selection for linear regression. Comput. Stat. Data Anal. 75: 39-52 (2014) - [c19]Stephen Tierney, Junbin Gao, Yi Guo:
Subspace Clustering for Sequential Data. CVPR 2014: 1019-1026 - [c18]Stephen Tierney, Junbin Gao, Yi Guo:
The W-Penalty and Its Application to Alpha Matting with Sparse Labels. DICTA 2014: 1-7 - [c17]Stephen Tierney, Junbin Gao, Yi Guo:
Affinity Pansharpening and Image Fusion. DICTA 2014: 1-8 - [c16]Xiao Tan, Changming Sun, Dadong Wang, Yi Guo, Tuan D. Pham:
Soft Cost Aggregation with Multi-resolution Fusion. ECCV (5) 2014: 17-32 - [c15]Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris:
Dimensionality reduction assisted tensor clustering. IJCNN 2014: 1565-1572 - [c14]Ming Yin, Yi Guo, Junbin Gao:
Linear Subspace Learning via sparse dimension reduction. IJCNN 2014: 3540-3547 - 2013
- [c13]Yi Guo, Junbin Gao, Yanfeng Sun:
Endmember Extraction by Exemplar Finder. ADMA (2) 2013: 501-512 - [c12]Xia Hong, Yi Guo, Sheng Chen, Junbin Gao:
Sparse model construction using coordinate descent optimization. DSP 2013: 1-6 - [c11]Junbin Gao, Yi Guo, Ming Yin:
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. ICIP 2013: 499-503 - [c10]Yi Guo, Junbin Gao, Feng Li:
Large scale hyperspectral data segmentation by random spatial subspace clustering. IGARSS 2013: 3487-3490 - [c9]Yi Guo, Junbin Gao, Feng Li:
Dimensionality Reduction with Dimension Selection. PAKDD (1) 2013: 508-519 - 2012
- [c8]Yi Guo, Junbin Gao, Xia Hong:
Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence 2012: 433-444 - 2011
- [c7]Yi Guo, Junbin Gao:
Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) 2011: 544-554 - 2010
- [j3]Paul Wing Hing Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama:
A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. 24(1): 15-38 (2010)
2000 – 2009
- 2009
- [j2]Junbin Gao, Paul Wing Hing Kwan, Yi Guo:
Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing 72(4-6): 1242-1249 (2009) - [c6]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. Australasian Conference on Artificial Intelligence 2009: 240-249 - 2008
- [j1]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1490-1495 (2008) - 2007
- [c5]Yi Guo, Paul Wing Hing Kwan, Junbin Gao:
Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. ADMA 2007: 227-238 - [c4]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. Australian Conference on Artificial Intelligence 2007: 659-663 - [c3]Yi Guo, Paul Wing Hing Kwan, Junbin Gao:
Twin Kernel Embedding with Back Constraints. ICDM Workshops 2007: 319-324 - 2006
- [c2]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. Australian Conference on Artificial Intelligence 2006: 1179-1183 - [c1]Yi Guo, Junbin Gao:
Manifolds of Bag of Pixels: A Better Representation for Image Recognition. SMC 2006: 3618-3622
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-29 02:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
