Travelled to:1 × Canada
1 × China
1 × France
1 × India
1 × Switzerland
1 × United Kingdom
3 × USA
Collaborated with:Y.Qian Y.Hu X.Sun H.Li J.Liu S.Tian Y.Cai H.Yang Y.Sun T.Liu Z.Yang T.Sakai J.Ye C.Li J.Cui Z.Nie L.Jiang Z.Wu Y.Cao D.Meyerzon Z.Tian M.Fan X.Zhang D.Jiang J.Pei M.Wang W.Liu W.Zhang L.Song S.Yao H.Wang X.Guan X.Li L.Yu Y.Qu T.L.0002 J.Chi Y.Jin D.Cui A.He
Talks about:softwar (3) queri (3) mine (3) knowledg (2) approach (2) between (2) search (2) machin (2) defect (2) learn (2)
Person: Qinghua Zheng
DBLP: Zheng:Qinghua
Contributed to:
2014
2014
20142013
20122011
2010
20062005
2005
2018Wrote 12 papers:
- CIKM-2014-WangLLZZSY #linked data #open data
- Faceted Exploring for Domain Knowledge over Linked Open Data (MW, JL, WL, QZ, WZ, LS, SY), pp. 2009–2011.
- ICPC-2014-TianZLFZY #detection #parallel #thread
- Plagiarism detection for multithreaded software based on thread-aware software birthmarks (ZT, QZ, TL, MF, XZ, ZY), pp. 304–313.
- SEKE-2014-WangGZLLYY #testing
- Reducing Test Cases with Causality Partitions (HW, XG, QZ, TL, XL, LY, ZY), pp. 223–228.
- CIKM-2013-QianSYZL #mining #query
- Dynamic query intent mining from a search log stream (YnQ, TS, JY, QZ, CL), pp. 1205–1208.
- CIKM-2013-TianCZ #approach #database #hybrid #mobile #privacy #query
- A hybrid approach for privacy-preserving processing of knn queries in mobile database systems (ST, YC, QZ), pp. 1161–1164.
- SIGIR-2012-HuQLJPZ #mining #query #topic
- Mining query subtopics from search log data (YH, YnQ, HL, DJ, JP, QZ), pp. 305–314.
- CIKM-2011-QianHCZN #ambiguity #machine learning
- Combining machine learning and human judgment in author disambiguation (YnQ, YH, JC, QZ, ZN), pp. 1241–1246.
- SAC-2010-LiuJWZQ #mining
- Mining preorder relation between knowledge units from text (JL, LJ, ZW, QZ, YnQ), pp. 1047–1053.
- HPDC-2006-ZhengYS #algorithm #grid #how #novel #probability #scheduling
- How to avoid herd: a novel stochastic algorithm in grid scheduling (QZ, HY, YS), pp. 267–278.
- SAC-2005-SunZ #approach #semantics
- An approach to acquire semantic relationships between terms (XS, QZ), pp. 1630–1633.
- JCDL-2005-HuLCMZ #automation #documentation #machine learning #using
- Automatic extraction of titles from general documents using machine learning (YH, HL, YC, DM, QZ), pp. 145–154.
- ASE-2018-QuLCJCHZ #2d #fault #named #network #predict #using
- node2defect: using network embedding to improve software defect prediction (YQ, TL0, JC, YJ, DC, AH, QZ), pp. 844–849.