# Hanghang Tong

According to our database

Collaborative distances:

^{1}, Hanghang Tong authored at least 184 papers between 2004 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Spiral of Silence in Recommender Systems.

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Mobile Data Mining

Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-02100-9, 2018

Visual Analysis of Brain Networks Using Sparse Regression Models.

TKDD, 2018

Visualizing Research Impact through Citation Data.

TiiS, 2018

Guiding supervised topic modeling for content based tag recommendation.

Neurocomputing, 2018

GTA

^{3}2018: Workshop on Graph Techniques for Adversarial Activity Analytics.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Network Science of Teams: Characterization, Prediction, and Optimization.

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Layered Network Embedding.

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Extra: explaining team recommendation in networks.

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Team Expansion in Collaborative Environments.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

FASTEN: Fast Sylvester Equation Solver for Graph Mining.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Bug Localization via Supervised Topic Modeling.

Proceedings of the IEEE International Conference on Data Mining, 2018

Graph Convolutional Networks: Algorithms, Applications and Open Challenges.

Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

Towards Explainable Networked Prediction.

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

X-Rank: Explainable Ranking in Complex Multi-Layered Networks.

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

AURORA: Auditing PageRank on Large Graphs.

Proceedings of the IEEE International Conference on Big Data, 2018

Local Partition in Rich Graphs.

Proceedings of the IEEE International Conference on Big Data, 2018

Realtime Robustification of Interdependent Networks under Cascading Attacks.

Proceedings of the IEEE International Conference on Big Data, 2018

2017

Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.

IEEE Trans. Vis. Comput. Graph., 2017

Fast and Flexible Top-

*k*Similarity Search on Large Networks.
ACM Trans. Inf. Syst., 2017

Version-Aware Rating Prediction for Mobile App Recommendation.

ACM Trans. Inf. Syst., 2017

Scalable Algorithms for CQA Post Voting Prediction.

IEEE Trans. Knowl. Data Eng., 2017

RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem.

IEEE Trans. Knowl. Data Eng., 2017

Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions.

IEEE Trans. Knowl. Data Eng., 2017

Towards Optimal Connectivity on Multi-Layered Networks.

IEEE Trans. Knowl. Data Eng., 2017

Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.

TKDD, 2017

Guest Editorial: Big Scholar Data Discovery and Collaboration.

IEEE Trans. Big Data, 2017

On the Measurement and Prediction of Web Content Utility: A Review.

SIGKDD Explorations, 2017

On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms.

Statistical Analysis and Data Mining, 2017

Special focus on natural language processing and social computing.

SCIENCE CHINA Information Sciences, 2017

Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data.

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

NEMO: Next Career Move Prediction with Contextual Embedding.

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Visual Graph Query Construction and Refinement.

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

User-guided Cross-domain Sentiment Classification.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Local Algorithm for Structure-Preserving Graph Cut.

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems.

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Is the Whole Greater Than the Sum of Its Parts?

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

FIRST: Fast Interactive Attributed Subgraph Matching.

iNEAT: Incomplete Network Alignment.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Inside the Atoms: Mining a Network of Networks and Beyond.

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Uncovering Teamwork in Networks - Prediction, Optimization and Explanation.

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Automatic Navbox Generation by Interpretable Clustering over Linked Entities.

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Rapid Analysis of Network Connectivity.

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration.

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Personalized travel mode detection with smartphone sensors.

Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease.

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Node Immunization on Large Graphs: Theory and Algorithms.

IEEE Trans. Knowl. Data Eng., 2016

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue.

TKDD, 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.

TKDD, 2016

Online Travel Mode Identification Using Smartphones With Battery Saving Considerations.

IEEE Trans. Intelligent Transportation Systems, 2016

Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued).

IEEE Trans. Big Data, 2016

Guest Editorial: Big Scholar Data Discovery and Collaboration.

IEEE Trans. Big Data, 2016

Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing.

PLoS Computational Biology, 2016

Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.

BMC Bioinformatics, 2016

Preface.

Big Data Research, 2016

*iPath:*Forecasting the Pathway to Impact.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

FINAL: Fast Attributed Network Alignment.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

QUINT: On Query-Specific Optimal Networks.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

TOPIC: Toward perfect Influence Graph Summarization.

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Network based models and path based features for gene prioritization.

Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016

Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

BigNet 2016: First Workshop on Big Network Analytics.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

TEAMOPT: Interactive Team Optimization in Big Networks.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

VISAGE: Interactive Visual Graph Querying.

Proceedings of the International Working Conference on Advanced Visual Interfaces, 2016

2015

VEGAS: Visual influEnce GrAph Summarization on Citation Networks.

IEEE Trans. Knowl. Data Eng., 2015

Detecting high-quality posts in community question answering sites.

Inf. Sci., 2015

Robust bilinear factorization with missing and grossly corrupted observations.

Inf. Sci., 2015

Graph based anomaly detection and description: a survey.

Data Min. Knowl. Discov., 2015

Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation.

Proceedings of the 24th International Conference on World Wide Web, 2015

Mobile Crowd Assisted Navigation for the Visually Impaired.

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Supervised Link Prediction Using Random Walks.

Proceedings of the Social Media Processing - 4th National Conference, 2015

*Cheetah*: Fast Graph Kernel Tracking on Dynamic Graphs.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Fast Eigen-Functions Tracking on Dynamic Graphs.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Fast Mining of a Network of Coevolving Time Series.

Panther: Fast Top-k Similarity Search on Large Networks.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Flexible and Robust Multi-Network Clustering.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The Child is Father of the Man: Foresee the Success at the Early Stage.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Facets: Fast Comprehensive Mining of Coevolving High-order Time Series.

Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design.

Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

BrainQuest: Perception-Guided Brain Network Comparison.

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling.

Proceedings of the Database Systems for Advanced Applications, 2015

g-Miner: Interactive Visual Group Mining on Multivariate Graphs.

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

Full diffusion history reconstruction in networks.

Proceedings of the 2015 IEEE International Conference on Big Data, 2015

Robust network construction against intentional attacks.

Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

Towards Topic Following in Heterogeneous Information Networks.

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model.

IEEE Trans. Knowl. Data Eng., 2014

Query complex graph patterns: tools and applications.

Proceedings of the 23rd International World Wide Web Conference, 2014

User churn in focused question answering sites: characterizations and prediction.

Proceedings of the 23rd International World Wide Web Conference, 2014

1st workshop on diffusion networks and cascade analytics.

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Make It or Break It: Manipulating Robustness in Large Networks.

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Predicting long-term impact of CQA posts: a comprehensive viewpoint.

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Inside the atoms: ranking on a network of networks.

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Flow-Based Influence Graph Visual Summarization.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

WiiCluster: a Platform for Wikipedia Infobox Generation.

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Dual-Regularized One-Class Collaborative Filtering.

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Accelerometer-based Activity Recognition on Smartphone.

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

MAGE: Matching approximate patterns in richly-attributed graphs.

Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Joint voting prediction for questions and answers in CQA.

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Hierarchical Focus+Context Heterogeneous Network Visualization.

Proceedings of the IEEE Pacific Visualization Symposium, 2014

Big Data Classification.

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

Large Graph Analysis in the GMine System.

IEEE Trans. Knowl. Data Eng., 2013

Pairwise trust inference by subgraph extraction.

Social Netw. Analys. Mining, 2013

Semi-supervised learning with nuclear norm regularization.

Pattern Recognition, 2013

SelfTrust: leveraging self-assessment for trust inference in Internetware.

SCIENCE CHINA Information Sciences, 2013

MATRI: a multi-aspect and transitive trust inference model.

Proceedings of the 22nd International World Wide Web Conference, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Fractional Immunization in Networks.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Demonstrating Interactive Multi-resolution Large Graph Exploration.

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

BIG-ALIGN: Fast Bipartite Graph Alignment.

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Big Data Clustering.

Data Clustering: Algorithms and Applications, 2013

2012

gbase: an efficient analysis platform for large graphs.

VLDB J., 2012

Non-negative residual matrix factorization: problem definition, fast solutions, and applications.

Statistical Analysis and Data Mining, 2012

Social Network Analysis in Enterprise.

Proceedings of the IEEE, 2012

Gateway finder in large graphs: problem definitions and fast solutions.

Inf. Retr., 2012

An effective framework for characterizing rare categories.

Frontiers Comput. Sci., 2012

Guest editorial: special issue on data mining technologies for computational social science.

Data Min. Knowl. Discov., 2012

Fast Random Walk Graph Kernel.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Which Topic Will You Follow?

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

GenDeR: A Generic Diversified Ranking Algorithm.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

SympGraph: a framework for mining clinical notes through symptom relation graphs.

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

RolX: structural role extraction & mining in large graphs.

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Overlapping Clustering with Sparseness Constraints.

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Gelling, and melting, large graphs by edge manipulation.

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fast and reliable anomaly detection in categorical data.

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Subgraph Extraction for Trust Inference in Social Networks.

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Information spreading in context.

Proceedings of the 20th International Conference on World Wide Web, 2011

Recommending People in Developers' Collaboration Network.

Proceedings of the 18th Working Conference on Reverse Engineering, 2011

Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Centralities in Large Networks: Algorithms and Observations.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point.

Proceedings of the NETWORKING 2011, 2011

Diversified ranking on large graphs: an optimization viewpoint.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

GBASE: a scalable and general graph management system.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

It's who you know: graph mining using recursive structural features.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Towards Evolutionary Nonnegative Matrix Factorization.

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

BASSET: Scalable Gateway Finder in Large Graphs.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Metric forensics: a multi-level approach for mining volatile graphs.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

On the Vulnerability of Large Graphs.

Proceedings of the ICDM 2010, 2010

Rare Category Characterization.

Proceedings of the ICDM 2010, 2010

2009

Direction-Aware Proximity on Graphs.

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

TANGENT: a novel, 'Surprise me', recommendation algorithm.

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

iPoG: fast interactive proximity querying on graphs.

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs.

Statistical Analysis and Data Mining, 2008

Random walk with restart: fast solutions and applications.

Knowl. Inf. Syst., 2008

Proximity Tracking on Time-Evolving Bipartite Graphs.

Proceedings of the SIAM International Conference on Data Mining, 2008

Colibri: fast mining of large static and dynamic graphs.

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Using ghost edges for classification in sparsely labeled networks.

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Measuring Proximity on Graphs with Side Information.

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

GRAPHITE: A Visual Query System for Large Graphs.

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Fast mining of complex time-stamped events.

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Fast direction-aware proximity for graph mining.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Fast best-effort pattern matching in large attributed graphs.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Generalized Manifold-Ranking-Based Image Retrieval.

IEEE Trans. Image Processing, 2006

Manifold-Ranking-Based Keyword Propagation for Image Retrieval.

EURASIP J. Adv. Sig. Proc., 2006

GMine: A System for Scalable, Interactive Graph Visualization and Mining.

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Center-piece subgraphs: problem definition and fast solutions.

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Fast Random Walk with Restart and Its Applications.

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Learning No-Reference Quality Metric by Examples.

Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Graph based multi-modality learning.

Proceedings of the 13th ACM International Conference on Multimedia, 2005

Multiple random walk and its application in content-based image retrieval.

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Internet Traffic Prediction by W-Boost: Classification and Regression.

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Boosting Web Image Search by Co-Ranking.

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Unified Optimization Based Learning Method for Image Retrieval.

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Classification of Digital Photos Taken by Photographers or Home Users.

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Automatic Peak Number Detection in Image Symmetry Analysis.

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Manifold-ranking based image retrieval.

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Mean version space: a new active learning method for content-based image retrieval.

Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction.

Proceedings of the Advances in Neural Networks, 2004

Blur detection for digital images using wavelet transform.

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

No-reference quality assessment for JPEG2000 compressed images.

Proceedings of the 2004 International Conference on Image Processing, 2004