Lingxiao Zhao

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 51

Top Topics

Volume Rendering

Graph Representation

Outlier Detection

Top Venues

Publications

Siddhartha Chib, Lingxiao Zhao, Guofu Zhou
Winners from Winners: A Tale of Risk Factors. Manag. Sci. 70 (1) (2024)
Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman Akoglu
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion. CoRR (2024)
Bohang Zhang, Lingxiao Zhao, Haggai Maron
On the Expressive Power of Spectral Invariant Graph Neural Networks. CoRR (2024)
Lingxiao Zhao, Xueying Ding, Leman Akoglu
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation. CoRR (2024)
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. CoRR (2024)
Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
Descriptive Kernel Convolution Network with Improved Random Walk Kernel. CoRR (2024)
Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu
Descriptive Kernel Convolution Network with Improved Random Walk Kernel. WWW (2024)
Lingxiao Zhao, Zhiyang Li, Yue Ma, Leilei Qu
A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/Simulink. J. Supercomput. 79 (14) (2023)
Jinming Wang, Qigang Long, Yan Liang, Jie Song, Yadong Feng, Peng Li, Wei Sun, Lingxiao Zhao
AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary study. Medical Biol. Eng. Comput. 61 (7) (2023)
Derek Lim, Joshua David Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
Sign and Basis Invariant Networks for Spectral Graph Representation Learning. ICLR (2023)
Haojie Cheng, Chunxiao Xu, Xujing Chen, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao
Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality. CoRR (2023)
Lingxiao Zhao, Leman Akoglu
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. Big Data 11 (3) (2023)
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. CoRR (2023)
Jiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra
Heterophily and Graph Neural Networks: Past, Present and Future. IEEE Data Eng. Bull. 46 (2) (2023)
Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. CoRR (2023)
Haojie Cheng, Chunxiao Xu, Zhenxin Chen, Jiajun Wang, Yibo Chen, Lingxiao Zhao
A Mixed Reality Framework for Interactive Realistic Volume Rendering with Dynamic Environment Illumination. VRW (2023)
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection. CoRR (2023)
Haojie Cheng, Chunxiao Xu, Jiajun Wang, Zhenxin Chen, Lingxiao Zhao
Fast and Accurate Illumination Estimation Using LDR Panoramic Images for Realistic Rendering. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. ECML/PKDD (1) (2023)
Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. BigData (2023)
Lingxiao Zhao, Saurabh Sawlani, Leman Akoglu
Density of states for fast embedding node-attributed graphs. Knowl. Inf. Syst. 65 (6) (2023)
Lingxiao Zhao, Maria Polukarov, Carmine Ventre
Liquidity and Solvency Risks in Financial Networks. ICAIF (2023)
Haojie Cheng, Chunxiao Xu, Xujing Chen, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao
Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality. ISMAR-Adjunct (2023)
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. ICLR (2022)
Xueying Ding, Lingxiao Zhao, Leman Akoglu
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution. NeurIPS (2022)
Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan, Leman Akoglu
Graph Anomaly Detection with Unsupervised GNNs. CoRR (2022)
Xin Ma, Yajing Zhao, Yiping Lu, Peng Li, Xuanxuan Li, Nan Mei, Jiajun Wang, Daoying Geng, Lingxiao Zhao, Bo Yin
A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images. Comput. Biol. Medicine 151 (Part) (2022)
Xueying Ding, Lingxiao Zhao, Leman Akoglu
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution. CoRR (2022)
Lingxiao Zhao, Neil Shah, Leman Akoglu
A Practical, Progressively-Expressive GNN. NeurIPS (2022)
Haojie Cheng, Chunxiao Xu, Jiajun Wang, Lingxiao Zhao
Quad-fisheye Image Stitching for Monoscopic Panorama Reconstruction. Comput. Graph. Forum 41 (6) (2022)
Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu
A Practical, Progressively-Expressive GNN. CoRR (2022)
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Graph Condensation for Graph Neural Networks. ICLR (2022)
Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
Sign and Basis Invariant Networks for Spectral Graph Representation Learning. CoRR (2022)
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Graph Condensation for Graph Neural Networks. CoRR (2021)
Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
Fast Attributed Graph Embedding via Density of States. ICDM (2021)
Siheng Chen, Yonina C. Eldar, Lingxiao Zhao
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. IEEE Trans. Signal Process. 69 (2021)
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. CoRR (2021)
Saurabh Sawlani, Lingxiao Zhao, Leman Akoglu
Fast Attributed Graph Embedding via Density of States. CoRR (2021)
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs. NeurIPS (2020)
Lingxiao Zhao, Leman Akoglu
PairNorm: Tackling Oversmoothing in GNNs. ICLR (2020)
Lingxiao Zhao, Leman Akoglu
Connecting Graph Convolutional Networks and Graph-Regularized PCA. CoRR (2020)
Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra
Generalizing Graph Neural Networks Beyond Homophily. CoRR (2020)
Lingxiao Zhao, Leman Akoglu
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. CoRR (2020)
Siheng Chen, Yonina C. Eldar, Lingxiao Zhao
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising. CoRR (2020)
Xuan Wu, Lingxiao Zhao, Leman Akoglu
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. CoRR (2019)
Lei Wang, Yibo Chen, Zhenying Zhao, Lingxiao Zhao, Jin Li, Cuimin Li
A multi-modal health data fusion and analysis method based on body sensor network. Int. J. Serv. Technol. Manag. 25 (5/6) (2019)
Lingxiao Zhao, Leman Akoglu
PairNorm: Tackling Oversmoothing in GNNs. CoRR (2019)
Lingxiao Zhao, Shuangzhi Li, Jiankang Zhang, Xiaomin Mu
A Parafac-Based Blind Channel Estimation and Symbol Detection Scheme for Massive MIMO Systems. CyberC (2018)
Lei Wang, Wei Sun, Yibo Chen, Peng Li, Lingxiao Zhao
Wavelet Transform Based ECG Denoising Using Adaptive Thresholding. ICBBS (2018)
Xuan Wu, Lingxiao Zhao, Leman Akoglu
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification. CIKM (2018)
Lei Wang, Wei Sun, Yibo Chen, Peng Li, Lingxiao Zhao
Multimode Data Fusion Based Remote Healthcare Framework. BDET (2018)
Lingxiao Zhao, Zhenyue Zhang
Supervised locally linear embedding with probability-based distance for classification. Comput. Math. Appl. 57 (6) (2009)
Vincent Frans van Ravesteijn, Lingxiao Zhao, Charl P. Botha, Frits H. Post, Frans M. Vos, Lucas J. van Vliet
Combining Mesh, Volume, and Streamline Representations for Polyp Detection in CT Colonography. ISBI (2009)
Lingxiao Zhao, Vincent Frans van Ravesteijn, Charl P. Botha, Roel Truyen, Frans M. Vos, Frits H. Post
Surface Curvature Line Clustering for Polyp Detection in CT Colonography. VCBM (2008)
Zhenyue Zhang, Lingxiao Zhao
Probability-Based Locally Linear Embedding for Classification. FSKD (3) (2007)
Xiaozhe Hu, Lingxiao Zhao, Abdul Wasim Shaikh
The boundary penalty method for the diffusion equation subject to the specification of mass. Appl. Math. Comput. 186 (1) (2007)
Lingxiao Zhao, Charl P. Botha, Javier Bescos, Roel Truyen, Frans Vos, Frits H. Post
Lines of Curvature for Polyp Detection in Virtual Colonoscopy. IEEE Trans. Vis. Comput. Graph. 12 (5) (2006)