Rong Jin

发表

Interpreting Rhythm in Optical Music Recognition

Christopher Raphael, Rong Jin, Rong Jin, 2012, ISMIR.

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement

Rong Jin, Ming Lin, Xiaomin Song, 2019, KDD.

Multiple Kernel Learning for Visual Object Recognition: A Review

Rong Jin, Anil K. Jain, Serhat Selcuk Bucak, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Probabilistic Approach for Optimizing Spectral Clustering

Chris H. Q. Ding, Rong Jin, Feng Kang, 2005, NIPS.

Tattoo Image Matching and Retrieval

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2012, Computer.

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2015, ICML.

Stochastic Optimization for Kernel PCA

Jinfeng Yi, Rong Jin, Zhi-Hua Zhou, 2016, AAAI.

CUR Algorithm with Incomplete Matrix Observation pdf

Rong Jin, Shenghuo Zhu, 2014, ArXiv.

Efficient Kernel Clustering Using Random Fourier Features

Rong Jin, Anil K. Jain, Radha Chitta, 2012, 2012 IEEE 12th International Conference on Data Mining.

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property

Rong Jin, Changshui Zhang, Ming Lin, 2014, UAI.

Localized Support Vector Machine and Its Efficient Algorithm

Rong Jin, Pang-Ning Tan, Haibin Cheng, 2007, SDM.

Automatic Title Generation for Spoken Broadcast News

Rong Jin, Alexander G. Hauptmann, 2001, HLT.

Semi-Parametric Sampling for Stochastic Bandits with Many Arms

Rong Jin, Shenghuo Zhu, Nan Li, 2019, AAAI.

Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis

Luo Si, Rong Jin, Rong Jin, 2005, PAKDD.

An On-Board External Calibration Method for Aperture Synthesis Radiometer by Rotation

Jian Dong, Qingxia Li, Hong Yang, 2012, IEEE Geoscience and Remote Sensing Letters.

An empirical investigation of user term feedback in text-based targeted image search

Chen Zhang, Rong Jin, Joyce Yue Chai, 2007, TOIS.

A Bayesian Approach toward Active Learning for Collaborative Filtering

Luo Si, Rong Jin, Rong Jin, 2004, UAI.

Stochastic Gradient Descent with Only One Projection

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, NIPS.

Robust Ensemble Clustering by Matrix Completion

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, 2012 IEEE 12th International Conference on Data Mining.

Delay analysis of physical layer key generation in multi-user dynamic wireless networks

Rong Jin, Kai Zeng, Xianru Du, 2014, 2014 IEEE International Conference on Communications (ICC).

Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach

Jinfeng Yi, Rong Jin, Anil K. Jain, 2013, HCOMP.

Regularizing translation models for better automatic image annotation

Rong Jin, Feng Kang, Joyce Yue Chai, 2004, CIKM '04.

Array configuration optimization for Rotating mirrored aperture synthesis (RMAS)

Qingxia Li, Feng Li, Rong Jin, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A learning framework using Green's function and kernel regularization with application to recommender system

Chris H. Q. Ding, Rong Jin, Tao Li, 2007, KDD '07.

Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization

Rong Jin, Xuerui Yang, Yang Zhou, 2009, Bioinform..

Regularized Distance Metric Learning: Theory and Algorithm

Rong Jin, Shijun Wang, Yang Zhou, 2009, NIPS.

Generalized Maximum Margin Clustering and Unsupervised Kernel Learning

Rong Jin, Hamed Valizadegan, Rong Jin, 2006, NIPS.

Fast and Accurate Refined Nyström-Based Kernel SVM

Rong Jin, Tianbao Yang, Lijun Zhang, 2016, AAAI.

Active query selection for semi-supervised clustering

Rong Jin, Anil K. Jain, Pavan Kumar Mallapragada, 2008, 2008 19th International Conference on Pattern Recognition.

Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach

Jinfeng Yi, Rong Jin, Anil K. Jain, 2012, HCOMP@AAAI.

A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent pdf

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2013, ArXiv.

Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems

Yi Liu, Rong Jin, Joyce Yue Chai, 2007, ACL.

Improved Bounds for the Nyström Method With Application to Kernel Classification

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2011, IEEE Transactions on Information Theory.

Online Kernel Selection: Algorithms and Evaluations

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, AAAI.

Delay Analysis of Physical-Layer Key Generation in Dynamic Roadside-to-Vehicle Networks

Rong Jin, Kai Zeng, Xianru Du, 2017, IEEE Transactions on Vehicular Technology.

Improving the Minimax Rate of Active Learning pdf

Rong Jin, Lijun Zhang, Mehrdad Mahdavi, 2013, ArXiv.

Sparse Multiple Kernel Learning with Geometric Convergence Rate pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2013, ArXiv.

SecNFC: Securing inductively-coupled Near Field Communication at physical layer

Rong Jin, Kai Zeng, 2015, 2015 IEEE Conference on Communications and Network Security (CNS).

Improved Bound for the Nystrom's Method and its Application to Kernel Classification pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2011, ArXiv.

Image Classification Using a Bigram Model

Rong Yan, Rong Jin, Alexander G. Hauptmann, 2003 .

Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds

Rong Jin, Tianbao Yang, Lijun Zhang, 2017, COLT.

DR Loss: Improving Object Detection by Distributional Ranking

Rong Jin, Qi Qian, Hao Li, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A graph-based framework for relation propagation and its application to multi-label learning

Rong Jin, Ming Wu, Rong Jin, 2006, SIGIR.

MagPairing: Exploiting magnetometers for pairing smartphones in close proximity

Rong Jin, Prasant Mohapatra, Liu Shi, 2014, 2014 IEEE Conference on Communications and Network Security.

Machine learning for information retrieval

Luo Si, Rong Jin, Rong Jin, 2011, SIGIR.

Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval

Rong Jin, Alexander G. Hauptmann, Alexander Hauptmann, 2001, ICML.

Combining link and content for community detection: a discriminative approach

Yun Chi, Rong Jin, Tianbao Yang, 2009, KDD.

An Extended Level Method for Efficient Multiple Kernel Learning

Zenglin Xu, Rong Jin, Michael R. Lyu, 2008, NIPS.

A congestion control method of SDN data center based on reinforcement learning

Rong Jin, Xiaolin Li, Weiming Wang, 2018, Int. J. Commun. Syst..

Video Retrieval with the Informedia Digital Video Library System

Yanjun Qi, Tobun Dorbin Ng, Rong Jin, 2001, TREC.

Stock Constrained Recommendation in Tmall

Qi Zhang, Rong Jin, Leon Wenliang Zhong, 2015, KDD.

Graffiti-ID: matching and retrieval of graffiti images

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2009, MiFor '09.

Adaptive Regularization for Transductive Support Vector Machine

Zenglin Xu, Rong Jin, Michael R. Lyu, 2009, NIPS.

Online Multiple Kernel Classification

Rong Jin, Tianbao Yang, Steven C. H. Hoi, 2013, Machine Learning.

Online Multiple Kernel Similarity Learning for Visual Search

Rong Jin, Steven C. H. Hoi, Hao Xia, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bayesian Active Distance Metric Learning pdf

Rong Jin, Liu Yang, Rahul Sukthankar, 2007, UAI.

A Bayesian Framework for Community Detection Integrating Content and Link

Yun Chi, Rong Jin, Tianbao Yang, 2009, UAI.

Online learning by ellipsoid method

Jieping Ye, Rong Jin, Liu Yang, 2009, ICML '09.

Distance metric learning from uncertain side information for automated photo tagging

Nenghai Yu, Lei Wu, Rong Jin, 2011, TIST.

Michigan State University at the 2007 TREC ciQA Task

Chen Zhang, Rong Jin, Tyler Baldwin, 2007, TREC.

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

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2012, NIPS.

Binary Excess Risk for Smooth Convex Surrogates pdf

Rong Jin, Lijun Zhang, Mehrdad Mahdavi, 2014, ArXiv.

Rank-based distance metric learning: An application to image retrieval

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A Potential-based Framework for Online Multi-class Learning with Partial Feedback

Rong Jin, Shijun Wang, Hamed Valizadegan, 2010, AISTATS.

Learning to identify video shots with people based on face detection

Rong Jin, Alexander G. Hauptmann, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Active multiple kernel learning for interactive 3D object retrieval systems

Rong Jin, Steven C. H. Hoi, Rong Jin, 2011, ACM Trans. Interact. Intell. Syst..

MagPairing: Pairing Smartphones in Close Proximity Using Magnetometers

Rong Jin, Prasant Mohapatra, Liu Shi, 2016, IEEE Transactions on Information Forensics and Security.

Multi-Task Learning in Square Integrable Space

Wei Wu, Rong Jin, Hang Li, 2011, AAAI.

Semisupervised SVM batch mode active learning with applications to image retrieval

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2009, TOIS.

Semi-supervised SVM batch mode active learning for image retrieval

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Learning to Rank by Optimizing NDCG Measure

Rong Jin, Ruofei Zhang, Jianchang Mao, 2009, NIPS.

A New Boosting Algorithm Using Input-Dependent Regularizer

Luo Si, Rong Jin, Jaime G. Carbonell, 2003, ICML 2003.

Image Retrieval in Forensics: Tattoo Image Database

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2012 .

Large Scale Long-tailed Product Recognition System at Alibaba

Rong Jin, Yun Zheng, Xiangzeng Zhou, 2020, CIKM.

Manipulative Attack Against Physical Layer Key Agreement and Countermeasure

Rong Jin, Kai Zeng, K. Zeng, 2019, IEEE Transactions on Dependable and Secure Computing.

Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee pdf

Jieping Ye, Rong Jin, Xiaomin Song, 2019, AAAI.

Collaborative image retrieval via regularized metric learning

Luo Si, Rong Jin, Michael R. Lyu, 2006, Multimedia Systems.

Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization

Rong Jin, Lijun Zhang, Mehrdad Mahdavi, 2015, COLT.

Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering

Nenghai Yu, Lei Wu, Rong Jin, 2009, NIPS.

Practical Secret Key Agreement for Full-Duplex Near Field Communications

Rong Jin, Xianru Du, Jing Xu, 2016, IEEE Trans. Mob. Comput..

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? pdf

Rong Jin, Tianbao Yang, Yan Yan, 2018, ArXiv.

Data Analysis for a Multimedia Library

Rong Jin, Howard D. Wactlar, Alexander G. Hauptmann, 2000, ELSNET Summer School.

On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles

Rong Jin, Karim G. Oweiss, Yang Zhou, 2010, Neural Computation.

Web image retrieval re-ranking with relevance model

Rong Jin, Wei-Hao Lin, Alexander G. Hauptmann, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization

Rong Jin, Liu Yang, Rahul Sukthankar, 2008, NIPS.

Design and Implementation of an Open Programmable Router Compliant to IETF ForCES Specifications

Rong Jin, Weiming Wang, Ligang Dong, 2007, Sixth International Conference on Networking (ICN'07).

Approximate kernel k-means: solution to large scale kernel clustering

Rong Jin, Anil K. Jain, Timothy C. Havens, 2011, KDD.

Privacy and Regression Model Preserved Learning

Jun Wang, Jinfeng Yi, Rong Jin, 2014, AAAI.

Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses

Rong Jin, David Simchi-Levi, Sen Yang, 2019, Manag. Sci..

Online feature selection for mining big data

Rong Jin, Steven C. H. Hoi, Jialei Wang, 2012, BigMine '12.

A New Pairwise Ensemble Approach for Text Classification

Rong Jin, Jaime G. Carbonell, Yan Liu, 2003, ECML.

A unified log-based relevance feedback scheme for image retrieval

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2006 .

Top Rank Optimization in Linear Time

Rong Jin, Zhi-Hua Zhou, Nan Li, 2014, NIPS.

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data

Jun Wang, Jinfeng Yi, Rong Jin, 2014, ICML.

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

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, NIPS.

Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL)

Rong Jin, B. Prabhakaran, Kevin Desai, 2017, 2017 IEEE Third International Conference on Multimedia Big Data (BigMM).

Query Translation Disambiguation as Graph Partitioning

Yi Liu, Rong Jin, Rong Jin, 2005, AAAI.

A smoothed boosting algorithm using probabilistic output codes

Rong Jin, Jian Zhang, 2005, ICML '05.

Breakout Prediction System Based on Combined Neural Network in Continuous Casting

Rong Jin, Dawei Liu, Xin Jin, 2012 .

Boosting multi-kernel locality-sensitive hashing for scalable image retrieval

Rong Jin, Steven C. H. Hoi, Hao Xia, 2012, SIGIR '12.

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization

Rong Jin, Hao Yu, Sen Yang, 2019, ICML.

Big Data Analytics: Optimization and Randomization

Rong Jin, Tianbao Yang, Qihang Lin, 2015, KDD.

Scalable Kernel Clustering: Approximate Kernel k-means pdf

Rong Jin, Anil K. Jain, Timothy C. Havens, 2014, ArXiv.

Data Representation: Learning Kernels from Noisy Data and Uncertain Information

Rong Jin, Anil K. Jain, 2010 .

Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices

Bin Wang, Rong Jin, Xiaogang Jin, 2018, ECCV Workshops.

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

Rong Jin, Jiawei Han, Tianbao Yang, 2012, ICML.

On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization

Rong Jin, Tianbao Yang, Sen Yang, 2019, IJCAI.

Passive Learning with Target Risk pdf

Rong Jin, Mehrdad Mahdavi, Rong Jin, 2013, COLT.

A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering

Rong Jin, Karim G. Oweiss, Yasir Suhail, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

Rong Jin, Tianbao Yang, Qihang Lin, 2018, ICML.

A New Probabilistic Model for Title Generation

Rong Jin, Alexander G. Hauptmann, 2002, COLING.

Active kernel learning

Rong Jin, Steven C. H. Hoi, 2008, ICML '08.

Online Stochastic Optimization with Multiple Objectives pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2012, ArXiv.

Title Generation Using a Training Corpus

Rong Jin, Alexander G. Hauptmann, 2001, CICLing.

A Robust Regularization Kernel Regression Algorithm for Passive Millimeter Wave Imaging Target Detection

Hong Yang, Rong Jin, Ke Chen, 2012, IEEE Geoscience and Remote Sensing Letters.

Active Learning by Querying Informative and Representative Examples

Rong Jin, Zhi-Hua Zhou, Sheng-Jun Huang, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Rong Jin, Karim G. Oweiss, Seif Eldawlatly, 2009, Neural Computation.

Finding multiple stable clusterings

Jian Pei, Rong Jin, Qi Qian, 2016, Knowledge and Information Systems.

Probabilistic combination of content and links

Susan T. Dumais, Rong Jin, 2001, SIGIR '01.

Title Generation for Machine-Translated Documents

Rong Jin, Alexander G. Hauptmann, 2001, IJCAI.

Image Tag Completion by Noisy Matrix Recovery

Rong Jin, Anil K. Jain, Songhe Feng, 2014, ECCV.

Semi-Supervised Clustering

Rong Jin, Anil K. Jain, Radha Chitta, 2015 .

Distance metric learning using dropout: a structured regularization approach

Jian Pei, Rong Jin, Qi Qian, 2014, KDD.

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion

Jinfeng Yi, Rong Jin, Qi Qian, 2013, ICML.

Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems

Rong Jin, Hui Li, Wei Cheng, 2019, Mob. Inf. Syst..

Accelerated Sparse Linear Regression via Random Projection

Rong Jin, Deng Cai, Xiaofei He, 2016, AAAI.

Visual Search at Alibaba

Rong Jin, Yanhao Zhang, Yun Zheng, 2018, KDD.

Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)

Jinfeng Yi, Rong Jin, Qi Qian, 2013, Machine Learning.

Speedup Matrix Completion with Side Information: Application to Multi-Label Learning

Miao Xu, Rong Jin, Zhi-Hua Zhou, 2013, NIPS.

Ranking refinement and its application to information retrieval

Hang Li, Rong Jin, Hamed Valizadegan, 2008, WWW.

Physical layer key agreement under signal injection attacks

Rong Jin, Kai Zeng, K. Zeng, 2015, 2015 IEEE Conference on Communications and Network Security (CNS).

Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion

Zhi-Hua Zhou, Rong Jin, Tianbao Yang, 2019, J. Mach. Learn. Res..

Study of cross lingual information retrieval using on-line translation systems

Rong Jin, Joyce Yue Chai, 2005, SIGIR '05.

Video retrieval using speech and image information

Tobun Dorbin Ng, Rong Jin, Alexander G. Hauptmann, 2003, IS&T/SPIE Electronic Imaging.

Semi-Supervised Ensemble Ranking

Rong Jin, Steven C. H. Hoi, Rong Jin, 2008, AAAI.

On predicting rare classes with SVM ensembles in scene classification

Rong Yan, Rong Jin, Yan Liu, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Large-Scale Distance Metric Learning with Uncertainty

Rong Jin, Qi Qian, Shenghuo Zhu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Image Retrieval in Forensics : Application to Tattoo Image Database

Sheng Zhong, Rong Jin, Anil K. Jain, 2011 .

7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS

Rong Jin, Long Chen, Jun He, 2020, 2020 IEEE International Solid- State Circuits Conference - (ISSCC).

Efficient multi-label ranking for multi-class learning: Application to object recognition

Rong Jin, Anil K. Jain, Serhat Selcuk Bucak, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees pdf

Rong Jin, Tianbao Yang, Qihang Lin, 2015, ArXiv.

Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering

Rong Jin, Karim G. Oweiss, Yasir Suhail, 2007, Neurocomputing.

Online AUC Maximization

Rong Jin, Tianbao Yang, Steven C. H. Hoi, 2011, ICML.

Efficient Algorithms for Robust One-bit Compressive Sensing

Jinfeng Yi, Rong Jin, Lijun Zhang, 2014, ICML.

A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks

Yihong Gong, Yun Chi, Rong Jin, 2009, SDM.

Stochastic Convex Optimization with Multiple Objectives

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2013, NIPS.

Publishing Social Network Graph Eigenspectrum With Privacy Guarantees

Rong Jin, Alex X. Liu, Faraz Ahmed, 2020, IEEE Transactions on Network Science and Engineering.

A Faster Iterative Scaling Algorithm for Conditional Exponential Model

Rong Yan, Rong Jin, Alexander G. Hauptmann, 2003, ICML.

Efficient Convex Relaxation for Transductive Support Vector Machine

Zenglin Xu, Rong Jin, Michael R. Lyu, 2007, NIPS.

A smart method of optimizing the read/write current on PCM array

Rong Jin, Qian Wang, Xi Li, 2014, IEICE Electron. Express.

Trading regret for efficiency: online convex optimization with long term constraints pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2011, J. Mach. Learn. Res..

Analysis of Distributed Stochastic Dual Coordinate Ascent

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2013, 1312.1031.

Learning from Noisy Side Information by Generalized Maximum Entropy Model

Rong Jin, Tianbao Yang, Anil K. Jain, 2010, ICML.

Deep Learning at Alibaba

Rong Jin, Rong Jin, 2017, IJCAI.

Excess Risk Bounds for Exponentially Concave Losses pdf

Rong Jin, Mehrdad Mahdavi, Rong Jin, 2014, ArXiv.

Robust feature induction for support vector machines

Huan Liu, Rong Jin, 2004, ICML '04.

Linguistic theories in efficient multimodal reference resolution: an empirical investigation

Rong Jin, Joyce Yue Chai, Zahar Prasov, 2005, IUI.

Rong Jin, Rahul Sukthankar, Feng Kang, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Learning distance metrics for interactive search-assisted diagnosis of mammograms

Rong Jin, Mei Chen, Mahadev Satyanarayanan, 2007, SPIE Medical Imaging.

Linear Convergence with Condition Number Independent Access of Full Gradients

Rong Jin, Lijun Zhang, Mehrdad Mahdavi, 2013, NIPS.

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems

Rong Jin, Zhi-Hua Zhou, Steven C. H. Hoi, 2012, TIST.

A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval

Rong Jin, Mahadev Satyanarayanan, Steven C. H. Hoi, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Optimization over Multiple Domains

Rong Jin, Qi Qian, Shenghuo Zhu, 2018, AAAI.

Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2005, 21st International Conference on Data Engineering Workshops (ICDEW'05).

Stochastic Proximal Gradient Descent for Nuclear Norm Regularization pdf

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, ArXiv.

Learning with Multiple Labels

Rong Jin, Zoubin Ghahramani, Zoubin Ghahramani, 2002, NIPS.

Unsupervised transfer classification: application to text categorization

Rong Jin, Tianbao Yang, Anil K. Jain, 2010, KDD.

Combi ni ng Li nk and Content for Communi ty Detecti on: A Discriminative Approach

Yun Chi, Rong Jin, Tianbao Yang, 2009 .

Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses pdf

Rong Jin, Sen Yang, Li Wang, 2019, ArXiv.

A Kernel Approach to Multi-Task Learning with Task-Specific Kernels

Wei Wu, Rong Jin, Hang Li, 2012, Journal of Computer Science and Technology.

Tag Completion for Image Retrieval

Lei Wu, Rong Jin, Anil K. Jain, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research on Downlink Precoding for Interference Cancellation in Massive MIMO Heterogeneous UDN

Rong Jin, Jing Jiang, Hua He He, 2018 .

Learn to weight terms in information retrieval using category information

Luo Si, Rong Jin, Joyce Yue Chai, 2005, ICML.

A Novel Approach to Model Generation for Heterogeneous Data Classification

Huan Liu, Rong Jin, Rong Jin, 2005, IJCAI.

Graph-Based Rhythm Interpretation

Christopher Raphael, Rong Jin, Rong Jin, 2015, ISMIR.

Online Multiple Kernel Learning: Algorithms and Mistake Bounds

Rong Jin, Tianbao Yang, Steven C. H. Hoi, 2010, ALT.

Online visual vocabulary pruning using pairwise constraints

Rong Jin, Anil K. Jain, Pavan Kumar Mallapragada, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Practical Secret Key Agreement for Full-Duplex Near Field Communications

Rong Jin, Kai Zeng, Xianru Du, 2014, IEEE Transactions on Mobile Computing.

Semi-supervised Collaborative Text Classification

Rong Jin, Ming Wu, Rahul Sukthankar, 2007, ECML.

Collaborative filtering with decoupled models for preferences and ratings

Luo Si, Rong Jin, ChengXiang Zhai, 2003, CIKM '03.

Scaffolded Training Environment for Physics Programming (STEPP): Modeling High School Physics using Concept Maps and State Machines

Rong Jin, Midori Kitagawa, Paul Fishwick, 2019, SIGSIM-PADS.

A statistical framework for query translation disambiguation

Yi Liu, Rong Jin, Joyce Yue Chai, 2006, TALIP.

Combining Link and Content for Community Detection

Yun Chi, Rong Jin, Tianbao Yang, 2014, Encyclopedia of Social Network Analysis and Mining.

Triggering Memories of Conversations using Multimodal Classifiers

Rong Jin, Wei-Hao Lin, Alexander G. Hauptmann, 2002 .

Robust Online Matching with User Arrival Distribution Drift

Rong Jin, Chen Liang, Shenghuo Zhu, 2019, AAAI.

Multi-label Multiple Kernel Learning

Jieping Ye, Rong Jin, Liang Sun, 2008, NIPS.

Large-scale text categorization by batch mode active learning

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2006, WWW '06.

LearnDNA: an interactive VR application for learning DNA structure

Rong Jin, B. Prabhakaran, Murry Gans, 2018, IWISC.

Missing Modalities Imputation via Cascaded Residual Autoencoder

Jiayu Zhou, Rong Jin, Xiaoming Liu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning from noisily connected data

Rong Jin, Tianbao Yang, Tianbao Yang, 2012 .

Learning to trade off between exploration and exploitation in multiclass bandit prediction

Rong Jin, Shijun Wang, Hamed Valizadegan, 2011, KDD.

Semi-supervised learning with side information: graph-based approaches

Rong Jin, Yi Liu, 2007 .

Title generation for spoken broadcast news using a training corpus

Rong Jin, Alexander G. Hauptmann, Alexander Hauptmann, 2000, INTERSPEECH.

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization

Yiming Yang, Rong Jin, Alexander G. Hauptmann, 2003, ICML.

An Information Geometry Approach for Distance Metric Learning

Rong Jin, Shijun Wang, 2009, AISTATS.

The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis

Rong Jin, Zhaoqing Wang, Hong Zhuang, 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2007, PCM.

Random Projection with Filtering for Nearly Duplicate Search

Rong Jin, Deng Cai, Xiaofei He, 2012, AAAI.

Large-scale Robust Online Matching and Its Application in E-commerce

Rong Jin, 2016, CIKM.

Compressed Hashing

Xuelong Li, Rong Jin, Shuicheng Yan, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Representative entry selection for profiling blogs

Rong Jin, Steven C. H. Hoi, Aixin Sun, 2008, CIKM '08.

Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering

Rong Jin, Anil K. Jain, Timothy C. Havens, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

An atomic capability chain composition method

Rong Jin, Ligang Dong, Zhongyun Tang, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Title language model for information retrieval

Rong Jin, ChengXiang Zhai, Alexander G. Hauptmann, 2002, SIGIR '02.

Video Classification and Retrieval with the Informedia Digital Video Library System

Yanjun Qi, Rong Yan, Tobun Dorbin Ng, 2002, TREC.

Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology

Rong Jin, Jinjing Zhao, Xiaohui Kuang, 2018, NPC.

Double Updating Online Learning

Rong Jin, Steven C. H. Hoi, Peilin Zhao, 2011, J. Mach. Learn. Res..

Learning kernel combination from noisy pairwise constraints

Rong Jin, Tianbao Yang, Anil K. Jain, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Learning with Labeled Sessions

Huan Liu, Rong Jin, 2005, IJCAI.

A unified log-based relevance feedback scheme for image retrieval

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2006, IEEE Transactions on Knowledge and Data Engineering.

Multi-label learning with incomplete class assignments

Rong Jin, Anil K. Jain, Serhat Selcuk Bucak, 2011, CVPR 2011.

Similarity Beyond Distance Measurement

Rong Jin, Steven C. H. Hoi, Feng Kang, 2007, RIAO.

Semi-Supervised Boosting for Multi-Class Classification

Rong Jin, Anil K. Jain, Hamed Valizadegan, 2008, ECML/PKDD.

MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization pdf

Rong Jin, Mehrdad Mahdavi, Rong Jin, 2013, ArXiv.

Gang and moniker identification by graffiti matching

Rong Jin, Anil K. Jain, Wei Tong, 2011, MiFor '11.

A reconfigurable system of routing and switching node based on ATC

Rong Jin, Chengming Huang, Chuanhuang Li, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Renotation from Optical Music Recognition

Liang Chen, Christopher Raphael, Rong Jin, 2015, MCM.

Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model

Luo Si, Rong Jin, 2004, CIKM '04.

A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis

Rong Jin, Tianbao Yang, Lijun Zhang, 2017, AAAI.

Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning

Rong Jin, Anil K. Jain, Zheyun Feng, 2013, 2013 IEEE International Conference on Computer Vision.

Semi-Supervised Learning by Mixed Label Propagation

Rong Jin, Wei Tong, Rong Jin, 2007, AAAI.

Prediction of the Main Girths of Young Female Based on 3D Point Cloud Data

Rong Jin, Guo-Lian Liu, Cai-Yuan Kuang, 2012 .

Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation

Zenglin Xu, Rong Jin, Bin Shen, 2015, AAAI.

Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis

Rong Jin, Jin Chen, Qiaozi Gao, 2015, Bioinform..

An Improved Bound for the Nystrom Method for Large Eigengap pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2012, ArXiv.

On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization pdf

Rong Jin, Hao Yu, Rong Jin, 2019, ICML.

Error model and calibration of synthetic aperture interferometric radiometer based on visibility function

Hong Yang, Rong Jin, Wei Guo, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Price Suggestion for Online Second-hand Items with Texts and Images

Rong Jin, Liang Han, Zhaozheng Yin, 2020, ACM Multimedia.

Active Algorithm Selection

Rong Jin, Feilong Chen, 2007, AAAI.

Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters

Rong Jin, Anil K. Jain, Radha Chitta, 2015, PIKM@CIKM.

Online kernel learning with nearly constant support vectors

Rong Jin, Changshui Zhang, Ming Lin, 2016, Neurocomputing.

Mixed Optimization for Smooth Functions

Rong Jin, Lijun Zhang, Mehrdad Mahdavi, 2013, NIPS.

Ordering patterns by combining opinions from multiple sources

Rong Jin, Pang-Ning Tan, P. Tan, 2004, KDD.

Regret bounded by gradual variation for online convex optimization

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2014, Machine Learning.

Strongly Adaptive Regret Implies Optimally Dynamic Regret pdf

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2017, ArXiv.

Topic Modeling in Semantic Space with Keywords

Rong Jin, Gui-Rong Xue, Gangshan Wu, 2015, CIKM.

Effective automatic image annotation via a coherent language model and active learning

Luo Si, Rong Jin, Joyce Yue Chai, 2004, MULTIMEDIA '04.

Optimization of periphery circuits in a 1K-bit PCRAM chip for highly reliable write and read operations

Rong Jin, Qian Wang, Xi Li, 2014, IEICE Electron. Express.

An automatic weighting scheme for collaborative filtering

Luo Si, Rong Jin, Joyce Yue Chai, 2004, SIGIR '04.

Learning nonparametric kernel matrices from pairwise constraints

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2007, ICML '07.

Video Information Retrieval: Lessons Learned with the Informedia Digital Video Library

Rong Jin, Alexander G. Hauptmann, Alexander Hauptmann, 2002 .

Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2009, IEEE Transactions on Knowledge and Data Engineering.

Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion pdf

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, ArXiv.

Simple and Efficient Multiple Kernel Learning by Group Lasso

Zenglin Xu, Rong Jin, Michael R. Lyu, 2010, ICML.

Directed Network Community Detection: A Popularity and Productivity Link Model

Yihong Gong, Yun Chi, Rong Jin, 2010, SDM.

Rong Jin, Qi Qian, Shenghuo Zhu, 2015, ArXiv.

Sparse Learning with Stochastic Composite Optimization

Xuelong Li, Rong Jin, Zhongming Jin, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Provide IPv4 Service Using Pure IPv6 Servers with Stateless NAT64 Translator

Rong Jin, Xing Li, CongXiao Bao, 2014, 2014 9th IEEE International Conference on Networking, Architecture, and Storage.

Statistical approaches toward automatic title generation

Rong Jin, 2003, SIGF.

79.Design Research on Open MOOC Platform

Rong Jin, 2017 .

Of Information Systems School of Information Systems 8-2012 Online Feature Selection for Mining Big Data

Rong Jin, Steven C. H. Hoi, Peilin Zhao, 2015 .

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient

Jinfeng Yi, Rong Jin, Tianbao Yang, 2016, ICML.

Human-Guided Recognition of Music Score Images

Liang Chen, Christopher Raphael, Rong Jin, 2017, DLfM.

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization pdf

Rong Jin, Qi Qian, Shenghuo Zhu, 2014, ArXiv.

Using a probabilistic source model for comparing images

Rong Jin, Alexander G. Hauptmann, Alexander Hauptmann, 2002, Proceedings. International Conference on Image Processing.

Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling

Rong Jin, Anil K. Jain, Radha Chitta, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

SemiBoost: Boosting for Semi-Supervised Learning

Yi Liu, Rong Jin, Anil K. Jain, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Beating the Minimax Rate of Active Learning with Prior Knowledge

Rong Jin, Lijun Zhang, Mehrdad Mahdavi, 2013 .

CUR Algorithm for Partially Observed Matrices pdf

Miao Xu, Rong Jin, Zhi-Hua Zhou, 2014, ICML.

Distance metric learning from uncertain side information with application to automated photo tagging

Nenghai Yu, Lei Wu, Rong Jin, 2009, ACM Multimedia.

Multinomial Logit Bandit with Linear Utility Functions

Rong Jin, Shenghuo Zhu, Nan Li, 2018, IJCAI.

The Opensesame NIST 2016 Speaker Recognition Evaluation System

Gang Liu, Jian Xue, Rong Jin, 2017, INTERSPEECH.

Smooth Optimization for Effective Multiple Kernel Learning

Zenglin Xu, Rong Jin, Michael R. Lyu, 2010, AAAI.

A simple homotopy proximal mapping algorithm for compressive sensing

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2014, Machine Learning.

Towards Making High Dimensional Distance Metric Learning Practical pdf

Rong Jin, Qi Qian, Shenghuo Zhu, 2015, ArXiv.

Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network

Rong Jin, Zheng Li, Yang Zhou, 2008, AAAI.

Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities

Rong Jin, Tianbao Yang, 2014, NIPS.

Large-scale near-duplicate image retrieval by kernel density estimation

Rong Jin, Anil K. Jain, Wei Tong, 2012, International Journal of Multimedia Information Retrieval.

Efficient Constrained Regret Minimization pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2012, ArXiv.

A Bayesian framework for knowledge driven regression model in micro-array data analysis

Luo Si, Rong Jin, Christina Chan, 2008, Int. J. Data Min. Bioinform..

Preference-based Graphic Models for Collaborative Filtering

Luo Si, Rong Jin, ChengXiang Zhai, 2002, UAI.

A probabilistic model for camera zoom detection

Yanjun Qi, Rong Jin, Alexander G. Hauptmann, 2002, Object recognition supported by user interaction for service robots.

An efficient key point quantization algorithm for large scale image retrieval

Rong Jin, Anil K. Jain, Wei Tong, 2009, LS-MMRM '09.

Fine-grained visual categorization via multi-stage metric learning

Rong Jin, Qi Qian, Shenghuo Zhu, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, ALT.

Wearable autonomous microsystem with electrochemical gas sensor array for real-time health and safety monitoring

Rong Jin, Zhe Wang, Min Guo, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Random Projections for Classification: A Recovery Approach

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2014, IEEE Transactions on Information Theory.

Batch mode active learning and its application to medical image classification

Rong Jin, Michael R. Lyu, Steven C. H. Hoi, 2006, ICML.

Stochastic Optimization of Smooth Loss pdf

Rong Jin, 2013, ArXiv.

A Framework for Incorporating Class Priors into Discriminative Classification

Yi Liu, Rong Jin, 2005, PAKDD.

Multimedia Search with Pseudo-relevance Feedback

Rong Yan, Rong Jin, Alexander G. Hauptmann, 2003, CIVR.

Non-parametric Mixture Models for Clustering

Rong Jin, Anil K. Jain, Pavan Kumar Mallapragada, 2010, SSPR/SPR.

Online Bandit Learning for a Special Class of Non-Convex Losses

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, AAAI.

Pseudo-Relevance Feedback for Multimedia Retrieval

Rong Yan, Rong Jin, Alexander G. Hauptmann, 2003 .

Learning with Non-Convex Truncated Losses by SGD

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2018, UAI.

Physical layer multi-user key generation in wireless networks

Rong Jin, Kai Zeng, 2018, Wirel. Networks.

Large-scale Multi-modal Search and QA at Alibaba

Rong Jin, 2020, SIGIR.

Multiple Kernel Learning from Noisy Labels by Stochastic Programming pdf

Rong Jin, Tianbao Yang, Lijun Zhang, 2012, ICML.

Array Configuration Design of One-Dimensional Mirrored Interferometric Aperture Synthesis

Jian Dong, Hong Yang, Rong Jin, 2012, IEEE Geoscience and Remote Sensing Letters.

Sensor Localization in an Obstructed Environment

Rong Jin, Xiao Li, Wang Chen, 2005, DCOSS.

Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks

Rong Jin, Yang Zhou, Karim G. Oweiss, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust Metric Learning by Smooth Optimization

Zenglin Xu, Rong Jin, Kaizhu Huang, 2010, UAI.

A Pairwise Ensemble Approach for Accurate Genre Classification

Rong Jin, Jaime G. Carbonell, Yan Liu, 2003 .

Multi-Class Learning by Smoothed Boosting

Rong Jin, Jian Zhang, Rong Jin, 2007, Machine Learning.

Image Retrieval in Forensics: Tattoo Image Database Application

Rong Jin, Anil K. Jain, Wei Tong, 2012, IEEE MultiMedia.

Efficient Online Learning for Large-scale Sparse Kernel Logistic Regression

Chun Chen, Jiajun Bu, Rong Jin, 2022 .

Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition

Rong Jin, Anil K. Jain, Serhat Selcuk Bucak, 2010, NIPS.

A language modeling framework for resource selection and results merging

Luo Si, Rong Jin, James P. Callan, 2002, CIKM '02.

BoostCluster: boosting clustering by pairwise constraints

Yi Liu, Rong Jin, Anil K. Jain, 2007, KDD '07.

An Efficient Algorithm for Local Distance Metric Learning

Yi Liu, Rong Jin, Liu Yang, 2006, AAAI.

A study of mixture models for collaborative filtering

Luo Si, Rong Jin, ChengXiang Zhai, 2006, Information Retrieval.

Language model for IR using collection information

Luo Si, Rong Jin, James P. Callan, 2002, SIGIR '02.

A Bayesian reconstruction algorithm for synthesis aperture imaging radiometer

Hong Yang, Rong Jin, Ke Chen, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

User term feedback in interactive text-based image retrieval

Chen Zhang, Rong Jin, Joyce Yue Chai, 2005, SIGIR '05.

Information retrieval for OCR documents: a content-based probabilistic correction model

Rong Jin, ChengXiang Zhai, Alexander G. Hauptmann, 2003, IS&T/SPIE Electronic Imaging.

Theory of Dual-sparse Regularized Randomized Reduction

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2015, ICML.

Exploitation and exploration in a performance based contextual advertising system

Wei Li, Ying Cui, Rong Jin, 2010, KDD.

Learning Accurate Entropy Model with Global Reference for Image Compression pdf

Rong Jin, Hao Li, Yichen Qian, 2020, ICLR.

Discount allocation for cost minimization in online social networks

Weili Wu, Rong Jin, Chuanhe Huang, 2020 .

Semi-supervised text categorization by active search

Zenglin Xu, Rong Jin, Michael R. Lyu, 2008, CIKM '08.

A Simple Homotopy Algorithm for Compressive Sensing

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, AISTATS.

A probabilistic representation for efficient large scale visual recognition tasks

Mubarak Shah, Rong Jin, Rahul Sukthankar, 2011, CVPR 2011.

A Simple Homotopy Proximal Mapping for Compressive Sensing pdf

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2014, ArXiv.

Multi-modal information retrieval from broadcast video using OCR and speech recognition

Tobun Dorbin Ng, Rong Jin, Alexander G. Hauptmann, 2002, JCDL '02.

25th Annual Conference on Learning Theory Online Optimization with Gradual Variations

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2022 .

Unifying discriminative visual codebook generation with classifier training for object category recognition

Rong Jin, Liu Yang, Frédéric Jurie, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A Practical Semi-Parametric Contextual Bandit

Rong Jin, Xuying Meng, Jiahao Liu, 2019, IJCAI.

A kernel density based approach for large scale image retrieval

Rong Jin, Tianbao Yang, Anil K. Jain, 2011, ICMR.

Fuzzy vault based automatic secret sharing in body sensor networks

Rong Jin, Yang Lu, Meng Chen, 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

A Hybrid Calibration Method for Aperture Synthesis Radiometers

Qingxia Li, Rong Jin, Ke Chen, 2016, IEEE Geoscience and Remote Sensing Letters.

Social Graph Publishing with Privacy Guarantees

Rong Jin, Alex X. Liu, Faraz Ahmed, 2016, 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS).

Correction of SMOS data in coastal area of South China Sea based on land contamination analysis

Qingxia Li, Rong Jin, Yan Li, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

QoE Studies on Interactive 3D Tele-Immersion

Rong Jin, B. Prabhakaran, Kevin Desai, 2017, 2017 IEEE International Symposium on Multimedia (ISM).

Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data

Rong Jin, Liu Yang, Rahul Sukthankar, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A compensation method to improve the performance of IPI-based entity recognition system in body sensor networks

Peng An, Rong Jin, Shu-Di Bao, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Optical music recognition on the International Music Score Library Project

Christopher Raphael, Rong Jin, 2013, Electronic Imaging.

CMU Spoken Document Retrieval in Trec-8: Analysis of the role of Term Frequency TF

Rong Jin, Alexander G. Hauptmann, Matthew Siegler, 1999, TREC.

On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent pdf

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2013, ArXiv.

Recovering the Optimal Solution by Dual Random Projection

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2012, COLT.

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions pdf

Rong Jin, Tianbao Yang, Xiaofei He, 2013, ICML.

DUOL: A Double Updating Approach for Online Learning

Rong Jin, Steven C. H. Hoi, Peilin Zhao, 2009, NIPS.

Automated annotation of Drosophila gene expression patterns using a controlled vocabulary

Jieping Ye, Rong Jin, Liang Sun, 2008, Bioinform..

Regret Bound by Variation for Online Convex Optimization pdf

Rong Jin, Tianbao Yang, Mehrdad Mahdavi, 2011, ArXiv.

Learning to Rank Image Tags With Limited Training Examples

Rong Jin, Songhe Feng, Zheyun Feng, 2015, IEEE Transactions on Image Processing.

Research on ForCES Configuration Management Based on NETCONF

Rong Jin, Ligang Dong, Lei Zhou, 2014 .

Non-monotonic feature selection

Zenglin Xu, Jieping Ye, Rong Jin, 2009, ICML '09.

Online Feature Selection and Its Applications

Rong Jin, Steven C. H. Hoi, Jialei Wang, 2014, IEEE Transactions on Knowledge and Data Engineering.

Detecting communities and their evolutions in dynamic social networks—a Bayesian approach

Yihong Gong, Yun Chi, Rong Jin, 2011, Machine Learning.

Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2010, 2010 20th International Conference on Pattern Recognition.

Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization

Yi Liu, Rong Jin, Liu Yang, 2006, AAAI.

Efficient Algorithm for Localized Support Vector Machine

Rong Jin, Pang-Ning Tan, Haibin Cheng, 2010, IEEE Transactions on Knowledge and Data Engineering.

A maximum coherence model for dictionary-based cross-language information retrieval

Yi Liu, Rong Jin, Joyce Yue Chai, 2005, SIGIR '05.

Efficient Algorithm for Localized Support

Rong Jin, Pang-Ning Tan, Haibin Cheng, 2010 .

First ACM SIGMM international workshop onsocial media (WSM'09)

Dong Xu, Jiebo Luo, Rong Jin, 2009, MM '09.

Online Kernel Learning with a Near Optimal Sparsity Bound

Jinfeng Yi, Rong Jin, Xiaofei He, 2013, ICML.

A Random Matrix Approach to Differential Privacy and Structure Preserved Social Network Graph Publishing pdf

Rong Jin, Alex X. Liu, Faraz Ahmed, 2013, ArXiv.

Understanding bag-of-words model: a statistical framework

Rong Jin, Zhi-Hua Zhou, Yin Zhang, 2010, Int. J. Mach. Learn. Cybern..

Exclusive Lasso for Multi-task Feature Selection

Rong Jin, Steven C. H. Hoi, Yang Zhou, 2010, AISTATS.

SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data

Huan Liu, Rong Jin, 2004, ECML.

Dynamic Regret of Strongly Adaptive Methods

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2017, ICML.

Content-based image retrieval: An application to tattoo images

Rong Jin, Anil K. Jain, Jung-Eun Lee, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Finding multiple stable clusterings

Jian Pei, Rong Jin, Qi Qian, 2015, 2015 IEEE International Conference on Data Mining.

Calibration of staggered Y-shaped array by 120 degree rotation

Jian Dong, Qingxia Li, Hong Yang, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Meta-scoring: automatically evaluating term weighting schemes in IR without precision-recall

Rong Jin, Alexander G. Hauptmann, Christos Falusos, 2001, SIGIR '01.

Flexible Mixture Model for Collaborative Filtering

Luo Si, Rong Jin, Rong Jin, 2003, ICML.

Large-Scale Training System for 100-Million Classification at Alibaba

Rong Jin, Kang Zhao, Yingya Zhang, 2020, KDD.

Symmetric Statistical Translation Models for Automatic Image Annotation

Rong Jin, Feng Kang, 2005, SDM.

Combining Link and Content for Community Detection

Yun Chi, Rong Jin, Tianbao Yang, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

MSU at ImageCLEF: Cross Language and Interactive Image Retrieval

Chen Zhang, Rong Jin, Joyce Yue Chai, 2004, CLEF.

Negative pseudo-relevance feedback in content-based video retrieval

Rong Yan, Rong Jin, Alexander G. Hauptmann, 2003, MULTIMEDIA '03.

Learning Bregman Distance Functions for Semi-Supervised Clustering

Nenghai Yu, Lei Wu, Rong Jin, 2012, IEEE Transactions on Knowledge and Data Engineering.

A novel auxiliary-free zero inductor current detection scheme for step down non-isolated LED driver

Rong Jin, Qian Wang, Xi Li, 2014, IEICE Electron. Express.

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition pdf

Hao Li, Rong Jin, Pichao Wang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Scaled ReLU Matters for Training Vision Transformers pdf

Rong Jin, Jingkai Zhou, Zhipeng Zhou, 2021, AAAI.

Dash: Semi-Supervised Learning with Dynamic Thresholding

Rong Jin, Qi Qian, Baigui Sun, 2021, ICML.

A Novel Convergence Analysis for Algorithms of the Adam Family pdf

Rong Jin, Tianbao Yang, Wotao Yin, 2021, ArXiv.

Effective Model Sparsification by Scheduled Grow-and-Prune Methods pdf

Rong Jin, Xiaolong Ma, Zejiang Hou, 2021, ICLR.

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation pdf

Rong Jin, Tongkun Xu, Hao Li, 2021, ArXiv.

Graph Convolution for Re-ranking in Person Re-identification pdf

Rong Jin, Weihua Chen, Hao Li, 2021, ArXiv.

On Stochastic Moving-Average Estimators for Non-Convex Optimization pdf

Rong Jin, Tianbao Yang, Wotao Yin, 2021, ArXiv.

A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks

Lihi Zelnik-Manor, Rong Jin, Yonathan Aflalo, 2021, 2101.04243.

Self-supervised Motion Learning from Static Images

Rong Jin, Shiwei Zhang, Marcelo Ang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-supervised Video Representation Learning by Context and Motion Decoupling

Rong Jin, Yinghui Xu, Pan Pan, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search pdf

Lihi Zelnik-Manor, Rong Jin, Yonathan Aflalo, 2021, ArXiv.

KVT: k-NN Attention for Boosting Vision Transformers pdf

Rong Jin, Shuning Chang, Hao Li, 2021, ArXiv.

Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice pdf

Rong Jin, Qi Qian, Antoni B. Chan, 2021, ArXiv.

Unsupervised Visual Representation Learning by Online Constrained K-Means pdf

Rong Jin, Qi Qian, Juhua Hu, 2021, ArXiv.

Why Does Multi-Epoch Training Help? pdf

Rong Jin, Qi Qian, Hao Li, 2021, ArXiv.

Rethinking supervised pre-training for better downstream transferring pdf

Rong Jin, Yutong Feng, Jianwen Jiang, 2021, ArXiv.

Price Suggestion for Online Second-hand Items

Rong Jin, Zhurong Xia, Mingqian Tang, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses

David Simchi-Levi, Rong Jin, Xinshang Wang, 2021, Manag. Sci..

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning pdf

Rong Jin, Yinghui Xu, Bin Wang, 2021, AAAI.

Learning Accurate Entropy Model with Global Reference for Image Compression pdf

Rong Jin, Hao Li, Zhenhong Sun, 2021, ICLR.

Communication Efficient SGD via Gradient Sampling with Bayes Prior

Rong Jin, Yinghui Xu, Yingya Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Position and Target Consistency for Memory-based Video Object Segmentation

Rong Jin, Yinghui Xu, Bang Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Theoretical Analysis of Learning with Noisily Labeled Data pdf

Rong Jin, Qi Qian, Hao Li, 2021, ArXiv.

A Novel Method Incorporating Gene Ontology Information for Unsupervised Clustering and Feature Selection

Rong Jin, Christina Chan, Linxia Zhang, 2008, PloS one.

Supplementary Documents for “ Semi-Crowdsource Clustering : Generalizing Crowd Labeling by Robust Distance Metric Learning ”

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012 .

Automatic image annotation

Rong Jin, Feng Kang, 2007 .

Supplementary Material : O ( log T ) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions

Rong Jin, Tianbao Yang, Lijun Zhang, 2013 .