Jiayu Zhou

发表

Robust Convex Clustering Analysis

Jiayu Zhou, Thomas S. Huang, Qi Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A multi-task learning formulation for predicting disease progression

Jiayu Zhou, Jieping Ye, Jun Liu, 2011, KDD.

Clustered Multi-Task Learning Via Alternating Structure Optimization

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2011, NIPS.

An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence

Fei Wang, Jiayu Zhou, Cao Xiao, 2018, Scientific Reports.

Multi Task Learning Grab Cut Image n Image 3 Image Image 1 Grab Cut Grab Cut Grab Cut Mask n Mask 3 Mask 2 Mask 1 Saliency

Jieping Ye, Jiayu Zhou, Qiang Zhang, 2014 .

Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent

Fei Wang, Jiayu Zhou, H. Dodge, 2020, Scientific Reports.

Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2015, Front. Neurosci..

Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease

Cassandra D. Leonardo, Yalin Wang, Jieping Ye, 2015, Front. Aging Neurosci..

Discover Temporal Dynamics of Biomarkers in Predictive Modeling with Longitudinal Data

Jieping Ye, Jimeng Sun, Fei Wang, 2013 .

MULTI-TASK LEARNING IN CRISIS EVENT CLASSIFICATION

Jiayu Zhou, 2011 .

The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1.

Jiayu Zhou, Clifford R Jack, Liang Zhan, 2018, Journal of Alzheimer's disease : JAD.

Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry

Jiayu Zhou, Jieping Ye, Yalin Wang, 2017, Brain and behavior.

Ecological prediction at macroscales using big data: Does sampling design matter?

Jiayu Zhou, Pang-Ning Tan, Qi Wang, 2020, Ecological applications : a publication of the Ecological Society of America.

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Jiayu Zhou, Huijun Wang, Bin Chen, 2021, KDD.

Transfer Learning in Deep Reinforcement Learning: A Survey

Jiayu Zhou, Zhuangdi Zhu, Kaixiang Lin, 2020, ArXiv.

Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data

Jiayu Zhou, Jieping Ye, Yan Li, 2018, SDM.

Sex differences in viral entry protein expression and host transcript responses to SARS-CoV-2

Benjamin S. Glicksberg, E. Schadt, Jiayu Zhou, 2020, Research square.

2014 IEEE International Conference on Data Mining

Philip S. Yu, Charu C. Aggarwal, Meng Wang, 2014 .

Spatio-Temporal Multi-Task Learning via Tensor Decomposition

Jiayu Zhou, Jianpeng Xu, Pang-Ning Tan, 2021, IEEE Transactions on Knowledge and Data Engineering.

Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation

Zhenfeng Zhu, Jiayu Zhou, Yang Liu, 2021, IEEE Journal of Biomedical and Health Informatics.

Doubly Sparsifying Network

Jiayu Zhou, Thomas S. Huang, Zhangyang Wang, 2017, IJCAI.

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters pdf

Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang, 2016, ArXiv.

Off-Policy Imitation Learning from Observations

Bo Dai, Kaixiang Lin, Jiayu Zhou, 2021, NeurIPS.

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations pdf

Jiayu Zhou, Bo Dai, Kaixiang Lin, 2020, ArXiv.

Ranking Policy Gradient pdf

Jiayu Zhou, Kaixiang Lin, Jiayu Zhou, 2019, ICLR.

Multi-task learning based survival analysis for multi-source block-wise missing data

Jiayu Zhou, Jieping Ye, Yan Li, 2019, Neurocomputing.

Robust Self-Tuning Sparse Subspace Clustering

Jiayu Zhou, Jieping Ye, Gao Cong, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Asynchronous Multi-task Learning

Jiayu Zhou, Anil K. Jain, Inci M. Baytas, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Analysis of sampling techniques for imbalanced data: An n=648 ADNI study

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2014, NeuroImage.

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition

Paul M. Thompson, Jiayu Zhou, Jieping Ye, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients

Jiayu Zhou, Jieping Ye, Gayle M. Wittenberg, 2013, Pacific Symposium on Biocomputing.

FeaFiner: biomarker identification from medical data through feature generalization and selection

Fei Wang, Jimeng Sun, Jiayu Zhou, 2013, KDD.

Boosted Trajectory Calibration for Traffic State Estimation

Zheng Wang, Jiayu Zhou, Xitong Zhang, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Charu C. Aggarwal, Meng Wang, Jiayu Zhou, 2014, 2014 IEEE International Conference on Data Mining.

Robust Collaborative Learning with Noisy Labels pdf

Bin Chen, Mengying Sun, Jiayu Zhou, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Learning A Task-Specific Deep Architecture For Clustering pdf

Jiayu Zhou, Thomas S. Huang, Shiyu Chang, 2015, SDM.

Multi-task Survival Analysis

Jiayu Zhou, Jieping Ye, Yan Li, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records

Jiayu Zhou, Fei Wang, Fengyi Tang, 2019, KDD.

Graph convolutional networks for computational drug development and discovery

Jiayu Zhou, Fei Wang, Sendong Zhao, 2019, Briefings Bioinform..

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

Zhe Xu, Jiayu Zhou, Kaixiang Lin, 2018, KDD.

Fei Wang, Jiayu Zhou, Cao Xiao, 2018, IJCAI.

FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models

Jiayu Zhou, Jianpeng Xu, Pang-Ning Tan, 2015, SDM.

Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation pdf

Jiayu Zhou, Kaixiang Lin, Fengyi Tang, 2018, ArXiv.

Multi-Task Learning and Its Applications to Biomedical Informatics

Jiayu Zhou, Jiayu Zhou, 2014 .

Modeling disease progression via multi-task learning

Jiayu Zhou, Jieping Ye, Jun Liu, 2013, NeuroImage.

Modeling disease progression via fused sparse group lasso

Jiayu Zhou, Jieping Ye, Jun Liu, 2012, KDD.

Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent

Fei Wang, Jiayu Zhou, H. Dodge, 2020, Scientific Reports.

Predictive modeling in urgent care: a comparative study of machine learning approaches

Jiayu Zhou, Cao Xiao, Fengyi Tang, 2018, JAMIA open.

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso

Jiayu Zhou, Jieping Ye, Yalin Wang, 2014, Medical Imaging.

Learning Deep Neural Networks under Agnostic Corrupted Supervision pdf

Jiayu Zhou, Pang-Ning Tan, Boyang Liu, 2021, ICML.

Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract)

Jiayu Zhou, Fei Wang, Olivier Elemento, 2020, AAAI.

MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge pdf

Jiayu Zhou, Mengying Sun, Jing Xing, 2021, ArXiv.

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization

Panos Kalnis, Jiayu Zhou, Peng Yang, 2019, KDD.

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

Fei Wang, Xi Zhang, Jiayu Zhou, 2018, AMIA.

Deep Multi-view Information Bottleneck

Jiayu Zhou, Qi Wang, Pang-Ning Tan, 2019, SDM.

Multimodal Learning with Incomplete Modalities by Knowledge Distillation

Jiayu Zhou, Qi Wang, Liang Zhan, 2020, KDD.

Differentially Private Generative Adversarial Network pdf

Fei Wang, Shu Wang, Jiayu Zhou, 2018, ArXiv.

Stochastic convex sparse principal component analysis

Fei Wang, Jiayu Zhou, Anil K. Jain, 2016, EURASIP J. Bioinform. Syst. Biol..

Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data

Jiayu Zhou, Ephraim M. Hanks, Boyang Liu, 2019, Limnology and Oceanography Letters.

Patient Subtyping via Time-Aware LSTM Networks

Fei Wang, Xi Zhang, Jiayu Zhou, 2017, KDD.

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases

Jiayu Zhou, Zhangyang Wang, Inci M. Baytas, 2018, KDD.

Missing Modalities Imputation via Cascaded Residual Autoencoder

Jiayu Zhou, Rong Jin, Xiaoming Liu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Data-Free Knowledge Distillation for Heterogeneous Federated Learning pdf

Jiayu Zhou, Zhuangdi Zhu, Junyuan Hong, 2021, ICML.

Federated Adversarial Debiasing for Fair and Transferable Representations

Jiayu Zhou, Zhangyang Wang, Hiroko H. Dodge, 2021, KDD.

Federated Learning's Blessing: FedAvg has Linear Speedup pdf

Jiayu Zhou, Zhengyuan Zhou, Jayant Kalagnanam, 2020, ArXiv.

Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation

Jiayu Zhou, M. Sabuncu, Weishen Pan, 2023, Patterns.

Efficient multi-task feature learning with calibration

Jiayu Zhou, Jieping Ye, Wei Fan, 2014, KDD.

Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only

Jieping Ye, Jiayu Zhou, Fengyi Tang, 2021, Interspeech.

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine

Jiayu Zhou, Jianpeng Xu, Pang-Ning Tan, 2016, SDM.

Model-Protected Multi-Task Learning

Fei Wang, Jiayu Zhou, Xiaoqian Jiang, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates

Jiayu Zhou, Inci M. Baytas, Liyang Xie, 2017, KDD.

A Safe Screening Rule for Sparse Logistic Regression

Jiayu Zhou, Jieping Ye, Peter Wonka, 2013, NIPS.

From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records

Fei Wang, Jiayu Zhou, Jieping Ye, 2014, KDD.

An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence

Inci M. Baytas, Fei Wang, Jiayu Zhou, 2018, Scientific Reports.

Integrating low-rank and group-sparse structures for robust multi-task learning

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2011, KDD.

Patient Risk Prediction Model via Top-k Stability Selection

Jimeng Sun, Jiayu Zhou, Jieping Ye, 2013, SDM.

Disease-Specific Risk Prediction through Stability Selection using Electronic Health Records

Jieping Ye, Jimeng Sun, Jiayu Zhou, 2012 .

Learning Model-Based Privacy Protection under Budget Constraints

Jiayu Zhou, Zhangyang Wang, Haotao Wang, 2021, AAAI.

Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation

Jiayu Zhou, Pang-Ning Tan, Boyang Liu, 2018, KDD.

Sex differences in viral entry protein expression, host responses to SARS-CoV-2, and in vitro responses to sex steroid hormone treatment in COVID-19.

Benjamin S. Glicksberg, E. Schadt, Jiayu Zhou, 2020, Research square.

Confidence Weighted Multitask Learning

Jiayu Zhou, Peng Yang, Xin Gao, 2019, AAAI.

Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning pdf

Jiayu Zhou, Zhangyang Wang, Haotao Wang, 2021, ArXiv.

Boosted Sparse and Low-Rank Tensor Regression

Jiayu Zhou, Lifang He, Kun Chen, 2018, NeurIPS.

Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease

Zenglin Xu, Jiayu Zhou, Yazhou Ren, 2017, ICONIP.

Online Multi-Task Learning Framework for Ensemble Forecasting

Jiayu Zhou, Jianpeng Xu, Pang-Ning Tan, 2017, IEEE Transactions on Knowledge and Data Engineering.

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization

Jiayu Zhou, Yifan Peng, Qianqian Xie, 2023, ArXiv.

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

Fei Wang, Jinfeng Yi, Jiayu Zhou, 2018, KDD.

Active Matrix Completion

Jiayu Zhou, Sethuraman Panchanathan, Jieping Ye, 2013, 2013 IEEE 13th International Conference on Data Mining.

Low-Rank and Sparse Multi-task Learning

Jiayu Zhou, Jieping Ye, Jianhui Chen, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management.

Jiayu Zhou, Kaixiang Lin, Renyu Zhao, 2018, 1802.06444.

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection

Jiayu Zhou, Pang-Ning Tan, Kaixiang Lin, 2021, IJCAI.

Who, What, When, and Where: Multi-Dimensional Collaborative Recommendations Using Tensor Factorization on Sparse User-Generated Data

Jiayu Zhou, Thomas Phan, Preeti Bhargava, 2015, WWW.

Transfer Learning in Deep Reinforcement Learning: A Survey

Jiayu Zhou, Zhuangdi Zhu, Kaixiang Lin, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Asynchronous Multi-task Learning

Anil K. Jain, Inci M. Baytas, Jiayu Zhou, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Large-scale supervised similarity learning in networks

Thomas S. Huang, Shiyu Chang, Jiayu Zhou, 2016, Knowledge and Information Systems.

Collaborative Recommendation of Photo-Taking Geolocations

Jiayu Zhou, Shiyu Chang, Thomas Phan, 2014, GeoMM '14.

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation

Mohit Sharma, Jiayu Zhou, George Karypis, 2019, SDM.

Retaining Privileged Information for Multi-Task Learning

Jiayu Zhou, Cao Xiao, Fei Wang, 2019, KDD.

MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors pdf

Jiayu Zhou, Yangli-ao Geng, Qingyong Li, 2021, ArXiv.

Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data

Jiayu Zhou, Pang-Ning Tan, Shuai Yuan, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

The Joint Effects of Acoustic and Linguistic Markers for Early Identification of Mild Cognitive Impairment

Jiayu Zhou, H. Dodge, Fengyi Tang, 2022, Frontiers in Digital Health.

Collaborative Deep Reinforcement Learning pdf

Shu Wang, Jiayu Zhou, Kaixiang Lin, 2017, ArXiv.

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization

Jiayu Zhou, Qi Wang, Shuiwang Ji, 2017, KDD.

Modeling disease progression via multi-task learning

Jieping Ye, Jun Liu, Jiayu Zhou, 2013, NeuroImage.

Adversarial Precision Sensing with Healthcare Applications

Fei Wang, Jiayu Zhou, Fengyi Tang, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Analysis of sampling techniques for imbalanced data: An n=648 ADNI study

Yalin Wang, Jieping Ye, Jiayu Zhou, 2014, NeuroImage.

Persona Authentication through Generative Dialogue pdf

Jiayu Zhou, Fengyi Tang, Lifan Zeng, 2021, ArXiv.

DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records

Fei Wang, Jiayu Zhou, Jianying Hu, 2014, 2014 22nd International Conference on Pattern Recognition.

Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization

Jiayu Zhou, Pang-Ning Tan, Qi Wang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Robust Convex Clustering Analysis

Thomas S. Huang, Pinghua Gong, Qi Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Transfer Learning in Deep Reinforcement Learning: A Survey

Jiayu Zhou, Zhuangdi Zhu, Kaixiang Lin, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Task Feature Interaction Learning

Jiayu Zhou, Jianpeng Xu, Shuiwang Ji, 2016, KDD.

GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction

Jiayu Zhou, Jianpeng Xu, Pang-Ning Tan, 2016, SDM.

A Space Alignment Method for Cold-Start TV Show Recommendations

Jiayu Zhou, Thomas S. Huang, Shiyu Chang, 2015, IJCAI.

Image Cosegmentation via Multi-task Learning

Baoxin Li, Qiang Zhang, Jiayu Zhou, 2014, BMVC.