Travelled to:
1 × Australia
1 × Austria
1 × China
1 × Germany
1 × Japan
1 × United Kingdom
3 × Canada
5 × USA
Collaborated with:
S.Li W.Wang Y.Zhu B.Shi J.Pei J.Shi L.Ma J.Lu Y.Pan Y.Yu X.Xu S.Huang Y.Chen I.Halilovic K.Brown E.Geelhoed P.Stenton P.César Y.Liu J.Zhang L.Wang D.Huang Y.Wang G.Zhang H.Yang Q.Shi Y.Feng Z.Chen X.Zhou L.Chen Y.Zhang L.Cao G.Huang J.Zou J.Lu Z.Cao S.Li J.Chen B.B.Zhou L.Sun Y.C.Lee A.Y.Zomaya F.Cao H.Tang G.Chen S.M.Reddy J.Rajski I.Pomeranz Y.Qiu U.F.Minhas L.Jiao B.Reinwald F.Özcan M.Ashworth L.Zhang J.Brunner Y.A.Liu M.Gorbovitski T.Rothamel Y.Cheng Y.Zhao J.Zhang X.Yan J.Han X.Chen K.Liu
Talks about:
base (5) pattern (4) data (4) effici (3) graph (3) larg (3) framework (2) databas (2) system (2) search (2)
Person: Chen Wang
DBLP: Wang:Chen
Contributed to:
Wrote 17 papers:
- SIGMOD-2015-ZhouCZCHW #community #online #recommendation #video
- Online Video Recommendation in Sharing Community (XZ, LC, YZ, LC, GH, CW), pp. 1645–1656.
- VLDB-2015-ShiQMJWRO #data analysis #pipes and filters #scalability
- Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics (JS, YQ, UFM, LJ, CW, BR, FÖ), pp. 2110–2121.
- CHI-2014-WangGSC
- Sensing a live audience (CW, EG, PS, PC), pp. 1909–1912.
- CIKM-2014-XuHCWHBA #framework #performance
- A Demonstration of SearchonTS: An Efficient Pattern Search Framework for Time Series Data (XX, SH, YC, CW, IH, KB, MA), pp. 2015–2017.
- SEKE-2014-YangWSFC #analysis #debugging #fault
- Bug Inducing Analysis to Prevent Fault Prone Bug Fixes (HY, CW, QS, YF, ZC), pp. 620–625.
- SIGMOD-2014-HuangCCLXWBH #generative
- The next generation operational data historian for IoT based on informix (SH, YC, XC, KL, XX, CW, KB, IH), pp. 169–176.
- VLDB-2014-ShiZLCLW #named #optimisation #pipes and filters #tool support
- MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs (JS, JZ, JL, ZC, SL, CW), pp. 1319–1330.
- ICPR-2012-LiuZWW #multi #recognition
- Multiple HOG templates for gait recognition (YL, JZ, CW, LW), pp. 2930–2933.
- ICPR-2012-WangHWZ #classification #gender #using
- Facial image-based gender classification using Local Circular Patterns (CW, DH, YW, GZ), pp. 2432–2435.
- CIKM-2011-WangL #framework #learning #named #rank
- CoRankBayes: bayesian learning to rank under the co-training framework and its application in keyphrase extraction (CW, SL), pp. 2241–2244.
- HPDC-2011-ChenWZSLZ #in the cloud #trade-off
- Tradeoffs Between Profit and Customer Satisfaction for Service Provisioning in the Cloud (JC, CW, BBZ, LS, YCL, AYZ), pp. 229–238.
- SIGMOD-2008-MaWLCPY #data transformation #effectiveness #performance #semantics #web
- Effective and efficient semantic web data management over DB2 (LM, CW, JL, FC, YP, YY), pp. 1183–1194.
- VLDB-2007-LuMZBWPY #named #ontology #reasoning
- SOR: A Practical System for Ontology Storage, Reasoning and Search (JL, LM, LZ, JSB, CW, YP, YY), pp. 1402–1405.
- PEPM-2006-LiuWGRCZZ #data access #implementation #performance
- Core role-based access control: efficient implementations by transformations (YAL, CW, MG, TR, YC, YZ, JZ), pp. 112–120.
- DATE-2005-TangCRWRP #fault
- Defect Aware Test Patterns (HT, GC, SMR, CW, JR, IP), pp. 450–455.
- SIGMOD-2005-WangWZSPYH #database #graph #named #scalability
- GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications (WW, CW, YZ, BS, JP, XY, JH), pp. 879–881.
- KDD-2004-WangWPZS #database #graph #mining #scalability
- Scalable mining of large disk-based graph databases (CW, WW, JP, YZ, BS), pp. 316–325.