BibSLEIGH — Yiming

Travelled to:

1 × Australia
1 × Brazil
1 × Greece
1 × Ireland
1 × Israel
1 × Italy
1 × Portugal
1 × Singapore
1 × Switzerland
1 × The Netherlands
16 × USA
2 × China
2 × United Kingdom
3 × France
4 × Canada

Collaborated with:

S.Gopal J.Zhang A.Harpale J.G.Carbonell M.Rogati F.Li ∅ B.Kisiel A.Lad T.Pierce S.Yoo H.Liu T.Ault X.Liu J.O.Pedersen C.G.Chute R.Ghani Wolfgang Merkt S.Vijayakumar K.Salomatin T.Liu Y.Ru H.Li S.Ganapathy Y.Liu S.Slattery X.Peng W.Zhao F.Lin I.Moon R.Jin A.G.Hauptmann C.Jin C.W.Lattimer Vladimir Ivan D.He Z.Yue I.Gorton Ruochen Xu G.Zheng N.Lao T.Stouraitis Christopher E. Mower Maurice Fallon H.Shu C.M.Cumby K.Probst

Talks about:

text (13) categor (11) classif (8) learn (7) method (6) featur (6) base (5) use (5) regress (4) analysi (4)

Person: Yiming Yang

DBLP: Yang:Yiming

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2005

2004

2003

2002

2001

2000

1999

2009

1998

1997

1995

1994

1993

2017

2019

Wrote 45 papers:

ICML-2015-LiuY #graph #learning #predict: Bipartite Edge Prediction via Transductive Learning over Product Graphs (HL, YY), pp. 1880–1888.
ICML-c1-2014-GopalY #clustering #modelling: Von Mises-Fisher Clustering Models (SG, YY), pp. 154–162.
ICML-c2-2013-GopalY #distributed #modelling #scalability: Distributed training of Large-scale Logistic models (SG, YY), pp. 289–297.
KDD-2013-GopalY #classification #dependence #recursion #scalability #visual notation: Recursive regularization for large-scale classification with hierarchical and graphical dependencies (SG, YY), pp. 257–265.
CIKM-2012-SalomatinLY #framework #online #optimisation: A unified optimization framework for auction and guaranteed delivery in online advertising (KS, TYL, YY), pp. 2005–2009.
CIKM-2011-YooYC #classification #email #modelling #personalisation: Modeling personalized email prioritization: classification-based and regression-based approaches (SY, YY, JGC), pp. 729–738.
ICEIS-v2-2011-YangRL #research: Emergency Logistics Systems Synnergetics Research (YY, YR, HL), pp. 282–286.
CIKM-2010-HarpaleYGHY #dataset #multi #named #performance #personalisation: CiteData: a new multi-faceted dataset for evaluating personalized search performance (AH, YY, SG, DH, ZY), pp. 549–558.
CIKM-2010-LadY #documentation #feedback #learning #novel #rank: Learning to rank relevant and novel documents through user feedback (AL, YY), pp. 469–478.
ICML-2010-HarpaleY #adaptation #learning #multi: Active Learning for Multi-Task Adaptive Filtering (AH, YY), pp. 431–438.
SIGIR-2010-GopalY #classification #multi: Multilabel classification with meta-level features (SG, YY), pp. 315–322.
ICEIS-AIDSS-2009-YangLSKCGP #graph #learning: Graph Structure Learning for Task Ordering (YY, AL, HS, BK, CMC, RG, KP), pp. 164–169.
KDD-2009-YooYLM #email #mining #network #personalisation #social: Mining social networks for personalized email prioritization (SY, YY, FL, ICM), pp. 967–976.
SIGIR-2009-YangGH #identification #information retrieval #problem: Protein identification as an information retrieval problem (YY, SG, AH), pp. 752–753.
CIKM-2008-RogatiYC #corpus #information retrieval #optimisation: Corpus microsurgery: criteria optimization for medical cross-language ir (MR, YY, JGC), pp. 1365–1366.
SIGIR-2008-HarpaleY #collaboration #learning #personalisation: Personalized active learning for collaborative filtering (AH, YY), pp. 91–98.
CIKM-2007-LadY #feedback #using: Generalizing from relevance feedback using named entity wildcards (AL, YY), pp. 721–730.
SIGIR-2007-YangLLHKR #documentation: Utility-based information distillation over temporally sequenced documents (YY, AL, NL, AH, BK, MR), pp. 31–38.
SAC-2005-LiY #classification #predict #recursion #using: Using recursive classification to discover predictive features (FL, YY), pp. 1054–1058.
SIGIR-2005-LiY #analysis #recursion: Analysis of recursive feature elimination methods (FL, YY), pp. 633–634.
SIGIR-2005-YangYZK #adaptation #benchmark #evaluation #robust: Robustness of adaptive filtering methods in a cross-benchmark evaluation (YY, SY, JZ, BK), pp. 98–105.
ICML-2004-ZhangY #estimation #probability: Probabilistic score estimation with piecewise logistic regression (JZ, YY).
SIGIR-2004-RogatiY #information retrieval: Resource selection for domain-specific cross-lingual IR (MR, YY), pp. 154–161.
CIKM-2003-YangK #adaptation: Margin-based local regression for adaptive filtering (YY, BK), pp. 191–198.
ICML-2003-LiY #analysis #categorisation #classification: A Loss Function Analysis for Classification Methods in Text Categorization (FL, YY), pp. 472–479.
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.
SIGIR-2003-YangZK #analysis #categorisation #classification #scalability: A scalability analysis of classifiers in text categorization (YY, JZ, BK), pp. 96–103.
SIGIR-2003-ZhangY #categorisation #classification #linear #robust: Robustness of regularized linear classification methods in text categorization (JZ, YY), pp. 190–197.
CIKM-2002-LiuYC #bias #classification #induction: Boosting to correct inductive bias in text classification (YL, YY, JGC), pp. 348–355.
CIKM-2002-RogatiY #classification #feature model: High-performing feature selection for text classification (MR, YY), pp. 659–661.
KDD-2002-YangZCJ #detection #topic: Topic-conditioned novelty detection (YY, JZ, JGC, CJ), pp. 688–693.
ICML-2001-GhaniSY #categorisation #hypermedia #using: Hypertext Categorization using Hyperlink Patterns and Meta Data (RG, SS, YY), pp. 178–185.
SIGIR-2001-Yang #case study #categorisation: A Study on Thresholding Strategies for Text Categorization (YY), pp. 137–145.
ICML-2000-YangAP #effectiveness #learning #multi #validation: Combining Multiple Learning Strategies for Effective Cross Validation (YY, TA, TP), pp. 1167–1174.
SIGIR-2000-YangAPL #categorisation: Improving text categorization methods for event tracking (YY, TA, TP, CWL), pp. 65–72.
SIGIR-1999-YangL #categorisation: A Re-Examination of Text Categorization Methods (YY, XL), pp. 42–49.
WCRE-1999-YangPZ99a #concept analysis #data access #feature model #multi #semantics #using: Domain Feature Model Recovery from Multiple Applications Using Data Access Semantics and Formal Concept Analysis (YY, XP, WZ), pp. 215–224.
SIGIR-1998-YangPC #case study #detection #online: A Study of Retrospective and On-Line Event Detection (YY, TP, JGC), pp. 28–36.
ICML-1997-YangP #case study #categorisation #comparative #feature model: A Comparative Study on Feature Selection in Text Categorization (YY, JOP), pp. 412–420.
SIGIR-1995-Yang #approach #categorisation #reduction #statistics: Noise Reduction in a Statistical Approach to Text Categorization (YY), pp. 256–263.
SIGIR-1994-Yang #categorisation #effectiveness #learning #network #performance #retrieval: Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval (YY), pp. 13–22.
SIGIR-1993-YangC #information retrieval: An Application of Least Squares Fit Mapping to Text Information Retrieval (YY, CGC), pp. 281–290.
ICSA-2017-GortonXYLZ #architecture #knowledge base #towards: Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases (IG, RX, YY, HL, GZ), pp. 79–88.
CASE-2017-MerktYSMFV #mobile #monitoring #robust: Robust shared autonomy for mobile manipulation with continuous scene monitoring (WM, YY, TS, CEM, MF, SV), pp. 130–137.
CASE-2019-MerktIYV #towards #using: Towards Shared Autonomy Applications using Whole-body Control Formulations of Locomanipulation (WM, VI, YY, SV), pp. 1206–1211.