Peilin Zhao

According to our database1, Peilin Zhao authored at least 93 papers between 2009 and 2019.

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Bibliography

2019
Adaptive Cost-Sensitive Online Classification.
IEEE Trans. Knowl. Data Eng., 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

Decentralized Optimization with Edge Sampling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AUC-MF: Point of Interest Recommendation with AUC Maximization.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Complexities in Projection-Free Stochastic Non-convex Minimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

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

2018
Twitter Microblog Sentiment Analysis.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Second-Order Online Active Learning and Its Applications.
IEEE Trans. Knowl. Data Eng., 2018

Online Active Learning with Expert Advice.
TKDD, 2018

Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods.
ACM TIST, 2018

Distributed multi-task classification: a decentralized online learning approach.
Machine Learning, 2018

Online Compact Convexified Factorization Machine.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Robust Asymmetric Recommendation via Min-Max Optimization.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Local Online Learning Approach for Non-linear Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Distributed Collaborative Hashing and Its Applications in Ant Financial.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

High-dimensional Similarity Learning via Dual-sparse Random Projection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Bandit Online Learning on Graphs via Adaptive Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication.
Proceedings of the 35th International Conference on Machine Learning, 2018

Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Robust Online Multi-Task Learning with Correlative and Personalized Structures.
IEEE Trans. Knowl. Data Eng., 2017

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Collaborative topic regression for online recommender systems: an online and Bayesian approach.
Machine Learning, 2017

PSMART: Parameter Server based Multiple Additive Regression Trees System.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Locally Linear Factorization Machines.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning User Dependencies for Recommendation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Multitask Relative Similarity Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projection-free Distributed Online Learning in Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Large Scale Kernel Methods for Online AUC Maximization.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2016

Soft Confidence-Weighted Learning.
ACM TIST, 2016

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.
PLoS Computational Biology, 2016

Online Passive-Aggressive Active learning.
Machine Learning, 2016

Large Scale Online Kernel Learning.
J. Mach. Learn. Res., 2016

Efficient Multi-Class Selective Sampling on Graphs.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Correlative and Personalized Structure for Online Multi-Task Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Temporal Kernel Descriptors for Learning with Time-sensitive Patterns.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Online Sparse Passive Aggressive Learning with Kernels.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Repeat Buyer Prediction for E-Commerce.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

ROM: A Robust Online Multi-task Learning Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SOAL: Second-Order Online Active Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life.
Proceedings of the Database Systems for Advanced Applications, 2016

Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Cost Sensitive Online Multiple Kernel Classification.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Online ARIMA Algorithms for Time Series Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Active Crowdsourcing for Annotation.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Online Learning to Rank for Content-Based Image Retrieval.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Boosting Algorithm for Item Recommendation with Implicit Feedback.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Stochastic Optimization with Importance Sampling for Regularized Loss Minimization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Adaptive Stochastic Alternating Direction Method of Multipliers.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sparse Online Relative Similarity Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Aggressive Graph-Based Selective Sampling Algorithm for Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Min-Max Optimization Framework For Online Graph Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Relative Similarity from Data Streams: Active Online Learning Approaches.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

An Adaptive Gradient Method for Online AUC Maximization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Online Feature Selection and Its Applications.
IEEE Trans. Knowl. Data Eng., 2014

Online Multiple Kernel Similarity Learning for Visual Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

LIBOL: a library for online learning algorithms.
J. Mach. Learn. Res., 2014

Online Transfer Learning.
Artif. Intell., 2014

High-Dimensional Data Stream Classification via Sparse Online Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Online Passive Aggressive Active Learning and Its Applications.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

Learning Relative Similarity by Stochastic Dual Coordinate Ascent.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection.
TKDD, 2013

Online Multiple Kernel Classification.
Machine Learning, 2013

Active Learning with Expert Advice.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Online multi-task collaborative filtering for on-the-fly recommender systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Online multimodal deep similarity learning with application to image retrieval.
Proceedings of the ACM Multimedia Conference, 2013

Cost-sensitive online active learning with application to malicious URL detection.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Large Scale Online Kernel Classification.
Proceedings of the IJCAI 2013, 2013

2012
PAMR: Passive aggressive mean reversion strategy for portfolio selection.
Machine Learning, 2012

BDUOL: Double Updating Online Learning on a Fixed Budget.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Online feature selection for mining big data.
Proceedings of the 1st International Workshop on Big Data, 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Exact Soft Confidence-Weighted Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Cost-Sensitive Online Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Double Updating Online Learning.
J. Mach. Learn. Res., 2011

Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Mining social images with distance metric learning for automated image tagging.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Online AUC Maximization.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
OTL: A Framework of Online Transfer Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Local features are not lonely - Laplacian sparse coding for image classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
DUOL: A Double Updating Approach for Online Learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009


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