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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://dblp.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, Department of Health Outcomes & Biomedical Informatics, Gainesville, FL, USA (and 1 more)
- Yi Guo 0006 — ETH Zürich, Department of Information Technology and Electrical Engineering, Power Systems Laboratory, Zurich, Switzerland (and 1 more)
- Yi Guo 0007 — Jinan University, Second Clinical Medical College, Department of Neurology, Shenzhen, China (and 2 more)
- Yi Guo 0008 — Shanghai Jiao Tong University, Department of Automation, Shanghai, China (and 1 more)
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Journal Articles
- 2024
[j27]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)- [j26]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2014
- [j4]Yi Guo, Mark Berman, Junbin Gao:
Group subset selection for linear regression. Comput. Stat. Data Anal. 75: 39-52 (2014) - 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) - 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) - 2008
- [j1]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1490-1495 (2008)
Conference and Workshop Papers
- 2024
- [c46]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 - [c45]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
- [c44]Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao:
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML 2023: 1199-1214 - [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 - 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
- [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 - 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 - 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
- [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
- [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 - 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 - 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 - 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 - 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 - 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
Informal and Other Publications
- 2024
- [i17]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao:
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR abs/2401.14580 (2024) - 2023
- [i16]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) - [i15]Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao:
Frameless Graph Knowledge Distillation. CoRR abs/2307.06631 (2023) - [i14]Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao:
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR abs/2307.09768 (2023) - [i13]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) - [i12]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao:
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR abs/2311.07073 (2023) - 2021
- [i11]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
A Discussion On the Validity of Manifold Learning. CoRR abs/2106.01608 (2021) - 2017
- [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
- [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
- [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)
Coauthor Index
[j27] [j26] [j23] [j21] [j20] [j15] [j12] [j11] [j7] [j5] [j4] [j3] [j2] [j1] [c44] [c40] [c26] [c25] [c22] [c20] [c19] [c18] [c17] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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