Jiayu Zhou

Orcid: 0000-0003-4336-6777

According to our database1, Jiayu Zhou authored at least 205 papers between 2007 and 2024.

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Bibliography

2024
Discovering Predictable Latent Factors for Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., October, 2024

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey.
ACM Comput. Surv., October, 2024

DFIE3D: 3D-Aware Disentangled Face Inversion and Editing via Facial-Contrastive Learning.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
Patterns, 2024

TransCell: <i>In Silico</i> Characterization of Genomic Landscape and Cellular Responses by Deep Transfer Learning.
Genom. Proteom. Bioinform., 2024

Distributed In-Context Learning under Non-IID Among Clients.
CoRR, 2024

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models.
CoRR, 2024

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization.
CoRR, 2024

Towards Stability of Parameter-free Optimization.
CoRR, 2024

Cross-modality debiasing: using language to mitigate sub-population shifts in imaging.
CoRR, 2024

Stochastic Two Points Method for Deep Model Zeroth-order Optimization.
CoRR, 2024

A ConvNeXt-Based Network for Aerial-view Geo-localization in Multiple Environment.
Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2024

FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Safe and Robust Watermark Injection with a Single OoD Image.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

FedGreen: Carbon-Aware Federated Learning with Model Size Adaptation.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

On the Generalization Ability of Unsupervised Pretraining.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
IRS-Aided Secure Communications Over an Untrusted AF Relay System.
IEEE Trans. Wirel. Commun., December, 2023

A method of motion estimation of segmental ventricular wall with tracking of ultrasonic echocardiogram.
BMC Medical Imaging, December, 2023

Transfer Learning in Deep Reinforcement Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

H<sub>∞</sub> Filter for Discrete-Time Periodic Piecewise Systems With Missing Measurements.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition.
ACM Trans. Sens. Networks, February, 2023

How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.
Trans. Mach. Learn. Res., 2023

Eavesdropping Strategies for Remote State Estimation Under Communication Constraints.
IEEE Trans. Inf. Forensics Secur., 2023

Reinforcement Learning Solution for Cyber-Physical Systems Security Against Replay Attacks.
IEEE Trans. Inf. Forensics Secur., 2023

Watermarking-Based Protection Strategy Against Stealthy Integrity Attack on Distributed State Estimation.
IEEE Trans. Autom. Control., 2023

Distributed filtering algorithm based on local outlier factor under data integrity attacks.
J. Frankl. Inst., 2023

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg.
J. Artif. Intell. Res., 2023

Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning.
CoRR, 2023

Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning.
CoRR, 2023

FedNoisy: Federated Noisy Label Learning Benchmark.
CoRR, 2023

WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity.
CoRR, 2023

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023

FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization.
CoRR, 2023

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey.
CoRR, 2023

Distortion-based state security codes for distributed sensor networks.
Autom., 2023

An efficient encoding mechanism against eavesdropper with side channel information.
Autom., 2023

User-Aware Prefix-Tuning Is a Good Learner for Personalized Image Captioning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Understanding Deep Gradient Leakage via Inversion Influence Functions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

International Workshop on Federated Learning for Distributed Data Mining.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EHA3D: Expressive Head Avatar via Disentangled Latent Code.
Proceedings of the Digital Multimedia Communications, 2023

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers.
Proceedings of the International Conference on Machine Learning, 2023

Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MECTA: Memory-Economic Continual Test-Time Model Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Federated Learning with Client Availability Budgets.
Proceedings of the IEEE Global Communications Conference, 2023

USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

A Secure Encoding Mechanism Against Deception Attacks on Multisensor Remote State Estimation.
IEEE Trans. Inf. Forensics Secur., 2022

Privacy Preserving via Secure Summation in Distributed Kalman Filtering.
IEEE Trans. Control. Netw. Syst., 2022

Distributed State Estimation With Colored Noises.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Model-Protected Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Virtual full-duplex buffer-aided relay selection schemes for secure cooperative wireless networks.
EURASIP J. Wirel. Commun. Netw., 2022

Security analysis and defense strategy of distributed filtering under false data injection attacks.
Autom., 2022

Parked Vehicles Task Offloading in Edge Computing.
IEEE Access, 2022

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cosmo: contrastive fusion learning with small data for multimodal human activity recognition.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Hysteresis ON-OFF Control Method of Inductive Power Transfer Systems with Low Output Ripples and Fast Transient Responses.
Proceedings of the IECON 2022, 2022

Ensuring Soft Switching During Transient Operations of Wireless Power Transfer Systems with Frequency Control.
Proceedings of the IECON 2022, 2022

Resilient and Communication Efficient Learning for Heterogeneous Federated Systems.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Unsupervised Domain Adaptation from A Corrupted Source.
Proceedings of the IEEE International Conference on Data Mining, 2022

Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Dynamic Augmentation Data Selection for Few-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Optimization Of HIFU Focused Sound Field Based On Improved Sparrow Search Algorithm.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

Research On Temperature Control In High Intensity Focused Ultrasound Therapy Based On Res-BPPID.
Proceedings of the 7th International Conference on Automation, 2022

On Building Real Time Intelligent Agricultural.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Unsupervised Anomaly Detection by Robust Density Estimation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Spatio-Temporal Multi-Task Learning via Tensor Decomposition.
IEEE Trans. Knowl. Data Eng., 2021

Reset Moving Horizon Estimation for Quantized Discrete Time Systems.
IEEE Trans. Autom. Control., 2021

Kernel principal components based cascade forest towards disease identification with human microbiota.
BMC Medical Informatics Decis. Mak., 2021

Persona Authentication through Generative Dialogue.
CoRR, 2021

Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning.
CoRR, 2021

MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge.
CoRR, 2021

MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors.
CoRR, 2021

On Dynamic Noise Influence in Differentially Private Learning.
CoRR, 2021

Reinforcement Learning-Based Detection for State Estimation Under False Data Injection.
IEEE Access, 2021

FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

ClusterFL: a similarity-aware federated learning system for human activity recognition.
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Federated Adversarial Debiasing for Fair and Transferable Representations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Data-Free Knowledge Distillation for Heterogeneous Federated Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Deep Neural Networks under Agnostic Corrupted Supervision.
Proceedings of the 38th International Conference on Machine Learning, 2021

Imitating Full-Duplex Secure Communication with Buffer-Aided Half-Duplex Relays.
Proceedings of the ICC 2021, 2021

EdgePV: Collaborative Edge Computing Framework for Task Offloading.
Proceedings of the ICC 2021, 2021

FedFace: Collaborative Learning of Face Recognition Model.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021

Learning Model-Based Privacy Protection under Budget Constraints.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Two birds with one stone: Transforming and generating facial images with iterative GAN.
Neurocomputing, 2020

Transfer Learning in Deep Reinforcement Learning: A Survey.
CoRR, 2020

Federated Learning's Blessing: FedAvg has Linear Speedup.
CoRR, 2020

Alternate Distributed Beamforming for Buffer-Aided Multi-Antenna Relay Systems.
CoRR, 2020

Mimicking Full-Duplex Secure Communications for Buffer-Aided Multi-Relay Systems.
CoRR, 2020

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations.
CoRR, 2020

Graph convolutional networks for computational drug development and discovery.
Briefings Bioinform., 2020

Off-Policy Imitation Learning from Observations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multimodal Learning with Incomplete Modalities by Knowledge Distillation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Ranking Policy Gradient.
Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarial Precision Sensing with Healthcare Applications.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Robust Collaborative Learning with Noisy Labels.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Alternate Distributed Beamforming for Decode-and-Forward Multi-Relay Systems Using Buffers.
Proceedings of the International Conference on Computing, Networking and Communications, 2020

Collaborative Container-based Parked Vehicle Edge Computing Framework for Online Task Offloading.
Proceedings of the 9th IEEE International Conference on Cloud Networking, 2020

Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Application of image stitching method in corrosion morphology analysis.
J. Electronic Imaging, 2019

Multi-task learning based survival analysis for multi-source block-wise missing data.
Neurocomputing, 2019

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.
CoRR, 2019

RMTL: an R library for multi-task learning.
Bioinform., 2019

Train Wheel Degradation Modeling and Remaining Useful Life Prediction Based on Mixed Effect Model Considering Dependent Measurement Errors.
IEEE Access, 2019

Deep Multi-view Information Bottleneck.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Augmented Multi-Task Learning by Optimal Transport.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Retaining Privileged Information for Multi-Task Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Boosted Trajectory Calibration for Traffic State Estimation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Confidence Weighted Multitask Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Latent Fingerprint Value Prediction: Crowd-Based Learning.
IEEE Trans. Inf. Forensics Secur., 2018

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

Differentially Private Generative Adversarial Network.
CoRR, 2018

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

Boosted Sparse and Low-Rank Tensor Regression.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Distributed Data Vending on Blockchain.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

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

Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization.
Proceedings of the IEEE International Conference on Data Mining, 2018

Heterogeneous Hyper-Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
Proceedings of the AMIA 2018, 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. Bioinform. Syst. Biol., 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. Multim., 2016

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

Stochastic convex sparse principal component analysis.
EURASIP J. Bioinform. Syst. Biol., 2016

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters.
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 (IEEE BigData 2016), 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-<i>n</i> 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
Multi-Task Learning and Its Applications to Biomedical Informatics.
PhD thesis, 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

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
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.
Int. J. Cogn. Informatics Nat. Intell., 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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