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Travelled to:
1 × Australia
1 × Canada
1 × Chile
1 × Finland
1 × France
1 × Ireland
1 × Korea
1 × Portugal
1 × Russia
1 × Singapore
1 × Switzerland
1 × Taiwan
1 × The Netherlands
1 × United Kingdom
2 × Brazil
2 × China
2 × Germany
5 × USA
Collaborated with:
J.Guo S.Tan Y.Lan H.Xu Y.Wang S.Niu G.Xu B.Wang Z.Lin X.Xu G.Wu X.Zhu H.Shen P.Du S.Bai X.Yan J.Zhang H.Li M.S.Hsiao S.Lin J.Lv S.Cheng J.Huang C.Fan J.Xu S.Wan M.Ghanem T.Meng L.Bai Y.Zeng R.Guo H.Tang L.Xia W.Chen X.Geng Y.Zhu G.Zhang W.Nejdl Z.Lin W.Shi Y.Liu S.Liu Y.Wang P.Wang X.Jin W.Wang Y.Wang Y.Guo
Talks about:
rank (10) sentiment (8) queri (8) use (8) recommend (7) model (7) learn (7) text (6) base (5) analysi (4)

Person: Xueqi Cheng

DBLP DBLP: Cheng:Xueqi

Contributed to:

SIGIR 20152015
CIKM 20142014
ECIR 20142014
SIGIR 20142014
CIKM 20132013
ECIR 20132013
SIGIR 20132013
CIKM 20122012
SIGIR 20122012
CIKM 20112011
SAC 20112011
SIGIR 20112011
CIKM 20102010
SAC 20102010
ECIR 20092009
SIGIR 20092009
CIKM 20082008
DATE 20082008
PDP 20082008
SAC 20082008
SIGIR 20082008
CIKM 20072007
SAC 20072007
CIKM 20052005
SIGIR 20052005
SIGIR 20022002

Wrote 42 papers:

SIGIR-2015-WangGLXWC #learning #recommendation #representation
Learning Hierarchical Representation Model for NextBasket Recommendation (PW, JG, YL, JX, SW, XC), pp. 403–412.
SIGIR-2015-XiaXLGC #evaluation #learning #metric #optimisation
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures (LX, JX, YL, JG, XC), pp. 113–122.
CIKM-2014-LinJXWCW #analysis #sentiment
A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis (ZL, XJ, XX, WW, XC, YW), pp. 1089–1098.
ECIR-2014-BaiGLC #documentation #linear #matrix #modelling
Local Linear Matrix Factorization for Document Modeling (LB, JG, YL, XC), pp. 398–411.
SIGIR-2014-ChengSHCC #named #ranking #self
IMRank: influence maximization via finding self-consistent ranking (SC, HS, JH, WC, XC), pp. 475–484.
SIGIR-2014-NiuLGCG #data analysis #learning #rank #robust #what
What makes data robust: a data analysis in learning to rank (SN, YL, JG, XC, XG), pp. 1191–1194.
SIGIR-2014-ZhuLGCN #learning
Learning for search result diversification (YZ, YL, JG, XC, SN), pp. 293–302.
CIKM-2013-ChengSHZC #named
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization (SC, HS, JH, GZ, XC), pp. 509–518.
CIKM-2013-LanNGC #question #ranking
Is top-k sufficient for ranking? (YL, SN, JG, XC), pp. 1261–1270.
ECIR-2013-ZhuGCLN #graph #query #recommendation
Recommending High Utility Query via Session-Flow Graph (XZ, JG, XC, YL, WN), pp. 642–655.
SIGIR-2013-FanLGLC #collaboration #recommendation
Collaborative factorization for recommender systems (CF, YL, JG, ZL, XC), pp. 949–953.
SIGIR-2013-WanLGFC #recommendation #social #social media
Informational friend recommendation in social media (SW, YL, JG, CF, XC), pp. 1045–1048.
CIKM-2012-LinTCXS #effectiveness #performance #sentiment #using
Effective and efficient?: bilingual sentiment lexicon extraction using collocation alignment (ZL, ST, XC, XX, WS), pp. 1542–1546.
CIKM-2012-NiuLGC #probability #problem #ranking
A new probabilistic model for top-k ranking problem (SN, YL, JG, XC), pp. 2519–2522.
CIKM-2012-XuTLCL #aspect-oriented #sentiment #towards
Towards jointly extracting aspects and aspect-specific sentiment knowledge (XX, ST, YL, XC, ZL), pp. 1895–1899.
CIKM-2012-YanGLCW #clustering #matrix #using
Clustering short text using Ncut-weighted non-negative matrix factorization (XY, JG, SL, XC, YW), pp. 2259–2262.
CIKM-2012-ZhuGCL #behaviour #mining #query #recommendation
More than relevance: high utility query recommendation by mining users’ search behaviors (XZ, JG, XC, YL), pp. 1814–1818.
SIGIR-2012-NiuGLC #evaluation #learning #rank #ranking
Top-k learning to rank: labeling, ranking and evaluation (SN, JG, YL, XC), pp. 751–760.
CIKM-2011-GuoCXZ #query #similarity
Intent-aware query similarity (JG, XC, GX, XZ), pp. 259–268.
CIKM-2011-LinTC #classification #independence #sentiment #using #word
Language-independent sentiment classification using three common words (ZL, ST, XC), pp. 1041–1046.
CIKM-2011-YanGC #higher-order #learning #query #recommendation
Context-aware query recommendation by learning high-order relation in query logs (XY, JG, XC), pp. 2073–2076.
SAC-2011-XuMC #online #summary
Aspect-based extractive summarization of online reviews (XX, TM, XC), pp. 968–975.
SIGIR-2011-DuGC #network
Decayed DivRank: capturing relevance, diversity and prestige in information networks (PD, JG, XC), pp. 1239–1240.
CIKM-2010-DuGZC #ranking #summary
Manifold ranking with sink points for update summarization (PD, JG, JZ, XC), pp. 1757–1760.
CIKM-2010-GuoCXS #approach #query #recommendation #social
A structured approach to query recommendation with social annotation data (JG, XC, GX, HS), pp. 619–628.
SAC-2010-ZengXCB #parametricity #scalability
Introducing global scaling parameters into Ncut (YZ, HX, XC, SB), pp. 1105–1106.
ECIR-2009-TanCWX #adaptation #analysis #naive bayes #sentiment
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis (ST, XC, YW, HX), pp. 337–349.
SIGIR-2009-GuoXCL #query #recognition
Named entity recognition in query (JG, GX, XC, HL), pp. 267–274.
CIKM-2008-ZhangCWX #adaptation #named #summary
AdaSum: an adaptive model for summarization (JZ, XC, GW, HX), pp. 901–910.
DATE-2008-ChengH #invariant #mining #verification
Simulation-Directed Invariant Mining for Software Verification (XC, MSH), pp. 682–687.
PDP-2008-LinC #algorithm #clustering #graph #internet #named #parallel #simulation
BC-GA: A Graph Partitioning Algorithm for Parallel Simulation of Internet Applications (SL, XC), pp. 358–365.
SAC-2008-TanWC #categorisation #performance #ranking
An efficient feature ranking measure for text categorization (ST, YW, XC), pp. 407–413.
SAC-2008-TanWWC #detection #problem #semantics #using
Using unlabeled data to handle domain-transfer problem of semantic detection (ST, YW, GW, XC), pp. 896–903.
SIGIR-2008-GuoXLC #query #refinement
A unified and discriminative model for query refinement (JG, GX, HL, XC), pp. 379–386.
SIGIR-2008-TanWC #detection #sentiment #using
Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples (ST, YW, XC), pp. 743–744.
CIKM-2007-GuoCXW #maintenance #online #performance #using
Efficient on-line index maintenance for dynamic text collections by using dynamic balancing tree (RG, XC, HX, BW), pp. 751–760.
CIKM-2007-LvC #concept #information retrieval #named #peer-to-peer #semantics
CTO: concept tree based semantic overlay for pure peer-to-peer information retrieval (JL, XC), pp. 931–934.
CIKM-2007-TanWTC #analysis #novel #problem #sentiment
A novel scheme for domain-transfer problem in the context of sentiment analysis (ST, GW, HT, XC), pp. 979–982.
SAC-2007-TanC #classification #using
Using hypothesis margin to boost centroid text classifier (ST, XC), pp. 398–403.
CIKM-2005-TanCGWX #approach #categorisation #novel #refinement
A novel refinement approach for text categorization (ST, XC, MG, BW, HX), pp. 469–476.
SIGIR-2005-TanCWXGG #classification #using
Using dragpushing to refine centroid text classifiers (ST, XC, BW, HX, MG, YG), pp. 653–654.
SIGIR-2002-WangCB
Example-based phrase translation in Chinese-English CLIR (BW, XC, SB), pp. 435–436.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.