| 2025 | IJCNN | 3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image. | Hao Wang, Wenhao Shen, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao |
| 2024 | NAACL | What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. | Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong |
| 2023 | ACL | LAVIS: A One-stop Library for Language-Vision Intelligence. | Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi |
| 2023 | CVPR | From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. | Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi |
| 2023 | EMNLP | HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. | Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi |
| 2023 | EMNLP | Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models. | Weishi Wang, Yue Wang, Steven C. H. Hoi, Shafiq Joty |
| 2023 | EMNLP | CodeT5+: Open Code Large Language Models for Code Understanding and Generation. | Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi |
| 2023 | ICASSP | OTW: Optimal Transport Warping for Time Series. | Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi |
| 2023 | ICLR | Masked Unsupervised Self-training for Label-free Image Classification. | Junnan Li, Silvio Savarese, Steven C. H. Hoi |
| 2023 | ICLR | Learning Fast and Slow for Online Time Series Forecasting. | Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi |
| 2023 | ICML | BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. | Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi |
| 2023 | ICML | Learning Deep Time-index Models for Time Series Forecasting. | Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi |
| 2023 | WSDM | Responsible AI for Trusted AI-powered Enterprise Platforms. | Steven C. H. Hoi |
| 2023 | SIGdial | C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2022 | AAAI | Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. | Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi |
| 2022 | CVPR | Align and Prompt: Video-and-Language Pre-training with Entity Prompts. | Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi |
| 2022 | EMNLP | Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. | Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria |
| 2022 | EMNLP | Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5. | Nghi Bui, Yue Wang, Steven C. H. Hoi |
| 2022 | EMNLP | Learning Label Modular Prompts for Text Classification in the Wild. | Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi |
| 2022 | EMNLP | Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. | Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi |
| 2022 | EMNLP | BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. | Guangsen Wang, Samson Tan, Shafiq R. Joty, Gang Wu, Jimmy Au, Steven C. H. Hoi |
| 2022 | ICLR | Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. | Quang Pham, Chenghao Liu, Steven C. H. Hoi |
| 2022 | ICLR | CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. | Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi |
| 2022 | ICML | BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. | Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi |
| 2022 | ICSE | Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. | Amrita Saha, Steven C. H. Hoi |
| 2022 | NAACL | VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2022 | NAACL | Multimodal Dialogue State Tracking. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2021 | AAAI | Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. | Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | CIKM | On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. | Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajrvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi |
| 2021 | EMNLP | CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. | Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi |
| 2021 | ICCV | CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. | Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICCV | Learning from Noisy Data with Robust Representation Learning. | Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICLR | MoPro: Webly Supervised Learning with Momentum Prototypes. | Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICLR | Prototypical Contrastive Learning of Unsupervised Representations. | Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi |
| 2021 | ICLR | Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2021 | ICLR | Contextual Transformation Networks for Online Continual Learning. | Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi |
| 2021 | ICLR | PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. | Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi |
| 2021 | IJCAI | Node-wise Localization of Graph Neural Networks. | Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | Interspeech | Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. | Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi |
| 2021 | SIGIR | Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. | Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi |
| 2021 | UAI | Task similarity aware meta learning: theory-inspired improvement on MAML. | Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi |
| 2021 | SDM | Discrete Listwise Collaborative Filtering for Fast Recommendation. | Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi |
| 2020 | ACL | Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi |
| 2020 | ACL | Video-Grounded Dialogues with Pretrained Generation Language Models. | Hung Le, Steven C. H. Hoi |
| 2020 | ACL | Photon: A Robust Cross-Domain Text-to-SQL System. | Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King |
| 2020 | CIKM | Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. | Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi |
| 2020 | CVPR | Disparity-Aware Domain Adaptation in Stereo Image Restoration. | Bo Yan, Chenxi Ma, Bahetiyaer Bare, Weimin Tan, Steven C. H. Hoi |
| 2020 | CVPR | Learning Video Object Segmentation From Unlabeled Videos. | Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi |
| 2020 | ECCV | Adaptive Task Sampling for Meta-learning. | Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi |
| 2020 | ECCV | Structure-Aware Generation Network for Recipe Generation from Images. | Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao |
| 2020 | ECCV | The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. | Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng |
| 2020 | EMNLP | Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. | Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu |
| 2020 | EMNLP | BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. | Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi |
| 2020 | EMNLP | UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. | Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi |
| 2020 | EMNLP | Response Selection for Multi-Party Conversations with Dynamic Topic Tracking. | Weishi Wang, Steven C. H. Hoi, Shafiq R. Joty |
| 2020 | EMNLP | VD-BERT: A Unified Vision and Dialog Transformer with BERT. | Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi |
| 2020 | EMNLP | TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. | Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong |
| 2020 | EMNLP | Improving Limited Labeled Dialogue State Tracking with Self-Supervision. | Chien-Sheng Wu, Steven C. H. Hoi, Caiming Xiong |
| 2020 | ICLR | Non-Autoregressive Dialog State Tracking. | Hung Le, Richard Socher, Steven C. H. Hoi |
| 2020 | ICLR | DivideMix: Learning with Noisy Labels as Semi-supervised Learning. | Junnan Li, Richard Socher, Steven C. H. Hoi |
| 2020 | ICLR | Tree-Structured Attention with Hierarchical Accumulation. | Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher |
| 2020 | KDD | Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. | Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi |
| 2019 | AAAI | Discrete Social Recommendation. | Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi |
| 2019 | AAAI | Robust Estimation of Similarity Transformation for Visual Object Tracking. | Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu |
| 2019 | AAAI | Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach. | Chen Zhang, Steven C. H. Hoi |
| 2019 | ACL | Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. | Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi |
| 2019 | CVPR | Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. | Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li |
| 2019 | CVPR | Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. | Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi |
| 2019 | CVPR | Learning Unsupervised Video Object Segmentation Through Visual Attention. | Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling |
| 2019 | CVPR | Salient Object Detection With Pyramid Attention and Salient Edges. | Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji |
| 2019 | KDD | FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. | Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi |
| 2019 | MICCAI | Multi-label Thoracic Disease Image Classification with Cross-Attention Networks. | Congbo Ma, Hu Wang, Steven C. H. Hoi |
| 2019 | SIGIR | Compositional Coding for Collaborative Filtering. | Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi |
| 2019 | SDM | Robust Factorization Machine: A Doubly Capped Norms Minimization. | Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2018 | AAAI | Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. | Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2018 | ECCV | Question-Guided Hybrid Convolution for Visual Question Answering. | Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang |
| 2018 | IJCAI | Online Deep Learning: Learning Deep Neural Networks on the Fly. | Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi |
| 2018 | KDD | Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. | Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi |
| 2017 | CIKM | Interactive Social Recommendation. | Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester |
| 2017 | ICDM | Large Scale Kernel Methods for Online AUC Maximization. | Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi |
| 2017 | ICML | Projection-free Distributed Online Learning in Networks. | Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, Tong Zhang |
| 2017 | IJCAI | Online Multitask Relative Similarity Learning. | Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao |
| 2017 | IJCAI | DeepFacade: A Deep Learning Approach to Facade Parsing. | Hantang Liu, Jialiang Zhang, Jianke Zhu, Steven C. H. Hoi |
| 2017 | WWW | Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. | Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen |
| 2016 | AAAI | Online ARIMA Algorithms for Time Series Prediction. | Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun |
| 2016 | ACML | Cost Sensitive Online Multiple Kernel Classification. | Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao |
| 2016 | CIKM | 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 Lim |
| 2016 | ICDM | SOAL: Second-Order Online Active Learning. | Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang |
| 2016 | SIGIR | On Effective Personalized Music Retrieval by Exploring Online User Behaviors. | Zhiyong Cheng, Jialie Shen, Steven C. H. Hoi |
| 2016 | UAI | Efficient Multi-Class Selective Sampling on Graphs. | Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li |
| 2016 | WSDM | Mobile App Tagging. | Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao |
| 2016 | SDM | Online Sparse Passive Aggressive Learning with Kernels. | Jing Lu, Peilin Zhao, Steven C. H. Hoi |
| 2016 | SDM | Temporal Kernel Descriptors for Learning with Time-sensitive Patterns. | Doyen Sahoo, Abhishek Sharma, Steven C. H. Hoi, Peilin Zhao |
| 2015 | AAAI | An Adaptive Gradient Method for Online AUC Maximization. | Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong |
| 2015 | ACL | SOLAR: Scalable Online Learning Algorithms for Ranking. | Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi |
| 2015 | CIKM | Learning Relative Similarity from Data Streams: Active Online Learning Approaches. | Shuji Hao, Peilin Zhao, Steven C. H. Hoi, Chunyan Miao |
| 2015 | CVPR | Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches. | Yang Li, Jianke Zhu, Steven C. H. Hoi |
| 2015 | ICDM | Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. | Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi |
| 2015 | IJCAI | Semi-Universal Portfolios with Transaction Costs. | Dingjiang Huang, Yan Zhu, Bin Li, Shuigeng Zhou, Steven C. H. Hoi |
| 2015 | IJCAI | 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 Li |
| 2015 | WSDM | SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning. | Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao |
| 2014 | AAAI | SOML: Sparse Online Metric Learning with Application to Image Retrieval. | Xingyu Gao, Steven C. H. Hoi, Yongdong Zhang, Ji Wan, Jintao Li |
| 2014 | AAAI | Learning Relative Similarity by Stochastic Dual Coordinate Ascent. | Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi |
| 2014 | ACML | Online Passive Aggressive Active Learning and Its Applications. | Jing Lu, Peilin Zhao, Steven C. H. Hoi |
| 2014 | ICDM | High-Dimensional Data Stream Classification via Sparse Online Learning. | Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi |
| 2014 | ICSE | AR-miner: mining informative reviews for developers from mobile app marketplace. | Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang |
| 2014 | KDD | Online multiple kernel regression. | Doyen Sahoo, Steven C. H. Hoi, Bin Li |
| 2013 | ACML | Second Order Online Collaborative Filtering. | Jing Lu, Steven C. H. Hoi, Jialei Wang |
| 2013 | IJCAI | Large Scale Online Kernel Classification. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu |
| 2013 | IJCAI | Robust Median Reversion Strategy for On-Line Portfolio Selection. | Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou |
| 2013 | KDD | Cost-sensitive online active learning with application to malicious URL detection. | Peilin Zhao, Steven C. H. Hoi |
| 2013 | RecSys | Online multi-task collaborative filtering for on-the-fly recommender systems. | Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu |
| 2013 | WWW | FANS: face annotation by searching large-scale web facial images. | Steven C. H. Hoi, Dayong Wang, I. Yeu Cheng, Elmer Weijie Lin, Jianke Zhu, Ying He, Chunyan Miao |
| 2013 | SIGIR | Learning to name faces: a multimodal learning scheme for search-based face annotation. | Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao |
| 2013 | UAI | Active Learning with Expert Advice. | Peilin Zhao, Steven C. H. Hoi, Jinfeng Zhuang |
| 2013 | WSDM | Online multi-modal distance learning for scalable multimedia retrieval. | Hao Xia, Pengcheng Wu, Steven C. H. Hoi |
| 2013 | SDM | Cost-Sensitive Double Updating Online Learning and Its Application to Online Anomaly Detection. | Steven C. H. Hoi, Peilin Zhao |
| 2012 | AAAI | Online Kernel Selection: Algorithms and Evaluations. | Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi |
| 2012 | ICDM | Cost-Sensitive Online Classification. | Jialei Wang, Peilin Zhao, Steven C. H. Hoi |
| 2012 | ICML | Exact Soft Confidence-Weighted Learning. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao |
| 2012 | ICML | Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu |
| 2012 | ICML | On-Line Portfolio Selection with Moving Average Reversion. | Bin Li, Steven C. H. Hoi |
| 2012 | KDD | Online feature selection for mining big data. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin |
| 2012 | SIGIR | Boosting multi-kernel locality-sensitive hashing for scalable image retrieval. | Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin |
| 2011 | CIKM | Collaborative online learning of user generated content. | Guangxia Li, Kuiyu Chang, Steven C. H. Hoi, Wenting Liu, Ramesh C. Jain |
| 2011 | ICML | Online AUC Maximization. | Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang |
| 2011 | MMM | An Effective Approach to Pose Invariant 3D Face Recognition. | Dayong Wang, Steven C. H. Hoi, Ying He |
| 2011 | MMM | Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval. | Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He |
| 2011 | SIGIR | Mining weakly labeled web facial images for search-based face annotation. | Dayong Wang, Steven C. H. Hoi, Ying He |
| 2011 | WSDM | Mining social images with distance metric learning for automated image tagging. | Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He |
| 2011 | WSDM | A two-view learning approach for image tag ranking. | Jinfeng Zhuang, Steven C. H. Hoi |
| 2011 | SDM | MKBoost: A Framework of Multiple Kernel Boosting. | Hao Xia, Steven C. H. Hoi |
| 2010 | ALT | Online Multiple Kernel Learning: Algorithms and Mistake Bounds. | Rong Jin, Steven C. H. Hoi, Tianbao Yang |
| 2010 | DASFAA | Adaptive Ensemble Classification in P2P Networks. | Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng |
| 2010 | ICDM | Micro-blogging Sentiment Detection by Collaborative Online Learning. | Guangxia Li, Steven C. H. Hoi, Kuiyu Chang, Ramesh C. Jain |
| 2010 | ICML | OTL: A Framework of Online Transfer Learning. | Peilin Zhao, Steven C. H. Hoi |
| 2010 | PAKDD | Satrap: Data and Network Heterogeneity Aware P2P Data-Mining. | Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi |
| 2010 | SDM | Two-View Transductive Support Vector Machines. | Guangxia Li, Steven C. H. Hoi, Kuiyu Chang |
| 2009 | CVPR | Nonrigid shape recovery by Gaussian process regression. | Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu |
| 2009 | ICCV | Unsupervised face alignment by robust nonrigid mapping. | Jianke Zhu, Luc Van Gool, Steven C. H. Hoi |
| 2009 | ICDE | Web Query Recommendation via Sequential Query Prediction. | Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li |
| 2009 | ICML | SimpleNPKL: simple non-parametric kernel learning. | Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi |
| 2008 | AAAI | Semi-Supervised Ensemble Ranking. | Steven C. H. Hoi, Rong Jin |
| 2008 | CIKM | Representative entry selection for profiling blogs. | Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong Jin |
| 2008 | CVPR | Semi-supervised SVM batch mode active learning for image retrieval. | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2008 | CVPR | Semi-supervised distance metric learning for Collaborative Image Retrieval. | Steven C. H. Hoi, Wei Liu, Shih-Fu Chang |
| 2008 | ECCV | Output Regularized Metric Learning with Side Information. | Wei Liu, Steven C. H. Hoi, Jianzhuang Liu |
| 2008 | ECCV | An Effective Approach to 3D Deformable Surface Tracking. | Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu |
| 2008 | ICML | Active kernel learning. | Steven C. H. Hoi, Rong Jin |
| 2008 | SIGIR | On profiling blogs with representative entries. | Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun |
| 2007 | CVPR | A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling. | Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu |
| 2007 | ICASSP | A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval. | Steven C. H. Hoi, Michael R. Lyu |
| 2007 | ICML | Learning nonparametric kernel matrices from pairwise constraints. | Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2006 | CVPR | Learning Distance Metrics with Contextual Constraints for Image Retrieval. | Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma |
| 2006 | ECCV | Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality. | Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu |
| 2006 | ICML | Batch mode active learning and its application to medical image classification. | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2006 | KDD | Learning the unified kernel machines for classification. | Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang |
| 2006 | WWW | Large-scale text categorization by batch mode active learning. | Steven C. H. Hoi, Rong Jin, Michael R. Lyu |
| 2006 | WWW | Time-dependent semantic similarity measure of queries using historical click-through data. | Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Sourav S. Bhowmick, Michael R. Lyu, Wei-Ying Ma |
| 2005 | CVPR | A Semi-Supervised Active Learning Framework for Image Retrieval. | Steven C. H. Hoi, Michael R. Lyu |
| 2005 | ICDE | Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval. | Steven C. H. Hoi, Michael R. Lyu, Rong Jin |