BibSLEIGH — Zheng

Travelled to:

1 × Australia
1 × Brazil
1 × Canada
1 × France
1 × Portugal
1 × Singapore
1 × Sweden
1 × Switzerland
10 × USA
2 × China
2 × United Kingdom

Collaborated with:

J.Sun Q.Yang W.Ma J.Yan H.Zeng D.Shen N.Liu W.Fan W.Xi G.Xue X.Wang B.Zhang L.Wenyin S.Yan W.Chen Y.Yu G.Wang L.Ji B.Cao B.Naizer X.Ni S.Liu H.Li W.Zhang H.Zhang Z.A.Zhu C.Zhu F.Zhang Y.Li D.Wang Y.Lu J.Hu E.A.Fox H.Liu J.He Y.Gu Y.Liu S.Tamang A.Lee H.Ji B.Yang T.Wang H.Cheng B.Hua X.Tang C.Zhai T.Liu Q.Cheng Y.Wang Y.Tong J.Du Z.Zhang Y.Cui T.Qin T.Liu X.Zhang Q.He J.Ma G.Pu C.Hu M.Li Riwei Luan Guangrui Wen Ruxin Zhang Zhifen Zhang Y.Wang B.Wei Y.Hu Z.Deng D.Chen Z.Zheng L.Jiang Y.Li E.W.Xiang D.H.Hu T.Wan R.Hu P.Bai Y.Lu J.Wang H.Lu L.Tao C.Lu M.Ji S.Gu J.Han X.He W.V.Zhang F.Zhong Y.Zhang H.Wang J.Wu Y.Zhu J.Yang D.Wang L.Fang Y.Cao D.Zhuang C.Lin Y.Liu F.Bai J.Cui R.Jin X.Du

Talks about:

search (19) web (16) learn (9) classif (8) queri (8) cluster (7) text (7) use (7) data (5) interrel (4)

Person: Zheng Chen

DBLP: Chen:Zheng

Contributed to:

2015

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2017

Wrote 50 papers:

CASE-2015-ChenN #automation: A cascade control for Sander automation system (ZC, BN), pp. 894–899.
CIKM-2012-WangWYHDC #framework #learning #modelling #novel: A novel local patch framework for fixing supervised learning models (YW, BW, JY, YH, ZHD, ZC), pp. 1233–1242.
CIKM-2011-CuiLYJJHGCD #framework #multi #random: Multi-view random walk framework for search task discovery from click-through log (JC, HL, JY, LJ, RJ, JH, YG, ZC, XD), pp. 135–140.
CIKM-2011-GuYLHJLC: Extract knowledge from semi-structured websites for search task simplification (YG, JY, HL, JH, LJ, NL, ZC), pp. 1883–1888.
CIKM-2011-LiuNSC #classification #comprehension #query #transaction: Unsupervised transactional query classification based on webpage form understanding (YL, XN, JTS, ZC), pp. 57–66.
CIKM-2011-WangNSTC #clustering #dependence #documentation #graph #representation: Representing document as dependency graph for document clustering (YW, XN, JTS, YT, ZC), pp. 2177–2180.
SIGIR-2011-ChenTLJ #knowledge base #tool support: A toolkit for knowledge base population (ZC, ST, AL, HJ), pp. 1267–1268.
SIGIR-2011-JiYGHHZC #graph #learning #query #web: Learning search tasks in queries and web pages via graph regularization (MJ, JY, SG, JH, XH, WVZ, ZC), pp. 55–64.
SIGIR-2010-DuZYCC #query #recognition #using: Using search session context for named entity recognition in query (JD, ZZ, JY, YC, ZC), pp. 765–766.
SIGIR-2010-LiuYSCCL #behaviour #learning #rank: Learning to rank audience for behavioral targeting (NL, JY, DS, DC, ZC, YL), pp. 719–720.
SIGIR-2010-YanZJLYC #framework #learning: A co-learning framework for learning user search intents from rule-generated training data (JY, ZZ, LJ, YL, SY, ZC), pp. 895–896.
SIGIR-2010-ZhongWWCZCW #behaviour: Incorporating post-click behaviors into a click model (FZ, DW, GW, WC, YZ, ZC, HW), pp. 355–362.
CIKM-2009-CaoSXHYC #classification #named #personalisation #query: PQC: personalized query classification (BC, JTS, EWX, DHH, QY, ZC), pp. 1217–1226.
CIKM-2009-JiYLZFC #named #novel #online: ExSearch: a novel vertical search engine for online barter business (LJ, JY, NL, WZ, WF, ZC), pp. 1357–1366.
CIKM-2009-ShenWCSYCL #classification: Exploiting term relationship to boost text classification (DS, JW, BC, JTS, QY, ZC, YL), pp. 1637–1640.
CIKM-2009-ZhuCWZWC #divide and conquer #learning #query #ranking: To divide and conquer search ranking by learning query difficulty (ZAZ, WC, TW, CZ, GW, ZC), pp. 1883–1886.
CIKM-2009-ZhuCZWWC #algorithm #ranking: A general magnitude-preserving boosting algorithm for search ranking (CZ, WC, ZAZ, GW, DW, ZC), pp. 817–826.
KDD-2009-YangSWC #classification #effectiveness #learning #multi: Effective multi-label active learning for text classification (BY, JTS, TW, ZC), pp. 917–926.
SIGIR-2009-ZhangYYLC #query: Temporal query substitution for ad search (WZ, JY, SY, NL, ZC), pp. 798–799.
SIGIR-2009-ZhuWYWYHC #optimisation: Optimizing search engine revenue in sponsored search (YZ, GW, JY, DW, JY, JH, ZC), pp. 588–595.
PPoPP-2008-ChengCHT #classification #manycore #platform #scalability #using: Scalable packet classification using interpreting: a cross-platform multi-core solution (HC, ZC, BH, XT), pp. 33–42.
SIGIR-2008-HuCBLCY #mining #query #web: Web query translation via web log mining (RH, WC, PB, YL, ZC, QY), pp. 749–750.
SIGIR-2008-HuFCZLYC #clustering #semantics #wiki: Enhancing text clustering by leveraging Wikipedia semantics (JH, LF, YC, HJZ, HL, QY, ZC), pp. 179–186.
CIKM-2007-WangSC #named: Shine: search heterogeneous interrelated entities (XW, JTS, ZC), pp. 583–592.
ICML-2007-CaoSSYC #feature model #kernel: Feature selection in a kernel space (BC, DS, JTS, QY, ZC), pp. 121–128.
CIKM-2006-ShenSYC #classification #modelling #multi: Text classification improved through multigram models (DS, JTS, QY, ZC), pp. 672–681.
SIGIR-2006-ShenSYC #classification #query #web: Building bridges for web query classification (DS, JTS, QY, ZC), pp. 131–138.
SIGIR-2006-ShenYSC #concurrent #detection #thread: Thread detection in dynamic text message streams (DS, QY, JTS, ZC), pp. 35–42.
SIGIR-2006-WangSCZ #analysis #multi #semantics: Latent semantic analysis for multiple-type interrelated data objects (XW, JTS, ZC, CZ), pp. 236–243.
SIGIR-2005-QinLZCM #case study #web: A study of relevance propagation for web search (TQ, TYL, XDZ, ZC, WYM), pp. 408–415.
SIGIR-2005-SunSZYLC #summary #using: Web-page summarization using clickthrough data (JTS, DS, HJZ, QY, YL, ZC), pp. 194–201.
SIGIR-2005-XiFFZCYZ #matrix #named #similarity #using: SimFusion: measuring similarity using unified relationship matrix (WX, EAF, WF, BZ, ZC, JY, DZ), pp. 130–137.
SIGIR-2005-XueLYXZYC #clustering #collaboration #scalability #using: Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
SIGIR-2005-XueYZYC #analysis: Exploiting the hierarchical structure for link analysis (GRX, QY, HJZ, YY, ZC), pp. 186–193.
SIGIR-2005-YanLZYCCFM #categorisation #feature model #named #orthogonal: OCFS: optimal orthogonal centroid feature selection for text categorization (JY, NL, BZ, SY, ZC, QC, WF, WYM), pp. 122–129.
SIGIR-2005-ZhangLLJXFCM #graph #using #web: Improving web search results using affinity graph (BZ, HL, YL, LJ, WX, WF, ZC, WYM), pp. 504–511.
CIKM-2004-LiuZYYYCBM #learning #metric #similarity: Learning similarity measures in non-orthogonal space (NL, BZ, JY, QY, SY, ZC, FB, WYM), pp. 334–341.
CIKM-2004-WangSZCM #clustering #summary #web: Web page clustering enhanced by summarization (XW, DS, HJZ, ZC, WYM), pp. 242–243.
CIKM-2004-XueZCYMXF #optimisation #using #web: Optimizing web search using web click-through data (GRX, HJZ, ZC, YY, WYM, WX, WF), pp. 118–126.
CIKM-2004-XueZCYMXF04a #algorithm #named #similarity: MRSSA: an iterative algorithm for similarity spreading over interrelated objects (GRX, HJZ, ZC, YY, WYM, WX, EAF), pp. 240–241.
KDD-2004-YanZYYLCXFMC #incremental #named: IMMC: incremental maximum margin criterion (JY, BZ, SY, QY, HL, ZC, WX, WF, WYM, QC), pp. 725–730.
SIGIR-2004-ShenCYZZLM #classification #summary: Web-page classification through summarization (DS, ZC, QY, HJZ, BZ, YL, WYM), pp. 242–249.
SIGIR-2004-ZengHCMM #clustering #learning #web: Learning to cluster web search results (HJZ, QCH, ZC, WYM, JM), pp. 210–217.
ICML-2003-LiuLCM #clustering #evaluation #feature model: An Evaluation on Feature Selection for Text Clustering (TL, SL, ZC, WYM), pp. 488–495.
SIGIR-2003-ChenLWPM #web: Building a web thesaurus from web link structure (ZC, SL, LW, GP, WYM), pp. 48–55.
SIGIR-2003-WangZCLTM #clustering #multi #named: ReCoM: reinforcement clustering of multi-type interrelated data objects (JW, HJZ, ZC, HL, LT, WYM), pp. 274–281.
SIGIR-2003-XueZCMZL #analysis #web: Implicit link analysis for small web search (GRX, HJZ, ZC, WYM, HZ, CJL), pp. 56–63.
ICML-2002-ChenWZ #approach #statistics: A New Statistical Approach to Personal Name Extraction (ZC, LW, FZ), pp. 67–74.
SIGIR-2001-ChenWHLZ #image #named #web: IFind: A Web Image Search Engine (ZC, LW, CH, ML, HZ), p. 450.
CASE-2017-LuanWZCZ #detection #fault #process: Porosity defect detection based on FastICA-RBF during pulsed TIG welding process (RL, GW, RZ, ZC, ZZ), pp. 548–553.