Jiayu Zhou

According to our database1, Jiayu Zhou authored at least 85 papers between 2007 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2018
Latent Fingerprint Value Prediction: Crowd-Based Learning.
IEEE Trans. Information Forensics and Security, 2018

Robust state estimation for discrete time systems with colored noises and communication constraints.
J. Franklin Institute, 2018

Boosted Sparse and Low-Rank Tensor Regression.
CoRR, 2018

Model-Protected Multi-Task Learning.
CoRR, 2018

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
CoRR, 2018

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
CoRR, 2018

Distributed Data Vending on Blockchain.
CoRR, 2018

Differentially Private Generative Adversarial Network.
CoRR, 2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
CoRR, 2018

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning.
CoRR, 2018

Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation.
CoRR, 2018

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models.
CoRR, 2018

EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement.
CoRR, 2018

An Improved Three-Phase Voltage Source Converter With High-Performance Operation Under Unbalanced Conditions.
IEEE Access, 2018

Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement.
Proceedings of the 4th IEEE Conference on Network Softwarization and Workshops, 2018

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Online Multi-Task Learning Framework for Ensemble Forecasting.
IEEE Trans. Knowl. Data Eng., 2017

Biomedical informatics with optimization and machine learning.
EURASIP J. Bioinformatics and Systems Biology, 2017

Collaborative Deep Reinforcement Learning.
CoRR, 2017

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Patient Subtyping via Time-Aware LSTM Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Doubly Sparsifying Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Robust Self-Tuning Sparse Subspace Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-task Survival Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Missing Modalities Imputation via Cascaded Residual Autoencoder.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.
IEEE Trans. Multimedia, 2016

Large-scale supervised similarity learning in networks.
Knowl. Inf. Syst., 2016

Stochastic convex sparse principal component analysis.
EURASIP J. Bioinformatics and Systems Biology, 2016

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters.
CoRR, 2016

Asynchronous Multi-Task Learning.
CoRR, 2016

GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Learning A Task-Specific Deep Architecture For Clustering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Task Feature Interaction Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Discriminative fusion of multiple brain networks for early mild cognitive impairment detection.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Robust Convex Clustering Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Interactive Multi-task Relationship Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Asynchronous Multi-task Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Automatic latent value determination.
Proceedings of the International Conference on Biometrics, 2016

WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Decentralized Recommender Systems.
CoRR, 2015

Learning A Task-Specific Deep Architecture For Clustering.
CoRR, 2015

Who, What, When, and Where: Multi-Dimensional Collaborative Recommendations Using Tensor Factorization on Sparse User-Generated Data.
Proceedings of the 24th International Conference on World Wide Web, 2015

FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A Space Alignment Method for Cold-Start TV Show Recommendations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
NeuroImage, 2014

Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

A Safe Screening Rule for Sparse Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Collaborative Recommendation of Photo-Taking Geolocations.
Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia, 2014

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Efficient multi-task feature learning with calibration.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Factorized Similarity Learning in Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Image Cosegmentation via Multi-task Learning.
Proceedings of the British Machine Vision Conference, 2014

Low-Rank and Sparse Multi-task Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
Modeling disease progression via multi-task learning.
NeuroImage, 2013

A Safe Screening Rule for Sparse Logistic Regression.
CoRR, 2013

Patient Risk Prediction Model via Top-k Stability Selection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Lasso Screening Rules via Dual Polytope Projection.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active Matrix Completion.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Modeling disease progression via fused sparse group lasso.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
Using Inverse lambda and Generalization to Translate English to Formal Languages
CoRR, 2011

Clustered Multi-Task Learning Via Alternating Structure Optimization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A multi-task learning formulation for predicting disease progression.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Integrating low-rank and group-sparse structures for robust multi-task learning.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Using Inverse lambda and Generalization to Translate English to Formal Languages.
Proceedings of the Ninth International Conference on Computational Semantics, 2011

2010
Learning Hierarchical Lexical Hyponymy.
IJCINI, 2010

2009
Unified hierarchical iterate model of human conceptualization and cognition.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Discover hierarchical lexical hyponymy relation from large-scale concept set.
Proceedings of the Seventh IEEE International Conference on Cognitive Informatics, 2008

2007
A Google-Based Statistical Acquisition Model of Chinese Lexical Concepts.
Proceedings of the Knowledge Science, 2007


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