Yi Guo - RankMe

121 papers A* 5A 3B 14C 7Misc 6Journal 57Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CMAC-Net: Cascade Multi-Scale Attention Convolution Network for diabetic retinopathy lesion segmentation. Biomed. Signal Process. Control. Haowei Chen, Ming Yin, Yi Guo, Toufique Ahmed Soomro
2026	A*	`conf`	MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation. AAAI Junping Liu, Mingchao Yu, Xinrong Hu, Rui Yan, Wanqing Li, Jie Yang, Yi Guo
2025	J	`jnl`	Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development. CoRR Namal Jayasuriya, Yi Guo, Wen Hu, Oula Ghannoum
2025	J	`jnl`	Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. Int. J. Mach. Learn. Cybern. Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
2025	J	`jnl`	Enhanced Subspace Clustering With Limited Prior Knowledge Using Tensor Low-Rank Representation. IEEE Access Junjie Yang, Wei Yan, Yi Guo, Senquan Yang
2025	B	`conf`	Every Lie Has a Grain of Truth: Disentangling Deception from Authentic Content for Fake News Detection. IEEE Big Data Junping Liu, Zhenhao Hu, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Yi Guo
2025	J	`jnl`	Flexible disentangled representation learning with soft-splitting for multi-view data. Image Vis. Comput. Xunzhan Yao, Ming Yin, Yonghua Wang, Yi Guo
2025	J	`jnl`	Frameless Graph Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. Dai Shi, Zhiqi Shao, Junbin Gao, Zhiyong Wang, Yi Guo
2025	B	`conf`	Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability. IEEE Big Data Junping Liu, Xiaolong Li, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Wenbin Zhang, Yi Guo
2025	Misc	`conf`	Importance-Awareness Masking Network for Robust Document Retrieval. ICASSP Junping Liu, Jiaqi He, Xinrong Hu, Wangli Yang, Jie Yang, Yi Guo
2025	J	`jnl`	Learnable color space conversion and fusion for stain normalization in pathology images. Medical Image Anal. Jing Ke, Yijin Zhou, Yiqing Shen, Yi Guo, Ning Liu, Xiaodan Han, Dinggang Shen
2025	A*	`conf`	Negative-Free Graph Contrastive Learning for Recommendation. ICDM Junping Liu, Mingchao Yu, Xinrong Hu, Jie Yang, Yi Guo, Wanqing Li, Wenbin Zhang
2025	—	`conf`	TAG: Temporal Attention Graph for Heterogeneous Traffic Trajectory Prediction. MIWAI (3) Vishal A. Patel, Yi Guo, Laurence Park, Oliver Obst
2025	A*	`conf`	When Graph Neural Networks Meet Dynamic Mode Decomposition. ICLR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2024	A	`conf`	COTER: Conditional Optimal Transport meets Table Retrieval. WSDM Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu
2024	—	`conf`	ConClue: Conditional Clue Extraction for Multiple Choice Question Answering. ICDAR (6) Wangli Yang, Jie Yang, Wanqing Li, Yi Guo
2024	—	`conf`	Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering. AI (1) Wangli Yang, Jie Yang, Wanqing Li, Yi Guo
2024	J	`jnl`	Defensive Dual Masking for Robust Adversarial Defense. CoRR Wangli Yang, Jie Yang, Yi Guo, Johan Barthélemy
2024	J	`jnl`	Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
2024	J	`jnl`	Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao
2024	J	`jnl`	Image based Crop Monitoring Technologies in Protected Horticulture: A Review. CoRR Namal Jayasuriya, Yi Guo, Wen Hu, Oula Ghannoum
2024	J	`jnl`	Machine vision based plant height estimation for protected crop facilities. Comput. Electron. Agric. Namal Jayasuriya, Yi Guo, Wen Hu, Oula Ghannoum
2024	A	`conf`	Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation. UAI Xun Yao, Zijian Huang, Xinrong Hu, Jie Yang, Yi Guo
2024	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2024	A	`conf`	SCAD: Subspace Clustering based Adversarial Detector. WSDM Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu
2024	—	`conf`	Selective Frame Analysis for Efficient Object Tracking: Balancing Speed with Accuracy in MOT Systems. MIWAI (1) Yubraj Jung Shah, Yi Guo, Laurence A. F. Park, Oliver Obst
2024	J	`jnl`	Smart Nutrition Monitoring System Using Serverless Edge Computing. IEEE Trans. Consumer Electron. Bahman Javadi, Arman Khan, Namal Jayasuriya, Yi Guo
2024	J	`jnl`	When Graph Neural Networks Meet Dynamic Mode Decomposition. CoRR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2023	C	`conf`	A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao
2023	B	`conf`	CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. WISE Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo
2023	J	`jnl`	ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 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
2023	J	`jnl`	Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. Yi Guo, Stephen Tierney, Junbin Gao
2023	J	`jnl`	Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao
2023	B	`conf`	Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN Dai Shi, Andi Han, Yi Guo, Junbin Gao
2023	J	`jnl`	Frameless Graph Knowledge Distillation. CoRR Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao
2023	J	`jnl`	How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
2023	B	`conf`	Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. IEEE Big Data Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang
2023	—	`conf`	MIRS: [MASK] Insertion Based Retrieval Stabilizer for Query Variations. DEXA (1) Junping Liu, Mingkang Gong, Xinrong Hu, Jie Yang, Yi Guo
2023	J	`jnl`	Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen
2023	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2023	B	`conf`	Towards Robust Token Embeddings for Extractive Question Answering. WISE Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu
2023	J	`jnl`	Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
2023	—	`conf`	[MASK] Insertion: a robust method for anti-adversarial attacks. EACL (Findings) Xinrong Hu, Ce Xu, Junlong Ma, Zijian Huang, Jie Yang, Yi Guo, Johan Barthélemy
2022	—	`conf`	CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation. Digital and Computational Pathology Junwei Deng, Yiqing Shen, Yi Guo, Jing Ke
2022	J	`jnl`	Cloud removal Using Atmosphere Model. CoRR Yi Guo, Feng Li, Zhuo Wang
2022	J	`jnl`	Hyper-Temporal Data Based Modulation Transfer Functions Compensation for Geostationary Remote Sensing Satellites. IEEE Trans. Geosci. Remote. Sens. Xue Yang, Liang Liang, Feng Li, Qingjiu Tian, Xiaotian Lu, Lei Xin, Yi Guo, Wenjun Dong
2022	—	`conf`	Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering. NAACL-HLT (Findings) Junping Liu, Shijie Mei, Xinrong Hu, Xun Yao, Jie (Jack) Yang, Yi Guo
2021	J	`jnl`	A Discussion On the Validity of Manifold Learning. CoRR Dai Shi, Andi Han, Yi Guo, Junbin Gao
2021	J	`jnl`	Efficient sparse subspace clustering by nearest neighbour filtering. Signal Process. Yi Guo, Stephen Tierney, Junbin Gao
2021	—	`conf`	Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Digital Pathology Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
2021	J	`jnl`	Robust Functional Manifold Clustering. IEEE Trans. Neural Networks Learn. Syst. Yi Guo, Stephen Tierney, Junbin Gao
2021	—	`conf`	Under-determined Blind Speech Separation via the Convolutive Transfer Function and lp Regularization. MSN Liu Yang, Junjie Yang, Yi Guo
2020	B	`conf`	A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
2020	—	`conf`	A Prediction Model of Microsatellite Status from Histology Images. ICBET Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
2020	B	`conf`	Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
2020	J	`jnl`	Portfolio selection and unsystematic risk optimisation using swarm intelligence. J. Bank. Financial Technol. Kingshuk Mazumdar, Dongmo Zhang, Yi Guo
2019	—	`ch.`	Artificial Intelligence and Machine Learning in Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (1) Kaitao Lai, Natalie Twine, Aidan O'Brien, Yi Guo, Denis C. Bauer
2019	—	`conf`	Assessing the Multi-labelness of Multi-label Data. ECML/PKDD (2) Laurence A. F. Park, Yi Guo, Jesse Read
2019	J	`jnl`	Estimating Number of Speakers via Density-Based Clustering and Classification Decision. IEEE Access Junjie Yang, Yi Guo, Zuyuan Yang, Liu Yang, Shengli Xie
2019	—	`conf`	Multi-peak Algorithmic Trading Strategies Using Grey Wolf Optimizer. PRICAI (3) Kingshuk Mazumdar, Dongmo Zhang, Yi Guo
2019	J	`jnl`	Multiview Subspace Clustering via Tensorial t-Product Representation. IEEE Trans. Neural Networks Learn. Syst. Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
2019	—	`conf`	Portfolio Risk Optimisation and Diversification Using Swarm Intelligence. PRICAI (3) Kingshuk Mazumdar, Dongmo Zhang, Yi Guo
2019	J	`jnl`	Sparse Dictionary Learning for Blind Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Yang Liu, Yi Guo, Feng Li, Lei Xin, Puming Huang
2019	J	`jnl`	Under-Determined Convolutive Blind Source Separation Combining Density-Based Clustering and Sparse Reconstruction in Time-Frequency Domain. IEEE Trans. Circuits Syst. I Regul. Pap. Junjie Yang, Yi Guo, Zuyuan Yang, Shengli Xie
2018	C	`conf`	A Fast Algorithm to Find All Paths for Hyperspectral Unmixing. IGARSS Yang Liu, Yi Guo, Feng Li, Lei Xin, Puming Huang
2018	J	`jnl`	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. Mark Berman, Zhipeng Hao, Glenn Stone, Yi Guo
2018	Misc	`conf`	Left Ventricle Volume Measuring using Echocardiography Sequences. DICTA Yi Guo, Simon Green, Laurence Park, Lauren Rispen
2018	C	`conf`	Multitemporal Mid-Infrared Imagery Based Calibration and Super Resolution for Gaofen-4. IGARSS Feng Li, Lei Xin, Yi Guo, Xiuping Jia
2018	J	`jnl`	Super-Resolution for GaoFen-4 Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Feng Li, Lei Xin, Yi Guo, Dongsheng Gao, Xianghao Kong, Xiuping Jia
2017	J	`jnl`	A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra. IEEE Trans. Geosci. Remote. Sens. Mark Berman, Leanne Bischof, Ryan Lagerstrom, Yi Guo, Jonathan F. Huntington, Peter Mason, Andrew A. Green
2017	—	`conf`	A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation. CVPR Workshops Jing Ke, Yi Guo, Arcot Sowmya
2017	J	`jnl`	A Framework of Mixed Sparse Representations for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Feng Li, Lei Xin, Yi Guo, Junbin Gao, Xiuping Jia
2017	B	`conf`	A performance acceleration algorithm of spectral unmixing via subset selection. ESANN Jing Ke, Yi Guo, Arcot Sowmya, Tomasz Bednarz
2017	—	`conf`	Blind Source Separation: Detecting Unknown Sources Number In Covariance Domain. ICCAE Junjie Yang, Zuyuan Yang, Yi Guo, Shengli Xie
2017	J	`jnl`	Collaborative Low-Rank Subspace Clustering. CoRR Stephen Tierney, Yi Guo, Junbin Gao
2017	J	`jnl`	Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering. CoRR Stephen Tierney, Yi Guo, Junbin Gao
2017	—	`conf`	Matrix Neural Networks. ISNN (1) Junbin Gao, Yi Guo, Zhiyong Wang
2017	J	`jnl`	Tractable Clustering of Data on the Curve Manifold. CoRR Stephen Tierney, Junbin Gao, Yi Guo, Zheng Zhang
2017	J	`jnl`	l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
2016	J	`jnl`	A Modified Locality-Preserving Projection Approach for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Yongguang Zhai, Lifu Zhang, Nan Wang, Yi Guo, Yi Cen, Taixia Wu, Qingxi Tong
2016	C	`conf`	Cloud filtering for Landsat TM satellite images using multiple temporal mosaicing. IGARSS Yi Guo, Feng Li, Peter Caccetta, Drew Devereux, Mark Berman
2016	—	`conf`	Compressive sensing based multi-frequency synthesis. DSP Feng Li, Tim J. Cornwell, Frank de Hoog, Lei Xin, Yi Guo
2016	Misc	`conf`	Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed Image Processing. DICTA Jing Ke, Arcot Sowmya, Yi Guo, Tomasz Bednarz, Michael Buckley
2016	A*	`conf`	Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016	J	`jnl`	Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016	J	`jnl`	Low-Rank Representation over the Manifold of Curves. CoRR Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang
2016	J	`jnl`	Low-rank Multi-view Clustering in Third-Order Tensor Space. CoRR Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
2016	J	`jnl`	Matrix Neural Networks. CoRR Junbin Gao, Yi Guo, Zhiyong Wang
2016	J	`jnl`	Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. CoRR Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang
2016	J	`jnl`	Semi-realistic Simulations of Natural Hyperspectral Scenes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhipeng Hao, Mark Berman, Yi Guo, Glenn Stone, Iain M. Johnstone
2015	J	`jnl`	Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo
2015	J	`jnl`	Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xuejian Sun, Lifu Zhang, Hang Yang, Taixia Wu, Yi Cen, Yi Guo
2015	B	`conf`	Low rank sequential subspace clustering. IJCNN Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin
2015	J	`jnl`	Random spatial subspace clustering. Knowl. Based Syst. Yi Guo, Junbin Gao, Feng Li
2015	J	`jnl`	Segmentation of Subspaces in Sequential Data. CoRR Stephen Tierney, Yi Guo, Junbin Gao
2015	Misc	`conf`	Selective Multi-Source Total Variation Image Restoration. DICTA Stephen Tierney, Yi Guo, Junbin Gao
2015	C	`conf`	Semi-realistic simulations of natural hyperspectral scenes. IGARSS Zhipeng Hao, Mark Berman, Yi Guo, Glenn Stone, Iain M. Johnstone
2015	J	`jnl`	l1-norm Penalized Orthogonal Forward Regression. CoRR Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
2014	Misc	`conf`	Affinity Pansharpening and Image Fusion. DICTA Stephen Tierney, Junbin Gao, Yi Guo
2014	B	`conf`	Dimensionality reduction assisted tensor clustering. IJCNN Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
2014	J	`jnl`	Group subset selection for linear regression. Comput. Stat. Data Anal. Yi Guo, Mark Berman, Junbin Gao
2014	B	`conf`	Linear Subspace Learning via sparse dimension reduction. IJCNN Ming Yin, Yi Guo, Junbin Gao
2014	—	`conf`	Soft Cost Aggregation with Multi-resolution Fusion. ECCV (5) Xiao Tan, Changming Sun, Dadong Wang, Yi Guo, Tuan D. Pham
2014	A*	`conf`	Subspace Clustering for Sequential Data. CVPR Stephen Tierney, Junbin Gao, Yi Guo
2014	Misc	`conf`	The W-Penalty and Its Application to Alpha Matting with Sparse Labels. DICTA Stephen Tierney, Junbin Gao, Yi Guo
2013	—	`conf`	Dimensionality Reduction with Dimension Selection. PAKDD (1) Yi Guo, Junbin Gao, Feng Li
2013	—	`conf`	Endmember Extraction by Exemplar Finder. ADMA (2) Yi Guo, Junbin Gao, Yanfeng Sun
2013	C	`conf`	Large scale hyperspectral data segmentation by random spatial subspace clustering. IGARSS Yi Guo, Junbin Gao, Feng Li
2013	B	`conf`	Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. ICIP Junbin Gao, Yi Guo, Ming Yin
2013	—	`conf`	Sparse model construction using coordinate descent optimization. DSP Xia Hong, Yi Guo, Sheng Chen, Junbin Gao
2012	—	`conf`	Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Xia Hong
2011	—	`conf`	Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) Yi Guo, Junbin Gao
2010	J	`jnl`	A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. Paul Wing Hing Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama
2009	—	`conf`	Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. Australasian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2009	J	`jnl`	Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing Junbin Gao, Paul Wing Hing Kwan, Yi Guo
2008	J	`jnl`	Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2007	C	`conf`	Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. ADMA Yi Guo, Paul Wing Hing Kwan, Junbin Gao
2007	—	`conf`	Twin Kernel Embedding with Back Constraints. ICDM Workshops Yi Guo, Paul Wing Hing Kwan, Junbin Gao
2007	—	`conf`	Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. Australian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2006	—	`conf`	Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. Australian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2006	B	`conf`	Manifolds of Bag of Pixels: A Better Representation for Image Recognition. SMC Yi Guo, Junbin Gao