Jingrui He

Orcid: 0000-0002-6429-6272

Affiliations:
  • University of Illinois at Urbana-Champaign, IL, USA
  • Arizona State University, AZ, USA
  • Carnegie Mellon University, PA, USA (Ph.D., 2010)
  • Tsinghua University, China (former)


According to our database1, Jingrui He authored at least 216 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Artificial Intelligence, Social Responsibility, and the Roles of the University.
Commun. ACM, August, 2024

Rare Category Analysis for Complex Data: A Review.
ACM Comput. Surv., May, 2024

Co-clustering for Federated Recommender System.
CoRR, 2024

PageRank Bandits for Link Prediction.
CoRR, 2024

LLM-Forest for Health Tabular Data Imputation.
CoRR, 2024

Parametric Graph Representations in the Era of Foundation Models: A Survey and Position.
CoRR, 2024

Online Multi-modal Root Cause Analysis.
CoRR, 2024

AdaRC: Mitigating Graph Structure Shifts during Test-Time.
CoRR, 2024

Fair Anomaly Detection For Imbalanced Groups.
CoRR, 2024

Towards Multi-view Graph Anomaly Detection with Similarity-Guided Contrastive Clustering.
CoRR, 2024

Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection.
CoRR, 2024

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs.
CoRR, 2024

Multi-modal Causal Structure Learning and Root Cause Analysis.
CoRR, 2024

MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Co-clustering for Federated Recommender System.
Proceedings of the ACM on Web Conference 2024, 2024

TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Neural Contextual Bandits for Personalized Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Heterogeneous Contrastive Learning for Foundation Models and Beyond.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Meta Clustering of Neural Bandits.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Distributional Network of Networks for Modeling Data Heterogeneity.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Mixup on Approximate Gromov-Wasserstein Geodesics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Contextual Bandits with Online Neural Regression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Active Learning Beyond Bandits.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairgen: Towards Fair Graph Generation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Automated Contrastive Learning Strategy Search for Time Series.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

BOBA: Byzantine-Robust Federated Learning with Label Skewness.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation.
IEEE Trans. Knowl. Data Eng., November, 2023

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.
SIGKDD Explor., 2023

Dataset Distillation via the Wasserstein Metric.
CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.
CoRR, 2023

Neural Exploitation and Exploration of Contextual Bandits.
CoRR, 2023

Everything Evolves in Personalized PageRank.
Proceedings of the ACM Web Conference 2023, 2023

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.
Proceedings of the ACM Web Conference 2023, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Fairness-aware Multi-view Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Graph-Structured Gaussian Processes for Transferable Graph Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-Learning with Neural Bandit Scheduler.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Test-Time Personalization for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trustworthy Transfer Learning: Transferability and Trustworthiness.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Bandits.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Personalized Federated Learning with Parameter Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.
Proceedings of the International Conference on Machine Learning, 2023

Optimizing the Collaboration Structure in Cross-Silo Federated Learning.
Proceedings of the International Conference on Machine Learning, 2023

Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Non-IID Transfer Learning on Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Visual Analytics of Anomalous User Behaviors: A Survey.
IEEE Trans. Big Data, 2022

Dynamic transfer learning with progressive meta-task scheduler.
Frontiers Big Data, 2022

Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future.
Frontiers Big Data, 2022

iNet: visual analysis of irregular transition in multivariate dynamic networks.
Frontiers Comput. Sci., 2022

BOBA: Byzantine-Robust Federated Learning with Label Skewness.
CoRR, 2022

Privacy-preserving Graph Analytics: Secure Generation and Federated Learning.
CoRR, 2022

Neural Collaborative Filtering Bandits via Meta Learning.
CoRR, 2022

Training Fair Deep Neural Networks by Balancing Influence.
CoRR, 2022

Adaptive Transfer Learning for Plant Phenotyping.
CoRR, 2022

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Active Learning by Leveraging Training Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Algorithms for Neural Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distribution-Informed Neural Networks for Domain Adaptation Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Learning with Complex Heterogeneity.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Comprehensive Fair Meta-learned Recommender System.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neural Bandit with Arm Group Graph.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Meta-Learned Metrics over Multi-Evolution Temporal Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Adaptation with Dynamic Open-Set Targets.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Unified Meta-Learning Framework for Dynamic Transfer Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Fairness-aware Model-agnostic Positive and Unlabeled Learning.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

MentorGNN: Deriving Curriculum for Pre-Training GNNs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

TrustLOG: The First Workshop on Trustworthy Learning on Graphs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Knowledge Transfer on Evolving Domains.
Proceedings of the IEEE International Conference on Big Data, 2022

DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes.
IEEE Trans. Vis. Comput. Graph., 2021

High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective.
ACM Trans. Knowl. Discov. Data, 2021

Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce.
IEEE Data Eng. Bull., 2021

From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems.
CoRR, 2021

Tackling Oversmoothing of GNNs with Contrastive Learning.
CoRR, 2021

Deep Active Learning by Leveraging Training Dynamics.
CoRR, 2021

Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising.
CoRR, 2021

DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks.
CoRR, 2021

Heterogeneous Contrastive Learning.
CoRR, 2021

Deep Co-Attention Network for Multi-View Subspace Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Controllable Gradient Item Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Local Clustering in Contextual Multi-Armed Bandits.
Proceedings of the WWW '21: The Web Conference 2021, 2021

SDG: A Simplified and Dynamic Graph Neural Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Indirect Invisible Poisoning Attacks on Domain Adaptation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-facet Contextual Bandits: A Neural Network Perspective.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Outlier Impact Characterization for Time Series Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Complex heterogeneity learning: A theoretical and empirical study.
Pattern Recognit., 2020

RCAnalyzer: visual analytics of rare categories in dynamic networks.
Frontiers Inf. Technol. Electron. Eng., 2020

GAN-based Recommendation with Positive-Unlabeled Sampling.
CoRR, 2020

Robust Decentralized Learning for Neural Networks.
CoRR, 2020

Continuous Transfer Learning with Label-informed Distribution Alignment.
CoRR, 2020

Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Crowd Teaching with Imperfect Labels.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Data-Driven Graph Generative Model for Temporal Interaction Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

InFoRM: Individual Fairness on Graph Mining.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Local Motif Clustering on Time-Evolving Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Generic Outlier Detection in Multi-Armed Bandit.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A View-Adversarial Framework for Multi-View Network Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-task Crowdsourcing via an Optimization Framework.
ACM Trans. Knowl. Discov. Data, 2019

Misc-GAN: A Multi-scale Generative Model for Graphs.
Frontiers Big Data, 2019

Location Prediction for Tweets.
Frontiers Big Data, 2019

Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping.
CoRR, 2019

Deep Multimodality Model for Multi-task Multi-view Learning.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Task-Adversarial Co-Generative Nets.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Convolution-Consistent Collective Matrix Completion.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Social Phishing.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

RCLens: Interactive Rare Category Exploration and Identification.
IEEE Trans. Vis. Comput. Graph., 2018

Function-on-Function Regression with Mode-Sparsity Regularization.
ACM Trans. Knowl. Discov. Data, 2018

Feature co-shrinking for co-clustering.
Pattern Recognit., 2018

Heterogeneous representation learning with separable structured sparsity regularization.
Knowl. Inf. Syst., 2018

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.
CoRR, 2018

ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data.
CoRR, 2018

Inferring Anchor Links Based on Social Network Structure.
IEEE Access, 2018

GTA<sup>3</sup> 2018: Workshop on Graph Techniques for Adversarial Activity Analytics.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Winners-Take-All Incentive Mechanism for Crowd-Powered Systems.
Proceedings of the 13th Workshop on Economics of Networks, Systems and Computation, 2018

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Local Algorithm for Product Return Prediction in E-Commerce.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Motif-Preserving Dynamic Local Graph Cut.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Source Free Domain Adaptation Using an Off-the-Shelf Classifier.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Towards Optimal Connectivity on Multi-Layered Networks.
IEEE Trans. Knowl. Data Eng., 2017

Discovering rare categories from graph streams.
Data Min. Knowl. Discov., 2017

Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

MultiC<sup>2</sup>: an Optimization Framework for Learning from Task and Worker Dual Heterogeneity.
Proceedings of the 2017 SIAM International Conference on Data Mining, 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

Local Algorithm for User Action Prediction Towards Display Ads.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning from Data Heterogeneity: Algorithms and Applications.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Randomized Approach for Crowdsourcing in the Presence of Multiple Views.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.
IEEE Trans. Knowl. Data Eng., 2016

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.
ACM Trans. Knowl. Discov. Data, 2016

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
ACM Trans. Knowl. Discov. Data, 2016

Crowdsourcing via Tensor Augmentation and Completion.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bi-Level Rare Temporal Pattern Detection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Functional Regression with Mode-Sparsity Constraint.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Heterogeneous Representation Learning with Structured Sparsity Regularization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
A general framework for predictive tensor modeling with domain knowledge.
Data Min. Knowl. Discov., 2015

Learning Complex Rare Categories with Dual Heterogeneity.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Hierarchical Active Transfer Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Co-Clustering based Dual Prediction for Cargo Pricing Optimization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

MUVIR: Multi-View Rare Category Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rare Category Detection on Time-Evolving Graphs.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Cross-Site Virtual Social Network Construction.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Graph-based Recommendation across Heterogeneous Domains.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Social Engineering/Phishing.
Encyclopedia of Social Network Analysis and Mining, 2014

Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning with dual heterogeneity: a nonparametric bayes model.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Learning from Label and Feature Heterogeneity.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
MI2LS: multi-instance learning from multiple informationsources.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Improving Traffic Prediction with Tweet Semantics.
Proceedings of the IJCAI 2013, 2013

MILEAGE: Multiple Instance LEArning with Global Embedding.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Analysis of Rare Categories
Cognitive Technologies, Springer, ISBN: 978-3-642-22812-4, 2012

An effective framework for characterizing rare categories.
Frontiers Comput. Sci., 2012

Adaptive Multi-task Sparse Learning with an Application to fMRI Study.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 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

Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical Modeling with Tensor Inputs.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Multi-view transfer learning with a large margin approach.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Diversified ranking on large graphs: an optimization viewpoint.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A Graphbased Framework for Multi-Task Multi-View Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Coselection of features and instances for unsupervised rare category analysis.
Stat. Anal. Data Min., 2010

Co-selection of Features and Instances for Unsupervised Rare Category Analysis.
Proceedings of the SIAM International Conference on Data Mining, 2010

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.
Proceedings of the ICDMW 2010, 2010

Rare Category Characterization.
Proceedings of the ICDM 2010, 2010

Ensemble-Based Method for Task 2: Predicting Traffic Jam.
Proceedings of the ICDMW 2010, 2010

2009
Prior-Free Rare Category Detection.
Proceedings of the SIAM International Conference on Data Mining, 2009

Graph-based transfer learning.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Rare Class Discovery Based on Active Learning.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Graph-Based Rare Category Detection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
An evolutionary system for near-regular texture synthesis.
Pattern Recognit., 2007

Nearest-Neighbor-Based Active Learning for Rare Category Detection.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Graph-Based Semi-Supervised Learning as a Generative Model.
Proceedings of the IJCAI 2007, 2007

Asymmetric Gradient Boosting with Application to Spam Filtering.
Proceedings of the CEAS 2007, 2007

2006
Generalized Manifold-Ranking-Based Image Retrieval.
IEEE Trans. Image Process., 2006

Manifold-Ranking-Based Keyword Propagation for Image Retrieval.
EURASIP J. Adv. Signal Process., 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

W-Boost and Its Application to Web Image Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Symmetry feature in content-based image retrieval.
Proceedings of the 2004 International Conference on Image Processing, 2004


  Loading...