Rong Jin

Orcid: 0000-0002-8797-4646

Affiliations:
  • Alibaba Group, Machine Intelligence Technology, Bellevue, WA, USA
  • Michigan State University, Department of Computer Science & Engineering, East Lansing, MI, USA (2003 - 2015)
  • Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2003)


According to our database1, Rong Jin authored at least 425 papers between 1999 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
HyRSM++: Hybrid relation guided temporal set matching for few-shot action recognition.
Pattern Recognit., March, 2024

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting.
CoRR, 2024

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
CoRR, 2024

Towards Aligned Data Removal via Twin Machine Unlearning.
CoRR, 2024

S<sup>3</sup>Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching.
CoRR, 2024

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.
CoRR, 2024

Efficient LLM-Jailbreaking by Introducing Visual Modality.
CoRR, 2024

Towards Unified Robustness Against Both Backdoor and Adversarial Attacks.
CoRR, 2024

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt.
CoRR, 2024

Debiasing Multimodal Large Language Models.
CoRR, 2024

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention.
CoRR, 2024

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting.
CoRR, 2024

Attention as Robust Representation for Time Series Forecasting.
CoRR, 2024

Jailbreaking Attack against Multimodal Large Language Model.
CoRR, 2024

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

What Limits the Performance of Local Self-attention?
Int. J. Comput. Vis., October, 2023

Achieving Human Parity on Visual Question Answering.
ACM Trans. Inf. Syst., 2023

ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning.
IEEE Trans. Multim., 2023

Attentional-Biased Stochastic Gradient Descent.
Trans. Mach. Learn. Res., 2023

Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors.
CoRR, 2023

SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting.
CoRR, 2023

Model-free Test Time Adaptation for Out-Of-Distribution Detection.
CoRR, 2023

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors.
CoRR, 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.
CoRR, 2023

Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer.
CoRR, 2023

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation.
CoRR, 2023

Power Time Series Forecasting by Pretrained LM.
CoRR, 2023

One Fits All: Power General Time Series Analysis by Pretrained LM.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

FeDXL: Provable Federated Learning for Deep X-Risk Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Free Lunch for Domain Adversarial Training: Environment Label Smoothing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Making Vision Transformers Efficient from A Token Sparsification View.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
FedX: Federated Learning for Compositional Pairwise Risk Optimization.
CoRR, 2022

Robust Graph Structure Learning over Images via Multiple Statistical Tests.
CoRR, 2022

TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting.
CoRR, 2022

An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation.
CoRR, 2022

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grow and Merge: A Unified Framework for Continuous Categories Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Graph Structure Learning via Multiple Statistical Tests.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Fine-Tuning by Better Leveraging Pre-Training Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.
Proceedings of the International Conference on Machine Learning, 2022

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection.
Proceedings of the International Conference on Machine Learning, 2022

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Entroformer: A Transformer-based Entropy Model for Learned Image Compression.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Effective Model Sparsification by Scheduled Grow-and-Prune Methods.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking Supervised Pre-Training for Better Downstream Transferring.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Convolution for Re-Ranking in Person Re-Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022

TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

KVT: k-NN Attention for Boosting Vision Transformers.
Proceedings of the Computer Vision, 2022

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hybrid Relation Guided Set Matching for Few-shot Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CHEX: CHannel EXploration for CNN Model Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Visual Representation Learning by Online Constrained K-Means.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scaled ReLU Matters for Training Vision Transformers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
ANN Softmax: Acceleration of Extreme Classification Training.
Proc. VLDB Endow., 2021

Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses.
Manag. Sci., 2021

ELSA: Enhanced Local Self-Attention for Vision Transformer.
CoRR, 2021

A Novel Convergence Analysis for Algorithms of the Adam Family.
CoRR, 2021

Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search.
CoRR, 2021

Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice.
CoRR, 2021

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification.
CoRR, 2021

Achieving Human Parity on Visual Question Answering.
CoRR, 2021

IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search.
CoRR, 2021

Dash: Semi-Supervised Learning with Dynamic Thresholding.
CoRR, 2021

KVT: k-NN Attention for Boosting Vision Transformers.
CoRR, 2021

Why Does Multi-Epoch Training Help?
CoRR, 2021

On Stochastic Moving-Average Estimators for Non-Convex Optimization.
CoRR, 2021

A Theoretical Analysis of Learning with Noisily Labeled Data.
CoRR, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition.
CoRR, 2021

CobBO: Coordinate Backoff Bayesian Optimization.
CoRR, 2021

On the Convergence of Deep Networks with Sample Quadratic Overparameterization.
CoRR, 2021

An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dash: Semi-Supervised Learning with Dynamic Thresholding.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Accurate Entropy Model with Global Reference for Image Compression.
Proceedings of the 9th International Conference on Learning Representations, 2021

Weakly Supervised Representation Learning with Coarse Labels.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Communication Efficient SGD via Gradient Sampling With Bayes Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Motion Learning From Static Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Video Representation Learning by Context and Motion Decoupling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Position and Target Consistency for Memory-Based Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Publishing Social Network Graph Eigenspectrum With Privacy Guarantees.
IEEE Trans. Netw. Sci. Eng., 2020

High-dimensional model recovery from random sketched data by exploring intrinsic sparsity.
Mach. Learn., 2020

Attentional Biased Stochastic Gradient for Imbalanced Classification.
CoRR, 2020

Price Suggestion for Online Second-hand Items with Texts and Images.
CoRR, 2020

WeMix: How to Better Utilize Data Augmentation.
CoRR, 2020

Neural Architecture Design for GPU-Efficient Networks.
CoRR, 2020

Towards Understanding Label Smoothing.
CoRR, 2020

A Practical Online Method for Distributionally Deep Robust Optimization.
CoRR, 2020

Representation Learning with Fine-grained Patterns.
CoRR, 2020

Large-scale Multi-modal Search and QA at Alibaba.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Price Suggestion for Online Second-hand Items with Texts and Images.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Large-Scale Training System for 100-Million Classification at Alibaba.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

Price Suggestion for Online Second-hand Items.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

DR Loss: Improving Object Detection by Distributional Ranking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Large Scale Long-tailed Product Recognition System at Alibaba.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A simple homotopy proximal mapping algorithm for compressive sensing.
Mach. Learn., 2019

Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion.
J. Mach. Learn. Res., 2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.
CoRR, 2019

Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses.
CoRR, 2019

Learning with Non-Convex Truncated Losses by SGD.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Stagewise Training Accelerates Convergence of Testing Error Over SGD.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

XNAS: Neural Architecture Search with Expert Advice.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Vision-based Price Suggestion for Online Second-hand Items.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Practical Semi-Parametric Contextual Bandit.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence.
Proceedings of the 36th International Conference on Machine Learning, 2019

MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Large-Scale Visual Search with Binary Distributed Graph at Alibaba.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Robust Online Matching with User Arrival Distribution Drift.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Optimization over Multiple Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Semi-Parametric Sampling for Stochastic Bandits with Many Arms.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Combining Link and Content for Community Detection.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD?
CoRR, 2018

First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Visual Search at Alibaba.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multinomial Logit Bandit with Linear Utility Functions.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Regret of Strongly Adaptive Methods.
Proceedings of the 35th International Conference on Machine Learning, 2018

Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Large-Scale Distance Metric Learning With Uncertainty.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Sparse Learning with Stochastic Composite Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Finding multiple stable clusterings.
Knowl. Inf. Syst., 2017

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM.
CoRR, 2017

Strongly Adaptive Regret Implies Optimally Dynamic Regret.
CoRR, 2017

Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n<sup>2</sup>)-type of Risk Bounds.
CoRR, 2017

Improved Dynamic Regret for Non-degenerate Functions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

The Opensesame NIST 2016 Speaker Recognition Evaluation System.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Deep Learning at Alibaba.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Missing Modalities Imputation via Cascaded Residual Autoencoder.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds.
Proceedings of the 30th Conference on Learning Theory, 2017

A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
On Data Preconditioning for Regularized Loss Minimization.
Mach. Learn., 2016

Online kernel learning with nearly constant support vectors.
Neurocomputing, 2016

Improved dynamic regret for non-degeneracy functions.
CoRR, 2016

One-pass AUC optimization.
Artif. Intell., 2016

Online Stochastic Linear Optimization under One-bit Feedback.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Social Graph Publishing with Privacy Guarantees.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Large-scale Robust Online Matching and Its Application in E-commerce.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach.
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

Accelerated Sparse Linear Regression via Random Projection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Fast and Accurate Refined Nyström-Based Kernel SVM.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Stochastic Optimization for Kernel PCA.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning to Rank Image Tags With Limited Training Examples.
IEEE Trans. Image Process., 2015

An efficient primal dual prox method for non-smooth optimization.
Mach. Learn., 2015

Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD).
Mach. Learn., 2015

Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees.
CoRR, 2015

Towards Making High Dimensional Distance Metric Learning Practical.
CoRR, 2015

Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.
CoRR, 2015

Stochastic Proximal Gradient Descent for Nuclear Norm Regularization.
CoRR, 2015

Online Stochastic Linear Optimization under One-bit Feedback.
CoRR, 2015

Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion.
CoRR, 2015

Stock Constrained Recommendation in Tmall.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Big Data Analytics: Optimization and Randomization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Theory of Dual-sparse Regularized Randomized Reduction.
Proceedings of the 32nd International Conference on Machine Learning, 2015

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection.
Proceedings of the 32nd International Conference on Machine Learning, 2015

CUR Algorithm for Partially Observed Matrices.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Fine-grained visual categorization via multi-stage metric learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization.
Proceedings of The 28th Conference on Learning Theory, 2015

Topic Modeling in Semantic Space with Keywords.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters.
Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

A Simple Homotopy Algorithm for Compressive Sensing.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Online Bandit Learning for a Special Class of Non-Convex Losses.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Combining Link and Content for Community Detection.
Encyclopedia of Social Network Analysis and Mining, 2014

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

Random Projections for Classification: A Recovery Approach.
IEEE Trans. Inf. Theory, 2014

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

Active Learning by Querying Informative and Representative Examples.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Multiple Kernel Learning for Visual Object Recognition: A Review.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Regret bounded by gradual variation for online convex optimization.
Mach. Learn., 2014

On Data Preconditioning for Regularized Loss Minimization.
CoRR, 2014

A Simple Homotopy Proximal Mapping for Compressive Sensing.
CoRR, 2014

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization.
CoRR, 2014

Excess Risk Bounds for Exponentially Concave Losses.
CoRR, 2014

Binary Excess Risk for Smooth Convex Surrogates.
CoRR, 2014

CUR Algorithm with Incomplete Matrix Observation.
CoRR, 2014

Scalable Kernel Clustering: Approximate Kernel k-means.
CoRR, 2014

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Top Rank Optimization in Linear Time.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Distance metric learning using dropout: a structured regularization approach.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient Algorithms for Robust One-bit Compressive Sensing.
Proceedings of the 31th International Conference on Machine Learning, 2014

Image Tag Completion by Noisy Matrix Recovery.
Proceedings of the Computer Vision - ECCV 2014, 2014

Sparse Learning for Stochastic Composite Optimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Privacy and Regression Model Preserved Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Improved Bounds for the Nyström Method With Application to Kernel Classification.
IEEE Trans. Inf. Theory, 2013

Tag Completion for Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Online Multiple Kernel Classification.
Mach. Learn., 2013

A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent
CoRR, 2013

Sparse Multiple Kernel Learning with Geometric Convergence Rate
CoRR, 2013

On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent.
CoRR, 2013

MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization.
CoRR, 2013

Stochastic Optimization of Smooth Loss.
CoRR, 2013

A Random Matrix Approach to Differential Privacy and Structure Preserved Social Network Graph Publishing.
CoRR, 2013

Improving the Minimax Rate of Active Learning.
CoRR, 2013

Speedup Matrix Completion with Side Information: Application to Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Stochastic Convex Optimization with Multiple Objectives.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Mixed Optimization for Smooth Functions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Linear Convergence with Condition Number Independent Access of Full Gradients.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Online Kernel Learning with a Near Optimal Sparsity Bound.
Proceedings of the 30th International Conference on Machine Learning, 2013

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions.
Proceedings of the 30th International Conference on Machine Learning, 2013

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion.
Proceedings of the 30th International Conference on Machine Learning, 2013

One-Pass AUC Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Compressed Hashing.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Recovering the Optimal Solution by Dual Random Projection.
Proceedings of the COLT 2013, 2013

Passive Learning with Target Risk.
Proceedings of the COLT 2013, 2013

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

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

Trading regret for efficiency: online convex optimization with long term constraints.
J. Mach. Learn. Res., 2012

Online Optimization with Gradual Variations.
Proceedings of the COLT 2012, 2012

A Kernel Approach to Multi-Task Learning with Task-Specific Kernels.
J. Comput. Sci. Technol., 2012

Large-scale near-duplicate image retrieval by kernel density estimation.
Int. J. Multim. Inf. Retr., 2012

Image Retrieval in Forensics: Tattoo Image Database Application.
IEEE Multim., 2012

Online Stochastic Optimization with Multiple Objectives
CoRR, 2012

Recovering Optimal Solution by Dual Random Projection
CoRR, 2012

An Improved Bound for the Nystrom Method for Large Eigengap
CoRR, 2012

Efficient Constrained Regret Minimization
CoRR, 2012

Tattoo Image Matching and Retrieval.
Computer, 2012

Learning kernel combination from noisy pairwise constraints.
Proceedings of the IEEE Statistical Signal Processing Workshop, 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

Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning.
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

Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison.
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

Stochastic Gradient Descent with Only One Projection.
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

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

Multiple Kernel Learning from Noisy Labels by Stochastic Programming.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.
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

Robust Ensemble Clustering by Matrix Completion.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Efficient Kernel Clustering Using Random Fourier Features.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach.
Proceedings of the 4th Human Computation Workshop, 2012

Wearable autonomous microsystem with electrochemical gas sensor array for real-time health and safety monitoring.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

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

Random Projection with Filtering for Nearly Duplicate Search.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

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

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

Detecting communities and their evolutions in dynamic social networks - a Bayesian approach.
Mach. Learn., 2011

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

Regret Bound by Variation for Online Convex Optimization
CoRR, 2011

Improved Bound for the Nystrom's Method and its Application to Kernel Classification
CoRR, 2011

Machine learning for information retrieval.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

A kernel density based approach for large scale image retrieval.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Learning to trade off between exploration and exploitation in multiclass bandit prediction.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Approximate kernel k-means: solution to large scale kernel clustering.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

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

Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering.
Proceedings of the FUZZ-IEEE 2011, 2011

Multi-label learning with incomplete class assignments.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A probabilistic representation for efficient large scale visual recognition tasks.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multi-Task Learning in Square Integrable Space.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Discriminative semi-supervised feature selection via manifold regularization.
IEEE Trans. Neural Networks, 2010

Efficient Algorithm for Localized Support Vector Machine.
IEEE Trans. Knowl. Data Eng., 2010

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

On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles.
Neural Comput., 2010

Understanding bag-of-words model: a statistical framework.
Int. J. Mach. Learn. Cybern., 2010

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

A Potential-based Framework for Online Multi-class Learning with Partial Feedback.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Robust Metric Learning by Smooth Optimization.
Proceedings of the UAI 2010, 2010

Non-parametric Mixture Models for Clustering.
Proceedings of the Structural, 2010

Directed Network Community Detection: A Popularity and Productivity Link Model.
Proceedings of the SIAM International Conference on Data Mining, 2010

Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Unsupervised transfer classification: application to text categorization.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Exploitation and exploration in a performance based contextual advertising system.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning from Noisy Side Information by Generalized Maximum Entropy Model.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Simple and Efficient Multiple Kernel Learning by Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Online visual vocabulary pruning using pairwise constraints.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

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

Smooth Optimization for Effective Multiple Kernel Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 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

SemiBoost: Boosting for Semi-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach.
Neural Comput., 2009

An Information Geometry Approach for Distance Metric Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization.
Bioinform., 2009

A Bayesian Framework for Community Detection Integrating Content and Link.
Proceedings of the UAI 2009, 2009

A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Proceedings of the SIAM International Conference on Data Mining, 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

Adaptive Regularization for Transductive Support Vector Machine.
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

Learning to Rank by Optimizing NDCG Measure.
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

Regularized Distance Metric Learning: Theory and Algorithm.
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

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

An efficient key point quantization algorithm for large scale image retrieval.
Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009

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

Graffiti-ID: matching and retrieval of graffiti images.
Proceedings of the First ACM workshop on Multimedia in forensics, 2009

Combining link and content for community detection: a discriminative approach.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Online learning by ellipsoid method.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Non-monotonic feature selection.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Content-based image retrieval: An application to tattoo images.
Proceedings of the International Conference on Image Processing, 2009

Efficient multi-label ranking for multi-class learning: Application to object recognition.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Learning a distance metric from multi-instance multi-label data.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
A Bayesian framework for knowledge driven regression model in micro-array data analysis.
Int. J. Data Min. Bioinform., 2008

Automated annotation of <i>Drosophila</i> gene expression patterns using a controlled vocabulary.
Bioinform., 2008

Ranking refinement and its application to information retrieval.
Proceedings of the 17th International Conference on World Wide Web, 2008

Semi-Supervised Boosting for Multi-Class Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

An Extended Level Method for Efficient Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multi-label Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Active query selection for semi-supervised clustering.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Active kernel learning.
Proceedings of the Machine Learning, 2008

Unifying discriminative visual codebook generation with classifier training for object category recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Rank-based distance metric learning: An application to 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 text categorization by active search.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

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

2007
An empirical investigation of user term feedback in text-based targeted image search.
ACM Trans. Inf. Syst., 2007

Multi-Class Learning by Smoothed Boosting.
Mach. Learn., 2007

Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering.
Neurocomputing, 2007

Bayesian Active Distance Metric Learning.
Proceedings of the UAI 2007, 2007

Michigan State University at the 2007 TREC ciQA Task.
Proceedings of The Sixteenth Text REtrieval Conference, 2007

Localized Support Vector Machine and Its Efficient Algorithm.
Proceedings of the Seventh SIAM International Conference on Data Mining, 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

Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification.
Proceedings of the Advances in Multimedia Information Processing, 2007

Efficient Convex Relaxation for Transductive Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning distance metrics for interactive search-assisted diagnosis of mammograms.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

BoostCluster: boosting clustering by pairwise constraints.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A learning framework using Green's function and kernel regularization with application to recommender system.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

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

Semi-supervised Collaborative Text Classification.
Proceedings of the Machine Learning: ECML 2007, 2007

Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems.
Proceedings of the ACL 2007, 2007

Semi-Supervised Learning by Mixed Label Propagation.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Active Algorithm Selection.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

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

A statistical framework for query translation disambiguation.
ACM Trans. Asian Lang. Inf. Process., 2006

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

A study of mixture models for collaborative filtering.
Inf. Retr., 2006

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

A graph-based framework for relation propagation and its application to multi-label learning.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Generalized Maximum Margin Clustering and Unsupervised Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

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

A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Assessing temporal and spatial evolution of clusters of functionally interdependent neurons using graph partitioning techniques.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Knowledge Driven Regression Model for Gene Expression and Microarray Analysis.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Correlated Label Propagation with Application to Multi-label Learning.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

An Efficient Algorithm for Local Distance Metric Learning.
Proceedings of the Proceedings, 2006

Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization.
Proceedings of the Proceedings, 2006

2005
User term feedback in interactive text-based image retrieval.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

A maximum coherence model for dictionary-based cross-language information retrieval.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Study of cross lingual information retrieval using on-line translation systems.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Symmetric Statistical Translation Models for Automatic Image Annotation.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Framework for Incorporating Class Priors into Discriminative Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Probabilistic Approach for Optimizing Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Linguistic theories in efficient multimodal reference resolution: an empirical investigation.
Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

A Novel Approach to Model Generation for Heterogeneous Data Classification.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning with Labeled Sessions.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

A smoothed boosting algorithm using probabilistic output codes.
Proceedings of the Machine Learning, 2005

Learn to weight terms in information retrieval using category information.
Proceedings of the Machine Learning, 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

Sensor Localization in an Obstructed Environment.
Proceedings of the Distributed Computing in Sensor Systems, 2005

Query Translation Disambiguation as Graph Partitioning.
Proceedings of the Proceedings, 2005

2004
A Bayesian Approach toward Active Learning for Collaborative Filtering.
Proceedings of the UAI '04, 2004

A study of methods for normalizing user ratings in collaborative filtering.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

An automatic weighting scheme for collaborative filtering.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Effective automatic image annotation via a coherent language model and active learning.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Ordering patterns by combining opinions from multiple sources.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Robust feature induction for support vector machines.
Proceedings of the Machine Learning, 2004

SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.
Proceedings of the Machine Learning: ECML 2004, 2004

MSU at ImageCLEF: Cross Language and Interactive Image Retrieval.
Proceedings of the Multilingual Information Access for Text, 2004

Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

Regularizing translation models for better automatic image annotation.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003
Statistical approaches toward automatic title generation.
SIGIR Forum, 2003

Web Image Retrieval Re-Ranking with Relevance Model.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Preference-based Graphic Models for Collaborative Filtering.
Proceedings of the UAI '03, 2003

Informedia at TRECVID 2003 : Analyzing and Searching Broadcast News Video.
Proceedings of the 2003 TREC Video Retrieval Evaluation, 2003

Video retrieval using speech and image information.
Proceedings of the Storage and Retrieval for Media Databases 2003, 2003

Negative pseudo-relevance feedback in content-based video retrieval.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization.
Proceedings of the Machine Learning, 2003

Flexible Mixture Model for Collaborative Filtering.
Proceedings of the Machine Learning, 2003

A Faster Iterative Scaling Algorithm for Conditional Exponential Model.
Proceedings of the Machine Learning, 2003

Learning to identify video shots with people based on face detection.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

On predicting rare classes with SVM ensembles in scene classification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A New Pairwise Ensemble Approach for Text Classification.
Proceedings of the Machine Learning: ECML 2003, 2003

Information retrieval for OCR documents: a content-based probabilistic correction model.
Proceedings of the Document Recognition and Retrieval X, 2003

Multimedia Search with Pseudo-relevance Feedback.
Proceedings of the Image and Video Retrieval, Second International Conference, 2003

Collaborative filtering with decoupled models for preferences and ratings.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
Video Classification and Retrieval with the Informedia Digital Video Library System.
Proceedings of The Eleventh Text REtrieval Conference, 2002

Language model for IR using collection information.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Title language model for information retrieval.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Meta-Classification of Multimedia Classifiers.
Proceedings of the International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD 2002), 2002

Learning with Multiple Labels.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Multi-modal information retrieval from broadcast video using OCR and speech recognition.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2002

A Probabilistic Model for Camera Zoom Detection.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Using a probabilistic source model for comparing images.
Proceedings of the 2002 International Conference on Image Processing, 2002

A New Probabilistic Model for Title Generation.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

A language modeling framework for resource selection and results merging.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Video Retrieval with the Informedia Digital Video Library System.
Proceedings of The Tenth Text REtrieval Conference, 2001

Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Probabilistic Combination of Content and Links.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Automatic Title Generation for Spoken Broadcast News.
Proceedings of the First International Conference on Human Language Technology Research, 2001

Title Generation for Machine-Translated Documents.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Title Generation Using a Training Corpus.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2001

2000
Title generation for spoken broadcast news using a training corpus.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Data Analysis for a Multimedia Library.
Proceedings of the Text- and Speech-Triggered Information Access, 2000

1999
CMU Spoken Document Retrieval in Trec-8: Analysis of the role of Term Frequency TF.
Proceedings of The Eighth Text REtrieval Conference, 1999


  Loading...