Rong Jin

Rong Jin's AcademicInfluence.com Rankings

Rong Jin

Computer Science

#5157

World Rank

#5450

Historical Rank

Computational Linguistics

#652

World Rank

#664

Historical Rank

Machine Learning

#1261

World Rank

#1281

Historical Rank

Database

#2309

World Rank

#2424

Historical Rank

computer-science Degrees

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Computer Science

Rong Jin's Degrees

Bachelors Computer Science University of Science and Technology of China

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Rong Jin's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Understanding bag-of-words model: a statistical framework (2010) (854)
Distance Metric Learning: A Comprehensive Survey (2006) (668)
Active Learning by Querying Informative and Representative Examples (2010) (574)
Batch mode active learning and its application to medical image classification (2006) (478)
Combining link and content for community detection: a discriminative approach (2009) (363)
An automatic weighting scheme for collaborative filtering (2004) (350)
Discriminative Semi-Supervised Feature Selection Via Manifold Regularization (2009) (347)
SemiBoost: Boosting for Semi-Supervised Learning (2009) (334)
Learning with Multiple Labels (2002) (319)
Unifying discriminative visual codebook generation with classifier training for object category recognition (2008) (313)
Detecting communities and their evolutions in dynamic social networks—a Bayesian approach (2011) (308)
Simple and Efficient Multiple Kernel Learning by Group Lasso (2010) (288)
Large-scale text categorization by batch mode active learning (2006) (266)
Multiple Kernel Learning for Visual Object Recognition: A Review (2014) (254)
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling (2019) (248)
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization (2019) (247)
Correlated Label Propagation with Application to Multi-label Learning (2006) (246)
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning (2013) (246)
Online Feature Selection and Its Applications (2014) (245)
Tag Completion for Image Retrieval (2013) (242)
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM (2017) (239)
On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering (2005) (232)
Online AUC Maximization (2011) (218)
Online Optimization with Gradual Variations (2012) (206)
Trading regret for efficiency: online convex optimization with long term constraints (2011) (206)
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization (2006) (204)
A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval (2010) (198)
An Extended Level Method for Efficient Multiple Kernel Learning (2008) (197)
Regularized Distance Metric Learning: Theory and Algorithm (2009) (194)
Learning to Rank by Optimizing NDCG Measure (2009) (193)
Semi-supervised SVM batch mode active learning for image retrieval (2008) (191)
Exclusive Lasso for Multi-task Feature Selection (2010) (189)
Multi-label learning with incomplete class assignments (2011) (189)
Approximate kernel k-means: solution to large scale kernel clustering (2011) (179)
Semisupervised SVM batch mode active learning with applications to image retrieval (2009) (176)
An Efficient Algorithm for Local Distance Metric Learning (2006) (166)
One-Pass AUC Optimization (2013) (153)
Effective automatic image annotation via a coherent language model and active learning (2004) (152)
Fine-grained visual categorization via multi-stage metric learning (2014) (145)
Learning nonparametric kernel matrices from pairwise constraints (2007) (141)
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning (2006) (140)
Linear Convergence with Condition Number Independent Access of Full Gradients (2013) (135)
A Bayesian Approach toward Active Learning for Collaborative Filtering (2004) (127)
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient (2016) (125)
Active query selection for semi-supervised clustering (2008) (121)
A study of mixture models for collaborative filtering (2006) (115)
Online Multiple Kernel Classification (2013) (111)
XNAS: Neural Architecture Search with Expert Advice (2019) (111)
Online feature selection for mining big data (2012) (109)
Exploitation and exploration in a performance based contextual advertising system (2010) (109)
Double Updating Online Learning (2011) (107)
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time (2017) (102)
Distance metric learning from uncertain side information with application to automated photo tagging (2009) (98)
Rank-based distance metric learning: An application to image retrieval (2008) (95)
Missing Modalities Imputation via Cascaded Residual Autoencoder (2017) (94)
Content-based image retrieval: An application to tattoo images (2009) (92)
Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval (2009) (87)
Online Multiple Kernel Similarity Learning for Visual Search (2014) (87)
Learning a distance metric from multi-instance multi-label data (2009) (86)
Efficient Kernel Clustering Using Random Fourier Features (2012) (86)
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning (2012) (85)
Efficient Algorithm for Localized Support Vector Machine (2010) (85)
Dynamic Regret of Strongly Adaptive Methods (2017) (83)
Efficient Algorithms for Robust One-bit Compressive Sensing (2014) (81)
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) (2013) (80)
Visual Search at Alibaba (2018) (80)
Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach (2009) (79)
Online Multiple Kernel Learning: Algorithms and Mistake Bounds (2010) (77)
Robust Ensemble Clustering by Matrix Completion (2012) (76)
Efficient Convex Relaxation for Transductive Support Vector Machine (2007) (75)
A New Boosting Algorithm Using Input-Dependent Regularizer (2003) (75)
Bayesian Active Distance Metric Learning (2007) (74)
Non-monotonic feature selection (2009) (74)
BoostCluster: boosting clustering by pairwise constraints (2007) (74)
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (2012) (74)
Recovering the Optimal Solution by Dual Random Projection (2012) (71)
Image Retrieval in Forensics: Tattoo Image Database Application (2012) (70)
Semi-Supervised Boosting for Multi-Class Classification (2008) (69)
On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles (2010) (69)
Compressed Hashing (2013) (69)
Top Rank Optimization in Linear Time (2014) (66)
Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach (2013) (65)
Discourse Structure for Context Question Answering (2004) (65)
Learning Bregman Distance Functions for Semi-Supervised Clustering (2012) (64)
Multi-label Multiple Kernel Learning (2008) (63)
A learning framework using Green's function and kernel regularization with application to recommender system (2007) (61)
Dash: Semi-Supervised Learning with Dynamic Thresholding (2021) (60)
Collaborative image retrieval via regularized metric learning (2006) (60)
Improved Bounds for the Nyström Method With Application to Kernel Classification (2011) (56)
Stochastic Gradient Descent with Only One Projection (2012) (56)
Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning (2013) (56)
A study of methods for normalizing user ratings in collaborative filtering (2004) (55)
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering (2009) (55)
Localized Support Vector Machine and Its Efficient Algorithm (2007) (54)
User term feedback in interactive text-based image retrieval (2005) (53)
Learning Position and Target Consistency for Memory-based Video Object Segmentation (2021) (50)
Semi-Supervised Learning by Mixed Label Propagation (2007) (50)
Efficient multi-label ranking for multi-class learning: Application to object recognition (2009) (48)
Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification (2007) (48)
Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach (2012) (48)
Online Stochastic Linear Optimization under One-bit Feedback (2015) (47)
Robust Optimization over Multiple Domains (2018) (47)
An Information Geometry Approach for Distance Metric Learning (2009) (46)
DR Loss: Improving Object Detection by Distributional Ranking (2019) (45)
On Stochastic Moving-Average Estimators for Non-Convex Optimization (2021) (45)
Ranking refinement and its application to information retrieval (2008) (45)
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation (2021) (44)
On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization (2019) (44)
Image Tag Completion by Noisy Matrix Recovery (2014) (44)
A maximum coherence model for dictionary-based cross-language information retrieval (2005) (44)
A Probabilistic Approach for Optimizing Spectral Clustering (2005) (43)
Semi-Supervised Ensemble Ranking (2008) (42)
Mixed Optimization for Smooth Functions (2013) (42)
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (2012) (42)
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds (2017) (41)
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (2013) (39)
Automated annotation of Drosophila gene expression patterns using a controlled vocabulary (2008) (38)
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition (2010) (37)
Multi-Class Learning by Smoothed Boosting (2007) (36)
A probabilistic representation for efficient large scale visual recognition tasks (2011) (36)
Online visual vocabulary pruning using pairwise constraints (2010) (36)
Online learning by ellipsoid method (2009) (35)
Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering (2011) (34)
Distance metric learning from uncertain side information for automated photo tagging (2011) (34)
Stochastic Convex Optimization with Multiple Objectives (2013) (33)
An efficient primal dual prox method for non-smooth optimization (2012) (33)
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence (2018) (33)
Online Kernel Learning with a Near Optimal Sparsity Bound (2013) (32)
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound (2012) (31)
Linguistic theories in efficient multimodal reference resolution: an empirical investigation (2005) (31)
KVT: k-NN Attention for Boosting Vision Transformers (2021) (30)
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model (2004) (30)
Active kernel learning (2008) (30)
Learning with Non-Convex Truncated Losses by SGD (2018) (30)
Random Projections for Classification: A Recovery Approach (2014) (30)
An empirical investigation of user term feedback in text-based targeted image search (2007) (29)
Finding multiple stable clusterings (2015) (29)
A Random Matrix Approach to Differential Privacy and Structure Preserved Social Network Graph Publishing (2013) (29)
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions (2013) (29)
Learn to weight terms in information retrieval using category information (2005) (28)
Non-parametric Mixture Models for Clustering (2010) (27)
Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization (2015) (27)
Distance metric learning using dropout: a structured regularization approach (2014) (27)
Multiple Kernel Learning from Noisy Labels by Stochastic Programming (2012) (27)
CUR Algorithm for Partially Observed Matrices (2014) (26)
Robust Metric Learning by Smooth Optimization (2010) (26)
Self-supervised Video Representation Learning by Context and Motion Decoupling (2021) (25)
Adaptive Regularization for Transductive Support Vector Machine (2009) (25)
Learning Accurate Entropy Model with Global Reference for Image Compression (2020) (24)
Regularizing translation models for better automatic image annotation (2004) (24)
Learning from Noisy Side Information by Generalized Maximum Entropy Model (2010) (23)
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis (2005) (23)
Regret bounded by gradual variation for online convex optimization (2014) (23)
Large-Scale Distance Metric Learning with Uncertainty (2018) (22)
Scalable Kernel Clustering: Approximate Kernel k-means (2014) (22)
Smooth Optimization for Effective Multiple Kernel Learning (2010) (22)
Towards Understanding Label Smoothing (2020) (22)
7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS (2020) (21)
Unsupervised transfer classification: application to text categorization (2010) (21)
DUOL: A Double Updating Approach for Online Learning (2009) (21)
Learning distance metrics for interactive search-assisted diagnosis of mammograms (2007) (21)
Graffiti-ID: matching and retrieval of graffiti images (2009) (21)
A Novel Convergence Analysis for Algorithms of the Adam Family (2021) (20)
Analysis of Distributed Stochastic Dual Coordinate Ascent (2013) (20)
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection (2015) (20)
Learning to Rank Image Tags With Limited Training Examples (2015) (19)
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition (2021) (19)
Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization (2009) (19)
Self-supervised Motion Learning from Static Images (2021) (19)
Publishing Social Network Graph Eigenspectrum With Privacy Guarantees (2020) (19)
Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval (2010) (19)
MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization (2013) (19)
Stochastic Optimization for Kernel PCA (2016) (18)
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions (2018) (18)
A Novel Method Incorporating Gene Ontology Information for Unsupervised Clustering and Feature Selection (2008) (18)
NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization (2017) (18)
Topic Modeling in Semantic Space with Keywords (2015) (18)
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data (2007) (18)
Online Multiple Kernel Similarity Learning for Visual Search. (2013) (18)
Online Bandit Learning for a Special Class of Non-Convex Losses (2015) (18)
Learning to trade off between exploration and exploitation in multiclass bandit prediction (2011) (17)
Online Kernel Selection: Algorithms and Evaluations (2012) (17)
Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression (2012) (17)
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization (2008) (17)
Semi-supervised text categorization by active search (2008) (16)
An efficient key point quantization algorithm for large scale image retrieval (2009) (16)
A Potential-based Framework for Online Multi-class Learning with Partial Feedback (2010) (16)
Large-Scale Training System for 100-Million Classification at Alibaba (2020) (15)
Scaled ReLU Matters for Training Vision Transformers (2021) (15)
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives (2020) (15)
Effective Model Sparsification by Scheduled Grow-and-Prune Methods (2021) (15)
Ordering patterns by combining opinions from multiple sources (2004) (15)
Social Media Modeling and Computing (2011) (14)
Rethinking supervised pre-training for better downstream transferring (2021) (14)
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems (2019) (14)
Stock Constrained Recommendation in Tmall (2015) (14)
Gang and moniker identification by graffiti matching (2011) (14)
Sparse Learning with Stochastic Composite Optimization (2014) (13)
A Practical Online Method for Distributionally Deep Robust Optimization (2020) (12)
Improved Bound for the Nystrom's Method and its Application to Kernel Classification (2011) (12)
Neural Architecture Design for GPU-Efficient Networks (2020) (12)
Online kernel learning with nearly constant support vectors (2016) (12)
Combining Link and Content for Community Detection (2014) (12)
Wearable autonomous microsystem with electrochemical gas sensor array for real-time health and safety monitoring (2012) (12)
Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval (2005) (12)
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement (2019) (11)
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data (2014) (11)
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization (2019) (11)
Theory of Dual-sparse Regularized Randomized Reduction (2015) (11)
Multinomial Logit Bandit with Linear Utility Functions (2018) (11)
A Framework for Incorporating Class Priors into Discriminative Classification (2005) (11)
A statistical framework for query translation disambiguation (2006) (11)
A Bayesian Framework for Community Detection Integrating Content and Link (2009) (11)
A Simple Homotopy Algorithm for Compressive Sensing (2015) (10)
Automatic image annotation (2007) (10)
Robust Online Matching with User Arrival Distribution Drift (2019) (10)
Online Stochastic Optimization with Multiple Objectives (2012) (10)
Tattoo Image Matching and Retrieval (2012) (10)
Random Projection with Filtering for Nearly Duplicate Search (2012) (9)
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling (2015) (9)
Deep Learning at Alibaba (2017) (9)
Efficient Constrained Regret Minimization (2012) (9)
Social Graph Publishing with Privacy Guarantees (2016) (9)
Unsupervised Visual Representation Learning by Online Constrained K-Means (2021) (9)
MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning (2019) (9)
Accelerated Sparse Linear Regression via Random Projection (2016) (9)
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation (2015) (9)
Fast and Accurate Refined Nyström-Based Kernel SVM (2016) (9)
Large-Scale Visual Search with Binary Distributed Graph at Alibaba (2019) (9)
Robust feature induction for support vector machines (2004) (8)
Stochastic Proximal Gradient Methods for Non-smooth Non-Convex Regularized Problems. (2019) (8)
Strongly Adaptive Regret Implies Optimally Dynamic Regret (2017) (8)
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? (2018) (8)
Attentional Biased Stochastic Gradient for Imbalanced Classification (2020) (8)
On Data Preconditioning for Regularized Loss Minimization (2014) (8)
Proceedings of the first SIGMM workshop on Social media (2009) (8)
On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent (2013) (8)
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters (2015) (8)
Privacy and Regression Model Preserved Learning (2014) (8)
A kernel density based approach for large scale image retrieval (2011) (7)
Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering (2007) (7)
WeMix: How to Better Utilize Data Augmentation (2020) (7)
Graph Convolution for Re-Ranking in Person Re-Identification (2021) (7)
Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis (2015) (6)
A Knowledge Driven Regression Model for Gene Expression and Microarray Analysis (2006) (6)
A graph-based framework for relation propagation and its application to multi-label learning (2006) (6)
Excess Risk Bounds for Exponentially Concave Losses (2014) (6)
An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization (2014) (6)
Semi-supervised Collaborative Text Classification (2007) (6)
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice (2021) (5)
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data (2004) (5)
A Novel Approach to Model Generation for Heterogeneous Data Classification (2005) (5)
A Bayesian framework for knowledge driven regression model in micro-array data analysis (2008) (5)
Reconstructing functional neuronal circuits using dynamic Bayesian networks (2008) (5)
Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach (2015) (4)
Passive Learning with Target Risk (2013) (4)
Symmetric Statistical Translation Models for Automatic Image Annotation (2005) (4)
A Pairwise Ensemble Approach for Accurate Genre Classification (2003) (4)
The Opensesame NIST 2016 Speaker Recognition Evaluation System (2017) (4)
Weakly Supervised Representation Learning with Coarse Labels (2020) (4)
A Practical Semi-Parametric Contextual Bandit (2019) (4)
Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses (2019) (4)
Image Retrieval in Forensics : Application to Tattoo Image Database (2011) (4)
Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion (2015) (4)
Semi-Parametric Sampling for Stochastic Bandits with Many Arms (2019) (4)
Semi-Supervised Clustering (2015) (4)
Study of cross lingual information retrieval using on-line translation systems (2005) (4)
An Online Method for Distributionally Deep Robust Optimization (2020) (4)
A smoothed boosting algorithm using probabilistic output codes (2005) (4)
Vision-based Price Suggestion for Online Second-hand Items (2019) (4)
Big Data Analytics: Optimization and Randomization (2015) (3)
An Improved Bound for the Nystrom Method for Large Eigengap (2012) (3)
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks (2021) (3)
Large-scale near-duplicate image retrieval by kernel density estimation (2012) (3)
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance (2019) (3)
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee (2019) (3)
Regret Bound by Variation for Online Convex Optimization (2011) (3)
Binary Excess Risk for Smooth Convex Surrogates (2014) (3)
Identifying and Tracking the number of independent clusters of functionally interdependent neurons from biophysical models of population activity (2007) (3)
Stochastic Proximal Gradient Descent for Nuclear Norm Regularization (2015) (3)
MSU at ImageCLEF: Cross Language and Interactive Image Retrieval (2004) (3)
Large Scale Long-tailed Product Recognition System at Alibaba (2020) (3)
Label propagation for classification and ranking (2007) (3)
Machine learning for information retrieval (2011) (3)
Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks (2009) (2)
Active multiple kernel learning for interactive 3D object retrieval systems (2011) (2)
Towards Making High Dimensional Distance Metric Learning Practical (2015) (2)
Representative entry selection for profiling blogs (2008) (2)
First ACM SIGMM international workshop onsocial media (WSM'09) (2009) (2)
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning (2021) (2)
Communication Efficient SGD via Gradient Sampling with Bayes Prior (2021) (2)
Multi-Task Learning: Multiple Kernels for Multiple Tasks (2010) (2)
Proceedings of second ACM SIGMM workshop on Social media (2010) (2)
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities (2014) (2)
Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property (2014) (2)
Active Algorithm Selection (2007) (2)
A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering (2006) (2)
Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees (2015) (2)
Inferring neuronal functional connectivity using dynamic Bayesian networks (2008) (2)
Similarity Beyond Distance Measurement (2007) (1)
Efficient Algorithm for Localized Support (2010) (1)
Why Does Multi-Epoch Training Help? (2021) (1)
Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network (2008) (1)
Learning Structures (2019) (1)
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion (2019) (1)
Price Suggestion for Online Second-hand Items with Texts and Images (2020) (1)
Sparse Multiple Kernel Learning with Geometric Convergence Rate (2013) (1)
Image Retrieval in Forensics: Tattoo Image Database (2012) (1)
Supplementary Documents for “ Semi-Crowdsource Clustering : Generalizing Crowd Labeling by Robust Distance Metric Learning ” (2012) (1)
Stochastic Optimization of Smooth Loss (2013) (1)
Large-scale Multi-modal Search and QA at Alibaba (2020) (1)
CobBO: Coordinate Backoff Bayesian Optimization (2021) (1)
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval (2015) (1)
Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices (2018) (1)
Improving the Minimax Rate of Active Learning (2013) (1)
CUR Algorithm with Incomplete Matrix Observation (2014) (1)
On the Convergence of Deep Networks with Sample Quadratic Overparameterization (2021) (1)
Learning kernel combination from noisy pairwise constraints (2012) (0)
Supplementary Material : Improved Dynamic Regret for Non-degenerate Functions (2017) (0)
Supplementary Material : Stochastic Optimization for Kernel PCA (2015) (0)
Distributionally Robust Omnichannel Stocking Decisions in Quick Fulfillment Systems (2019) (0)
Learning Phenotype Specific Gene Network by Knowledge Driven Matrix Factorization (2007) (0)
Summary of Current Work on Active Learning (2006) (0)
Semi-supervised learning with side information: graph-based approaches (2007) (0)
Query Translation Disambiguation as Graph Partitioning (2005) (0)
A Kernel Approach to Multi-Task Learning with Task-Specific Kernels (2012) (0)
IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search (2021) (0)
Representation Learning with Fine-grained Patterns (2020) (0)
Data Representation: Learning Kernels from Noisy Data and Uncertain Information (2010) (0)
Assessing temporal and spatial evolution of clusters of functionally interdependent neurons using graph partitioning techniques (2006) (0)
Boosting and online learning for classification and ranking (2010) (0)
Learning from noisily connected data (2012) (0)
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) (2014) (0)
Review on OFS: Online Feature Selection based on Regression Analysis and Clustering Method along with its Application (2020) (0)
Supplementary Material of “ Speedup Matrix Completion with Side Information : Application to Multi-Label Learning ” (2013) (0)
Some contributions to dimensionality reduction (2010) (0)
Beating the Minimax Rate of Active Learning with Prior Knowledge (2013) (0)
Stochastic Optimization with Multiple Objectives (2013) (0)
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity (2020) (0)
Image Tag Completion by Noisy Matrix Recovery Supplementary Document (2014) (0)
A simple homotopy proximal mapping algorithm for compressive sensing (2014) (0)
Decision Making under Stochastic Constraints (2012) (0)
Multi-Task Learning in Square Integrable Space (2011) (0)
A Theoretical Analysis of Learning with Noisily Labeled Data (2021) (0)
Large-scale near-duplicate image retrieval by kernel density estimation (2012) (0)
Supplementary Material : O ( log T ) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions (2013) (0)
Supplementary Material of “ Dynamic Regret of Strongly Adaptive Methods ” (2018) (0)
Introduction to the Special Section on Distance Metric Learning in Intelligent Systems (2012) (0)
Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses (2019) (0)
Price Suggestion for Online Second-hand Items (2021) (0)
Of Information Systems School of Information Systems 8-2012 Online Feature Selection for Mining Big Data (2015) (0)
Large-scale Robust Online Matching and Its Application in E-commerce (2016) (0)
High Probability Bounds for Bandit Stochastic and Adversarial Strongly Convex Optimization (2013) (0)
Learning with Labeled Sessions (2005) (0)
Supplementary Material of "CUR Algorithm for Partially Observed Matrices" (2011) (0)
A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis (2017) (0)
Combi ni ng Li nk and Content for Communi ty Detecti on: A Discriminative Approach (2009) (0)
Robust Graph Structure Learning over Images via Multiple Statistical Tests (2022) (0)
A Simple Homotopy Proximal Mapping for Compressive Sensing (2014) (0)

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