[Google Scholar] [DBLP]
Preprints:
Adaptive Subgradient Methods for Online AUC Maximization.
Yi Ding, Peilin Zhao, Steven C.H. Hoi, Yew-Soon Ong
arXiv.org [PDF]
Budget Online Multiple Kernel Learning
Jing Lu, Steven C.H. Hoi, Doyen Sahoo, Peilin Zhao
arXiv.org [PDF]
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling
Peilin Zhao, Tong Zhang
arXiv.org [PDF]
A Framework of Sparse Online Learning and Its Applications.
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. Major Revision. [PDF]
Adaptive Subgradient Methods for Online AUC Maximization.
Yi Ding, Peilin Zhao, Steven C.H. Hoi, Yew-Soon Ong
arXiv.org [PDF]
Budget Online Multiple Kernel Learning
Jing Lu, Steven C.H. Hoi, Doyen Sahoo, Peilin Zhao
arXiv.org [PDF]
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling
Peilin Zhao, Tong Zhang
arXiv.org [PDF]
A Framework of Sparse Online Learning and Its Applications.
Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. Major Revision. [PDF]
Publications:
Distributed multi-task classification: a decentralized online learning approach.
Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee, Chunyan Miao, Steven C. H. Hoi
Machine Learning (MLJ) 2018.
Second-Order Online Active Learning and Its Applications.
Shuji Hao, Jing Lu, Peilin Zhao, Chi Zhang, Steven C. H. Hoi, Chunyan Miao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods.
Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi
ACM Transactions on Intelligent Systems and Technology (TIST) 2018.
Online Active Learning with Expert Advice.
Shuji Hao, Peiying Hu, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao
ACM Transactions on Knowledge Discovery from Data (TKDD) 2018.
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication.
Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
The 36th International Conference on Machine Learning (ICML) 2018.
Distributed Collaborative Hashing and Its Applications in Ant Financial.
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
24th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD) 2018.
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.
Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan
24th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD) 2018.
Bandit Online Learning on Graphs via Adaptive Optimization.
Peng Yang, Peilin Zhao, Xin Gao
the 27th International Joint Conference on Artificial Intelligence (IJCAI) 2018.
High-dimensional Similarity Learning via Dual-sparse Random Projection.
Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
the 27th International Joint Conference on Artificial Intelligence (IJCAI) 2018.
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018.
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.
Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018.
Robust Asymmetric Recommendation via Min-Max Optimization.
Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2018.
Online Compact Convexified Factorization Machine.
Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang
The Web Conference (WWW) 2018.
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback.
Peng Yang, Peilin Zhao, Yong Liu, Xin Gao
SIAM: SIAM International Conference on Data Mining (SDM) 2018.
A Local Online Learning Approach for Non-linear Data.
Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2018
Robust Online Multi-Task Learning with Correlative and Personalized Structures.
Peng Yang, Peilin Zhao, Xin Gao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017. [PDF]
Collaborative Topic Regression for Online Recommender Systems: An Online and Bayesian Approach
Chenghao Liu, Tao Jin, Steven C.H. Hoi, Peilin Zhao, Jianling Sun
Machine Learning (MLJ), 2017. Accepted. [PDF]
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
Ali Ezzat, Peilin Zhao, Min Wu, Xiao-Li Li, Chee Keong Kwoh.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2017. [PDF]
Projection-Free Distributed Online Learning in Networks
Wenpeng Zhang, Peilin Zhao, Steven Hoi, Wenwu Zhu, Tong Zhang
International Conference on Machine Learning (ICML), 2017. [PDF]
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant
Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan Qi
23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017) August 2017, Halfiax, Canada. [PDF]
Large Scale Kernel Methods for Online AUC Maximization
Yi Ding, Chenghao Liu, Peilin Zhao, Steven Hoi
The IEEE International Conference on Data Mining (ICDM) 2017
A Short-Term Rainfall Prediction Model using Multi-Site Convolutional Neural Networks
Minghui Qiu, Peilin Zhao, Ke Zhang, Xing Shi, Xiaoguang Wang, Jun Huang, Wei Chu
The IEEE International Conference on Data Mining (ICDM) 2017
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li
International Joint Conference on Artificial Intelligence (IJCAI), 2017. [PDF]
Online Multi-task Similarity Learning
Shuji Hao, Peilin Zhao, Steven Hoi, Chunyan Miao
International Joint Conference on Artificial Intelligence (IJCAI), 2017. [PDF]
Local Linear Factorization Machine
Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun
International Joint Conference on Artificial Intelligence (IJCAI), 2017. [PDF]
Large Scale Online Kernel Learning.
Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhi-yong Liu.
Journal of Machine Learning Research (JMLR), 2016. Accepted. [PDF]
Online Passive Aggressive Active Learning.
Jing Lu, Peilin Zhao, Steven C. H. Hoi.
Machine Learning (MLJ), 2016. Accepted.[PDF]
Online Multi-modal Distance Metric Learning with Application to Image Retrieval.
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhi-Yong Liu.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. Accepted [PDF]
Soft Confidence-Weighted Learning.
Jialei Wang, Peilin Zhao, Steven C. H. Hoi
ACM Transactions on Intelligent Systems and Technology (TIST), 2016. [PDF]
Neighborhood Regularized Logistic Matrix Factorization for Drug-target Interaction Prediction.
Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li.
PLOS Computational Biology, 2016. Accepted. [PDF]
Matrix Eigendecomposition via Doubly Stochastic Riemannian Optimization.
Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li.
The 33rd International Conference on Machine Learning (ICML 2016). New York City, June 19 - 24, 2016. [PDF]
Repeat Buyer Prediction for E-Commerce
G. Liu, J. Cao, N. T. Tam, J. Yang, W. Zha, M. Wu, Peilin Zhao, W. Chen.
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016). San Francisco, California, Aug 13-17, 2016. [PDF]
Online ARIMA Algorithms for Time Series Prediction.
Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun.
The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). February 12–17, 2016, Phoenix, Arizona, USA. Accepted. [PDF][Appendix]
ROM: A Robust Online Multi-task Classification Approach.
Chi Zhang, Peilin Zhao, Shuji Hao.
The IEEE International Conference on Data Mining (ICDM 2016). Barcelona, Spain. [PDF]
Second Order Online Active Learning
Shuji Hao, Peilin Zhao, Steven Hoi, Chunyan Miao.
The IEEE International Conference on Data Mining (ICDM 2016). Barcelona, Spain. [PDF]
Cost Sensitive Online Multiple Kernel Classification
Doyen Sahoo, Peilin Zhao, Steven Hoi
The 8th Asian Conference on Machine Learning (ACML 2016). New Zealand. November 16-18, 2016. [PDF]
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data
Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). Nov 2–6, 2016. Austin USA. [PDF]
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications
Chenghao Liu, Peilin Zhao, Steven C.H. Hoi, Jianling Sun and Ee-Peng Lim
The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016). October 24-28, 2016. Indianapolis, USA. [PDF]
An Efficient Multi-class Selective Sampling Algorithm on Graphs
Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu.
The Conference on Uncertainty in Artificial Intelligence (UAI 2016). New York City, June 25 - 29, 2016. [PDF]
Online Sparse Passive Aggressive Learning with Kernels.
Jing Lu, Peilin Zhao, Steven C. H. Hoi.
2016 SIAM International Conference on Data Mining (SDM 2016), May 5-7, 2016, Miami, Florida, USA. [PDF]
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns.
Doyen Sahoo, Abhishek Sharma, Steven C.H. Hoi, Peilin Zhao.
2016 SIAM International Conference on Data Mining (SDM 2016), May 5-7, 2016, Miami, Florida, USA. [PDF]
Learning Correlative and Personalized Structure for Online Multi-Task Classification.
Peng Yang, Peilin Zhao, Guangxia Li, Xiao-Li Li, Sujatha Das Gollapalli.
2016 SIAM International Conference on Data Mining (SDM 2016), May 5-7, 2016, Miami, Florida, USA. [PDF]
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life.
Sateesh Babu Giduthuri, Peilin Zhao, Xiaoli Li.
The 21th International Conference on Database Systems for Advanced Applications (DASFAA-2016). 16-19 April 2016, Dallas, Texas,USA. [PDF]
Cost-sensitive Online Classification with Adaptive Regularization and Its Applications.
Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C.H. Hoi.
IEEE International Conference on Data Mining (ICDM), NJ, USA, November 14-17, 2015. [PDF]
An Aggressive Graph-based Selective Sampling Algorithm for Classification.
Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li.
IEEE International Conference on Data Mining (ICDM), NJ, USA, November 14-17, 2015. [PDF]
Sparse Online Relative Similarity Learning.
Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li.
IEEE International Conference on Data Mining (ICDM), NJ, USA, November 14-17, 2015. [PDF]
Active Crowdsourcing for Annotation.
Shuji Hao, Chunyan Miao, Steven C.H. Hoi, Peilin Zhao.
IEEE/WIC/ACM Web Intelligence 2015 and IEEE/WIC/ACM Intelligent Agent Technology 2015 (WI-IAT 2015). December 6-9, 2015, Singapore.
A Min-Max Optimization Framework for Online Graph Classification.
Peng Yang, Peilin Zhao.
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. [PDF]
Learning Relative Similarity from Data Streams: Active Online Learning Approaches.
Shuji Hao, Peilin Zhao, Steven C.H. Hoi, Chunyan Miao.
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. [PDF]
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization.
Peilin Zhao, Tong Zhang.
The 32nd International Conference on Machine Learning (ICML 2015), Lille, France, on July 6 – July 11, 2015. [PDF]
Adaptive Stochastic Alternating Direction Method of Multipliers.
Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li.
The 32nd International Conference on Machine Learning (ICML 2015), Lille, France, on July 6 – July 11, 2015. [PDF]
A Boosting Algorithm for Item Recommendation with Implicit Feedback.
Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao.
24th International Joint Conference on Artificial Intelligence (IJCAI-15), July 25- August 01, 2015, Buenos Aires, Argentina. [PDF]
Online Learning to Rank for Content-Based Image Retrieval.
Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Dayong Wang.
24th International Joint Conference on Artificial Intelligence (IJCAI-15), July 25- August 01, 2015, Buenos Aires, Argentina. [PDF]
An Adaptive Gradient Method for Online AUC Maximization.
Yi Ding, Peilin Zhao, Steven C.H. Hoi, Yew Soon Ong.
The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), January 25–29, 2015, Austin, Texas, USA. [PDF]
LIBOL: A Library for Online Learning Algorithms.
Steven C.H. Hoi, Jialei Wang, Peilin Zhao.
Journal of Machine Learning Research (JMLR), 2014.
Online Transfer Learning.
Peilin Zhao, Steven C.H. Hoi, Jialei Wang, Bin Li.
Artificial Intelligence (AIJ), 2014.
Online Multiple Kernel Similarity Learning for Visual Search.
Hao Xia, Steven C.H. Hoi, Rong Jin, Peilin Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
Cost-sensitive Online Classification.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
Online Feature Selection and Its Applications.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi, Rong Jin.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
Online Passive Aggressive Active Learning and Its Applications.
Jing Lu, Peilin Zhao, Steven C.H. Hoi.
Journal of Machine Learning Research - Proceedings Track (ACML 2014), November 26-28, 2014, Nha Trang, Vietnam.
High-dimensional Data Stream Classification via Sparse Online Learning.
Dayong Wang, Pengcheng Wu, Peilin Zhao, Chunyan Miao, Steven C.H. Hoi.
IEEE International Conference on Data Mining (ICDM 2014), Dec 14-17, 2014, Shenzhen, China.
Learning Relative Similarity by Stochastic Dual Coordinate Ascent.
Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C.H. Hoi.
The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), July 27–31, 2014, Quebec City, Quebec, Canada.
Online Multiple Kernel Classification.
Steven C.H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang.
Machine Learning (MLJ), 2013.
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.
Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan.
Transactions on Knowledge Discovery from Data (TKDD), 2013.
Cost-Sensitive Online Active Learning with Application to Malicious URL Detection.
Peilin Zhao, Steven C.H. Hoi.
19th Conference on Knowledge Discovery and Data Mining (KDD 2013), Chicago, Illinois, USA, August 11-14, 2013.
Second Order Online Collaborative Filtering.
Jing Lu, Steven C.H. Hoi, Jialei Wang, Peilin Zhao.
Journal of Machine Learning Research - Proceedings Track (ACML 2013), Canberra, Australia, November 13-15, 2013.
Online Multimodal Deep Similarity Learning with Application to Image Retrieval.
Pengcheng Wu, Steven C.H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao.
The 21st ACM International Conference on Multimedia (MM 2013), Barcelona, Spain, October 21-25, 2013.
Online Multi-Task Collaborative Filtering for On-the-Fly Recommender Systems.
Jialei Wang, Steven C.H. Hoi, Peilin Zhao, Zhi-yong Liu.
The seventh ACM conference in Recommender System (RecSys 2013), Hong Kong, China, Oct 12-16, 2013.
Large Scale Online Kernel Classification.
Jialei Wang, Steven C.H. Hoi, Peilin Zhao, Jinfeng Zhuang, Zhi-Yong Liu.
International Joint Conference On Artificial Intelligence (IJCAI 2013), Beijing, China, August 03-09, 2013.
Active Learning with Expert Advice.
Peilin Zhao, Steven C.H. Hoi, Jinfeng Zhuang.
The Conference on Uncertainty in Artificial Intelligence (UAI 2013), Bellevue, Washington, USA, July 11-15, 2013.
Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection.
Peilin Zhao, Steven C.H. Hoi.
SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, 2-4 May 2013.
PAMR: Passive aggressive mean reversion strategy for portfolio selection.
Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan.
Machine Learning (MLJ) 87(2): 221-258, 2012.
Cost-Sensitive Online Classification.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi.
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium, 10 - 13 December, 2012.
BDUOL: Double Updating Online Learning on a Fixed Budget.
Peilin Zhao, Steven C.H. Hoi.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2012): 810-826, Bristol, UK, 24-28 September 2012.
Exact Soft Confidence-Weighted Learning.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi.
The 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, 26 June - 1 July 2012.
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C.H. Hoi.
The 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, 26 June - 1 July 2012.
Double Updating Online Learning.
Peilin Zhao, Steven C.H. Hoi, Rong Jin.
Journal of Machine Learning Research (JMLR) 12: 1587-1615, May 2011.
Online AUC Maximization.
Peilin Zhao, Steven C.H. Hoi, Rong Jin, Tianbao Yang.
The 28th International Conference on Machine Learning (ICML 2011): 233-240, Bellevue,Washington, USA, 28 June - 2 July 2011.
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.
Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan.
Journal of Machine Learning Research (JMLR), W&CP 10, vol. 10, (AISTATS 2011): 434-442, Fort Lauderdale, FL, USA, 11-13 April 2011.
Mining Social Images with Distance Metric Learning for Automated Image Tagging.
Pengcheng Wu, Steven C.H. Hoi, Peilin Zhao, Ying He.
he fourth ACM International Conference on Web Search and Data Mining (WSDM 2011): 197-206, Hong Kong, China, 9-12 February 2011.
OTL: A Framework of Online Transfer Learning.
Peilin Zhao and Steven C.H. Hoi.
The 27th International Conference on Machine Learning (ICML 2010): 1231-1238, Haifa, Israel, 21-24 June 2010.
Local Features Are Not Lonely- Laplacian Sparse Coding for Image Classification.
Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia, Peilin Zhao.
Proceedings of the 23rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010):3555-3561, San Francisco, CA, USA, 13-18 June 2010.
DUOL: A Double Updating Approach for Online Learning.
Peilin Zhao, Steven C.H. Hoi, Rong Jin.
Advances in Neural Information Processing Systems (NIPS 2009): 2259-2267, Vancouver, B.C., Canada, 7-10 December 2009.
Distributed multi-task classification: a decentralized online learning approach.
Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee, Chunyan Miao, Steven C. H. Hoi
Machine Learning (MLJ) 2018.
Second-Order Online Active Learning and Its Applications.
Shuji Hao, Jing Lu, Peilin Zhao, Chi Zhang, Steven C. H. Hoi, Chunyan Miao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods.
Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi
ACM Transactions on Intelligent Systems and Technology (TIST) 2018.
Online Active Learning with Expert Advice.
Shuji Hao, Peiying Hu, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao
ACM Transactions on Knowledge Discovery from Data (TKDD) 2018.
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication.
Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian
The 36th International Conference on Machine Learning (ICML) 2018.
Distributed Collaborative Hashing and Its Applications in Ant Financial.
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
24th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD) 2018.
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.
Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan
24th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD) 2018.
Bandit Online Learning on Graphs via Adaptive Optimization.
Peng Yang, Peilin Zhao, Xin Gao
the 27th International Joint Conference on Artificial Intelligence (IJCAI) 2018.
High-dimensional Similarity Learning via Dual-sparse Random Projection.
Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
the 27th International Joint Conference on Artificial Intelligence (IJCAI) 2018.
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018.
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points.
Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018.
Robust Asymmetric Recommendation via Min-Max Optimization.
Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2018.
Online Compact Convexified Factorization Machine.
Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang
The Web Conference (WWW) 2018.
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback.
Peng Yang, Peilin Zhao, Yong Liu, Xin Gao
SIAM: SIAM International Conference on Data Mining (SDM) 2018.
A Local Online Learning Approach for Non-linear Data.
Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2018
Robust Online Multi-Task Learning with Correlative and Personalized Structures.
Peng Yang, Peilin Zhao, Xin Gao
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017. [PDF]
Collaborative Topic Regression for Online Recommender Systems: An Online and Bayesian Approach
Chenghao Liu, Tao Jin, Steven C.H. Hoi, Peilin Zhao, Jianling Sun
Machine Learning (MLJ), 2017. Accepted. [PDF]
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
Ali Ezzat, Peilin Zhao, Min Wu, Xiao-Li Li, Chee Keong Kwoh.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2017. [PDF]
Projection-Free Distributed Online Learning in Networks
Wenpeng Zhang, Peilin Zhao, Steven Hoi, Wenwu Zhu, Tong Zhang
International Conference on Machine Learning (ICML), 2017. [PDF]
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant
Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan Qi
23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017) August 2017, Halfiax, Canada. [PDF]
Large Scale Kernel Methods for Online AUC Maximization
Yi Ding, Chenghao Liu, Peilin Zhao, Steven Hoi
The IEEE International Conference on Data Mining (ICDM) 2017
A Short-Term Rainfall Prediction Model using Multi-Site Convolutional Neural Networks
Minghui Qiu, Peilin Zhao, Ke Zhang, Xing Shi, Xiaoguang Wang, Jun Huang, Wei Chu
The IEEE International Conference on Data Mining (ICDM) 2017
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li
International Joint Conference on Artificial Intelligence (IJCAI), 2017. [PDF]
Online Multi-task Similarity Learning
Shuji Hao, Peilin Zhao, Steven Hoi, Chunyan Miao
International Joint Conference on Artificial Intelligence (IJCAI), 2017. [PDF]
Local Linear Factorization Machine
Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun
International Joint Conference on Artificial Intelligence (IJCAI), 2017. [PDF]
Large Scale Online Kernel Learning.
Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhi-yong Liu.
Journal of Machine Learning Research (JMLR), 2016. Accepted. [PDF]
Online Passive Aggressive Active Learning.
Jing Lu, Peilin Zhao, Steven C. H. Hoi.
Machine Learning (MLJ), 2016. Accepted.[PDF]
Online Multi-modal Distance Metric Learning with Application to Image Retrieval.
Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhi-Yong Liu.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. Accepted [PDF]
Soft Confidence-Weighted Learning.
Jialei Wang, Peilin Zhao, Steven C. H. Hoi
ACM Transactions on Intelligent Systems and Technology (TIST), 2016. [PDF]
Neighborhood Regularized Logistic Matrix Factorization for Drug-target Interaction Prediction.
Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li.
PLOS Computational Biology, 2016. Accepted. [PDF]
Matrix Eigendecomposition via Doubly Stochastic Riemannian Optimization.
Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li.
The 33rd International Conference on Machine Learning (ICML 2016). New York City, June 19 - 24, 2016. [PDF]
Repeat Buyer Prediction for E-Commerce
G. Liu, J. Cao, N. T. Tam, J. Yang, W. Zha, M. Wu, Peilin Zhao, W. Chen.
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016). San Francisco, California, Aug 13-17, 2016. [PDF]
Online ARIMA Algorithms for Time Series Prediction.
Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun.
The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). February 12–17, 2016, Phoenix, Arizona, USA. Accepted. [PDF][Appendix]
ROM: A Robust Online Multi-task Classification Approach.
Chi Zhang, Peilin Zhao, Shuji Hao.
The IEEE International Conference on Data Mining (ICDM 2016). Barcelona, Spain. [PDF]
Second Order Online Active Learning
Shuji Hao, Peilin Zhao, Steven Hoi, Chunyan Miao.
The IEEE International Conference on Data Mining (ICDM 2016). Barcelona, Spain. [PDF]
Cost Sensitive Online Multiple Kernel Classification
Doyen Sahoo, Peilin Zhao, Steven Hoi
The 8th Asian Conference on Machine Learning (ACML 2016). New Zealand. November 16-18, 2016. [PDF]
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data
Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). Nov 2–6, 2016. Austin USA. [PDF]
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications
Chenghao Liu, Peilin Zhao, Steven C.H. Hoi, Jianling Sun and Ee-Peng Lim
The 25th ACM International Conference on Information and Knowledge Management (CIKM 2016). October 24-28, 2016. Indianapolis, USA. [PDF]
An Efficient Multi-class Selective Sampling Algorithm on Graphs
Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu.
The Conference on Uncertainty in Artificial Intelligence (UAI 2016). New York City, June 25 - 29, 2016. [PDF]
Online Sparse Passive Aggressive Learning with Kernels.
Jing Lu, Peilin Zhao, Steven C. H. Hoi.
2016 SIAM International Conference on Data Mining (SDM 2016), May 5-7, 2016, Miami, Florida, USA. [PDF]
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns.
Doyen Sahoo, Abhishek Sharma, Steven C.H. Hoi, Peilin Zhao.
2016 SIAM International Conference on Data Mining (SDM 2016), May 5-7, 2016, Miami, Florida, USA. [PDF]
Learning Correlative and Personalized Structure for Online Multi-Task Classification.
Peng Yang, Peilin Zhao, Guangxia Li, Xiao-Li Li, Sujatha Das Gollapalli.
2016 SIAM International Conference on Data Mining (SDM 2016), May 5-7, 2016, Miami, Florida, USA. [PDF]
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life.
Sateesh Babu Giduthuri, Peilin Zhao, Xiaoli Li.
The 21th International Conference on Database Systems for Advanced Applications (DASFAA-2016). 16-19 April 2016, Dallas, Texas,USA. [PDF]
Cost-sensitive Online Classification with Adaptive Regularization and Its Applications.
Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C.H. Hoi.
IEEE International Conference on Data Mining (ICDM), NJ, USA, November 14-17, 2015. [PDF]
An Aggressive Graph-based Selective Sampling Algorithm for Classification.
Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li.
IEEE International Conference on Data Mining (ICDM), NJ, USA, November 14-17, 2015. [PDF]
Sparse Online Relative Similarity Learning.
Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li.
IEEE International Conference on Data Mining (ICDM), NJ, USA, November 14-17, 2015. [PDF]
Active Crowdsourcing for Annotation.
Shuji Hao, Chunyan Miao, Steven C.H. Hoi, Peilin Zhao.
IEEE/WIC/ACM Web Intelligence 2015 and IEEE/WIC/ACM Intelligent Agent Technology 2015 (WI-IAT 2015). December 6-9, 2015, Singapore.
A Min-Max Optimization Framework for Online Graph Classification.
Peng Yang, Peilin Zhao.
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. [PDF]
Learning Relative Similarity from Data Streams: Active Online Learning Approaches.
Shuji Hao, Peilin Zhao, Steven C.H. Hoi, Chunyan Miao.
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, Oct 19-23, 2015. [PDF]
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization.
Peilin Zhao, Tong Zhang.
The 32nd International Conference on Machine Learning (ICML 2015), Lille, France, on July 6 – July 11, 2015. [PDF]
Adaptive Stochastic Alternating Direction Method of Multipliers.
Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li.
The 32nd International Conference on Machine Learning (ICML 2015), Lille, France, on July 6 – July 11, 2015. [PDF]
A Boosting Algorithm for Item Recommendation with Implicit Feedback.
Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao.
24th International Joint Conference on Artificial Intelligence (IJCAI-15), July 25- August 01, 2015, Buenos Aires, Argentina. [PDF]
Online Learning to Rank for Content-Based Image Retrieval.
Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Dayong Wang.
24th International Joint Conference on Artificial Intelligence (IJCAI-15), July 25- August 01, 2015, Buenos Aires, Argentina. [PDF]
An Adaptive Gradient Method for Online AUC Maximization.
Yi Ding, Peilin Zhao, Steven C.H. Hoi, Yew Soon Ong.
The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), January 25–29, 2015, Austin, Texas, USA. [PDF]
LIBOL: A Library for Online Learning Algorithms.
Steven C.H. Hoi, Jialei Wang, Peilin Zhao.
Journal of Machine Learning Research (JMLR), 2014.
Online Transfer Learning.
Peilin Zhao, Steven C.H. Hoi, Jialei Wang, Bin Li.
Artificial Intelligence (AIJ), 2014.
Online Multiple Kernel Similarity Learning for Visual Search.
Hao Xia, Steven C.H. Hoi, Rong Jin, Peilin Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
Cost-sensitive Online Classification.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
Online Feature Selection and Its Applications.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi, Rong Jin.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
Online Passive Aggressive Active Learning and Its Applications.
Jing Lu, Peilin Zhao, Steven C.H. Hoi.
Journal of Machine Learning Research - Proceedings Track (ACML 2014), November 26-28, 2014, Nha Trang, Vietnam.
High-dimensional Data Stream Classification via Sparse Online Learning.
Dayong Wang, Pengcheng Wu, Peilin Zhao, Chunyan Miao, Steven C.H. Hoi.
IEEE International Conference on Data Mining (ICDM 2014), Dec 14-17, 2014, Shenzhen, China.
Learning Relative Similarity by Stochastic Dual Coordinate Ascent.
Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C.H. Hoi.
The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), July 27–31, 2014, Quebec City, Quebec, Canada.
Online Multiple Kernel Classification.
Steven C.H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang.
Machine Learning (MLJ), 2013.
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.
Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan.
Transactions on Knowledge Discovery from Data (TKDD), 2013.
Cost-Sensitive Online Active Learning with Application to Malicious URL Detection.
Peilin Zhao, Steven C.H. Hoi.
19th Conference on Knowledge Discovery and Data Mining (KDD 2013), Chicago, Illinois, USA, August 11-14, 2013.
Second Order Online Collaborative Filtering.
Jing Lu, Steven C.H. Hoi, Jialei Wang, Peilin Zhao.
Journal of Machine Learning Research - Proceedings Track (ACML 2013), Canberra, Australia, November 13-15, 2013.
Online Multimodal Deep Similarity Learning with Application to Image Retrieval.
Pengcheng Wu, Steven C.H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao.
The 21st ACM International Conference on Multimedia (MM 2013), Barcelona, Spain, October 21-25, 2013.
Online Multi-Task Collaborative Filtering for On-the-Fly Recommender Systems.
Jialei Wang, Steven C.H. Hoi, Peilin Zhao, Zhi-yong Liu.
The seventh ACM conference in Recommender System (RecSys 2013), Hong Kong, China, Oct 12-16, 2013.
Large Scale Online Kernel Classification.
Jialei Wang, Steven C.H. Hoi, Peilin Zhao, Jinfeng Zhuang, Zhi-Yong Liu.
International Joint Conference On Artificial Intelligence (IJCAI 2013), Beijing, China, August 03-09, 2013.
Active Learning with Expert Advice.
Peilin Zhao, Steven C.H. Hoi, Jinfeng Zhuang.
The Conference on Uncertainty in Artificial Intelligence (UAI 2013), Bellevue, Washington, USA, July 11-15, 2013.
Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection.
Peilin Zhao, Steven C.H. Hoi.
SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, 2-4 May 2013.
PAMR: Passive aggressive mean reversion strategy for portfolio selection.
Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan.
Machine Learning (MLJ) 87(2): 221-258, 2012.
Cost-Sensitive Online Classification.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi.
IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium, 10 - 13 December, 2012.
BDUOL: Double Updating Online Learning on a Fixed Budget.
Peilin Zhao, Steven C.H. Hoi.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2012): 810-826, Bristol, UK, 24-28 September 2012.
Exact Soft Confidence-Weighted Learning.
Jialei Wang, Peilin Zhao, Steven C.H. Hoi.
The 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, 26 June - 1 July 2012.
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C.H. Hoi.
The 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, 26 June - 1 July 2012.
Double Updating Online Learning.
Peilin Zhao, Steven C.H. Hoi, Rong Jin.
Journal of Machine Learning Research (JMLR) 12: 1587-1615, May 2011.
Online AUC Maximization.
Peilin Zhao, Steven C.H. Hoi, Rong Jin, Tianbao Yang.
The 28th International Conference on Machine Learning (ICML 2011): 233-240, Bellevue,Washington, USA, 28 June - 2 July 2011.
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection.
Bin Li, Steven C.H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan.
Journal of Machine Learning Research (JMLR), W&CP 10, vol. 10, (AISTATS 2011): 434-442, Fort Lauderdale, FL, USA, 11-13 April 2011.
Mining Social Images with Distance Metric Learning for Automated Image Tagging.
Pengcheng Wu, Steven C.H. Hoi, Peilin Zhao, Ying He.
he fourth ACM International Conference on Web Search and Data Mining (WSDM 2011): 197-206, Hong Kong, China, 9-12 February 2011.
OTL: A Framework of Online Transfer Learning.
Peilin Zhao and Steven C.H. Hoi.
The 27th International Conference on Machine Learning (ICML 2010): 1231-1238, Haifa, Israel, 21-24 June 2010.
Local Features Are Not Lonely- Laplacian Sparse Coding for Image Classification.
Shenghua Gao, Ivor W. Tsang, Liang-Tien Chia, Peilin Zhao.
Proceedings of the 23rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010):3555-3561, San Francisco, CA, USA, 13-18 June 2010.
DUOL: A Double Updating Approach for Online Learning.
Peilin Zhao, Steven C.H. Hoi, Rong Jin.
Advances in Neural Information Processing Systems (NIPS 2009): 2259-2267, Vancouver, B.C., Canada, 7-10 December 2009.
Workshop & Poster Papers
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu
The 26th International World Wide Web Conference (WWW 2017) , Perth, Australia, 2017.
PSMART: Parameter Server based Multiple Additive Regression Trees System.
Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang
The 26th International World Wide Web Conference (WWW 2017), Perth, Australia, 2017.
Practical Fraud Transaction Detection.
Longfei Li, Peilin Zhao, Chaochao Chen, Jun Zhou and Xiaolong Li
1st International CIKM Workshop on Social Media Analytics for Smart Cities (SMASC 2017), Singapore
Online Feature Selection for Big Data Mining.
Steven C.H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin.
The 1st ACM SIGKDD Workshop on Big Data Mining (BigMine) Beijing, P.R. China Aug, 2012.
Online Transfer Learning: Towards Knowledge Transfer via Online learning.
Peilin Zhao, Steven C.H. Hoi.
Advances in Neural Information Processing Systems (NIPS2009) Workshop on Transfer Learning, December 7-10, 2009
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu
The 26th International World Wide Web Conference (WWW 2017) , Perth, Australia, 2017.
PSMART: Parameter Server based Multiple Additive Regression Trees System.
Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang
The 26th International World Wide Web Conference (WWW 2017), Perth, Australia, 2017.
Practical Fraud Transaction Detection.
Longfei Li, Peilin Zhao, Chaochao Chen, Jun Zhou and Xiaolong Li
1st International CIKM Workshop on Social Media Analytics for Smart Cities (SMASC 2017), Singapore
Online Feature Selection for Big Data Mining.
Steven C.H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin.
The 1st ACM SIGKDD Workshop on Big Data Mining (BigMine) Beijing, P.R. China Aug, 2012.
Online Transfer Learning: Towards Knowledge Transfer via Online learning.
Peilin Zhao, Steven C.H. Hoi.
Advances in Neural Information Processing Systems (NIPS2009) Workshop on Transfer Learning, December 7-10, 2009
Thesis
- Kernel Based Online Learning. Peilin Zhao, Nanyang Technological University. PHD thesis. 2013. [pdf]