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Haiping Lu
Unifying Homophily and Heterophily Network Transformation via Motifs

Dec 27, 2020
Yan Ge, Jun Ma, Li Zhang, Haiping Lu

* 10 Pages 
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Hop-Hop Relation-aware Graph Neural Networks

Dec 21, 2020
Li Zhang, Yan Ge, Haiping Lu


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GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs

Oct 29, 2020
Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu


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Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge

Jun 05, 2020
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sebastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

* CNI-TLC was held in conjunction with MICCAI 2019 
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Tri-graph Information Propagation for Polypharmacy Side Effect Prediction

Jan 28, 2020
Hao Xu, Shengqi Sang, Haiping Lu

* Presented at NeruIPS 2019 Graph Representation Learning Workshop 
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Domain Independent SVM for Transfer Learning in Brain Decoding

Mar 26, 2019
Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu


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Mixed-Order Spectral Clustering for Networks

Dec 25, 2018
Yan Ge, Haiping Lu, Pan Peng

* 12 pages 
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Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

Dec 04, 2018
Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu

* 10 pages, 4 figures 
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Graph Node-Feature Convolution for Representation Learning

Nov 30, 2018
Li Zhang, Heda Song, Haiping Lu


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Semi-Orthogonal Multilinear PCA with Relaxed Start

May 07, 2015
Qiquan Shi, Haiping Lu

* 8 pages, 2 figures, to appear in Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) 
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