Travelled to:1 × Australia
1 × Austria
1 × Greece
1 × Korea
2 × China
6 × USA
Collaborated with:J.Lee H.Yu Y.Moon J.Lee V.Markl J.Oh K.Whang J.Kim H.Jiang R.Kasperovics M.Pham J.X.Yu S.Hwang H.Kache S.Lee K.Park X.Jiang H.Ho Q.Li W.Cho K.Hong H.Shin S.Hong H.Chafi I.Ko Y.Kim W.Kwak G.M.Lohman J.Ng M.Kandil V.Raman S.Ewen M.Kim
Talks about:graph (8) parallel (6) databas (6) queri (5) optim (4) match (4) rank (4) base (4) subgraph (3) isomorph (3)
Person: Wook-Shin Han
DBLP: Han:Wook=Shin
Contributed to:
2015
2015
201420132013201220112010
20092009200820072007200620022000Wrote 19 papers:
- KDD-2015-OhHYJ #matrix #parallel #performance #robust
- Fast and Robust Parallel SGD Matrix Factorization (JO, WSH, HY, XJ), pp. 865–874.
- VLDB-2015-KimSHHC #morphism #query #rdf
- Taming Subgraph Isomorphism for RDF Query Processing (JK, HS, WSH, SH, HC), pp. 1238–1249.
- SIGMOD-2014-KimHLPY #framework #graph #named #parallel #scalability
- OPT: a new framework for overlapped and parallel triangulation in large-scale graphs (JK, WSH, SL, KP, HY), pp. 637–648.
- KDD-2013-HanLPL0KY #graph #named #parallel #performance
- TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC (WSH, SL, KP, JHL, MSK, JK, HY), pp. 77–85.
- SIGMOD-2013-HanLL #database #graph #morphism #named #robust #scalability #towards
- Turboiso: towards ultrafast and robust subgraph isomorphism search in large graph databases (WSH, JL, JHL), pp. 337–348.
- VLDB-2013-LeeHKL12 #algorithm #comparison #database #graph #morphism
- An In-depth Comparison of Subgraph Isomorphism Algorithms in Graph Databases (JL, WSH, RK, JHL), pp. 133–144.
- SIGMOD-2011-HanLMHY #approach #sequence
- A new approach for processing ranked subsequence matching based on ranked union (WSH, JL, YSM, SwH, HY), pp. 457–468.
- SIGMOD-2011-HanPLKY #analysis #graph #performance
- iGraph in action: performance analysis of disk-based graph indexing techniques (WSH, MDP, JL, RK, JXY), pp. 1241–1242.
- SIGMOD-2011-YuKKHH
- Exact indexing for support vector machines (HY, IK, YK, SwH, WSH), pp. 709–720.
- VLDB-2010-HanLPY #framework #graph #named
- iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques (WSH, JL, MDP, JXY), pp. 449–459.
- CIKM-2009-YuOH #performance #ranking
- Efficient feature weighting methods for ranking (HY, JO, WSH), pp. 1157–1166.
- SIGMOD-2009-HanL #manycore #optimisation #order #query
- Dependency-aware reordering for parallelizing query optimization in multi-core CPUs (WSH, JL), pp. 45–58.
- VLDB-2008-HanJHL #named #streaming #tuple #xml
- StreamTX: extracting tuples from streaming XML data (WSH, HJ, HH, QL), pp. 289–300.
- VLDB-2008-HanKLLM #optimisation #query
- Parallelizing query optimization (WSH, WK, JL, GML, VM), pp. 188–200.
- SIGMOD-2007-HanNMKK #database #optimisation #parallel
- Progressive optimization in a shared-nothing parallel database (WSH, JN, VM, HK, MK), pp. 809–820.
- VLDB-2007-HanLMJ #database #sequence
- Ranked Subsequence Matching in Time-Series Databases (WSH, JL, YSM, HJ), pp. 423–434.
- VLDB-2006-KacheHMRE #named #optimisation #query
- POP/FED: Progressive Query Optimization for Federated Queries in DB2 (HK, WSH, VM, VR, SE), pp. 1175–1178.
- SIGMOD-2002-MoonWH #database #sequence
- General match: a subsequence matching method in time-series databases based on generalized windows (YSM, KYW, WSH), pp. 382–393.
- CIKM-2000-ChoHWH #database #object-oriented
- Estimating Nested Selectivity in Object-Oriented Databases (WSC, WSH, KYW, KHH), pp. 94–101.