Travelled to:
1 × China
1 × United Kingdom
2 × Australia
3 × USA
Collaborated with:
L.Qin J.X.Yu X.Lin W.Zhang C.Zhang R.Li L.Lai W.Yu J.Pei Z.Zhang Y.Zhu H.Wang Y.Zhang H.Cheng C.Liu W.Liang
Talks about:
effici (4) comput (4) graph (3) subgraph (2) scalabl (2) keyword (2) connect (2) enumer (2) compon (2) reduc (2)
Person: Lijun Chang
DBLP: Chang:Lijun
Contributed to:
Wrote 13 papers:
- KDD-2015-QinLCZ
- Locally Densest Subgraph Discovery (LQ, RHL, LC, CZ), pp. 965–974.
- SIGMOD-2015-ChangLQYZ #algorithm #component
- Index-based Optimal Algorithms for Computing Steiner Components with Maximum Connectivity (LC, XL, LQ, JXY, WZ), pp. 459–474.
- VLDB-2015-ChangLZYZQ #performance
- Optimal Enumeration: Efficient Top-k Tree Matching (LC, XL, WZ, JXY, YZ, LQ), pp. 533–544.
- VLDB-2015-LaiQLC #pipes and filters #scalability
- Scalable Subgraph Enumeration in MapReduce (LL, LQ, XL, LC), pp. 974–985.
- SIGMOD-2014-QinYCCZL #graph #pipes and filters #scalability
- Scalable big graph processing in MapReduce (LQ, JXY, LC, HC, CZ, XL), pp. 827–838.
- VLDB-2014-YuLZCP13 #effectiveness
- More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarities Based on Hyperlinks (WY, XL, WZ, LC, JP), pp. 13–24.
- SIGMOD-2013-ChangYQLLL #component #composition #graph
- Efficiently computing k-edge connected components via graph decomposition (LC, JXY, LQ, XL, CL, WL), pp. 205–216.
- SIGMOD-2013-ZhangYQCL #graph #performance
- I/O efficient: computing SCCs in massive graphs (ZZ, JXY, LQ, LC, XL), pp. 181–192.
- VLDB-2012-QinYC
- Diversifying Top-K Results (LQ, JXY, LC), pp. 1124–1135.
- CIKM-2011-ChangYQZW #network #scalability
- Finding information nebula over large networks (LC, JXY, LQ, YZ, HW), pp. 1465–1474.
- VLDB-2010-QinYC #keyword #parallel #query
- Ten Thousand SQLs: Parallel Keyword Queries Computing (LQ, JXY, LC), pp. 58–69.
- CIKM-2009-ChangYQ #documentation #ranking
- Context-sensitive document ranking (LC, JXY, LQ), pp. 1533–1536.
- SIGMOD-2009-QinYC #database #keyword #power of
- Keyword search in databases: the power of RDBMS (LQ, JXY, LC), pp. 681–694.