Steven C. H. Hoi

Orcid: 0000-0002-4584-3453

Affiliations:
  • Singapore Management University, School of Information Systems, Singapore
  • Nanyang Technological University, School of Computer Engineering, Singapore
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong


According to our database1, Steven C. H. Hoi authored at least 378 papers between 2003 and 2024.

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Bibliography

2024
Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., June, 2024

Continual Learning, Fast and Slow.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

RUN: Rethinking the UNet Architecture for Efficient Image Restoration.
IEEE Trans. Multim., 2024

Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection.
IEEE Trans. Multim., 2024

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.
CoRR, 2024

Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting.
CoRR, 2024

What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
RegNet: Self-Regulated Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Improving Tail-Class Representation with Centroid Contrastive Learning.
Pattern Recognit. Lett., April, 2023

Learning Structural Representations for Recipe Generation and Food Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Active Perception for Visual-Language Navigation.
Int. J. Comput. Vis., March, 2023

Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
CoRR, 2023

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
CoRR, 2023

PyRCA: A Library for Metric-based Root Cause Analysis.
CoRR, 2023

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM.
CoRR, 2023

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges.
CoRR, 2023

LogAI: A Library for Log Analytics and Intelligence.
CoRR, 2023

Responsible AI for Trusted AI-powered Enterprise Platforms.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Deep Time-index Models for Time Series Forecasting.
Proceedings of the International Conference on Machine Learning, 2023

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
Proceedings of the International Conference on Machine Learning, 2023

Learning Fast and Slow for Online Time Series Forecasting.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Masked Unsupervised Self-training for Label-free Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

OTW: Optimal Transport Warping for Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LAVIS: A One-stop Library for Language-Vision Intelligence.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism.
IEEE Trans. Multim., 2022

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.
IEEE Trans. Intell. Transp. Syst., 2022

Collaborative Refining for Person Re-Identification With Label Noise.
IEEE Trans. Image Process., 2022

Cross-Modal Graph With Meta Concepts for Video Captioning.
IEEE Trans. Image Process., 2022

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.
IEEE Trans. Cybern., 2022

A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment.
IEEE Trans Autom. Sci. Eng., 2022

Detection and rectification of arbitrary shaped scene texts by using text keypoints and links.
Pattern Recognit., 2022

Decomposing generation networks with structure prediction for recipe generation.
Pattern Recognit., 2022

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Learning for Person Re-Identification: A Survey and Outlook.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Distilled Siamese Networks for Visual Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models.
CoRR, 2022

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems.
CoRR, 2022

LAVIS: A Library for Language-Vision Intelligence.
CoRR, 2022

3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image.
CoRR, 2022

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting.
CoRR, 2022

Causality-Based Multivariate Time Series Anomaly Detection.
CoRR, 2022

Masked Unsupervised Self-training for Zero-shot Image Classification.
CoRR, 2022

OmniXAI: A Library for Explainable AI.
CoRR, 2022

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation.
CoRR, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.
CoRR, 2022

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.
CoRR, 2022

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Dialogue State Tracking.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.
Proceedings of the International Conference on Machine Learning, 2022

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Continual Normalization: Rethinking Batch Normalization for Online Continual Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning Label Modular Prompts for Text Classification in the Wild.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Align and Prompt: Video-and-Language Pre-training with Entity Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Attribute-Aware Pedestrian Detection in a Crowd.
IEEE Trans. Multim., 2021

Paying Attention to Video Object Pattern Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Learning for Image Super-Resolution: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Online learning: A comprehensive survey.
Neurocomputing, 2021

Cascaded Fast and Slow Models for Efficient Semantic Code Search.
CoRR, 2021

Merlion: A Machine Learning Library for Time Series.
CoRR, 2021

C<sup>3</sup>: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues.
CoRR, 2021

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks.
CoRR, 2021

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning.
CoRR, 2021

Weakly-Supervised Multi-Face 3D Reconstruction.
CoRR, 2021

Task similarity aware meta learning: theory-inspired improvement on MAML.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Adapting Interactional Observation Embedding for Counterfactual Learning to Rank.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Discrete Listwise Collaborative Filtering for Fast Recommendation.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DualNet: Continual Learning, Fast and Slow.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Large-Scale Benchmark for Food Image Segmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cycle-Consistent Inverse GAN for Text-to-Image Synthesis.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Node-wise Localization of Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection.
Proceedings of the 9th International Conference on Learning Representations, 2021

Contextual Transformation Networks for Online Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues.
Proceedings of the 9th International Conference on Learning Representations, 2021

Prototypical Contrastive Learning of Unsupervised Representations.
Proceedings of the 9th International Conference on Learning Representations, 2021

MoPro: Webly Supervised Learning with Momentum Prototypes.
Proceedings of the 9th International Conference on Learning Representations, 2021




Learning from Noisy Data with Robust Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient.
IEEE Trans. Neural Networks Learn. Syst., 2020

DeepFacade: A Deep Learning Approach to Facade Parsing With Symmetric Loss.
IEEE Trans. Multim., 2020

A Unified Framework for Sparse Online Learning.
ACM Trans. Knowl. Discov. Data, 2020

Time-Warped Sparse Non-negative Factorization for Functional Data Analysis.
ACM Trans. Knowl. Discov. Data, 2020

Robust Graph Learning From Noisy Data.
IEEE Trans. Cybern., 2020

DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.
Neural Networks, 2020

Collaborative online ranking algorithms for multitask learning.
Knowl. Inf. Syst., 2020

Feature agglomeration networks for single stage face detection.
Neurocomputing, 2020

Single-shot bidirectional pyramid networks for high-quality object detection.
Neurocomputing, 2020

Recent advances in deep learning for object detection.
Neurocomputing, 2020

Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation.
Comput. Speech Lang., 2020

Partially Observable Online Change Detection via Smooth-Sparse Decomposition.
CoRR, 2020

Bilevel Continual Learning.
CoRR, 2020

Decomposed Generation Networks with Structure Prediction for Recipe Generation from Food Images.
CoRR, 2020

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
CoRR, 2020

Extreme Low-Light Imaging with Multi-granulation Cooperative Networks.
CoRR, 2020

Prototypical Contrastive Learning of Unsupervised Representations.
CoRR, 2020

ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues.
CoRR, 2020

Towards Noise-resistant Object Detection with Noisy Annotations.
CoRR, 2020

Theory-Inspired Path-Regularized Differential Network Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Meta-RCNN: Meta Learning for Few-Shot Object Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Tree-Structured Attention with Hierarchical Accumulation.
Proceedings of the 8th International Conference on Learning Representations, 2020

DivideMix: Learning with Noisy Labels as Semi-supervised Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Non-Autoregressive Dialog State Tracking.
Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Limited Labeled Dialogue State Tracking with Self-Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VD-BERT: A Unified Vision and Dialog Transformer with BERT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Response Selection for Multi-Party Conversations with Dynamic Topic Tracking.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Structure-Aware Generation Network for Recipe Generation from Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Task Sampling for Meta-learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Video Object Segmentation From Unlabeled Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Disparity-Aware Domain Adaptation in Stereo Image Restoration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Photon: A Robust Cross-Domain Text-to-SQL System.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Video-Grounded Dialogues with Pretrained Generation Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction.
ACM Trans. Knowl. Discov. Data, 2019

Semi-supervised deep embedded clustering.
Neurocomputing, 2019

Detecting cyberattacks in industrial control systems using online learning algorithms.
Neurocomputing, 2019

Classification Calibration for Long-tail Instance Segmentation.
CoRR, 2019

CSID: Center, Scale, Identity and Density-aware Pedestrian Detection in a Crowd.
CoRR, 2019

Compositional Coding for Collaborative Filtering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Robust Factorization Machine: A Doubly Capped Norms Minimization.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Salient Object Detection With Pyramid Attention and Salient Edges.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Unsupervised Video Object Segmentation Through Visual Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Discrete Social Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Estimation of Similarity Transformation for Visual Object Tracking.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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

Online Active Learning with Expert Advice.
ACM Trans. Knowl. Discov. Data, 2018

Sparse Passive-Aggressive Learning for Bounded Online Kernel Methods.
ACM Trans. Intell. Syst. Technol., 2018

Combination Forecasting Reversion Strategy for Online Portfolio Selection.
ACM Trans. Intell. Syst. Technol., 2018

Distributed multi-task classification: a decentralized online learning approach.
Mach. Learn., 2018

Multi-target deep neural networks: Theoretical analysis and implementation.
Neurocomputing, 2018

Face detection using deep learning: An improved faster RCNN approach.
Neurocomputing, 2018

Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection.
CoRR, 2018

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.
CoRR, 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Online Deep Learning: Learning Deep Neural Networks on the Fly.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Question-Guided Hybrid Convolution for Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2018, 2018

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

2017
Scalable Image Retrieval by Sparse Product Quantization.
IEEE Trans. Multim., 2017

Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data.
ACM Trans. Knowl. Discov. Data, 2017

Sparse Online Learning of Image Similarity.
ACM Trans. Intell. Syst. Technol., 2017

Collaborative topic regression for online recommender systems: an online and Bayesian approach.
Mach. Learn., 2017

SOL: A library for scalable online learning algorithms.
Neurocomputing, 2017

HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search.
Neurocomputing, 2017

Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters.
CoRR, 2017

Malicious URL Detection using Machine Learning: A Survey.
CoRR, 2017

Learning Personalized Preference of Strong and Weak Ties for Social Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

DeepFacade: A Deep Learning Approach to Facade Parsing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

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

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

Interactive Social Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

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

Robust Median Reversion Strategy for Online Portfolio Selection.
IEEE Trans. Knowl. Data Eng., 2016

Soft Confidence-Weighted Learning.
ACM Trans. Intell. Syst. Technol., 2016

Online Passive-Aggressive Active learning.
Mach. Learn., 2016

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

OLPS: A Toolbox for On-Line Portfolio Selection.
J. Mach. Learn. Res., 2016

Online Bayesian Collaborative Topic Regression.
CoRR, 2016

Adaptive Subgradient Methods for Online AUC Maximization.
CoRR, 2016

Mobile App Tagging.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

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

On Effective Personalized Music Retrieval by Exploring Online User Behaviors.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

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

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

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

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

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

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

2015
Fast Object Retrieval Using Direct Spatial Matching.
IEEE Trans. Multim., 2015

A Framework of Sparse Online Learning and Its Applications.
CoRR, 2015

Budget Online Multiple Kernel Learning.
CoRR, 2015

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks.
CoRR, 2015

Moving average reversion strategy for on-line portfolio selection.
Artif. Intell., 2015

SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

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

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

Semi-Universal Portfolios with Transaction Costs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

Candy crushing your sleep.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

SOLAR: Scalable Online Learning Algorithms for Ranking.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

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

2014
Twitter Microblog Sentiment Analysis.
Encyclopedia of Social Network Analysis and Mining, 2014

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

Cost-Sensitive Online Classification.
IEEE Trans. Knowl. Data Eng., 2014

Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation.
IEEE Trans. Knowl. Data Eng., 2014

Collaborative Online Multitask Learning.
IEEE Trans. Knowl. Data Eng., 2014

Community Discovery from Social Media by Low-Rank Matrix Recovery.
ACM Trans. Intell. Syst. Technol., 2014

Coupling Graphs, Efficient Algorithmsand B-Cell Epitope Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

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

Retrieval-Based Face Annotation by Weak Label Regularized Local Coordinate Coding.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

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

Identifying essential pairwise interactions in elastic network model using the alpha shape theory.
J. Comput. Chem., 2014

Graph Matching by Simplified Convex-Concave Relaxation Procedure.
Int. J. Comput. Vis., 2014

Software process evaluation: a machine learning framework with application to defect management process.
Empir. Softw. Eng., 2014

FSpH: Fitted spectral hashing for efficient similarity search.
Comput. Vis. Image Underst., 2014

Online portfolio selection: A survey.
ACM Comput. Surv., 2014

Massive-scale Online Feature Selection for Sparse Ultra-high Dimensional Data.
CoRR, 2014

Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots.
BMC Bioinform., 2014

Online Transfer Learning.
Artif. Intell., 2014

Deep Learning for Content-Based Image Retrieval: A Comprehensive Study.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Online multiple kernel regression.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

AR-miner: mining informative reviews for developers from mobile app marketplace.
Proceedings of the 36th International Conference on Software Engineering, 2014

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

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

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

SOML: Sparse Online Metric Learning with Application to Image Retrieval.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
MKBoost: A Framework of Multiple Kernel Boosting.
IEEE Trans. Knowl. Data Eng., 2013

Predictive Handling of Asynchronous Concept Drifts in Distributed Environments.
IEEE Trans. Knowl. Data Eng., 2013

Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection.
ACM Trans. Knowl. Discov. Data, 2013

Classification in P2P networks with cascade support vector machines.
ACM Trans. Knowl. Discov. Data, 2013

Introduction: special issue of selected papers of ACML 2012.
Mach. Learn., 2013

Online Multiple Kernel Classification.
Mach. Learn., 2013

FANS: face annotation by searching large-scale web facial images.
Proceedings of the 22nd International World Wide Web Conference, 2013

Online multi-modal distance learning for scalable multimedia retrieval.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

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

Learning to name faces: a multimodal learning scheme for search-based face annotation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

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

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

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

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

Robust Median Reversion Strategy for On-Line Portfolio Selection.
Proceedings of the IJCAI 2013, 2013

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

Second Order Online Collaborative Filtering.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Learning Bregman Distance Functions for Semi-Supervised Clustering.
IEEE Trans. Knowl. Data Eng., 2012

Multiview Semi-Supervised Learning with Consensus.
IEEE Trans. Knowl. Data Eng., 2012

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems.
ACM Trans. Intell. Syst. Technol., 2012

Modeling and Compressing 3-D Facial Expressions Using Geometry Videos.
IEEE Trans. Circuits Syst. Video Technol., 2012

PAMR: Passive aggressive mean reversion strategy for portfolio selection.
Mach. Learn., 2012

Preface.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

On-Line Portfolio Selection: A Survey
CoRR, 2012

B-cell epitope prediction through a graph model.
BMC Bioinform., 2012

Boosting multi-kernel locality-sensitive hashing for scalable image retrieval.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

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

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

On-Line Portfolio Selection with Moving Average Reversion.
Proceedings of the 29th International Conference on Machine Learning, 2012

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

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

A unified learning framework for auto face annotation by mining web facial images.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Online Kernel Selection: Algorithms and Evaluations.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching.
ACM Trans. Multim. Comput. Commun. Appl., 2011

Distance metric learning from uncertain side information for automated photo tagging.
ACM Trans. Intell. Syst. Technol., 2011

CORN: Correlation-driven nonparametric learning approach for portfolio selection.
ACM Trans. Intell. Syst. Technol., 2011

Active multiple kernel learning for interactive 3D object retrieval systems.
ACM Trans. Interact. Intell. Syst., 2011

Spectral Geometry Image: Image Based 3D Models for Digital Broadcasting Applications.
IEEE Trans. Broadcast., 2011

Two-Layer Multiple Kernel Learning.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Family of Simple Non-Parametric Kernel Learning Algorithms.
J. Mach. Learn. Res., 2011

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

Unsupervised Multiple Kernel Learning.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

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

Enhancing Bag-of-Words Models with Semantics-Preserving Metric Learning.
IEEE Multim., 2011

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?
Bioinform., 2011

A two-view learning approach for image tag ranking.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

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

Mining weakly labeled web facial images for search-based face annotation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval.
Proceedings of the Advances in Multimedia Modeling, 2011

An Effective Approach to Pose Invariant 3D Face Recognition.
Proceedings of the Advances in Multimedia Modeling, 2011

Modeling social strength in social media community via kernel-based learning.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Retrieval-based face annotation by weak label regularized local coordinate coding.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Modeling 3D articulated motions with conformal geometry videos (CGVs).
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

SIRE: a social image retrieval engine.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

WSM2011: third ACM workshop on social media.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Software process evaluation: A machine learning approach.
Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

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

When recommendation meets mobile: contextual and personalized recommendation on the go.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Collaborative online learning of user generated content.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Social Image Tag Ranking by Two-View Learning.
Proceedings of the Social Media Modeling and Computing., 2011

2010
Semi-supervised distance metric learning for collaborative image retrieval and clustering.
ACM Trans. Multim. Comput. Commun. Appl., 2010

Semantics-Preserving Bag-of-Words Models and Applications.
IEEE Trans. Image Process., 2010

P2PDocTagger: Content management through automated P2P collaborative tagging.
Proc. VLDB Endow., 2010

A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Exclusive Lasso for Multi-task Feature Selection.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Two-View Transductive Support Vector Machines.
Proceedings of the SIAM International Conference on Data Mining, 2010

On Classifying Drifting Concepts in P2P Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Satrap: Data and Network Heterogeneity Aware P2P Data-Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Modeling 3D facial expressions using geometry videos.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

WSM'10: 2nd ACM workshop on social media.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

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

Micro-blogging Sentiment Detection by Collaborative Online Learning.
Proceedings of the ICDM 2010, 2010

Adaptive Ensemble Classification in P2P Networks.
Proceedings of the Database Systems for Advanced Applications, 2010

Non-parametric kernel ranking approach for social image retrieval.
Proceedings of the 9th ACM International Conference on Image and Video Retrieval, 2010

Online Multiple Kernel Learning: Algorithms and Mistake Bounds.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009
Semisupervised SVM batch mode active learning with applications to image retrieval.
ACM Trans. Inf. Syst., 2009

Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2009

Communication-Efficient Classification in P2P Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

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

Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Semantics-preserving bag-of-words models for efficient image annotation.
Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009

Distance metric learning from uncertain side information with application to automated photo tagging.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Streaming 3D meshes using spectral geometry images.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

First ACM SIGMM international workshop onsocial media (WSM'09).
Proceedings of the 17th International Conference on Multimedia 2009, 2009

SimpleNPKL: simple non-parametric kernel learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Web Query Recommendation via Sequential Query Prediction.
Proceedings of the 25th International Conference on Data Engineering, 2009

Unsupervised face alignment by robust nonrigid mapping.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Nonrigid shape recovery by Gaussian process regression.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Robust Regularized Kernel Regression.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Face Annotation Using Transductive Kernel Fisher Discriminant.
IEEE Trans. Multim., 2008

A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval.
IEEE Trans. Multim., 2008

On profiling blogs with representative entries.
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008

Cascade RSVM in Peer-to-Peer Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Near-duplicate keyframe retrieval by nonrigid image matching.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Active kernel learning.
Proceedings of the Machine Learning, 2008

An Effective Approach to 3D Deformable Surface Tracking.
Proceedings of the Computer Vision, 2008

Output Regularized Metric Learning with Side Information.
Proceedings of the Computer Vision, 2008

Classification in P2P Networks by Bagging Cascade RSVMs.
Proceedings of the Databases, 2008

Semi-supervised distance metric learning for Collaborative Image Retrieval.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Semi-supervised SVM batch mode active learning for image retrieval.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Representative entry selection for profiling blogs.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Semi-Supervised Ensemble Ranking.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Similarity Beyond Distance Measurement.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2007, 8th International Conference, Carnegie Mellon University, Pittsburgh, PA, USA, May 30, 2007

Learning nonparametric kernel matrices from pairwise constraints.
Proceedings of the Machine Learning, 2007

An Empirical Study on Large-Scale Content-Based Image Retrieval.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

Overview of the ImageCLEF 2007 Object Retrieval Task.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

2006
Statistical machine learning for data mining and collaborative multimedia retrieval.
PhD thesis, 2006

A Unified Log-Based Relevance Feedback Scheme for Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2006

Collaborative image retrieval via regularized metric learning.
Multim. Syst., 2006

Time-dependent semantic similarity measure of queries using historical click-through data.
Proceedings of the 15th international conference on World Wide Web, 2006

Large-scale text categorization by batch mode active learning.
Proceedings of the 15th international conference on World Wide Web, 2006

Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Learning the unified kernel machines for classification.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Batch mode active learning and its application to medical image classification.
Proceedings of the Machine Learning, 2006

Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality.
Proceedings of the Computer Vision, 2006

Learning Distance Metrics with Contextual Constraints for Image Retrieval.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

A Semi-Supervised Active Learning Framework for Image Retrieval.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

CUHK Experiments with ImageCLEF 2005.
Proceedings of the Working Notes for CLEF 2005 Workshop co-located with the 9th European Conference on Digital Libraries (ECDL 2005), 2005

CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval.
Proceedings of the Accessing Multilingual Information Repositories, 2005

2004
Web image learning for searching semantic concepts in image databases.
Proceedings of the 13th international conference on World Wide Web, 2004

A novel log-based relevance feedback technique in content-based image retrieval.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Group-based Relevance Feedback with Support Vector Machine Ensembles.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Robust face recognition using minimax probability machine.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003
A Novel Scheme for Video Similarity Detection.
Proceedings of the Image and Video Retrieval, Second International Conference, 2003


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