BibSLEIGH — Rong

Travelled to:

1 × Australia
1 × Brazil
1 × Germany
1 × Israel
1 × Turkey
2 × China
2 × Finland
2 × France
2 × United Kingdom
20 × USA
3 × Canada

Collaborated with:

L.Si A.G.Hauptmann T.Yang J.Y.Chai S.C.H.Hoi L.Zhang A.K.Jain S.Zhu M.R.Lyu J.Zhang J.Yi C.Zhai J.P.Callan Y.Liu Z.Xu I.King Z.Zhou J.Ye C.Raphael M.Wu H.Liu P.Tan S.T.Dumais X.He P.Zhao P.Wu Q.Qian Y.Zhou M.Xu Q.Lin H.Valizadegan S.Wang J.Lee L.Yang C.Zhang F.Kang Y.Qi C.Falusos T.D.Ng W.Gao H.Xia R.Chitta T.C.Havens Y.Chi J.Zhuang A.Sun C.H.Q.Ding T.Li H.D.Simon J.Zhu R.Yan Y.Yang P.Ogilvie J.Wang J.Hu J.Pei M.Lin J.Wang M.Ji B.Lin J.Han M.Mahdavi H.Yang W.Tong K.Huang W.Zhong C.Yang X.Yan Q.Zhang Q.Li W.Li X.Wang R.Zhang Y.Cui J.Mao

Talks about:

learn (17) model (13) retriev (11) inform (11) kernel (10) base (8) algorithm (7) filter (7) use (7) applic (6)

Person: Rong Jin

DBLP: Jin:Rong

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2002

Wrote 61 papers:

ICML-2015-XuJZ #algorithm #matrix: CUR Algorithm for Partially Observed Matrices (MX, RJ, ZHZ), pp. 1412–1421.
ICML-2015-Yang0JZ #bound #fault #set: An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection (TY, LZ, RJ, SZ), pp. 135–143.
ICML-2015-Yang0JZ15a #random #reduction: Theory of Dual-sparse Regularized Randomized Reduction (TY, LZ, RJ, SZ), pp. 305–314.
KDD-2015-YangLJ #big data #data analysis #optimisation: Big Data Analytics: Optimization and Randomization (TY, QL, RJ), p. 2327.
KDD-2015-ZhongJYYZL #recommendation: Stock Constrained Recommendation in Tmall (WZ, RJ, CY, XY, QZ, QL), pp. 2287–2296.
DRR-2014-RaphaelJ #library #music #recognition: Optical music recognition on the International Music Score Library Project (CR, RJ), p. ?–12.
ICML-c2-2014-0005YJ #algorithm #performance #robust: Efficient Algorithms for Robust One-bit Compressive Sensing (LZ, JY, RJ), pp. 820–828.
ICML-c2-2014-Yi0WJJ #algorithm #clustering: A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data (JY, LZ, JW, RJ, AKJ), pp. 658–666.
KDD-2014-QianHJPZ #approach #distance #learning #metric #using: Distance metric learning using dropout: a structured regularization approach (QQ, JH, RJ, JP, SZ), pp. 323–332.
ICML-c3-2013-GaoJZZ #optimisation: One-Pass AUC Optimization (WG, RJ, SZ, ZHZ), pp. 906–914.
ICML-c3-2013-YiZJQJ #clustering #matrix #similarity: Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (JY, LZ, RJ, QQ, AKJ), pp. 1400–1408.
ICML-c3-2013-ZhangYJH #optimisation #probability: O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions (LZ, TY, RJ, XH), pp. 1121–1129.
ICML-c3-2013-ZhangYJLH #bound #kernel #learning #online: Online Kernel Learning with a Near Optimal Sparsity Bound (LZ, JY, RJ, ML, XH), pp. 621–629.
ICML-2012-HoiWZJW #algorithm #bound #kernel #learning #online #performance #scalability: Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (SCHH, JW, PZ, RJ, PW), p. 141.
ICML-2012-JiYLJH #algorithm #bound #fault #learning: A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound (MJ, TY, BL, RJ, JH), p. 110.
ICML-2012-YangMJZZ #kernel #learning #multi #probability #programming: Multiple Kernel Learning from Noisy Labels by Stochastic Programming (TY, MM, RJ, LZ, YZ), p. 21.
SIGIR-2012-XiaWHJ #image #kernel #multi #retrieval #scalability: Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (HX, PW, SCHH, RJ), pp. 55–64.
ICML-2011-ZhaoHJY #online: Online AUC Maximization (PZ, SCHH, RJ, TY), pp. 233–240.
KDD-2011-ChittaJHJ #approximate #clustering #kernel #scalability: Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.
KDD-2011-ValizadeganJW #learning #multi #predict: Learning to trade off between exploration and exploitation in multiclass bandit prediction (HV, RJ, SW), pp. 204–212.
SIGIR-2011-SiJ #information retrieval #machine learning: Machine learning for information retrieval (LS, RJ), pp. 1293–1294.
ICML-2010-XuJYKL #kernel #learning #multi #performance: Simple and Efficient Multiple Kernel Learning by Group Lasso (ZX, RJ, HY, IK, MRL), pp. 1175–1182.
ICML-2010-YangJJ #learning: Learning from Noisy Side Information by Generalized Maximum Entropy Model (TY, RJ, AKJ), pp. 1199–1206.
ICPR-2010-LeeJJ #image #ranking #retrieval #scalability: Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval (JEL, RJ, AKJ), pp. 3902–3906.
KDD-2010-LiWZCMJ #performance: Exploitation and exploration in a performance based contextual advertising system (WL, XW, RZ, YC, JM, RJ), pp. 27–36.
KDD-2010-YangJJZT #categorisation #classification: Unsupervised transfer classification: application to text categorization (TY, RJ, AKJ, YZ, WT), pp. 1159–1168.
ICML-2009-XuJYLK #feature model: Non-monotonic feature selection (ZX, RJ, JY, MRL, IK), pp. 1145–1152.
ICML-2009-YangJY #learning #online: Online learning by ellipsoid method (LY, RJ, JY), pp. 1153–1160.
KDD-2009-YangJCZ #approach #community #detection: Combining link and content for community detection: a discriminative approach (TY, RJ, YC, SZ), pp. 927–936.
CIKM-2008-XuJHLK #categorisation: Semi-supervised text categorization by active search (ZX, RJ, KH, MRL, IK), pp. 1517–1518.
CIKM-2008-ZhuangHSJ #profiling: Representative entry selection for profiling blogs (JZ, SCHH, AS, RJ), pp. 1387–1388.
ICML-2008-HoiJ #kernel #learning: Active kernel learning (SCHH, RJ), pp. 400–407.
ICML-2007-HoiJL #constraints #kernel #learning #matrix #parametricity: Learning nonparametric kernel matrices from pairwise constraints (SCHH, RJ, MRL), pp. 361–368.
KDD-2007-DingSJL #framework #kernel #learning #recommendation #using: A learning framework using Green’s function and kernel regularization with application to recommender system (CHQD, RJ, TL, HDS), pp. 260–269.
KDD-2007-LiuJJ #clustering #constraints #named: BoostCluster: boosting clustering by pairwise constraints (YL, RJ, AKJ), pp. 450–459.
ICML-2006-HoiJZL #classification #image #learning: Batch mode active learning and its application to medical image classification (SCHH, RJ, JZ, MRL), pp. 417–424.
SIGIR-2006-WuJ #framework #graph #learning #multi: A graph-based framework for relation propagation and its application to multi-label learning (MW, RJ), pp. 717–718.
ICML-2005-JinCS #information retrieval #using: Learn to weight terms in information retrieval using category information (RJ, JYC, LS), pp. 353–360.
ICML-2005-JinZ #algorithm #probability #using: A smoothed boosting algorithm using probabilistic output codes (RJ, JZ), pp. 361–368.
SIGIR-2005-JinC #information retrieval #online #using: Study of cross lingual information retrieval using on-line translation systems (RJ, JYC), pp. 619–620.
SIGIR-2005-LiuJC #information retrieval: A maximum coherence model for dictionary-based cross-language information retrieval (YL, RJ, JYC), pp. 536–543.
SIGIR-2005-ZhangCJ #feedback #image #interactive #retrieval: User term feedback in interactive text-based image retrieval (CZ, JYC, RJ), pp. 51–58.
CIKM-2004-KangJC #automation #image #modelling: Regularizing translation models for better automatic image annotation (FK, RJ, JYC), pp. 350–359.
CIKM-2004-SiJ #collaboration #exponential: Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model (LS, RJ), pp. 156–157.
ICML-2004-JinL #induction #robust: Robust feature induction for support vector machines (RJ, HL).
KDD-2004-TanJ #multi: Ordering patterns by combining opinions from multiple sources (PNT, RJ), pp. 695–700.
SIGIR-2004-JinCS #automation #collaboration: An automatic weighting scheme for collaborative filtering (RJ, JYC, LS), pp. 337–344.
SIGIR-2004-JinS #case study #collaboration #normalisation: A study of methods for normalizing user ratings in collaborative filtering (RJ, LS), pp. 568–569.
CIKM-2003-JinSZC #collaboration #modelling: Collaborative filtering with decoupled models for preferences and ratings (RJ, LS, CZ, JPC), pp. 309–316.
DRR-2003-JinZH #documentation #information retrieval #probability: Information retrieval for OCR documents: a content-based probabilistic correction model (RJ, CZ, AGH), pp. 128–135.
ICML-2003-JinYZH #algorithm #exponential #performance #scalability: A Faster Iterative Scaling Algorithm for Conditional Exponential Model (RJ, RY, JZ, AGH), pp. 282–289.
ICML-2003-SiJ #collaboration #flexibility: Flexible Mixture Model for Collaborative Filtering (LS, RJ), pp. 704–711.
ICML-2003-ZhangJYH #approximate #categorisation #scalability: Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization (JZ, RJ, YY, AGH), pp. 888–895.
CIKM-2002-SiJCO #framework #modelling: A language modeling framework for resource selection and results merging (LS, RJ, JPC, PO), pp. 391–397.
ICPR-v3-2002-JinQH #detection #probability: A Probabilistic Model for Camera Zoom Detection (RJ, YQ, AGH), pp. 859–862.
SIGIR-2002-JinHZ #information retrieval: Title language model for information retrieval (RJ, AGH, CZ), pp. 42–48.
SIGIR-2002-JinSHC #information retrieval #using: Language model for IR using collection information (RJ, LS, AGH, JPC), pp. 419–420.
ICML-2001-JinH #approach #information retrieval #learning #word: Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval (RJ, AGH), pp. 242–249.
SIGIR-2001-DumaisJ #probability: Probabilistic Combination of Content and Links (STD, RJ), pp. 402–403.
SIGIR-2001-JinFH #automation #information retrieval #named: Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall (RJ, CF, AGH), pp. 83–89.
JCDL-2002-HauptmannJN #information retrieval #multi #recognition #speech #using #video: Multi-modal information retrieval from broadcast video using OCR and speech recognition (AGH, RJ, TDN), pp. 160–161.