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Jieping Ye, Ph.D. - Publications

Affiliations: 
Arizona State University, Tempe, AZ, United States 
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Year Citation  Score
2020 Yang H, Qin X, Ke J, Ye J. Optimizing matching time interval and matching radius in on-demand ride-sourcing markets Transportation Research Part B-Methodological. 131: 84-105. DOI: 10.1016/J.Trb.2019.11.005  0.31
2019 Makkie M, Li X, Quinn S, Lin B, Ye J, Mon G, Liu T. A Distributed Computing Platform for fMRI Big Data Analytics. Ieee Transactions On Big Data. 5: 109-119. PMID 31240237 DOI: 10.1109/Tbdata.2018.2811508  0.389
2019 Han R, Liu CH, Li S, Chen LY, Wang G, Tang J, Ye J. SlimML: Removing Non- critical Input Data in Large-scale Iterative Machine Learning Ieee Transactions On Knowledge and Data Engineering. 1-1. DOI: 10.1109/Tkde.2019.2951388  0.368
2019 Li Y, Wang L, Zhou J, Ye J. Multi-Task Learning based Survival Analysis for Multi-Source Block-wise Missing Data Neurocomputing. 364: 95-107. DOI: 10.1016/J.Neucom.2019.07.010  0.392
2018 Liu K, Ye J, Yang Y, Shen L, Jiang H. A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq data. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 29993952 DOI: 10.1109/Tcbb.2018.2790918  0.34
2018 Zhang W, Lv J, Li X, Zhu D, Jiang X, Zhang S, Zhao Y, Guo L, Ye J, Hu D, Liu T. Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference from fMRI Data. Ieee Transactions On Bio-Medical Engineering. PMID 29993466 DOI: 10.1109/Tbme.2018.2831186  0.33
2018 Zhang W, Luo T, Qiu S, Ye J, Cai D, He X, Wang J. Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks Ieee Transactions On Knowledge and Data Engineering. 30: 2145-2156. DOI: 10.1109/Tkde.2018.2816029  0.363
2018 Lin L, Li J, Chen F, Ye J, Huai J. Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data Ieee Transactions On Knowledge and Data Engineering. 30: 1310-1323. DOI: 10.1109/Tkde.2017.2718525  0.315
2017 Ren S, Huang S, Ye J, Qian X. Safe Feature Screening for Generalized LASSO. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 29990186 DOI: 10.1109/Tpami.2017.2776267  0.352
2017 Zhang J, Li Q, Caselli RJ, Thompson PM, Ye J, Wang Y. Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline. Information Processing in Medical Imaging : Proceedings of the ... Conference. 10265: 184-197. PMID 28943731 DOI: 10.1007/978-3-319-59050-9_15  0.323
2017 Kumar S, Konikoff C, Sanderford M, Liu L, Newfeld S, Ye J, Kulathinal RJ. FlyExpress 7: An Integrated Discovery Platform To Study Co-expressed Genes Using In Situ Hybridization Images in Drosophila. G3 (Bethesda, Md.). PMID 28667017 DOI: 10.1534/G3.117.040345  0.319
2017 Lv J, Lin B, Li Q, Zhang W, Zhao Y, Jiang X, Guo L, Han J, Hu X, Guo C, Ye J, Liu T. Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Analysis. 38: 1-16. PMID 28242473 DOI: 10.1016/J.Media.2016.12.003  0.348
2017 Liu L, Chang Y, Yang T, Noren DP, Long B, Kornblau S, Qutub A, Ye J. Evolution-informed modeling improves outcome prediction for cancers. Evolutionary Applications. 10: 68-76. PMID 28035236 DOI: 10.1111/Eva.12417  0.306
2017 Zhao L, Sun Q, Ye J, Chen F, Lu C, Ramakrishnan N. Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting Ieee Transactions On Knowledge and Data Engineering. 29: 1059-1072. DOI: 10.1109/Tkde.2017.2657624  0.385
2017 Luo T, Yang Y, Yi D, Ye J. Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model Applied Intelligence. 1-14. DOI: 10.1007/S10489-017-1060-7  0.47
2016 Liu Y, Wang J, Ye J. An Efficient Algorithm For Weak Hierarchical Lasso Acm Transactions On Knowledge Discovery From Data. 10: 32. DOI: 10.1145/2791295  0.448
2016 Yang P, Yang H, Fu H, Zhou D, Ye J, Lappas T, He J. Jointly modeling label and feature heterogeneity in medical informatics Acm Transactions On Knowledge Discovery From Data. 10. DOI: 10.1145/2768831  0.421
2016 Zhu D, Lin B, Faskowitz J, Ye J, Thompson PM. Embedded sparse representation of fMRI data via group-wise dictionary optimization Proceedings of Spie. 9784. DOI: 10.1117/12.2217144  0.392
2016 Haddad BM, Yang S, Karam LJ, Ye J, Patel NS, Braun MW. Multifeature, sparse-based approach for defects detection and classification in semiconductor units Ieee Transactions On Automation Science and Engineering. DOI: 10.1109/Tase.2016.2594288  0.323
2015 Chakraborty S, Balasubramanian V, Sun Q, Panchanathan S, Ye J. Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1945-58. PMID 26353181 DOI: 10.1109/TPAMI.2015.2389848  0.317
2015 Zhan L, Zhou J, Wang Y, Jin Y, Jahanshad N, Prasad G, Nir TM, Leonardo CD, Ye J, Thompson PM, For The Alzheimer's Disease Neuroimaging Initiative. Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer's disease. Frontiers in Aging Neuroscience. 7: 48. PMID 25926791 DOI: 10.3389/Fnagi.2015.00048  0.335
2015 Chung M, Hanson J, Ye J, Davidson R, Pollak S. Persistent Homology in Sparse Regression and Its Application to Brain Morphometry. Ieee Transactions On Medical Imaging. PMID 25823032 DOI: 10.1109/Tmi.2015.2416271  0.319
2015 Lin B, He X, Ye J. A geometric viewpoint of manifold learning Applied Informatics. 2: 3. DOI: 10.1186/S40535-015-0006-6  0.417
2015 Wang Z, Ye J. Querying Discriminative and Representative Samples for Batch Mode Active Learning Acm Transactions On Knowledge Discovery From Data. 9: 17. DOI: 10.1145/2700408  0.408
2015 Yang S, Lu Z, Shen X, Wonka P, Ye J. Fused multiple graphical lasso Siam Journal On Optimization. 25: 916-943. DOI: 10.1137/130936397  0.304
2015 Wang Z, Lai MJ, Lu Z, Fan W, Davulcu H, Ye J. Orthogonal rank-one matrix pursuit for low rank matrix completion Siam Journal On Scientific Computing. 37: A488-A514. DOI: 10.1137/130934271  0.417
2015 Seo JS, Lin B, Kim M, Chen PY, Kadetotad D, Xu Z, Mohanty A, Vrudhula S, Yu S, Ye J, Cao Y. On-Chip Sparse Learning Acceleration With CMOS and Resistive Synaptic Devices Ieee Transactions On Nanotechnology. 14: 969-979. DOI: 10.1109/Tnano.2015.2478861  0.356
2015 Qian B, Wang X, Ye J, Davidson I. A reconstruction error based framework for multi-label and multi-view learning Ieee Transactions On Knowledge and Data Engineering. 27: 594-607. DOI: 10.1109/Tkde.2014.2339860  0.38
2015 Kadetotad D, Xu Z, Mohanty A, Chen PY, Lin B, Ye J, Vrudhula S, Yu S, Cao Y, Seo Js. Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration Ieee Journal On Emerging and Selected Topics in Circuits and Systems. DOI: 10.1109/Jetcas.2015.2426495  0.311
2015 Xiang S, Shen X, Ye J. Efficient nonconvex sparse group feature selection via continuous and discrete optimization Artificial Intelligence. 224: 28-50. DOI: 10.1016/J.Artint.2015.02.008  0.772
2014 Tsao S, Gajawelli N, Zhou J, Shi J, Ye J, Wang Y, Lepore N. Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso. Proceedings of Spie--the International Society For Optical Engineering. 9034: 90342L. PMID 25076826 DOI: 10.1117/12.2042720  0.312
2014 Li H, Liu Y, Gong P, Zhang C, Ye J. Hierarchical interactions model for predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conversion. Plos One. 9: e82450. PMID 24416143 DOI: 10.1371/Journal.Pone.0082450  0.31
2014 Dubey R, Zhou J, Wang Y, Thompson PM, Ye J. Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study. Neuroimage. 87: 220-41. PMID 24176869 DOI: 10.1016/J.Neuroimage.2013.10.005  0.421
2014 Xiang S, Yuan L, Fan W, Wang Y, Thompson PM, Ye J. Bi-level multi-source learning for heterogeneous block-wise missing data. Neuroimage. 102: 192-206. PMID 23988272 DOI: 10.1016/J.Neuroimage.2013.08.015  0.772
2014 Chen J, Ye J. Sparse trace norm regularization Computational Statistics. 29: 623-639. DOI: 10.1007/S00180-013-0440-7  0.564
2013 Gong P, Zhang C, Lu Z, Huang JZ, Ye J. A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. Proceedings of the ... International Conference On Machine Learning. International Conference On Machine Learning. 28: 37-45. PMID 25285330  0.309
2013 Gong P, Ye J, Zhang C. Multi-Stage Multi-Task Feature Learning. Advances in Neural Information Processing Systems. 14: 2979-3010. PMID 24431924  0.306
2013 Sun Q, Muckatira S, Yuan L, Ji S, Newfeld S, Kumar S, Ye J. Image-level and group-level models for Drosophila gene expression pattern annotation. Bmc Bioinformatics. 14: 350. PMID 24299119 DOI: 10.1186/1471-2105-14-350  0.331
2013 Hu Y, Zhang D, Ye J, Li X, He X. Fast and accurate matrix completion via truncated nuclear norm regularization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2117-30. PMID 23868774 DOI: 10.1109/Tpami.2012.271  0.392
2013 Zhou J, Liu J, Narayan VA, Ye J. Modeling disease progression via multi-task learning. Neuroimage. 78: 233-48. PMID 23583359 DOI: 10.1016/J.Neuroimage.2013.03.073  0.316
2013 Chen J, Tang L, Liu J, Ye J. A convex formulation for learning a shared predictive structure from multiple tasks. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1025-38. PMID 23520249 DOI: 10.1109/Tpami.2012.189  0.635
2013 Wang Y, Yuan L, Shi J, Greve A, Ye J, Toga AW, Reiss AL, Thompson PM. Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis. Neuroimage. 74: 209-30. PMID 23435208 DOI: 10.1016/J.Neuroimage.2013.02.011  0.389
2013 Huang S, Li J, Ye J, Fleisher A, Chen K, Wu T, Reiman E. A sparse structure learning algorithm for Gaussian Bayesian Network identification from high-dimensional data. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1328-42. PMID 22665720 DOI: 10.1109/Tpami.2012.129  0.393
2013 Liu J, Musialski P, Wonka P, Ye J. Tensor completion for estimating missing values in visual data. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 208-20. PMID 22271823 DOI: 10.1109/TPAMI.2012.39  0.322
2013 Zhao Z, Wang L, Liu H, Ye J. On Similarity Preserving Feature Selection Ieee Transactions On Knowledge and Data Engineering. 25: 619-632. DOI: 10.1109/Tkde.2011.222  0.387
2013 Musialski P, Cui M, Ye J, Razdan A, Wonka P. A framework for interactive image color editing Visual Computer. 29: 1173-1186. DOI: 10.1007/S00371-012-0761-5  0.349
2012 Chattopadhyay R, Wang Z, Fan W, Davidson I, Panchanathan S, Ye J. Batch Mode Active Sampling based on Marginal Probability Distribution Matching. Kdd : Proceedings / International Conference On Knowledge Discovery & Data Mining. International Conference On Knowledge Discovery & Data Mining. 2012: 741-749. PMID 25309807 DOI: 10.1145/2339530.2339647  0.765
2012 Xiang S, Zhu Y, Shen X, Ye J. Optimal Exact Least Squares Rank Minimization. Kdd : Proceedings / International Conference On Knowledge Discovery & Data Mining. International Conference On Knowledge Discovery & Data Mining. 2012: 480-488. PMID 25309806 DOI: 10.1145/2339530.2339609  0.754
2012 Huang S, Li J, Chen K, Wu T, Ye J, Wu X, Yao L. A Transfer Learning Approach for Network Modeling. Iie Transactions : Industrial Engineering Research & Development. 44: 915-931. PMID 24526804 DOI: 10.1080/0740817X.2011.649390  0.349
2012 Chen J, Liu J, Ye J. Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. Acm Transactions On Knowledge Discovery From Data. 5: 22. PMID 24077658 DOI: 10.1145/2086737.2086742  0.603
2012 Ye J, Liu J. Sparse Methods for Biomedical Data. Sigkdd Explorations : Newsletter of the Special Interest Group (Sig) On Knowledge Discovery & Data Mining. 14: 4-15. PMID 24076585 DOI: 10.1145/2408736.2408739  0.353
2012 Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J. Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging Data. Kdd : Proceedings / International Conference On Knowledge Discovery & Data Mining. International Conference On Knowledge Discovery & Data Mining. 1149-1157. PMID 24014189 DOI: 10.1145/2339530.2339710  0.301
2012 Yuan L, Woodard A, Ji S, Jiang Y, Zhou ZH, Kumar S, Ye J. Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval. Bmc Bioinformatics. 13: 107. PMID 22621237 DOI: 10.1186/1471-2105-13-107  0.343
2012 Chattopadhyay R, Jesunathadas M, Poston B, Santello M, Ye J, Panchanathan S. A subject-independent method for automatically grading electromyographic features during a fatiguing contraction. Ieee Transactions On Bio-Medical Engineering. 59: 1749-57. PMID 22498666 DOI: 10.1109/Tbme.2012.2193881  0.741
2012 Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J. Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. Neuroimage. 61: 622-32. PMID 22498655 DOI: 10.1016/J.Neuroimage.2012.03.059  0.427
2012 Li YX, Ji S, Kumar S, Ye J, Zhou ZH. Drosophila gene expression pattern annotation through multi-instance multi-label learning. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 9: 98-112. PMID 21519115 DOI: 10.1109/Tcbb.2011.73  0.372
2012 Chattopadhyay R, Sun Q, Fan W, Davidson I, Panchanathan S, Ye J. Multisource domain adaptation and its application to early detection of fatigue Acm Transactions On Knowledge Discovery From Data. 6. DOI: 10.1145/2382577.2382582  0.75
2012 Liu J, Wonka P, Ye J. Sparse non-negative tensor factorization using columnwise coordinate descent Pattern Recognition. 45: 649-656. DOI: 10.1016/J.Patcog.2011.05.015  0.391
2011 Zhou J, Chen J, Ye J. Clustered Multi-Task Learning Via Alternating Structure Optimization. Advances in Neural Information Processing Systems. 2011: 702-710. PMID 25328366  0.525
2011 Yang H, Xu Z, Ye J, King I, Lyu MR. Efficient sparse generalized multiple kernel learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 433-46. PMID 21257374 DOI: 10.1109/Tnn.2010.2103571  0.367
2011 Sun L, Ji S, Ye J. Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 194-200. PMID 20733223 DOI: 10.1109/Tpami.2010.160  0.393
2011 Ye J, Wu T, Li J, Chen K. Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease Ieee Computer. 44: 99-101. DOI: 10.1109/Mc.2011.117  0.302
2011 Yu S, Bi J, Ye J. Matrix-variate and higher-order probabilistic projections Data Mining and Knowledge Discovery. 22: 372-392. DOI: 10.1007/S10618-010-0183-9  0.415
2010 Ilinkin I, Ye J, Janardan R. Multiple structure alignment and consensus identification for proteins. Bmc Bioinformatics. 11: 71. PMID 20122279 DOI: 10.1186/1471-2105-11-71  0.701
2010 Ji S, Tang L, Yu S, Ye J. A shared-subspace learning framework for multi-label classification Acm Transactions On Knowledge Discovery From Data. 4: 8. DOI: 10.1145/1754428.1754431  0.452
2010 Pong TK, Tseng P, Ji S, Ye J. Trace norm regularization: Reformulations, algorithms, and multi-task learning Siam Journal On Optimization. 20: 3465-3489. DOI: 10.1137/090763184  0.392
2009 Wu M, Ye J. A small sphere and large margin approach for novelty detection using training data with outliers. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 2088-92. PMID 19762934 DOI: 10.1109/Tpami.2009.24  0.338
2009 Ji S, Li YX, Zhou ZH, Kumar S, Ye J. A bag-of-words approach for Drosophila gene expression pattern annotation. Bmc Bioinformatics. 10: 119. PMID 19383139 DOI: 10.1186/1471-2105-10-119  0.348
2008 Ji S, Ye J. Generalized linear discriminant analysis: a unified framework and efficient model selection. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 1768-82. PMID 18842480 DOI: 10.1109/Tnn.2008.2002078  0.476
2008 Ye J, Chen J, Janardan R, Kumar S. Developmental Stage Annotation of Drosophila Gene Expression Pattern Images via an Entire Solution Path for LDA. Acm Transactions On Knowledge Discovery From Data. 2. PMID 18769656 DOI: 10.1145/1342320.1342324  0.725
2008 Ji S, Sun L, Jin R, Kumar S, Ye J. Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. Bioinformatics (Oxford, England). 24: 1881-8. PMID 18632750 DOI: 10.1093/Bioinformatics/Btn347  0.347
2008 Sun L, Ji S, Ye J. Adaptive diffusion kernel learning from biological networks for protein function prediction. Bmc Bioinformatics. 9: 162. PMID 18366736 DOI: 10.1186/1471-2105-9-162  0.345
2008 Ji S, Ye J. Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study Ieee Transactions On Knowledge and Data Engineering. 20: 1311-1321. DOI: 10.1109/Tkde.2008.57  0.405
2008 Li Q, Kambhamettu C, Ye J. An evaluation of identity representability of facial expressions using feature distributions Neurocomputing. 71: 1902-1912. DOI: 10.1016/J.Neucom.2007.09.020  0.366
2006 Ye J, Chen J, Li Q, Kumar S. Classification of Drosophila embryonic developmental stage range based on gene expression pattern images. Computational Systems Bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference. 293-8. PMID 17369647  0.504
2006 Ye J, Janardan R, Li Q, Park H. Feature reduction via generalized uncorrelated linear discriminant analysis Ieee Transactions On Knowledge and Data Engineering. 18: 1312-1322. DOI: 10.1109/Tkde.2006.160  0.726
2005 Ye J, Li Q. A two-stage linear discriminant analysis via QR-decomposition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 929-41. PMID 15943424 DOI: 10.1109/Tpami.2005.110  0.404
2005 Ye J, Li Q, Xiong H, Park H, Janardan R, Kumar V. IDR/QR: An incremental dimension reduction algorithm via QR decomposition Ieee Transactions On Knowledge and Data Engineering. 17: 1208-1221. DOI: 10.1109/Tkde.2005.148  0.699
2004 Ye J, Li T, Xiong T, Janardan R. Using uncorrelated discriminant analysis for tissue classification with gene expression data. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 1: 181-90. PMID 17051700 DOI: 10.1109/Tcbb.2004.45  0.674
2004 Ye J, Janardan R. Approximate multiple protein structure alignment using the sum-of-pairs distance. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 11: 986-1000. PMID 15700413 DOI: 10.1089/Cmb.2004.11.986  0.692
2004 Ye J, Janardan R, Park CH, Park H. An optimization criterion for generalized discriminant analysis on undersampled problems. Ieee Transactions On Pattern Analysis and Machine Intelligence. 26: 982-94. PMID 15641729 DOI: 10.1109/Tpami.2004.37  0.696
2004 Ye J, Janardan R, Liu S. Pairwise protein structure alignment based on an orientation-independent backbone representation. Journal of Bioinformatics and Computational Biology. 2: 699-717. PMID 15617162 DOI: 10.1142/S021972000400082X  0.689
2004 Ye J, Li Q. LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation Pattern Recognition. 37: 851-854. DOI: 10.1016/J.Patcog.2003.08.006  0.392
2004 Ye J. Generalized low rank approximations of matrices Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 887-894. DOI: 10.1007/S10994-005-3561-6  0.414
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