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2020 – today
- 2020
[j28]Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao:
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399: 296-306 (2020)- [j27]Guangxia Li
, Peilin Zhao, Tao Mei, Peng Yang, Yulong Shen, Kuiyu Chang, Steven C. H. Hoi:
Collaborative online ranking algorithms for multitask learning. Knowl. Inf. Syst. 62(6): 2327-2348 (2020) - [j26]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j25]Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi:
A Unified Framework for Sparse Online Learning. ACM Trans. Knowl. Discov. Data 14(5): 59:1-59:20 (2020) - [j24]Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang:
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. 32(6): 1036-1049 (2020) - [c82]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI 2020: 549-556 - [c81]Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 2020: 6672-6679 - [c80]Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. AAAI 2020: 6746-6753 - [c79]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020 - [c78]Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang:
Contextualized Point-of-Interest Recommendation. IJCAI 2020: 2484-2490 - [c77]Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI 2020: 4647-4653 - [i41]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR abs/2001.06362 (2020) - [i40]Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. CoRR abs/2003.00389 (2020) - [i39]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i38]Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang:
Context-Aware Domain Adaptation in Semantic Segmentation. CoRR abs/2003.04010 (2020) - [i37]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR abs/2003.05610 (2020) - [i36]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR abs/2003.13089 (2020) - [i35]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i34]Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang:
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR abs/2007.05970 (2020) - [i33]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR abs/2007.07197 (2020) - [i32]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i31]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020)
2010 – 2019
- 2019
- [j23]Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting cyberattacks in industrial control systems using online learning algorithms. Neurocomputing 364: 338-348 (2019) - [j22]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - [c76]Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao:
Confidence Weighted Multitask Learning. AAAI 2019: 5636-5643 - [c75]Zebang Shen, Cong Fang, Peilin Zhao, Junzhou Huang, Hui Qian:
Complexities in Projection-Free Stochastic Non-convex Minimization. AISTATS 2019: 2868-2876 - [c74]Guangxia Li, Peilin Zhao, Xiao Lu, Jia Liu, Yulong Shen:
Data Analytics for Fog Computing by Distributed Online Learning with Asynchronous Update. ICC 2019: 1-6 - [c73]Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang:
Graph Convolutional Networks for Temporal Action Localization. ICCV 2019: 7093-7102 - [c72]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis:
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE 2019: 1558-1561 - [c71]Chi Zhang, Qianxiao Li, Peilin Zhao:
Decentralized Optimization with Edge Sampling. IJCAI 2019: 658-664 - [c70]Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao:
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. IJCAI 2019: 3023-3030 - [c69]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [c68]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c67]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS 2019: 735-747 - [c66]Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic:
Hyperparameter Learning via Distributional Transfer. NeurIPS 2019: 6801-6812 - [c65]Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Robust Factorization Machine: A Doubly Capped Norms Minimization. SDM 2019: 738-746 - [i30]Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu:
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. CoRR abs/1901.10593 (2019) - [i29]Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang:
Transferable Neural Processes for Hyperparameter Optimization. CoRR abs/1909.03209 (2019) - [i28]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Networks for Temporal Action Localization. CoRR abs/1909.03252 (2019) - [i27]Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian:
Aggregated Gradient Langevin Dynamics. CoRR abs/1910.09223 (2019) - [i26]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR abs/1910.14488 (2019) - [i25]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i24]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - [i23]Guangxia Li, Yulong Shen, Peilin Zhao, Xiao Lu, Jia Liu, Yangyang Liu, Steven C. H. Hoi:
Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms. CoRR abs/1912.03589 (2019) - [i22]Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR abs/1912.09729 (2019) - 2018
- [j21]Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee, Chunyan Miao, Steven C. H. Hoi:
Distributed multi-task classification: a decentralized online learning approach. Mach. Learn. 107(4): 727-747 (2018) - [j20]Jing Lu, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi:
Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods. ACM Trans. Intell. Syst. Technol. 9(4): 45:1-45:27 (2018) - [j19]Shuji Hao, Peiying Hu, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao:
Online Active Learning with Expert Advice. ACM Trans. Knowl. Discov. Data 12(5): 58:1-58:22 (2018) - [j18]Shuji Hao, Jing Lu, Peilin Zhao, Chi Zhang, Steven C. H. Hoi, Chunyan Miao:
Second-Order Online Active Learning and Its Applications. IEEE Trans. Knowl. Data Eng. 30(7): 1338-1351 (2018) - [c64]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. AAAI 2018: 257-264 - [c63]Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi:
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. AAAI 2018: 2339-2346 - [c62]Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian:
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. ICML 2018: 4631-4640 - [c61]Peng Yang, Peilin Zhao, Xin Gao:
Bandit Online Learning on Graphs via Adaptive Optimization. IJCAI 2018: 2991-2997 - [c60]Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong:
High-dimensional Similarity Learning via Dual-sparse Random Projection. IJCAI 2018: 3005-3011 - [c59]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD 2018: 100-109 - [c58]Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD 2018: 2768-2777 - [c57]Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li:
A Local Online Learning Approach for Non-linear Data. PAKDD (2) 2018: 431-443 - [c56]Peng Yang, Peilin Zhao, Yong Liu, Xin Gao:
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. SDM 2018: 621-629 - [c55]Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao:
Robust Asymmetric Recommendation via Min-Max Optimization. SIGIR 2018: 1077-1080 - [c54]Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang:
Online Compact Convexified Factorization Machine. WWW 2018: 1633-1642 - [r1]Guangxia Li, Zhen Hai, Peilin Zhao, Kuiyu Chang, Steven C. H. Hoi:
Twitter Microblog Sentiment Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i21]Wenpeng Zhang, Xiao Lin, Peilin Zhao:
Online Compact Convexified Factorization Machine. CoRR abs/1802.01379 (2018) - [i20]Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao:
Online Learning: A Comprehensive Survey. CoRR abs/1802.02871 (2018) - [i19]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-sensitive Online Classification. CoRR abs/1804.02246 (2018) - [i18]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR abs/1804.04918 (2018) - [i17]Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li:
A Boosting Framework of Factorization Machine. CoRR abs/1804.06027 (2018) - [i16]Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian:
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. CoRR abs/1805.09969 (2018) - [i15]Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan:
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR abs/1809.07099 (2018) - [i14]Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic:
Hyperparameter Learning via Distributional Transfer. CoRR abs/1810.06305 (2018) - 2017
- [j17]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Collaborative topic regression for online recommender systems: an online and Bayesian approach. Mach. Learn. 106(5): 651-670 (2017) - [j16]Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 646-656 (2017) - [j15]Peng Yang, Peilin Zhao, Xin Gao:
Robust Online Multi-Task Learning with Correlative and Personalized Structures. IEEE Trans. Knowl. Data Eng. 29(11): 2510-2521 (2017) - [c53]Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi:
Large Scale Kernel Methods for Online AUC Maximization. ICDM 2017: 91-100 - [c52]Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu:
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. ICDM 2017: 395-404 - [c51]Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang:
Projection-free Distributed Online Learning in Networks. ICML 2017: 4054-4062 - [c50]Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao:
Online Multitask Relative Similarity Learning. IJCAI 2017: 1823-1829 - [c49]Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun:
Locally Linear Factorization Machines. IJCAI 2017: 2294-2300 - [c48]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li:
Learning User Dependencies for Recommendation. IJCAI 2017: 2379-2385 - [c47]Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702 - [c46]Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu:
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) 2017: 769-770 - [c45]Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang:
PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) 2017: 879-880 - [i13]Peng Yang, Peilin Zhao, Xin Gao:
Robust Online Multi-Task Learning with Correlative and Personalized Structures. CoRR abs/1706.01824 (2017) - [i12]Peng Yang, Peilin Zhao, Xin Gao, Yong Liu:
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. CoRR abs/1707.00536 (2017) - 2016
- [j14]Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhiyong Liu:
Large Scale Online Kernel Learning. J. Mach. Learn. Res. 17: 47:1-47:43 (2016) - [j13]Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Passive-Aggressive Active learning. Mach. Learn. 103(2): 141-183 (2016) - [j12]Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li:
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. PLoS Comput. Biol. 12(2) (2016) - [j11]Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Soft Confidence-Weighted Learning. ACM Trans. Intell. Syst. Technol. 8(1): 15:1-15:32 (2016) - [j10]Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu:
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval. IEEE Trans. Knowl. Data Eng. 28(2): 454-467 (2016) - [c44]Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online ARIMA Algorithms for Time Series Prediction. AAAI 2016: 1867-1873 - [c43]Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao:
Cost Sensitive Online Multiple Kernel Classification. ACML 2016: 65-80 - [c42]Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim:
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. CIKM 2016: 1161-1170 - [c41]Giduthuri Sateesh Babu, Peilin Zhao, Xiaoli Li:
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life. DASFAA (1) 2016: 214-228 - [c40]Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li:
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. EMNLP 2016: 1817-1826 - [c39]Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang:
SOAL: Second-Order Online Active Learning. ICDM 2016: 931-936 - [c38]Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee:
ROM: A Robust Online Multi-task Learning Approach. ICDM 2016: 1341-1346 - [c37]Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li:
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. ICML 2016: 1660-1669 - [c36]Guimei Liu, Tam T. Nguyen, Gang Zhao, Wei Zha, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Wei Chen:
Repeat Buyer Prediction for E-Commerce. KDD 2016: 155-164 - [c35]Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao:
Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. SDM 2016: 540-548 - [c34]Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli:
Learning Correlative and Personalized Structure for Online Multi-Task Classification. SDM 2016: 666-674 - [c33]Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Sparse Passive Aggressive Learning with Kernels. SDM 2016: 675-683 - [c32]Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li:
Efficient Multi-Class Selective Sampling on Graphs. UAI 2016 - [i11]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
Adaptive Subgradient Methods for Online AUC Maximization. CoRR abs/1602.00351 (2016) - [i10]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li:
Learning Optimal Social Dependency for Recommendation. CoRR abs/1603.04522 (2016) - [i9]Chenghao Liu, Tao Jin, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
Online Bayesian Collaborative Topic Regression. CoRR abs/1605.08872 (2016) - 2015
- [c31]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
An Adaptive Gradient Method for Online AUC Maximization. AAAI 2015: 2568-2574 - [c30]Peng Yang, Peilin Zhao:
A Min-Max Optimization Framework For Online Graph Classification. CIKM 2015: 643-652 - [c29]Shuji Hao, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao:
Learning Relative Similarity from Data Streams: Active Online Learning Approaches. CIKM 2015: 1181-1190 - [c28]Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li:
An Aggressive Graph-Based Selective Sampling Algorithm for Classification. ICDM 2015: 509-518 - [c27]Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li:
Sparse Online Relative Similarity Learning. ICDM 2015: 529-538 - [c26]Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi:
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. ICDM 2015: 649-658 - [c25]Peilin Zhao, Tong Zhang:
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization. ICML 2015: 1-9 - [c24]Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li:
Adaptive Stochastic Alternating Direction Method of Multipliers. ICML 2015: 69-77 - [c23]Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao:
A Boosting Algorithm for Item Recommendation with Implicit Feedback. IJCAI 2015: 1792-1798 - [c22]Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li:
Online Learning to Rank for Content-Based Image Retrieval. IJCAI 2015: 2284-2290 - [c21]Shuji Hao, Steven C. H. Hoi, Chunyan Miao, Peilin Zhao:
Active Crowdsourcing for Annotation. WI-IAT (2) 2015: 1-8 - [i8]Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi:
A Framework of Sparse Online Learning and Its Applications. CoRR abs/1507.07146 (2015) - [i7]Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao:
Budget Online Multiple Kernel Learning. CoRR abs/1511.04813 (2015) - 2014
- [j9]Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin Li:
Online Transfer Learning. Artif. Intell. 216: 76-102 (2014) - [j8]Steven C. H. Hoi, Jialei Wang, Peilin Zhao:
LIBOL: a library for online learning algorithms. J. Mach. Learn. Res. 15(1): 495-499 (2014) - [j7]Hao Xia, Steven C. H. Hoi, Rong Jin, Peilin Zhao:
Online Multiple Kernel Similarity Learning for Visual Search. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 536-549 (2014) - [j6]Jialei Wang, Peilin Zhao, Steven C. H. Hoi, Rong Jin:
Online Feature Selection and Its Applications. IEEE Trans. Knowl. Data Eng. 26(3): 698-710 (2014) - [j5]Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 26(10): 2425-2438 (2014) - [c20]Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi:
Learning Relative Similarity by Stochastic Dual Coordinate Ascent. AAAI 2014: 2142-2148 - [c19]Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Passive Aggressive Active Learning and Its Applications. ACML 2014 - [c18]Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi:
High-Dimensional Data Stream Classification via Sparse Online Learning. ICDM 2014: 1007-1012 - [i6]Peilin Zhao, Tong Zhang:
Stochastic Optimization with Importance Sampling. CoRR abs/1401.2753 (2014) - [i5]Peilin Zhao, Tong Zhang:
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling. CoRR abs/1405.3080 (2014) - 2013
- [j4]