Lingxiao Zhao - researchr alias

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Viewing Publication 1 - 33 from 33

2023

A Mixed Reality Framework for Interactive Realistic Volume Rendering with Dynamic Environment IlluminationHaojie Cheng, Chunxiao Xu, Zhenxin Chen, Jiajun Wang, Yibo Chen, Lingxiao Zhao. vr 2023: 741-742 [doi]

Realistic Volume Rendering with Environment-Synced Illumination in Mixed RealityHaojie Cheng, Chunxiao Xu, Xujing Chen, Zhenxin Chen, Jiajun Wang, Lingxiao Zhao. ismar 2023: 423-428 [doi]

Fast and Accurate Illumination Estimation Using LDR Panoramic Images for Realistic RenderingHaojie Cheng, Chunxiao Xu, Jiajun Wang, Zhenxin Chen, Lingxiao Zhao. tvcg, 29(12):5235-5249, December 2023. [doi]

Sign and Basis Invariant Networks for Spectral Graph Representation LearningDerek Lim, Joshua David Robinson, Lingxiao Zhao, Tess E. Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka. iclr 2023: [doi]

ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network ApproachKonstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu. bigdataconf 2023: 865-874 [doi]

AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary studyJinming Wang, Qigang Long, Yan Liang, Jie Song, Yadong Feng, Peng Li, Wei Sun, Lingxiao Zhao. mbec, 61(7):1631-1648, 2023. [doi]

DSV: An Alignment Validation Loss for Self-supervised Outlier Model SelectionJaemin Yoo, Yue Zhao 0016, Lingxiao Zhao, Leman Akoglu. pkdd 2023: 254-269 [doi]

Density of states for fast embedding node-attributed graphsLingxiao Zhao, Saurabh Sawlani, Leman Akoglu. kais, 65(6):2455-2483, June 2023. [doi]

On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New InsightsLingxiao Zhao, Leman Akoglu. bigdata, 11(3):151-180, June 2023. [doi]

A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/SimulinkLingxiao Zhao, Zhiyang Li, Yue Ma, Leilei Qu. tjs, 79(14):15358-15389, September 2023. [doi]

Liquidity and Solvency Risks in Financial NetworksLingxiao Zhao, Maria Polukarov, Carmine Ventre. icaif 2023: 210-218 [doi]

Heterophily and Graph Neural Networks: Past, Present and FutureJiong Zhu, Yujun Yan, Mark Heimann, Lingxiao Zhao, Leman Akoglu, Danai Koutra. DEBU, 46(2):12-34, 2023. [doi]

2022

Quad-fisheye Image Stitching for Monoscopic Panorama ReconstructionHaojie Cheng, Chunxiao Xu, Jiajun Wang, Lingxiao Zhao. cgf, 41(6):94-109, 2022. [doi]

Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble SolutionXueying Ding, Lingxiao Zhao, Leman Akoglu. nips 2022: [doi]

Graph Condensation for Graph Neural NetworksWei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah. iclr 2022: [doi]

A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR imagesXin Ma, Yajing Zhao, Yiping Lu, Peng Li, XuanXuan Li, Nan Mei, Jiajun Wang, Daoying Geng, Lingxiao Zhao, Bo Yin. cbm, 151(Part):106279, 2022. [doi]

A Practical, Progressively-Expressive GNNLingxiao Zhao, Neil Shah, Leman Akoglu. nips 2022: [doi]

From Stars to Subgraphs: Uplifting Any GNN with Local Structure AwarenessLingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah. iclr 2022: [doi]

2021

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal DenoisingSiheng Chen, Yonina C. Eldar, Lingxiao Zhao. tsp, 69:3699-3713, 2021. [doi]

Fast Attributed Graph Embedding via Density of StatesSaurabh Sawlani, Lingxiao Zhao, Leman Akoglu. icdm 2021: 559-568 [doi]

2020

PairNorm: Tackling Oversmoothing in GNNsLingxiao Zhao, Leman Akoglu. iclr 2020: [doi]

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective DesignsJiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra. nips 2020: [doi]

2019

A multi-modal health data fusion and analysis method based on body sensor networkLei Wang, Yibo Chen, Zhenying Zhao, Lingxiao Zhao, Jin Li, Cuimin Li. ijstm, 25(5/6):474-491, 2019. [doi]

2018

2009

Combining Mesh, Volume, and Streamline Representations for Polyp Detection in CT ColonographyVincent Frans van Ravesteijn, Lingxiao Zhao, Charl P. Botha, Frits H. Post, Frans M. Vos, Lucas J. van Vliet. isbi 2009: 907-910 [doi]

Supervised locally linear embedding with probability-based distance for classificationLingxiao Zhao, Zhenyue Zhang. cma, 57(6):919-926, 2009. [doi]

2008

Surface Curvature Line Clustering for Polyp Detection in CT ColonographyLingxiao Zhao, Vincent Frans van Ravesteijn, Charl P. Botha, Roel Truyen, Frans M. Vos, Frits H. Post. vcbm 2008: 53-60 [doi]

2007

The boundary penalty method for the diffusion equation subject to the specification of massXiaozhe Hu, Lingxiao Zhao, Abdul Wasim Shaikh. amc, 186(1):735-748, 2007. [doi]

Topology-Based Flow Visualization, The State of the ArtRobert S. Laramee, Helwig Hauser, Lingxiao Zhao, Frits H. Post. In Helwig Hauser, Hans Hagen, Holger Theisel, editors, Topology-based Methods in Visualization. Mathematics and Visualization, pages 1-19, Springer, 2007. [doi]

Probability-Based Locally Linear Embedding for ClassificationZhenyue Zhang, Lingxiao Zhao. fskd 2007: 243-247 [doi]

2006

Lines of Curvature for Polyp Detection in Virtual ColonoscopyLingxiao Zhao, Charl P. Botha, Javier Bescos, Roel Truyen, Frans Vos, Frits H. Post. tvcg, 12(5):885-892, 2006. [doi]

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