Selected List. See google scholar for most up-to-date full list of papers

Preprints

• BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
  Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi
  ICML, 2022 [paper] [code] [blog]

• ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  G Woo, C Liu, D Sahoo, A Kumar, S Hoi
  arXiv, 2022

• Learning Fast and Slow for Online Time Series Forecasting
  Q Pham, C Liu, D Sahoo, SCH Hoi
  arXiv, 2022

• Align and Prompt: Video-and-Language Pre-training with Entity Prompts
  Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven Hoi
  CVPR, 2022 [paper] [Code]

• CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
  G Woo, C Liu, D Sahoo, A Kumar, SCH Hoi
  ICLR, 2022

2021

• Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
  Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Hoi,
  NeurIPS (spotlight), 2021 [paper] [blog] [Code]

• DualNet: Continual Learning, Fast and Slow
  Q Pham, C Liu, SCH Hoi
  NeurIPS, 2021

• A theory-driven self-labeling refinement method for contrastive representation learning
  P Zhou, C Xiong, X Yuan, SCH Hoi
  NeurIPS, 2021

• CoMatch: Semi-supervised Learning with Contrastive Graph Regularization.
  Junnan Li, Caiming Xiong, Steven C.H. Hoi
  ICCV, 2021 [paper] [blog] [Code]

• Learning from Noisy Data with Robust Representation Learning
  Junnan Li, Caiming Xiong, Steven C.H. Hoi
  ICCV, 2021 [paper] [Code]

• MoPro: Webly Supervised Learning with Momentum Prototypes
  Junnan Li, Caiming Xiong, Steven C.H. Hoi
  ICLR, 2021 [paper] [blog] [Code]

• Prototypical Contrastive Learning of Unsupervised Representations.
  Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C.H. Hoi.
  ICLR, 2021. [ blog ]

• Online Learning: A Comprehensive Survey,
  Steven C.H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao,
  Neurocomputing, vol. 459, pp 249-289, 2021.

• Deep learning for person re-identification: A survey and outlook
  M Ye, J Shen, G Lin, T Xiang, L Shao, SCH Hoi
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 391, 2021

2020

• Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael Lyu, Steven C.H. Hoi. The 58th annual meeting of the Association for Computational Linguistics (ACL), 2020. To Appear.

• Video-Grounded Dialogues with Pretrained Generation Language Models. Hung Le, Steven C.H. Hoi. The 58th annual meeting of the Association for Computational Linguistics (ACL), 2020. To Appear.

• Photon: A Robust Cross-Domain Text-to-SQL System. Jichuan Zeng*, Xi Victoria Lin*, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C.H. Hoi. The 58th annual meeting of the Association for Computational Linguistics (ACL), System Demonstration, 2020. To Appear.

• Non-Autoregressive Dialog State Tracking, Hung Le, Richard Socher, Steven C.H. Hoi, The International Conference on Learning Representations (ICLR), 2020. [ code ]

• DivideMix: Learning with Noisy Labels as Semi-supervised Learning, Junnan Li, Richard Socher, Steven C.H. Hoi, The International Conference on Learning Representations (ICLR), 2020. [ code ]

• Tree-Structured Attention with Hierarchical Accumulation, Xuan-Phi Nguyen, Shafiq Joty, Steven C.H. Hoi, Richard Socher, The International Conference on Learning Representations (ICLR), 2020.

• Learning Video Object Segmentation from Unlabeled Videos, X. Lu, W. Wang , J. Shen, Y.-W. Tai, D. Crandall and S.C.H. Hoi. CVPR, 2020.

• Disparity-Aware Domain Adaptation in Stereo Image Restoration. B. Yan, C. Ma, B. Bare, W. Tan, and S.C.H. Hoi, CVPR, 2020.

• Deep Learning for Image Super-resolution: A Survey, Zhihao Wang, Jian Chen, Steven CH Hoi, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

• Paying Attention to Video Object Pattern Understanding, W. Wang, J. Shen, X. Lu, S.C.H. Hoi, H Ling, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

• Recent Advances in Deep Learning for Object Detection, Xiongwei Wu, Doyen Sahoo, Steven CH Hoi. Neurocomputing, 2020.

2019

• Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems, Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C.H. Hoi, The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.

• FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging, ​Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019

• Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images, Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim and Steven Hoi, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Dynamic Fusion with Intra-and Inter-Modality Attention Flow for Visual Question Answering, P Gao, Z Jiang, H You, P Lu, S Hoi, X Wang, H Li, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Salient Object Detection with Pyramid Attention and Salient Edges, Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Learning Unsupervised Video Object Segmentation through Visual Attention, Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Compositional Coding for Collaborative Filtering, Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven CH Hoi, The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019.

• Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach, C Zhang, SCH Hoi, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.

• Discrete Social Recommendation, C Liu, X Wang, T Lu, W Zhu, J Sun, SCH Hoi, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.

• Robust Estimation of Similarity Transformation for Visual Object Tracking, Y Li, J Zhu, SCH Hoi, W Song, Z Wang, H Liu, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.

2018

• Online Deep Learning: Learning Deep Neural Networks on the Fly, D Sahoo, Q Pham, J Lu, SCH Hoi, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI). Pages 2660-2666. 2018.

• Question-guided hybrid convolution for visual question answering, P Gao, H Li, S Li, P Lu, Y Li, SCH Hoi, X Wang, Proceedings of the European Conference on Computer Vision (ECCV), 469-485. 2018.

• Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points, C Liu, T Zhang, P Zhao, J Sun, SCH Hoi, Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.

• Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions, X Yang, Z Zeng, SG Teo, L Wang, V Chandrasekhar, S Hoi, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2018.

• Distributed multi-task classification: A decentralized online learning approach, C Zhang, P Zhao, S Hao, YC Soh, BS Lee, C Miao, SCH Hoi, Machine Learning, 107 (4), 727-747, 2018.

• Second-order online active learning and its applications, S Hao, J Lu, P Zhao, C Zhang, SCH Hoi, C Miao, IEEE Transactions on Knowledge and Data Engineering (TKDE), 30 (7), 1338-1351, 2018.

• Face detection using deep learning: An improved faster rcnn approach, X Sun, P Wu, SCH Hoi, Neurocomputing, 299, 42-50, 2018.

• Multi-target deep neural networks: Theoretical analysis and implementation, Z Zeng, N Liang, X Yang, S Hoi, Neurocomputing 273, 634-642, 2018.

• Online Active Learning with Expert Advice, S Hao, P Hu, P Zhao, SCH Hoi, C Miao, ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (5), 58, 2018

• Sparse passive-aggressive learning for bounded online kernel methods, J Lu, D Sahoo, P Zhao, SCH Hoi, ACM Transactions on Intelligent Systems and Technology (TIST) 9 (4), 45, 2018.

• Combination forecasting reversion strategy for online portfolio selection, D Huang, S Yu, B Li, SCH Hoi, S Zhou, ACM Transactions on Intelligent Systems and Technology (TIST) 9 (5), 58, 2018.

• Transaction cost optimization for online portfolio selection, B Li, J Wang, D Huang, SCH Hoi, Quantitative Finance, 18 (8), 1411-1424, 2018.

• Online portfolio selection: principles and algorithms, B Li, SCH Hoi, CRC Press, 2018. [ Amazon ]

2017

• Projection-free Distributed Online Learning in Networks, Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang, The 34th International Conference on Machine Learning (ICML2017) , Sydney, NSW, Australia 6-11 August 2017 [ PDF, BibTeX ]

• DeepFacade: A Deep Learning Approach to Facade Parsing, Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi, The Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017) Melbourne, Australia August 19-25 2017 [ PDF, BibTeX ]

• Online Multitask Relative Similarity Learning, Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao, The Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017) Melbourne, Australia August 19-25 2017 [ PDF, BibTeX ]

• Learning Personalized Preference of Strong and Weak Ties for Social Recommendation, Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen, The 26th International Conference on World Wide Web (WWW2017), Australia, April 3-7, 2017 [ PDF, BibTeX ]

• Interactive Social Recommendation, Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester, The 26th ACM International Conference on Information and Knowledge Management (CIKM2017) Singapore November 6-10, 2017 [ PDF, BibTeX ]

• 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, 106(5) 651-670 2017 [ PDF, BibTeX, Webpage ]

• Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data, Yue Wu, Steven C. H. Hoi, Tao Mei, Nenghai YuACM Transactions on Knowledge Discovery from Data (TKDD) 11(4) 48:1-48:22 2017 [ PDF, BibTeX, Project ]

• Sparse Online Learning of Image Similarity, Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Jianshe Zhou, Ji Wan, Zhenyu Chen, Jintao Li, Jianke ZhuACM Transactions on Intelligent Systems and Technology (ACM TIST) 8(5) 64:1-64:22 2017 [ PDF, BibTeX, Project ]

• SOL: A library for scalable online learning algorithms, Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu, Neurocomputing 260 9-12 2017 [ PDF, Project , GitHub ]

• HDIdx: High-Dimensional Indexing for Efficient Approximate Nearest Neighbor Search, Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi, Neurocomputing 237 401-404 2017 [ PDF, BibTeX, Project , GitHub ]

• Scalable Image Retrieval by Sparse Product Quantization, Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen, IEEE Transactions on Multimedia (IEEE TMM) 19(3) 586-597 2017 [ PDF, BibTeX ]

• Malicious URL Detection using Machine Learning: A Survey D Sahoo, C Liu, SCH Hoi, arXiv preprint arXiv:1701.07179, 2017.

2016

• Online ARIMA Algorithms for Time Series Prediction, Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun Proceedings of Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) Phoenix, Arizona USA February 12–17, 2016 [ PDF, BibTeX , supplement, Webpage]

• Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications, Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng LimThe 25th ACM International Conference on Information and Knowledge Management (CIKM 2016) Indianapolis, IN, USA Oct 24-28, 2016 [ PDF, BibTeX , Project ]

• Mobile App Tagging, Ning Chen*, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao The 9th ACM International Conference on Web Search and Data Mining (WSDM2016) San Francisco, California, USA February 22-25, 2016 [ PDF, BibTeX , Webpage]

• Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Steven C.H. HoiJMLR Workshop and Conference Proceedings (ACML2016) 63 65-80 2016 [ PDF, abstract, BibTeX ]

• SOAL: Second-order Online Active Learning, Shuji Hao, Peilin Zhao, Jing Lu, Steven C.H. Hoi, Chunyan Miao, Chi Zhang, IEEE International Conference on Data Mining (ICDM2016) Barcelona Dec 12-15, 2016PDF, BibTeX

• Online Sparse Passive Aggressive Learning with Kernels, Jing Lu, Peilin Zhao, Steven C.H. HoiSIAM International Conference on Data Mining (SDM2016) Miami, Florida, USA 5-7 May, 2016PDF, BibTeX

• Temporal Kernel Descriptors for Learning with Time-sensitive Patterns, Doyen Sahoo, Abhishek Sharmay, Steven C.H. Hoi, Peilin ZhaoSIAM International Conference on Data Mining (SDM2016) Miami, Florida, USA 5-7 May, 2016PDF, BibTeX

• An Efficient Multi-Class Selective Sampling Algorithm on Graphs, Yang Peng, Peilin Zhao, Hai Zhen, Wei Liu , Steven C.H. Hoi, Xiao-Li LiThe Conference on Uncertainty in Artificial Intelligence (UAI2016) New York, NY, USA 25-29 June, 2016PDF, BibTeX

• On Effective Personalized Music Retrieval by Exploring Online User Behaviors, Zhiyong Cheng, Jialie Shen, Steven C.H. HoiACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2016) Pisa, Tuscany, Italy 17-21 July, 2016PDF, BibTeX

• Large Scale Online Kernel Learning, Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhi-Yong LiuJournal of Machine Learning Research (JMLR) 17(47) 1-43 2016PDF, BibTeX, Webpage, Project

• Online Passive-Aggressive Active learning, Jing Lu, Peilin Zhao, Steven C. H. HoiMachine Learning 103(2) 141-183 2016PDF, BibTeX, abstract

• Online Multi-modal Distance Metric Learning with Application to Image Retrieval, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhi-Yong LiuIEEE Transactions on Knowledge and Data Engineering (TKDE) 28(2) 454-467 2016.PDF, BibTeX, abstract, Webpage

• OLPS: A Toolbox for On-Line Portfolio Selection, Bin LI, Doyen Sahoo, Steven C. H. HoiJournal of Machine Learning Research (JMLR) 17(35) 1-5 2016PDF, BibTeX, Project , GitHub

• Soft Confidence-Weighted Learning, Jialei Wang, Peilin Zhao, Steven C. H. HoiACM Transactions on Intelligent Systems and Technology (ACM TIST) 8(1) 15:1-15:32 2016PDF, BibTeX, Project

• Robust Median Reversion Strategy for Online Portfolio Selection, Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng ZhouIEEE Transactions on Knowledge and Data Engineering(IEEE TKDE) 28(9) 2480-2493 2016PDF, BibTeX, Project

2015

• Online Portfolio Selection: Principles and Algorithms, Bin Li, Steven C. H. HoiCRC Press November 5, 2015 (212 Pages, ISBN 9781482249637)BibTeX, Project, CRC Book Webpage, Available on Amazon

• Online Learning to Rank for Content-Based Image Retrieval, Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao LiProceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI2015) Buenos Aires, Argentina July 25-31, 2015PDF, BibTeX

• Semi-Universal Portfolios with Transaction Costs, Dingjiang Huang, Yan Zhu, Bin Li, Shuigeng Zhou, Steven C. H. HoiProceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI2015) Buenos Aires, Argentina July 25-31, 2015PDF, BibTeX , Project

• SOLAR: Scalable Online Learning Algorithms for Ranking, Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. HoiThe 53rd annual meeting of the Association for Computational Linguistics (ACL2015) Beijing, China July 26-31, 2015 (oral, long paper)PDF, BibTeX

• SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning, Ning Chen*, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao The Eighth ACM International WSDM Conference (WSDM2015) Shanghai, China January 31 – Feb 6, 2015PDF, BibTeX , Webpage (Code+Dataset)

• Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications, Peilin Zhao, Furen Zhuang, Min Wu, Xiao-Li Li, Steven C.H. HoiIEEE International Conference on Data Mining (ICDM2015) Atlantic City, NJ, USA Nov 14-17, 2015PDF, BibTeX

• Learning Relative Similarity from Data Streams: An Active Online Learning Approach, Shuji Hao, Peilin Zhao, Steven C.H. Hoi, Chunyan Miao24th ACM International Conference on Information and Knowledge Management (CIKM2015) Melbourne, Australia Oct 19-23, 2015PDF, BibTeX

• An Adaptive Gradient Method for Online AUC Maximization, Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong Proceedings of The Twenty-Ninth AAAI Conference (AAAI15) Austin Texas, USA January 25–30, 2015PDF, BibTeX

• Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches, Yang Li, Jianke Zhu, Steven C.H. HoiProceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015) Boston, USA June 8--10, 2015PDF, BibTeX

• Fast Object Retrieval Using Direct Spatial Matching, Zhiyuan Zhong, Jianke Zhu, Steven C. H. HoiIEEE Transactions on Multimedia 17(8) 1391-1397 2015.PDF, BibTeX,

• Moving Average Reversion Strategy for On-Line Portfolio Selection, Bin Li, Steven C.H. Hoi, Doyen Sahoo, Zhi-Yong LiuArtificial Intelligence (AIJ) 222 104-123 2015.PDF, BibTeX, abstract, Project

2014

• LIBOL: a Library for Online Learning Algorithms, Steven C. H. Hoi, Jialei Wang^, Peilin Zhao*Journal of Machine Learning Research (JMLR) 15(1) 495-499 2014PDF, BibTeX, abstract, Project

• Online Portfolio Selection: A Survey, Bin Li* and Steven C.H. HoiACM Computing Surveys (CSUR) 46(3) 35:1--35:36 2014PDF, BibTeX, abstract, Project

• Online Transfer Learning, Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin LiArtificial Intelligence 216 76-102 2014PDF, BibTeX, abstract, Project

• Online Multiple Kernel Similarity Learning for Visual Search, Hao Xia, Steven C.H. Hoi, Rong Jin, Peilin ZhaoIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 36(3) 536-549 2014PDF, BibTeX, abstract, Project

• Retrieval-based Face Annotation by Weak Label Regularized Local Coordinate Coding, Dayong Wang*, Steven C.H. Hoi, Ying He, Jianke Zhu, Tao Mei, Jiebo LuoIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 36(3) 550-563 2014PDF, BibTeX, abstract, Project

• Cost-Sensitive Online Classification, Jialei Wang^, Peilin Zhao*, Steven C.H. Hoi IEEE Transactions on Knowledge and Data Engineering (TKDE) 26(10) 2425-2438 2014PDF, BibTeX, abstract, Webpage, Project

• Online Feature Selection and Its Applications, Jialei Wang^, Peilin Zhao*, Steven C.H. Hoi, Rong Jin IEEE Transactions on Knowledge and Data Engineering (TKDE) 26(3) 698-710 2014PDF, BibTeX, abstract, Code & Data, Web

• Mining Weakly-Labeled Web Facial Images for Search-Based Face Annotation, Dayong Wang*, Steven C.H. Hoi, Ying He, Jianke ZhuIEEE Transactions on Knowledge and Data Engineering (TKDE) 26(1) 166-179 2014PDF, BibTeX, abstract, Project

• Collaborative Online Multitask Learning, Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Wenting Liu, Ramesh JainIEEE Transactions on Knowledge and Data Engineering (TKDE) 26(8) 1866-1876 2014PDF, BibTeX,

• Graph Matching by Simplified Convex-Concave Relaxation Procedure, Zhiyong Liu, Hong Qiao, Xu Yang, Steven C. H. HoiInternational Journal of Computer Vision (IJCV) 109(3) 169-186 2014PDF, BibTeX,

• Deep Learning for Content-Based Image Retrieval: A Comprehensive Study, Ji Wan, Dayong Wang, Steven C.H. Hoi, P. Wu, J. Zhu, Y. Zhang, J. LiProceedings of ACM Multimedia Conference (MM2014) Orlando, FL, USA November 3-7, 2014PDF, BibTeX

• Online Multiple Kernel Regression, Doyen Sahoo, Steven C. H. Hoi, Bin Li Proceedings of ACM SIGKDD Conference (KDD2014) New York City, New York, USA August 24 - 27, 2014PDF, BibTeX

• Learning Relative Similarity by Stochastic Dual Coordinate Ascent, Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. HoiProceedings of AAAI 2014 Québec City, Québec, Canada July 27 -31, 2014PDF, BibTeX

• SOML: Sparse Online Metric Learning with Application to Image Retrieval, Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Ji Wan, Jintao LiProceedings of AAAI 2014 Québec City, Québec, Canada July 27 -31, 2014PDF, BibTeX

• AR-miner: mining informative reviews for developers from mobile app marketplace, Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang36th International Conference on Software Engineering (ICSE'14) Hyderabad, India May 31 - June 07, 2014PDF, BibTeX

• Online Passive Aggressive Active Learning and Its Applications, Peilin Zhao, Steven C.H. Hoi, Jing LuThe 6th Asian Conference on Machine Learning (ACML2014) Nha Trang, Vietnam November 26-28, 2014("Best Runner-up Paper Award")PDF, BibTeX

2013

Conference Papers

• Online Multimodal Deep Similarity Learning with Application to Image Retrieval, Pengcheng Wu*, Steven C.H. Hoi, Hao Xia*, Peilin Zhao*, Dayong Wang*, Chunyan Miao Proceedings of the 21st ACM international conference on Multimedia (MM2013) Barcelona, Spain October 21-25, 2013 20%PDF, BibTeX

• Second Order Online Collaborative Filtering, Jing Lu, Steven C.H. Hoi, Jialei Wang^, Peilin Zhao*Journal of Machine Learning Research - Proceedings Track (ACML2013) Canberra, Australia November 13-15, 2013PDF, BibTeX

• Online Multi-Task Collaborative Filtering for On-the-Fly Recommender SystemsJialei Wang^, Steven C.H. Hoi, Peilin Zhao*, Zhi-yong LiuThe ACM International Conference on Recommender Systems (RecSys2013) Hong Kong October 12-16, 2013 (oral) 34/143=23%PDF, BibTeX

• Large Scale Online Kernel ClassificationJialei Wang^, Steven C.H. Hoi, Peilin Zhao*, Jinfeng Zhuang*, Zhi-yong LiuThe 23rd International Joint Conference on Artificial Intelligence (IJCAI2013) Beijing, China August 3-9, 2013 (oral)413/1473=28%PDF, BibTeX, Code, Project

• Robust Median Reversion Strategy for On-Line Portfolio SelectionDingjiang Huang^, Junlong Zhou, Bin Li*, Steven C.H. Hoi, Shuigeng Zhou The 23rd International Joint Conference on Artificial Intelligence (IJCAI2013) Beijing, China August 3-9, 2013 413/1473=28%PDF, BibTeX, Code, Project

• Cost-Sensitive Online Active Learning with Application to Malicious URL DetectionPeilin Zhao*, Steven C.H. HoiThe 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Chicago, US 11-14 August, 2013 126/726=17.4%PDF, BibTeX, Code, Project

• Active Learning with Expert AdvicePeilin Zhao*, Steven C.H. Hoi, Jinfeng ZhuangThe Conference on Uncertainty in Artificial Intelligence (UAI2013) Bellevue, Washington, USA 11-15 July, 2013 (oral)73/233=31% PDF, BibTeX,

• Learning to Name Faces: A Multimodal Learning Scheme for Search-Based Face AnnotationDayong Wang*, Steven C.H. Hoi, Pengcheng Wu*, Jianke Zhu, Ying He, Chunyan MiaoThe 36th Annual ACM SIGIR Conference (SIGIR2013) Dublin, Ireland 28 July - 1 August, 2013 (oral) 73/366=19.9% PDF, BibTeX, Project

• FANS: Face Annotation by Searching Large-scale Web Facial ImagesSteven C.H. Hoi, Dayong Wang, I Yeu Cheng, Elmer Weijie Lin, Jianke Zhu, Ying He, Chunyan MiaoThe 22nd International World Wide Web Conference (WWW2013) Rio de Janeiro, Brazil 13th-17th May, 2013 (demo track) 22/78=28%PDF, BibTeX, DEMO, Project

• Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly DetectionPeilin Zhao*, Steven C.H. HoiSIAM International Conference on Data Mining (SDM2013) Austin, Texas, USA 2-4 May, 2013. 89/348 = 25.5% PDF, BibTeX,

• Online Multi-modal Distance Learning for Scalable Multimedia RetrievalHao Xia*, Pengcheng Wu*, Steven C.H. HoiACM International Conference on Web Search and Data Mining (WSDM2013) Rome 4-8 Feb, 2013 73/387=18%,oral:30/387=8%PDF, BibTeX,

Journal Articles

• Online Multiple Kernel ClassificationSteven C.H. Hoi, Rong Jin, Peilin Zhao*, Tianbao YangMachine Learning vol. 90, no. 2, 289-316, 2013. (In press)PDF, BibTeX, abstract, Code & Data , Project

• Confidence Weighted Mean Reversion Strategy for On-Line Portfolio SelectionBin Li*, Steven C.H. Hoi, Peilin Zhao*, Vivek GopalkrishnanACM Transactions on Knowledge Discovery from Data (TKDD) vol. 7, no. 1, 4, 2 013 (A short version also appeared in AISTATS'11)PDF, BibTeX, abstract, Code & Data , Project

• MKBoost: A Framework of Multiple Kernel BoostingHao Xia*, Steven C.H. HoiIEEE Transactions on Knowledge and Data Engineering (TKDE) vol. 25, no.7, 1574-1586, 2013 (A short version also appeared in SDM'11.)PDF, BibTeX, abstract, Project

• Classification in P2P Networks with Cascade Support Vector MachinesHock Hee Ang, Vivekanand Gopalkrishnan, Steven C.H. Hoi, Wee Keong NgACM Transactions on Knowledge Discovery from Data (TKDD) vol. X, no. X X-X 2013 PDF, BibTeX,

• Beta Atomic Contacts: Identifying Critical Specific Contacts in Protein Binding InterfacesQian Liu*, Chee Keong Kwoh, Steven C.H. Hoi,PLOS ONE vol. X, no. X X-X 2013 (To appear)PDF, BibTeX,

• Software Process Evaluation: A Machine Learning Framework with Application to Defect Management ProcessNing Chen*, Steven C.H. Hoi, Xiaokui Xiao Empirical Software Engineering vol. X, no. X X-X 2013 (A short version also appeared in ASE'11)PDF, BibTeX, Project

2012

Conference Papers

• Exact Soft Confidence-Weighted LearningJielei Wang^, Peilin Zhao*, Steven C.H. HoiThe 29th International Conference on Machine Learning (ICML2012) Edinburgh, Scotland June 26 - July 1, 2012PDF, BibTeX, abstract, Project

• Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online LearningPeilin Zhao*, Jielei Wang^, Steven C.H. Hoi, Rong Jin, Pengcheng Wu*The 29th International Conference on Machine Learning (ICML2012) Edinburgh, Scotland June 26 - July 1, 2012PDF, BibTeX, abstract , Project

• On-Line Portfolio Selection with Moving Average ReversionBin Li*, Steven C.H. HoiThe 29th International Conference on Machine Learning (ICML2012) Edinburgh, Scotland June 26 - July 1, 2012PDF, BibTeX, abstract, Project

• Cost-Sensitive Online ClassificationJialei Wang^, Peilin Zhao*, Steven C.H. Hoi, IEEE International Conference on Data Mining (ICDM2012) Brussels Dec 10-13, 2012.PDF, BibTeX, Project

• PAMR: Passive-Aggressive Mean Reversion Strategy for Portfolio SelectionBin Li*, Peilin Zhao*, Steven C.H. Hoi, Vivekanand Gopalkrishnan Machine Learning vol. 87, no. 2 221-258 2012PDF, BibTeX, abstract, Code & Data , Project

• Boosting Multi-Kernel Locality-Sensitive Hashing for Scalable Image RetrievalHao Xia*, Steven C.H. Hoi, Pengcheng Wu*, Rong JinThe 35th Annual International ACM SIGIR Conference (SIGIR2012) Portland, Oregon, USA 12-16 August, 2012 98/483=20%PDF, BibTeX,

• BDUOL: Double Updating Online Learning on a Fixed BudgetPeilin Zhao*, Steven C.H. HoiThe European Conference on Machine Learning (ECML-PKDD'12) Bristol, UK 24th-28th, September 2012 105/443=23.7%PDF,slides, poster,BibTeX,

• A Unified Learning Framework for Auto Face Annotation by Mining Web Facial ImagesDayong Wang*, Steven C.H. Hoi, Ying HeThe 21st ACM Conference on Information and Knowledge Management (CIKM2012) Hawaii, USA Oct, 2012 146/1088=13.4%PDF, BibTeX,

• Online Kernel Selection: Algorithms and EvaluationsTianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C.H. HoiThe Twenty-Sixth Conference on Artificial Intelligence (AAAI-2012) Toronto, Ontario, Canada July, 2012PDF, BibTeX,

• Online Feature Selection for Big Data MiningSteven C.H. Hoi, Jialei Wang*, Peilin Zhao*, Rong JinThe 1st ACM SIGKDD Workshop on Big Data Mining (BigMine) Beijing, P.R. China Aug,2012PDF, BibTeX,

Journal Articles

• Learning Bregman Distance Functions for Semi-Supervised ClusteringLei Wu^, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai YuIEEE Transactions on Knowledge and Data Engineering (TKDE) vol. 24, no. 3 478-491 2012 (A short version also appeared in NIPS'09).PDF, BibTeX, abstract, Project

• Modeling and Compressing 3-D Facial Expressions Using Geometry VideosJiazhi Xia, Dao Thi Phuong Quynh*, Ying He, XiaoMing Chen, Steven C. H. HoiIEEE Trans. Circuits Syst. Video Techn. (TCSVT) vol. 22, no. 1 77-90 2012PDF, BibTeX, abstract

• Predictive Handling of Asynchronous Concept Drifts in Distributed EnvironmentsH.H. Ang*, Vivek Gopalkrishnan, I. Zliobaite, Mykola Pechenizkiy, Steven C.H. HoiIEEE Transactions on Knowledge and Data Engineering (TKDE) 2012 (In press)PDF, BibTeX,

• Introduction to the Special Section on Distance Metric Learning in Intelligent SystemsSteven C. H. Hoi, Rong Jin, Jinhui Tang, Zhi-Hua ZhouACM Transactions on Intelligent Systems and Technology (TIST) vol. 3, no. 3 52 2012PDF, BibTeX, abstract

• B-cell Epitope Prediction through a Graph ModelLiang Zhao*, Limsoon Wong, L. Lu, Steven C.H. Hoi, J. LiBMC Bioinformatics vol. X, no. X XX 2013 (In Press)PDF, BibTeX, abstract

• Structural and functional analysis of multi-interface domainsLiang Zhao*, Steven C.H. Hoi, Limsoon Wong, T. Hamp, B. Rost, J. LiPLOS ONE vol. X, no. X XX 2013PDF, BibTeX, abstract

2011

Conference Papers

• Modeling Social Strength in Social Media Community via Kernel-based LearningJinfeng Zhuang*, Tao Mei, Steven C.H. Hoi, Xian-Sheng Hua, Shipeng LiThe 19th International Conference on Multimedia (MM2011) Scottsdale, Arizona, USA Nov 28 - Dec 1, 2011 17% PDF(corrected version), BibTeX

• Retrieval-based Face Annotation by Weak Label Regularized Local Coordinate CodingDayong Wang*, Steven C.H. Hoi, Ying HeThe 19th International Conference on Multimedia (MM2011) Scottsdale, Arizona, USA Nov 28 - Dec 1, 2011 17% PDF, BibTeX

• Modeling 3D Articulated Motions with Conformal Geometry VideosD. Quynh*, Y. He, X. Chen, J. Xia, Q. Sun, and S.C.H. HoiThe 19th International Conference on Multimedia (MM2011) Scottsdale, Arizona, USA Nov 28 - Dec 1, 2011 17% PDF, BibTeX

• SIRE: Social Image Retrieval EngineSteven C.H. Hoi and Pengcheng Wu*The 19th International Conference on Multimedia (MM2011) Scottsdale, Arizona, USA Nov 28 - Dec 1, 2011 demo paperPDF, BibTeX, DEMO

• MKBoost: A Framework of Multiple Kernel BoostingHao Xia*, Steven C.H. HoiThe Eleventh SIAM International Conference on Data Mining (SDM 2011) Mesa, Arizona, USA 199-210 2012PDF, BibTeX, abstract, Project

• Unsupervised Multiple Kernel LearningJinfeng Zhuang*, Jialei Wang^, Steven C.H. Hoi, Xiangyang LanJournal of Machine Learning Research (JMLR), W&CP (ACML2011) vol. 20 129-144 Nov 2011PDF, BibTeX, abstract

• Mining Weakly Labeled Web Facial Images for Search-based Face AnnotationDayong Wang*, Steven C.H. Hoi, Ying HeThe 34th Annual International ACM SIGIR Conference (SIGIR2011) Beijing, China 24-28 Jul, 2011 108/545=19.8% PDF, BibTeX,

• Online AUC MaximizationPeilin Zhao*, Steven C.H. Hoi, Rong Jin, Tianbao YangThe 28th International Conference on Machine Learning (ICML2011) Bellevue, Washington June 28-July 2, 2011 152/589=25.8%PDF, BibTeX,

• When Recommendation Meets Mobile: Contextual and Personalized Recommendation On The GoJinfeng Zhuang*, Tao Mei, Steven C.H. Hoi, Ying-Qing Xu, Shipeng LiThe 13th International Conference on Ubiquitous Computing (UbiComp2011) Beijing, China Sep 17-21, 2011 50/302 = 16.6%PDF, BibTeX,

• Software Process Evaluation: A Machine Learning ApproachNing Chen*, Steven C. H. Hoi, Xiaokui XiaoThe 26th IEEE/ACM International Conference on Automated Software Engineering (ASE2011) Oread, Lawrence, Kan. Nov. 6–12, 2011 37/252 = 14.6%PDF, BibTeX,

• Two-Layer Multiple Kernel LearningJinfeng Zhuang*, Ivor Tsang, Steven C.H. HoiJournal of Machine Learning Research (JMLR), W&CP vol. 15 (AISTATS'11) 909-917 April 2011PDF, BibTeX, abstract

• Confidence Weighted Mean Reversion Strategy for On-Line Portfolio SelectionBin Li*, Steven C.H. Hoi, Peilin Zhao*, Vivek Gopalkrishnan,Journal of Machine Learning Research (JMLR), W&CP vol. 15 (AISTATS'11) 434-442 April 2011PDF, BibTeX, abstract

• Mining Social Images with Distance Metric Learning for Automated Image TaggingPengcheng Wu*, Steven C.H. Hoi, Peilin Zhao*, Ying HeThe fourth ACM International Conference on Web Search and Data Mining (WSDM2011) Hong Kong, China 2011 32/372=8.6%, oralPDF, BibTeX

• A Two-View Learning Approach for Image Tag RankingJinfeng Zhuang*, Steven C.H. HoiThe fourth ACM International Conference on Web Search and Data Mining (WSDM2011) Hong Kong, China 2011 51/372=13.7%PDF, BibTeX

• Randomly Projected KD-Trees with Distance Metric Learning for Image RetrievalPengcheng Wu*, Steven C.H. Hoi, Nguyen Duc Dung*, He YingInternational Conference on Multimedia Modeling (MMM2011) Taipei, Taiwan 2011PDF, BibTeX

• An Effective Approach to Pose Invariant 3D Face RecognitionDayong Wang*, Steven C.H. Hoi, He YingInternational Conference on Multimedia Modeling (MMM2011) Taipei, Taiwan 2011PDF, BibTeX

Journal Articles

• Social Media Modeling and ComputingSteven C. H. Hoi, Jiebo Luo, Susanne Boll, Dong Xu, Rong Jin (Editors)Springer-Verlag 2011Web, Table of Contents, BibTeX

• Double Updating Online LearningPeilin Zhao*, Steven C.H. Hoi, Rong JinJournal of Machine Learning Research (JMLR) vol. 12 1587-1615 May 2011PDF, BibTeX, abstract, CODE, Project

• A Family of Simple Non-Parametric Kernel Learning AlgorithmsJinfeng Zhuang*, Ivor Tsang, Steven C.H. HoiJournal of Machine Learning Research (JMLR) vol. 12 1313−1347 April 2011PDF, BibTeX, abstract

• Distance Metric Learning from Uncertain Side Information for Automated Photo TaggingLei Wu^, Steven C.H. Hoi, Rong Jin, Jianke Zhu, Nenghai YuACM Transactions on Intelligent Systems and Technology (TIST) vol. 2, no. 2 13:1-13:28 2011PDF, BibTeX, abstract

• CORN : Correlation-driven Nonparametric Learning Approach for Portfolio SelectionBin Li*, Steven C.H. Hoi, Vivek Gopalkrishnan,ACM Transactions on Intelligent Systems and Technology (TIST) vol. 2, no. 3 21:1--21:29 2011PDF, BibTeX, abstract

• Spectral Geometry Image: Image Based 3D Models for Digital Broadcasting ApplicationsBoon-Seng Chew, Lap-Pui Chau, Ying He, Dayong Wang, Steven C. H. HoiIEEE Transactions on Broadcasting vol. 57, no. 3 636-645 2011PDF, BibTeX, abstract

• Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding?Q. Liu, S.C.H. Hoi, C.T.T. Su, Z. Li, C.K. Kwoh, L. Wong, J. LiBioinformatics vol. 27, no. 18 2529-2536 2011PDF, BibTeX, abstract

• Enhancing Bag-of-Words Models by Efficient Semantics-Preserving Metric LearningLei Wu^, Steven C.H. HoiIEEE Multimedia Magazine, vol. 18, no. 1 24-37 2011 (invited paper)PDF, BibTeX, abstract

2010

• "OTL: A Framework of Online Transfer Learning" Peilin Zhao and Steven C.H. Hoi, The 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, 21-24 June, 2010 (Oral, acceptance rate: 152/594=25.6%) [ PDF ] [ BibTex ]

• "Online Multiple Kernel Learning: Algorithms and Mistake Bounds" Rong Jin, Steven C. H. Hoi, Tianbao Yang, The 21st International Conference on Algorithmic Learning Theory (ALT2010), Canberra, Australia, 6~8 Oct, 2010. pp. 390-404. [ PDF ] [ BibTex ]

• "Exclusive Lasso for Multi-task Feature Selection", Yang Zhou, Rong Jin, Steven C.H. Hoi, Journal Machine Learning Research, W &CP 9, vol. 9. (AISTATS 2010), Italy, May 2010. [ PDF ] [ BibTex ]

• "Two-View Transductive Support Vector Machines", Guangxia Li, Steven C.H. Hoi, Kuiyu Chang SIAM International Conference on Data Mining (SDM2010), Columbus, Ohio, 2010 (Oral, acceptance rate: 82/351=23.36%) [ PDF ] [ BibTex ]

• "Micro-blogging Sentiment Detection by Collaborative Online Learning", Guangxia Li, Steven C.H. Hoi, Kuiyu Chang Guangxia Li, Steven C.H. Hoi, Kuiyu Chang, and Ramesh Jain (ICDM2010), Sydney, Australia, 2010. (Oral, acceptance rate: 155/797=19.44%) [ PDF ] [ BibTex ]

• "Non-parametric Kernel Ranking Approach for Social Image Retrieval", Jinfeng Zhuang and Steven C.H. Hoi, ACM International Conference on Image and Video Retrieval (CIVR2010), Xian, China, 2010 (Oral) [ PDF] [ BibTex ]

• "Modeling 3D Facial Expressions using Geometry", J. Xia, Y. He, D. Quynh, X. Chen, and Steven C.H. Hoi, ACM International Conference on Multimedia (MM2010), 2010 (Oral, long paper, system track, acceptance rate: 15%) [ PDF ] [ BibTex ]

• "On Classifying Drifting Concepts in P2P Networks," Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), pp. 24-39 2010. [ PDF ] [ BibTex]

• "P2PDocTagger: Content Management through Automated P2P Collaborative Tagging," H.H. Ang, V. Gopalkrishnan, W.K. Ng, S.C.H. Hoi, International Conference on Very Large Data Bases (VLDB), 2010. (demo paper) [ PDF ] [ BibTex ]

• "Semantics-Preserving Bag-of-words Models and Applications" Lei Wu, Steven C. H. Hoi, Nenghai Yu, IEEE Transactions on Image Processing (TIP), 2010. In press. [ PDF][ BibTex ]

• "Learning Bregman Distance Functions for Semi-Supervised Clustering,"Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zu, Nenghai Yu, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2010. In press. [ PDF ][ BibTex ][ appendix-proof ]

• "A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval", L. Yang, R. Jin, L. Mummert, R. Sukthankar, A. Goode, B. Zheng, S.C.H. Hoi, M. Satyanarayanan, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 32, no. 1, pp. 30-44, 2010. [ PDF ] [ BibTex ]

• "Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval and Clustering," Steven C.H. Hoi, Wei Liu, and Shih-Fu Chang, ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP). In press. (a short version appeared in CVPR2008) [ PDF ] [ BibTex ]

• "Near-Duplicate Keyframe Retrieval by Semi-Supervised Learning and Nonrigid Image Matching," Jianke Zhu, Steven C.H. Hoi, Michael R. Lyu and Shuicheng Yan, ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), In press. (a short version appeared in MM2008) [ PDF ] [ BibTex ]

2009

• "DUOL: A Double Updating Approach for Online Learning" Peilin Zhao, Steven C.H. Hoi, Rong Jin, Advances in Neural Information Processing Systems (NIPS2009), December 7-10, 2009. [ PDF ] [ BibTex ]

• "Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering,"Lei Wu, Rong Jin, Steven C.H. Hoi, Jianke Zhu and Nenghai Yu, Advances in Neural Information Processing Systems (NIPS2009), December 7-10, 2009. [ PDF ] [ BibTex ] [ Project ]

• "Online Transfer Learning: Towards Knowledge Transfer via Online Learning" Peilin Zhao and Steven C.H. Hoi, Advances in Neural Information Processing Systems (NIPS2009) Workshop on Transfer Learning , December 7-10, 2009. [ [ PDF ] [ BibTex ]

• "Distance Metric Learning from Uncertain Side Information with Application to Automated Photo Tagging", Lei WLei Wu, Steven C.H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu,

• ACM International Conference on Multimedia (MM2009), Beijing, PR China, 19-24 Oct 2009 (full long paper, track acceptance rate: 22/138 = 16%) [ PDF] [ BibTex ]

• "Streaming 3D Meshes Using Spectral Geometry Images", Ying He, B.S. Chew, Dayong Wang, Steven C.H. Hoi, L.P. Chau, ACM International Conference on Multimedia (MM2009), Beijing, PR China, 19-24 Oct 2009. (full long paper, track acceptance rate: 10/56 = 18%) [ PDF] [ BibTex ]

• "SimpleNPKL: Simple Non-Parametric Kernel Learning", Jinfeng Zhuang, Ivor Tsang, Steven C.H. Hoi, International Conference on Machine Learning (ICML2009), Montreal, Canada, 14-18 June, 2009. (acceptance rate: ~25%) [ PDF ] [ BibTex ]

• "Unsupervised Face Alignment by Robust Nonrigid Mapping", Jianke Zhu, Luc Van Gool, and Steven C.H. Hoi, IEEE International Conference on Computer Vision (ICCV2009), Kyoto, Japan, 27 Sep-4 Oct 2009. To appear. (acceptance rate: 23%) [ PDF ] [ BibTex ] [ Poster ] [ Project ]

• "Nonrigid Shape Recovery by Gaussian Process Regression,” Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2009), Miami, FL, 20-26 June, 2009 (acceptance rate: 26%) [ PDF ] [ BibTex ]

• "Web Query Recommendation via Sequential Query Prediction" Q. He, D. Jiang, Z. Liao, Steven .C.H. Hoi, K. Chang, E.P. Lim and H. Li. The 25th International Conference on Data Engineering (ICDE2009), Shanghai, China, 29 March - 4 April, 2009, pp. 1443-1454 [ PDF ] [ BibTex ]

• "Communication-efficient classification in P2P networks", H.H. Ang, V. Gopalkrishnan, W.K. Ng, Steven C.H. Hoi, (acceptance rate: 105/679 = 15.5%) In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD2009), 7-11 Sept, 2009 [ PDF ] [ BibTex ]

• "Semi-Supervised SVM Batch Mode Active Learning and Its Applications to Image Retrieval,"Steven C.H. Hoi, Rong Jin, Jianke Zhu, and M.R. Lyu, ACM Transactions on Information Systems (TOIS), vol. 27, no. 3, pp. 1-29, 2009. (extended from CVPR2008 paper) [ PDF ] [ BibTex ] [ Demo ] [ Project ]

• "Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval," Steven C.H. Hoi, Rong Jin, Michael R. Lyu, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2009. To appear. (extended from WWW2006 paper) [ PDF ] [ BibTex ]

2008

• "Near-Duplicate Keyframe Retrieval by Nonrigid Image Matching,", Jianke Zhu, Steven C.H. Hoi, Michael R. Lyu and Shuicheng Yan, ACM International Conference on Multimedia (MM2008), 2008. (acceptance rate: 16.7%, oral, long paper) [ PDF (1.3MB)] [ BibTex ] [ Slides (1.9MB)] [ Project ]

• "Semi-Supervised Ensemble Ranking," Steven C.H. Hoi and Rong Jin, Proceedings of Association for the Advancement of Artificial Intelligence (AAAI2008), Chicago, 13-17 July, 2008. (acceptance rate: 227/937 = 24%) [ PDF (198KB)] [ BibTex ]

• "Active Kernel Learning," Steven C.H. Hoi and Rong Jin, Proceedings of International Conference on Machine Learning (ICML2008), Helsinki, Finland, 5-9 July, 2008. (acceptance rate: 155/583 = 26%) [ PDF (200KB)] [ BibTex ]

• "Semi-Supervised SVM Batch Mode Active Learning for Image Retrieval," Steven C.H. Hoi, Rong Jin, Jianke Zhu, and Michael R. Lyu, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR2008), Alaska, 24-26 June, 2008. (acceptance rate: 32%) [ PDF (255KB)] [ BibTex ] [ Project ]

• "Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval," Steven C.H. Hoi, Wei Liu, and Shih-Fu Chang, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2008), Alaska, US, June 24-26, 2008.(acceptance rate: 32%) [ PDF (251KB)] [ BibTex ]

• "An Effective Approach to 3D Deformable Surface Tracking", Jianke Zhu, Steven C.H. Hoi, Zenglin Xu, M.R. Lyu, Proc European Conference on Computer Vision (ECCV2008), Marseille, France, October 2008 (acceptance rate: 193/900 = 21%) (full regular paper) [ PDF (13,407KB)] [ BibTex ]

• "Cascade RSVM in Peer-to-Peer Network," H.H. Ang, V. Gopalkrishnan, Steven C.H. Hoi, and W.K. Ng, Proc. ECML/PKDD Conference (ECML/PKDD2008), Antwerp, Belgium, 2008 (acceptance rate: 98/521 = 18.8%) [ BibTex ]

• "Representative Entry Selection for Profiling Blogs," Jinfeng Zhuang, Steven C.H. Hoi, Aixin Sun, Rong Jin, Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM2008), Napa Valley, California, Oct, 2008.(Poster) [ PDF (109KB)] [ BibTex ]

• "A Multi-Modal and Multi-Level Ranking Scheme for Large-Scale Video Retrieval," Steven C.H. Hoi and Michael R. Lyu, IEEE Transactions on Multimedia (TMM), vol. 10, no. 4, pp. 607-619, June 2008. [ PDF (1.65MB)] [ BibTex ]

• "Face Annotation Using Transductive Kernel Fisher Discriminant," Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, IEEE Transactions on Multimedia (TMM), vol. 10, no. 1, pp. 86-96, Jan 2008. [ PDF (512KB)] [ BibTex ]

• "Robust Regularized Kernel Regression", Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, IEEE Transactions on Systems, Man and Cybernetics - Part B (TSMC), vol. 38, no.6, December 2008. [ BibTex ]

2007

• "Learning Non-Parametric Kernel Matrices from Pairwise Constraints," Steven C.H. Hoi, Rong Jin and Michael R. Lyu, Proc. the 24th Annual International Conference on Machine Learning (ICML2007), OR, US, 20-24 June, 2007. (acceptance rate: 29%) [ PDF (260KB)] [ BibTex ] [ CODE ] [ DATA ]

• "An Empirical Study on Large-Scale Content-Based Image Retrieval," Y. M. Wong, Steven C.H. Hoi and Michael R. Lyu, Proc. IEEE International Conference on Multimedia & Expo (ICME2007), Beijing, China, July 2-5, 2007. [ PDF (88KB)] [ BibTex ]

• "A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling," Jianke Zhu, Steven C.H. Hoi, and Michael R. Lyu, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR2007), June, 2007. (acceptance rate: 27%) [ PDF (520KB)] [ BibTex ]

• "A Multi-Modal and Multi-Level Ranking Framework for Content-Based Video Retrieval," Steven C.H. Hoi and Michael R Lyu, The 32nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2007), Special Session on "Web Image/Video Search Technologies", Hawaii, USA, 15-20 April, 2007. (Invited Paper/Talk) [ PDF (198KB)] [ BibTex ] [ Slides ]

• "Similarity Beyond Distance Measurement," Feng Kang, Rong Jin, Steven C.H. Hoi, Proceedings of Large-Scale Semantic Access to Content (Text, Image, Video and Sound) - 8th Conference (RIAO2007), Pittsburgh, US, May 30-June 1, 2007. [ BibTex ]

• "Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007," Steven C.H. Hoi, Proceedings of Cross Language Evaluation Forum campaign (CLEF2007), LNCS, 2007 [ PDF (172KB)] [ BibTex ]

2006

• "Learning the Unified Kernel Machines for Classification," Steven C.H. Hoi, Michael R Lyu and Edward Y Chang, In 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2006), pp.187-196, Philadelphia, USA, August 20 - 23, 2006. (acceptance rate: 11%) [ PDF (285KB)] [ BibTex ]

• "Batch Mode Active Learning and Its application to Medical Image Classification" Steven C.H. Hoi, Rong Jin, Jianke Zhu and Michael R. Lyu, In 23rd International Conference on Machine Learning (ICML2006), Pittsburgh, PA, US, June 25-29, 2006. (acceptance rate: 20%) [ PDF (206KB)] [ BibTex ]

• "Large-Scale Text Categorization by Batch Mode Active Learning," Steven C.H. Hoi, Rong Jin and Michael R. Lyu, In Proceedings of the 15th International World Wide Web conference (WWW2006), Edinburgh, England, UK, 2006.(acceptance rate: 11%) [ PDF (266KB)] [ BibTex ]

• "Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data", Q. Zhao, S.C.H. Hoi, T.Y. Liu, SS Bhowmick, MR. Lyu, WY Ma In Proceedings of the 15th International World Wide Web conference (WWW2006), Edinburgh, England, UK, 2006.(acceptance rate: 11%) [ PDF (250KB)] [ BibTex ] [ Slides (389KB)]

• "Learning Distance Metrics with Contextual Constraints for Image Retrieval" Steven C.H. Hoi, W. Liu, M.R. Lyu and W.Y. Ma, In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR2006), New York, June, 2006 (acceptance rate: ~23%) [ PDF (149KB)] [ BibTex ]

• "Real-Time Non-Rigid Shape Recovery via Active Appearance Models for Augmented Reality" Jianke Zhu, Steven C. H. Hoi, and Michael R. Lyu (2006) In Proceedings 9th European Conference on Computer Vision (ECCV2006), Graz, Austria May 7 - 13, 2006 (acceptance rate: 21%) [ PDF (589KB)] [ BibTex ]

• "Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search" Steevn C.H. Hoi, Lawson S. Wong and Albert Lyu, (2006) In Proceedings of TREC Video Retrieval Evaluation Workshop, 2006 [ PDF (104KB)] [ BibTex ]

• "A Unified Log-based Relevance Feedback Scheme for Image Retrieval," (Regular Paper) Steven C. H. Hoi, Michael R. Lyu and Rong Jin In IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 18, no. 4, pp. 509-524, 2006 [ PDF (3.50MB)] [ BibTex ]

• "Collaborative Image Retrieval via Regularized Metric Learning" (Regular Paper) Luo Si, Rong Jin and Steven C. H. Hoi and Michael R. Lyu (2006) In ACM Multimedia Systems Journal (MMSJ), Special Issue on Machine Learning Approaches to Multimedia Information Retrieval, vol. 12, no. 1, pp.34-44, April, 2006. [ PDF (329KB)] [ BibTex ]

2005

• "CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval," Steven C. H. Hoi, Jianke Zhu and Michael R. Lyu In Proceedings of Cross Language Evaluation Forum campaign (CLEF2005), LNCS 4022, Springer, pp.602-611, 2006 (Our MAP result ranks TOP 1 in the Bilingual Ad-hoc Image Retrieval campaign.) [ PDF (257KB)] [ BibTex ]

• "Automatic 3D Face Modeling Using 2D Active Appearance Models," Jianke Zhu, Steven C. H. Hoi, Edward Yau and Michael R. Lyu In Pacific Graphics (PG2005), Macau, China, 2005 [ PDF (71KB)] [ BibTex ] [ poster ]

• "Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-based Image Retrieval," Steven C. H. Hoi, Michael R. Lyu and Rong Jin In the 1st IEEE International EMMA Workshop in conjunction with 21st ICDE Conference, Tokyo, Japan, 2005 (Invited Paper/Talk) [ PDF (153KB)] [ BibTex ]

• "A Unified Learning Paradigm for Large-Scale Personalized Information Management," (Invited paper/talk) E.Y. Chang, S.C.H. Hoi, X. Wang, WY Ma and MR Lyu In the 5th Emerging Information Technology Conference (EIT2005), NTU Taipei, August 2005 [ PDF (98KB)] [ BibTex ]

• "A Semi-Supervised Active Learning Framework for Image Retrieval," Steven C. H. Hoi and Michael R. Lyu In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR2005), San Diego, CA, USA June 20-25, 2005 (acceptance rate: ~22%) [ PDF (186KB)] [ BibTex ]

2004 & before

• "A Novel Log-based Relevance Feedback Technique in Content-based Image Retrieval," Chu-Hong Hoi and Michael R. Lyu In Proceedings of 12th ACM Conference on Multimedia (MM2004), New York, USA, 10-16 October, pp. 24-31, 2004 (acceptance rate: 16%) [ PDF (224KB)] [ BibTex ] (Extended version was published in IEEE TKDE 2006.)

• "Web Image Learning for Searching Semantic Concepts in Image Databases," Chu-Hong Hoi and Michael R. Lyu In Proceedings of the 13th International World Wide Web Conference (WWW2004), Alternative Track and Poster, NY, 17-22 May, 2004 [ PDF (129KB)] [ BibTex ]

• "Group-based Relevance Feedback with Support Vector Machine Ensembles," Chu-Hong Hoi and Michael R. Lyu In Proceedings of 17th International Conference on Pattern Recognition (ICPR2004), Cambridge, UK, vol. 3, pp. 874-877, 23-26 August, 2004 [ PDF (249KB)] [ BibTex ]

• "Biased Support Vector Machine for Relevance Feedback in Image Retrieval," Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R Lyu and Irwin King, In Proceedings of International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, pp. 3189-3194, 25-29 July, 2004 [ PDF (251KB)] [ BibTex ]

• "Robust Face Recognition Using Minimax Probability Machine," Chu-Hong Hoi and Michael R. Lyu In Proceedings of IEEE International Conference on Multimedia and Expo (ICME2004), Taiwan, 27-30 June, 2004 [ PDF (199KB)] [ BibTex ]

• "A Novel Scheme for Video Similarity Detection," Chu-Hong Hoi, Wei Wang and Michael R. Lyu In Proceedings of International Conference on Image and Video Retrieval (CIVR2003), USA, pp. 373-382, LNCS, vol. 2728, Springer, 2003 [ PDF (193KB) ] [ BibTex ]