Travelled to:
1 × Australia
1 × France
1 × Israel
1 × Italy
1 × Japan
1 × Korea
1 × Norway
1 × Portugal
1 × South Korea
1 × Sweden
1 × Switzerland
1 × Taiwan
1 × Turkey
2 × Finland
2 × Germany
2 × Greece
2 × Spain
2 × United Kingdom
35 × USA
4 × Canada
5 × China
Collaborated with:
X.Lin J.Yang X.Zhang M.W.Godfrey H.Wang P.S.Yu H.Lu H.Jiang J.Pei F.Pan J.X.Yu Y.Xiao Z.Zhou J.Han C.Xiao C.Barrett Y.Zhang P.Wang Y.Huang L.Wang B.Shi Q.Zhang N.Jin C.Young S.Huang S.Y.Shin J.Qin J.Liu B.Wang T.Tan X.Zhou X.Zhang J.Chen H.Guo W.Wu F.Wei W.Li V.Tzerpos B.Fu H.Tsui M.A.Cheema T.Dey M.L.Soffa W.Cui Y.Lu H.Liu Y.Liu L.McMillan J.Prins W.Cheng W.Zhang S.Aminikhanghahi S.Jeon X.Zhou Y.Wang C.Wang Y.Zhu H.Malik Y.Lu J.Shu T.Wies E.Y.Liu Z.Zhang Y.Lin K.Gui F.Zou J.Li W.Chen R.R.Muntz X.Yang Y.Wang S.Yang J.W.Davidson P.Huang Y.Chen X.Du R.Besançon O.Ferret B.Grau S.Tanachutiwat J.U.Lee C.Y.Sung M.Liu S.Li Y.He Y.Chen Z.Liu C.Zhang C.Wang X.Cui A.Wang A.B.Nobel Y.Luo G.Liu J.Zhang J.Huan Y.Fu J.Chiang K.Koperski O.R.Zaïane H.Su X.Li S.Xia Y.Sun X.Wang K.Zhang H.Tong S.H.Son B.K.Jung H.D.Choi J.K.Pack B.C.Ooi X.Yang D.Zhang Y.Zhuang L.Tang J.Mars J.Lu C.Lin C.Li H.Wang D.Liu H.Wang N.Du Z.J.Li J.Zhu G.Geng X.Li L.Wang S.Shen Y.Lu H.Shang J.Wang X.Wang Q.Chen Y.Wang L.Huo Q.Huang W.Gao J.Zhang N.K.Govindaraju B.Lloyd M.C.Lin D.Manocha H.Liu S.Silvestro C.T.0002 T.Liu N.Ramakrishnan P.Butler N.Self P.Saraf S.Son C.Pack W.Chan W.Yang J.Tang J.Du Z.Guo Y.Wu P.F.Sullivan F.Jin Y.Ishikawa K.Tsuda K.Sadakane X.Qin W.Zhang J.Wei X.Zhao T.Huang C.Lin J.Yang R.Cai X.Wang L.Zhang J.Xu X.Wang A.W.Fu H.Wang J.Li Y.Yuan Q.Liu Q.Zhang H.Hemmati S.Nadi O.Baysal O.Kononenko R.Holmes B.Zhang G.Ye J.Xu G.Herman Y.Yang X.Yan Q.Wang R.Brown K.Driesen B.Dufour L.J.Hendren C.Verbrugge Zhuying Li Rakesh Patibanda Felix Brandmueller Kyle Berean Stefan Greuter F.'.Mueller C.Wang J.Wang H.Li W.Tian J.Xu R.Li D.Babic S.Bucur Y.Chen F.Ivancic T.King M.Kusano C.Lemieux L.Szekeres W.Gong D.Li Y.Lu A.Rajan N.Stefanovic B.Xia S.Muthiah R.P.Khandpur J.Cadena A.Vullikanti G.Korkmaz C.J.Kuhlman A.Marathe L.Zhao T.Hua F.Chen C.Lu B.Huang A.Srinivasan K.Trinh L.Getoor G.Katz A.Doyle C.Ackermann I.Zavorin J.Ford K.M.Summers Y.Fayed J.Arredondo D.Gupta D.Mares
Talks about:
base (20) mine (15) data (13) cluster (11) effici (11) queri (10) pattern (9) databas (9) graph (9) use (9)
Person: Wei Wang
DBLP: Wang:Wei
Facilitated 1 volumes:
Contributed to:
Wrote 106 papers:
- MSR-2015-WangMG #api #developer #recommendation
- Recommending Posts concerning API Issues in Developer Q&A Sites (WW, HM, MWG), pp. 224–234.
- SAC-2015-AminikhanghahiS #image #robust
- Study of wireless mammography image transmission impacts on robust cyber-aided diagnosis systems (SA, SYS, WW, SIJ, SHS, CP), pp. 2252–2256.
- SIGMOD-2015-YangWWW #approximate #performance #query #string
- Local Filtering: Improving the Performance of Approximate Queries on String Collections (XY, YW, BW, WW), pp. 377–392.
- TACAS-2015-WangB #contest #named
- Cascade — (Competition Contribution) (WW, CB), pp. 420–422.
- VLDB-2015-SunWQZL14 #approximate #named #nearest neighbour #query
- SRS: Solving c-Approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index (YS, WW, JQ, YZ, XL), pp. 1–12.
- VLDB-2015-WangZZLW14 #correlation #estimation #streaming #using
- Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations (XW, YZ, WZ, XL, WW), pp. 101–112.
- VLDB-2015-YangCLW #analysis #nearest neighbour #query
- Reverse k Nearest Neighbors Query Processing: Experiments and Analysis (SY, MAC, XL, WW), pp. 605–616.
- CIKM-2014-ZhangXTW0 #clustering #framework #generative #named #platform #wiki
- WiiCluster: a Platform for Wikipedia Infobox Generation (KZ, YX, HT, HW, WW), pp. 2033–2035.
- DATE-2014-WangLS #named #parallel #semantics
- p-OFTL: An object-based semantic-aware parallel flash translation layer (WW, YL, JS), pp. 1–6.
- HPCA-2014-WangDDS #concurrent #memory management #multi #named #predict #source code #thread
- DraMon: Predicting memory bandwidth usage of multi-threaded programs with high accuracy and low overhead (WW, TD, JWD, MLS), pp. 380–391.
- ICPR-2014-HuangHWW #clustering #network
- Deep Embedding Network for Clustering (PH, YH, WW, LW), pp. 1532–1537.
- ICPR-2014-HuangW0T #framework #network
- A General Nonlinear Embedding Framework Based on Deep Neural Network (YH, WW, LW, TT), pp. 732–737.
- ICSME-2014-WangG #design #recommendation #refactoring #using
- Recommending Clones for Refactoring Using Design, Context, and History (WW, MWG), pp. 331–340.
- KDD-2014-RamakrishnanBMSKSWCVKKMZHCLHSTGKDAZFSFAGM #open source #using
- “Beating the news” with EMBERS: forecasting civil unrest using open source indicators (NR, PB, SM, NS, RPK, PS, WW, JC, AV, GK, CJK, AM, LZ, TH, FC, CTL, BH, AS, KT, LG, GK, AD, CA, IZ, JF, KMS, YF, JA, DG, DM), pp. 1799–1808.
- SAC-2014-AminikhanghahiWSSJ #effectiveness #feature model #smarttech
- Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening (SA, WW, SYS, SHS, SIJ), pp. 674–679.
- SAC-2014-JungSWCP #difference #retrieval
- Similar MRI object retrieval based on modified contour to centroid triangulation with arc difference rate (BKJ, SYS, WW, HDC, JKP), pp. 31–32.
- SIGMOD-2014-CuiXWW #community #graph #scalability
- Local search of communities in large graphs (WC, YX, HW, WW), pp. 991–1002.
- VLDB-2014-WangOYZZ #effectiveness #multi #retrieval
- Effective Multi-Modal Retrieval based on Stacked Auto-Encoders (WW, BCO, XY, DZ, YZ), pp. 649–660.
- VMCAI-2014-WangBW
- Cascade 2.0 (WW, CB, TW), pp. 142–160.
- ASPLOS-2013-TangMWDS #compilation #named
- ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers (LT, JM, WW, TD, MLS), pp. 89–100.
- CIKM-2013-ChanYTDZW #categorisation #classification #community #kernel #topic
- Community question topic categorization via hierarchical kernelized classification (WC, WY, JT, JD, XZ, WW), pp. 959–968.
- KDD-2013-ChengZGWSW #clustering #flexibility #graph #multi #robust
- Flexible and robust co-regularized multi-domain graph clustering (WC, XZ, ZG, YW, PFS, WW), pp. 320–328.
- KDD-2013-JinSSBWR #modelling #named #using
- Forex-foreteller: currency trend modeling using news articles (FJ, NS, PS, PB, WW, NR), pp. 1470–1473.
- MSR-2013-HemmatiNBKWHG #mining #research
- The MSR cookbook: mining a decade of research (HH, SN, OB, OK, WW, RH, MWG), pp. 343–352.
- MSR-2013-WangG #android #api #case study #detection #developer
- Detecting API usage obstacles: a study of iOS and Android developer questions (WW, MWG), pp. 61–64.
- SIGMOD-2013-CuiXWLW #community #online
- Online search of overlapping communities (WC, YX, HW, YL, WW), pp. 277–288.
- SIGMOD-2013-LuLWLW #metric #similarity #string
- String similarity measures and joins with synonyms (JL, CL, WW, CL, HW), pp. 373–384.
- VLDB-2013-WangWPWH #adaptation #segmentation
- A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series (YW, PW, JP, WW, SH), pp. 793–804.
- VLDB-2013-XiaoQ0ITS #performance #query
- Efficient Error-tolerant Query Autocompletion (CX, JQ, WW, YI, KT, KS), pp. 373–384.
- CIKM-2012-ChengZPW #clustering
- Hierarchical co-clustering based on entropy splitting (WC, XZ, FP, WW), pp. 1472–1476.
- CIKM-2012-QinZWWZH #migration #optimisation
- Optimizing data migration for cloud-based key-value stores (XQ, WZ, WW, JW, XZ, TH), pp. 2204–2208.
- CSCW-2012-LiuWLWD #named
- HappyGo: a field trial of local group buying (HL, WW, DL, HW, ND), pp. 505–508.
- ICPR-2012-HuangW0T #effectiveness #modelling
- An effective regional saliency model based on extended site entropy rate (YH, WW, LW, TT), pp. 1407–1410.
- ICSE-2012-HuangLXW #mining #recommendation #repository #xml
- Mining application repository to recommend XML configuration snippets (SH, YL, YX, WW), pp. 1451–1452.
- CIKM-2011-ChenWDZ #correlation #monitoring
- Continuously monitoring the correlations of massive discrete streams (YC, WW, XD, XZ), pp. 1571–1576.
- CIKM-2011-WangBFG #clustering #information management
- Filtering and clustering relations for unsupervised information extraction in open domain (WW, RB, OF, BG), pp. 1405–1414.
- ICSM-2011-HuangLZXW #approach #novel #testing
- A novel approach to regression test selection for J2EE applications (SH, ZJL, JZ, YX, WW), pp. 13–22.
- KDD-2011-LiuZW #clustering #constraints
- Clustering with relative constraints (EYL, ZZ, WW), pp. 947–955.
- SAC-2011-WangZ #detection #performance #web
- High-speed web attack detection through extracting exemplars from HTTP traffic (WW, XZ), pp. 1538–1543.
- SCAM-2011-WangG #case study #linux
- A Study of Cloning in the Linux SCSI Drivers (WW, MWG), pp. 95–104.
- SIGIR-2011-ChenGWW #named
- iMecho: a context-aware desktop search system (JC, HG, WW, WW), pp. 1269–1270.
- SIGIR-2011-GengLWWS #assessment #feature model #quality #statistics #web
- Statistical feature extraction for cross-language web content quality assessment (GG, XL, LMW, WW, SS), pp. 1129–1130.
- SIGMOD-2011-QinWLXL #performance #query #similarity #symmetry
- Efficient exact edit similarity query processing with the asymmetric signature scheme (JQ, WW, YL, CX, XL), pp. 1033–1044.
- SIGMOD-2011-WangWW #semantics
- Finding semantics in time series (PW, HW, WW), pp. 385–396.
- DAC-2010-TanachutiwatLWS #configuration management #logic #multi
- Reconfigurable multi-function logic based on graphene P-N junctions (ST, JUL, WW, CYS), pp. 883–888.
- HPDC-2010-LinWG #gpu #migration
- OpenGL application live migration with GPU acceleration in personal cloud (YL, WW, KG), pp. 280–283.
- ICML-2010-WangZ #analysis
- A New Analysis of Co-Training (WW, ZHZ), pp. 1135–1142.
- ICPR-2010-ZhangYWWXHY #graph #multi #recognition
- Multi-class Graph Boosting with Subgraph Sharing for Object Recognition (BZ, GY, YW, WW, JX, GH, YY), pp. 1541–1544.
- SIGMOD-2010-JinYW #classification #graph #named #using
- GAIA: graph classification using evolutionary computation (NJ, CY, WW), pp. 879–890.
- SIGMOD-2010-ShangLZYW #similarity
- Connected substructure similarity search (HS, XL, YZ, JXY, WW), pp. 903–914.
- SIGMOD-2010-WangWLW #algorithm #approach #summary
- An algorithmic approach to event summarization (PW, HW, ML, WW), pp. 183–194.
- SIGMOD-2010-WangWLWWLTXL #dataset #detection #named
- MapDupReducer: detecting near duplicates over massive datasets (CW, JW, XL, WW, HW, HL, WT, JX, RL), pp. 1119–1122.
- CIKM-2009-ChenGWW #memory management #named
- iMecho: an associative memory based desktop search system (JC, HG, WW, WW), pp. 731–740.
- CIKM-2009-JinYW #classification #graph
- Graph classification based on pattern co-occurrence (NJ, CY, WW), pp. 573–582.
- CIKM-2009-WangWLL #named #query #ranking #summary
- HyperSum: hypergraph based semi-supervised sentence ranking for query-oriented summarization (WW, FW, WL, SL), pp. 1855–1858.
- CIKM-2009-WeiLWH #framework #interactive #named #ranking #summary
- iRANK: an interactive ranking framework and its application in query-focused summarization (FW, WL, WW, YH), pp. 1557–1560.
- OCSC-2009-LiuLWW #design #mobile #scalability #social
- Mobile Social Service Design for Large-Scale Exhibition (HL, YL, WW, BW), pp. 72–81.
- OCSC-2009-WangWLWC #case study #concept #design #network #social #user study
- Ethnographic User Study and Concept Design for Chinese Migrant Workers’ Social Networks (JW, WW, YL, XW, QC), pp. 710–718.
- SIGIR-2009-LinYCWW #approach #modelling #semantics #thread
- Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applications (CL, JMY, RC, XJW, WW, LZ), pp. 131–138.
- SIGMOD-2009-ChenWLL #keyword
- Keyword search on structured and semi-structured data (YC, WW, ZL, XL), pp. 1005–1010.
- SIGMOD-2009-WangXLZ #approximate #constraints #distance #edit distance #performance
- Efficient approximate entity extraction with edit distance constraints (WW, CX, XL, CZ), pp. 759–770.
- VLDB-2009-CheemaLZWZ #lazy evaluation #monitoring #performance
- Lazy Updates: An Efficient Technique to Continuously Monitoring Reverse kNN (MAC, XL, YZ, WW, WZ), pp. 1138–1149.
- CIKM-2008-ZhangPW #named
- REDUS: finding reducible subspaces in high dimensional data (XZ, FP, WW), pp. 961–970.
- ICML-2008-WangZ #learning #multi #on the
- On multi-view active learning and the combination with semi-supervised learning (WW, ZHZ), pp. 1152–1159.
- ICPR-2008-WangWCW #algorithm #clustering #learning
- A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model (WW, CW, XC, AW), pp. 1–4.
- ICPR-2008-WangWHHG #image #symmetry
- Symmetric segment-based stereo matching of motion blurred images with illumination variations (WW, YW, LH, QH, WG), pp. 1–4.
- KDD-2008-ZhangZW #algorithm #named #performance
- Fastanova: an efficient algorithm for genome-wide association study (XZ, FZ, WW), pp. 821–829.
- SIGMOD-2008-PanZW #clustering #composition #dataset #matrix #named #performance #scalability
- CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition (FP, XZ, WW), pp. 173–184.
- VLDB-2008-XiaoWL #algorithm #constraints #distance #edit distance #named #performance #similarity
- Ed-Join: an efficient algorithm for similarity joins with edit distance constraints (CX, WW, XL), pp. 933–944.
- VLDB-2008-ZhangPWN #correlation #higher-order #mining
- Mining non-redundant high order correlations in binary data (XZ, FP, WW, ABN), pp. 1178–1188.
- CIKM-2007-ZhangW #algorithm #approximate #data type #performance
- An efficient algorithm for approximate biased quantile computation in data streams (QZ, WW), pp. 1023–1026.
- SIGMOD-2007-LuoLWZ #database #keyword #named #query #relational
- Spark: top-k keyword query in relational databases (YL, XL, WW, XZ), pp. 115–126.
- CIKM-2006-ZhangW #array #mining
- Mining coherent patterns from heterogeneous microarray data (XZ, WW), pp. 838–839.
- ICPR-v4-2006-WangLC06a #coordination
- Fingerprint Minutiae Matching Based on Coordinate System Bank and Global Optimum Alignment (WW, JL, WC), pp. 401–404.
- KDD-2006-LiuZWMP #clustering #difference #order #set
- Clustering pair-wise dissimilarity data into partially ordered sets (JL, QZ, WW, LM, JP), pp. 637–642.
- KDD-2006-XuWPWSF #using
- Utility-based anonymization using local recoding (JX, WW, JP, XW, BS, AWCF), pp. 785–790.
- VLDB-2006-ZhangZWSP #feedback #image #interactive #using
- Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrival (JZ, XZ, WW, BS, JP), pp. 1211–1214.
- SIGMOD-2005-LiuZWM #database
- A system for analyzing and indexing human-motion databases (GL, JZ, WW, LM), pp. 924–926.
- 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.
- VLDB-2005-WangWLJLL #performance #query #using #xml
- Efficient Processing of XML Path Queries Using the Disk-based F&B Index (WW, HW, HL, HJ, XL, JL), pp. 145–156.
- VLDB-2005-YuanLLWYZ #performance
- Efficient Computation of the Skyline Cube (YY, XL, QL, WW, JXY, QZ), pp. 241–252.
- WCRE-2005-WangT #design pattern #detection #eiffel
- Design Pattern Detection in Eiffel Systems (WW, VT), pp. 165–174.
- ICALP-2004-FuW #algorithm
- A 2O(n1-(1/d)log n) Time Algorithm for d-Dimensional Protein Folding in the HP-Model (BF, WW), pp. 630–644.
- KDD-2004-HuanWPY #database #graph #mining #named
- SPIN: mining maximal frequent subgraphs from graph databases (JH, WW, JP, JY), pp. 581–586.
- KDD-2004-LiuWY #clustering #framework
- A framework for ontology-driven subspace clustering (JL, WW, JY), pp. 623–628.
- KDD-2004-WangWPZS #database #graph #mining #scalability
- Scalable mining of large disk-based graph databases (CW, WW, JP, YZ, BS), pp. 316–325.
- SIGMOD-2004-GovindarajuLWLM #database #performance #using
- Fast Computation of Database Operations using Graphics Processors (NKG, BL, WW, MCL, DM), pp. 215–226.
- SIGMOD-2004-JiangLW #performance #query
- Efficient Processing of Twig Queries with OR-Predicates (HJ, HL, WW), pp. 59–70.
- VLDB-2004-WangJLY #estimation #xml
- Bloom Histogram: Path Selectivity Estimation for XML Data with Updates (WW, HJ, HL, JXY), pp. 240–251.
- SIGMOD-2003-WangJLY #estimation #modelling
- Containment Join Size Estimation: Models and Methods (WW, HJ, HL, JXY), pp. 145–156.
- SOFTVIS-2003-WangWBDDHV #framework #named #visualisation
- EVolve: An Open Extensible Software Visualisation Framework (QW, WW, RB, KD, BD, LJH, CV), pp. 37–46.
- VLDB-2003-JiangWL #documentation #xml
- Holistic Twig Joins on Indexed XML Documents (HJ, WW, HL, JXY), pp. 273–284.
- CIKM-2002-PeiHW #constraints #database #mining #scalability
- Mining sequential patterns with constraints in large databases (JP, JH, WW), pp. 18–25.
- SIGMOD-2002-WangWYY #clustering #scalability #set #similarity
- Clustering by pattern similarity in large data sets (HW, WW, JY, PSY), pp. 394–405.
- SIGMOD-2002-YangWYH #mining
- Mining long sequential patterns in a noisy environment (JY, WW, PSY, JH), pp. 406–417.
- KDD-2001-YangWY #mining #named
- Infominer: mining surprising periodic patterns (JY, WW, PSY), pp. 395–400.
- ICPR-v1-2000-WangT #composition #matrix
- An SVD Decomposition of Essential Matrix with Eight Solutions for the Relative Positions of Two Perspective Cameras (WW, HTT), pp. 1362–1365.
- KDD-2000-WangYY #mining #performance
- Efficient mining of weighted association rules (WAR) (WW, JY, PSY), pp. 270–274.
- KDD-2000-YangWY #mining
- Mining asynchronous periodic patterns in time series data (JY, WW, PSY), pp. 275–279.
- VLDB-1997-WangYM #approach #data mining #grid #mining #named #statistics
- STING: A Statistical Information Grid Approach to Spatial Data Mining (WW, JY, RRM), pp. 186–195.
- KDD-1996-HanFWCGKLLRSXZ #database #mining #named #relational #scalability
- DBMiner: A System for Mining Knowledge in Large Relational Databases (JH, YF, WW, JC, WG, KK, DL, YL, AR, NS, BX, ORZ), pp. 250–255.
- SIGMOD-1996-HanFWCZK #database #interactive #mining #multi #named #relational
- DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases (JH, YF, WW, JC, ORZ, KK), p. 550.
- ICDAR-v1-1995-SuWLX #network
- Hierarchical neural network for recognizing hand-written characters in engineering drawings (HS, WW, XL, SX), pp. 46–49.
- ESEC-FSE-2019-BabicBCIKKLSW #generative #named #scalability
- FUDGE: fuzz driver generation at scale (DB, SB, YC, FI, TK, MK, CL, LS, WW), pp. 975–985.
- CHI-PLAY-2018-LiPBWBGM #design #game studies #towards
- The Guts Game: Towards Designing Ingestible Games (ZL, RP, FB, WW, KB, SG, F'M), pp. 271–283.
- PLDI-2018-LiuSWTL #named #parallel #thread
- iReplayer: in-situ and identical record-and-replay for multithreaded applications (HL, SS, WW, CT0, TL), pp. 344–358.