BibSLEIGH — Philip_S

Travelled to:

1 × Austria
1 × Chile
1 × Cyprus
1 × Japan
1 × Korea
1 × Norway
1 × The Netherlands
1 × United Kingdom
2 × France
2 × Germany
2 × Ireland
2 × Switzerland
4 × Australia
42 × USA
5 × Canada
5 × China

Collaborated with:

C.C.Aggarwal M.Chen J.Han K.Wu H.Wang X.Yan X.Kong W.Fan Z.(.Zhang B.Long W.Wang J.Yang B.Gedik Y.Xie B.Liu G.Luo S.Papadimitriou J.S.Park V.S.Tseng G.Wang J.X.Yu J.Zhang X.Yin L.Chen Y.Sun C.Tai X.Shi B.Shie Y.Huang A.Dan D.M.Dias Y.Zhao J.L.Wolf C.Wu X.Wu J.Wang D.W.Cornell J.Pei M.Vlachos J.Wang R.Bordawekar S.Chen Z.Sun H.Hsiao H.Shuai Q.Hu Y.Tong Y.Li C.Shi Y.Ma D.Yang S.Lin L.Cao G.P.C.Fung H.He J.Yang M.M.Gaber L.Liu M.Lo B.R.Iyer S.Xie R.C.Wong A.W.Fu J.Yin J.Sun C.Faloutsos C.Pu J.Zhang C.Wang C.Chen B.Wu H.Cheng Y.Lv C.Lu Z.Zhou B.Cao M.Yuan R.Yan C.Tang P.Zhao J.McCloskey M.Hsieh Y.Chi J.J.Salerno W.Teng S.Kim Y.Xia V.Cardellini S.C.Gates C.Li V.Castelli S.S.Chawathe C.M.Krishna Y.Lee J.Gao Y.Wan Z.Zhao G.Xu J.W.0001 X.Gu Y.Teng S.Song A.Zhang S.Wu H.Chien K.Lin S.Wang X.Hu Z.Li M.Chiang Y.Lin W.Peng F.Wang Y.Lin C.Long M.Jiang Y.Ding D.J.Wild Y.Cheng Y.Xu Z.Zhang N.Mohammed R.Chen B.C.M.Fung J.Zhang B.Liu Y.Xiao Y.Ou G.Wei R.Jin C.Perng Y.Xu K.Wang M.Yeh H.Liu F.Li G.Kollios V.Hristidis O.Valdivia C.Liu Z.Vagena V.Athitsos H.Lu S.Park W.S.Lee X.Li C.Lin C.Lee J.Chung J.Z.Teng M.K.Tsang C.V.Ravishankar H.C.Young J.T.Robinson Y.Zhang J.Tang Z.Yang R.Wang Y.Li J.Zhang R.J.Luo Y.Chang D.S.Turaga S.Liu S.Zhang J.Wang C.T.Yu W.Meng Y.Cai Z.Yan C.Li L.Zhao W.Lin T.Wu M.T.Özsu L.Liu H.Tong H.Andrade M.Doo A.Anagnostopoulos M.Hadjieleftheriou E.J.Keogh C.K.Wong S.M.Lee C.M.Procopiuc D.Florissi P.Soares Y.Ning Y.Liu C.Zhou G.Liu B.Wang B.Norick X.Yu F.Zhu Q.Qu D.Lo D.Zhang M.Y.0007 H.Ying J.Shu Y.Sui K.Zhang O.Verscheure K.Hildrum E.Bouillet D.George

Talks about:

data (34) mine (32) network (25) stream (24) graph (21) base (17) cluster (16) index (16) pattern (14) social (12)

Person: Philip S. Yu

DBLP: Yu:Philip_S=

Facilitated 1 volumes:

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

1995

1994

1993

1992

1990

1989

1987

1986

2018

2019

Wrote 156 papers:

KDD-2015-TengTYC #constraints #effectiveness: An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint (YWT, CHT, PSY, MSC), pp. 1175–1184.
KDD-2015-ZhangTYPY #consistency #named #network #social: COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency (YZ, JT, ZY, JP, PSY), pp. 1485–1494.
KDD-2015-ZhangYL: Organizational Chart Inference (JZ, PSY, YL), pp. 1435–1444.
SIGMOD-2015-SongZWY #constraints #named: SCREEN: Stream Data Cleaning under Speed Constraints (SS, AZ, JW, PSY), pp. 827–841.
CIKM-2014-LuSY #identification #network #social: Identifying Your Customers in Social Networks (CTL, HHS, PSY), pp. 391–400.
CIKM-2014-ShiWLYW #clustering #network: Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection (CS, RW, YL, PSY, BW), pp. 699–708.
CIKM-2014-ZhangKLCY #approach #named #scalability: NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites (JZ, XK, RJL, YC, PSY), pp. 709–718.
ICML-c2-2014-WuCLY #behaviour #consistency #learning #network #predict #social: Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks (SHW, HHC, KHL, PSY), pp. 298–306.
KDD-2014-WangHYL #multi #named #network: MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
KDD-2014-XieGFTY: Class-distribution regularized consensus maximization for alleviating overfitting in model combination (SX, JG, WF, DST, PSY), pp. 303–312.
KDD-2014-ZhangYZ #multi #predict: Meta-path based multi-network collective link prediction (JZ, PSY, ZHZ), pp. 1286–1295.
VLDB-2014-ShuaiYYC13 #optimisation #process #social: Willingness Optimization for Social Group Activity (HHS, DNY, PSY, MSC), pp. 253–264.
CIKM-2013-KongZY #multi #network #social: Inferring anchor links across multiple heterogeneous social networks (XK, JZ, PSY), pp. 179–188.
KDD-2013-ChiangLPY: Inferring distant-time location in low-sampling-rate trajectories (MFC, YHL, WCP, PSY), pp. 1454–1457.
KDD-2013-KongCY #classification #correlation #mining #multi #network: Multi-label classification by mining label and instance correlations from heterogeneous information networks (XK, BC, PSY), pp. 614–622.
KDD-2013-LinWHY #information management #learning #modelling #social: Extracting social events for learning better information diffusion models (SL, FW, QH, PSY), pp. 365–373.
KDD-2013-WuLYT #mining #sequence: Mining high utility episodes in complex event sequences (CWW, YFL, PSY, VST), pp. 536–544.
KDD-2013-ZhangWNLWY #how #named #network #predict #social #visualisation: LAFT-Explorer: inferring, visualizing and predicting how your social network expands (JZ, CW, YN, YL, JW, PSY), pp. 1510–1513.
KDD-2013-ZhaoWYLZ #network #social: Inferring social roles and statuses in social networks (YZ, GW, PSY, SL, SZ), pp. 695–703.
SIGIR-2013-ZhangWYW #learning #network #predict: Learning latent friendship propagation networks with interest awareness for link prediction (JZ, CW, PSY, JW), pp. 63–72.
SIGMOD-2013-LongWYJ #on the #worst-case: On optimal worst-case matching (CL, RCWW, PSY, MJ), pp. 845–856.
CIKM-2012-KongYDW #classification #network: Meta path-based collective classification in heterogeneous information networks (XK, PSY, YD, DJW), pp. 1567–1571.
CIKM-2012-WangHY #network #similarity: Influence and similarity on heterogeneous networks (GW, QH, PSY), pp. 1462–1466.
CIKM-2012-WangYYLM: Diversionary comments under political blog posts (JW, CTY, PSY, BL, WM), pp. 1789–1793.
KDD-2012-ShiZKYLW #named #network #recommendation #semantics: HeteRecom: a semantic-based recommendation systemin heterogeneous networks (CS, CZ, XK, PSY, GL, BW), pp. 1552–1555.
KDD-2012-SunNHYYY #clustering #network: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (YS, BN, JH, XY, PSY, XY), pp. 1348–1356.
KDD-2012-TongCY #mining #named #nondeterminism: UFIMT: an uncertain frequent itemset mining toolbox (YT, LC, PSY), pp. 1508–1511.
KDD-2012-WangZSY #community #identification #network #social: Magnet community identification on social networks (GW, YZ, XS, PSY), pp. 588–596.
KDD-2012-WuSTY #mining: Mining top-K high utility itemsets (CWW, BES, VST, PSY), pp. 78–86.
KDD-2012-XieWLY #detection #overview: Review spam detection via temporal pattern discovery (SX, GW, SL, PSY), pp. 823–831.
VLDB-2012-SunHYY #analysis #approach #mining #network: Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.
VLDB-2012-TongCCY #database #mining #nondeterminism: Mining Frequent Itemsets over Uncertain Databases (YT, LC, YC, PSY), pp. 1650–1661.
CIKM-2011-ShiLY #graph #predict: Collective prediction with latent graphs (XS, YL, PSY), pp. 1127–1136.
CIKM-2011-ShiYCYW #community #detection #multi #on the: On selection of objective functions in multi-objective community detection (CS, PSY, YC, ZY, BW), pp. 2301–2304.
CIKM-2011-XieY #graph #named #performance #scalability: CP-index: on the efficient indexing of large graphs (YX, PSY), pp. 1795–1804.
CIKM-2011-XuZYL #set: Pattern change discovery between high dimensional data sets (YX, ZZ, PSY, BL), pp. 1097–1106.
KDD-2011-AggarwalXY #data-driven #on the: On dynamic data-driven selection of sensor streams (CCA, YX, PSY), pp. 1226–1234.
KDD-2011-KongFY #classification #graph: Dual active feature and sample selection for graph classification (XK, WF, PSY), pp. 654–662.
KDD-2011-MohammedCFY #data mining #mining: Differentially private data release for data mining (NM, RC, BCMF, PSY), pp. 493–501.
KDD-2011-ShiFZY #evolution #graph: Discovering shakers from evolving entities via cascading graph inference (XS, WF, JZ, PSY), pp. 1001–1009.
KDD-2011-TaiYYC #network #privacy #social: Privacy-preserving social network publication against friendship attacks (CHT, PSY, DNY, MSC), pp. 1262–1270.
VLDB-2011-LiYZXL #named: InfoNetOLAPer: Integrating InfoNetWarehouse and InfoNetCube with InfoNetOLAP (CL, PSY, LZ, YX, WL), pp. 1422–1425.
VLDB-2011-SunHYYW #named #network #similarity: PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks (YS, JH, XY, PSY, TW), pp. 992–1003.
VLDB-2011-YuanCY10 #network #personalisation #privacy #social: Personalized Privacy Protection in Social Networks (MY, LC, PSY), pp. 141–150.
VLDB-2011-ZhuQLYHY #mining #network #scalability: Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.
CIKM-2010-LiuXCY #classification #feature model #multi: Orientation distance-based discriminative feature extraction for multi-class classification (BL, YX, LC, PSY), pp. 909–918.
CIKM-2010-ZhaoAY #composition #nondeterminism #on the #set: On wavelet decomposition of uncertain time series data sets (YZ, CCA, PSY), pp. 129–138.
KDD-2010-CaoOYW #behaviour #detection #sequence: Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors (LC, YO, PSY, GW), pp. 85–94.
KDD-2010-KongY #classification #feature model #graph: Semi-supervised feature selection for graph classification (XK, PSY), pp. 793–802.
KDD-2010-TaiYC #mining #outsourcing #pseudo #taxonomy: k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining (CHT, PSY, MSC), pp. 473–482.
KDD-2010-TsengWSY #algorithm #mining #named #performance: UP-Growth: an efficient algorithm for high utility itemset mining (VST, CWW, BES, PSY), pp. 253–262.
SAC-2010-ShieTY #data type #mining #online: Online mining of temporal maximal utility itemsets from data streams (BES, VST, PSY), pp. 1622–1626.
SIGMOD-2010-HanSYY #analysis #approach #database #mining #network: Mining knowledge from databases: an information network analysis approach (JH, YS, XY, PSY), pp. 1251–1252.
VLDB-2010-AggarwalLYJ #graph #mining #on the: On Dense Pattern Mining in Graph Streams (CCA, YL, PSY, RJ), pp. 975–984.
VLDB-2009-AggarwalXY #graph #named: GConnect: A Connectivity Index for Massive Disk-resident Graphs (CCA, YX, PSY), pp. 862–873.
VLDB-2009-WongOYFL #nearest neighbour #performance: Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor (RCWW, MTÖ, PSY, AWCF, LL), pp. 1126–1137.
CIKM-2008-LuoY #maintenance #online #performance: Content-based filtering for efficient online materialized view maintenance (GL, PSY), pp. 163–172.
CIKM-2008-LuoYY #detection #realtime #video: Real-time new event detection for video streams (GL, RY, PSY), pp. 379–388.
CIKM-2008-WangYPY #assurance #encryption #query: Dual encryption for query integrity assurance (HW, JY, CSP, PSY), pp. 863–872.
KDD-2008-FanZCGYHYV #mining #modelling: Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.
KDD-2008-TongPSYF #graph #mining #named #performance #scalability: Colibri: fast mining of large static and dynamic graphs (HT, SP, JS, PSY, CF), pp. 686–694.
KDD-2008-XuWFY #database #transaction: Anonymizing transaction databases for publication (YX, KW, AWCF, PSY), pp. 767–775.
SIGMOD-2008-GedikAWYD #declarative #named: SPADE: the system s declarative stream processing engine (BG, HA, KLW, PSY, MD), pp. 1123–1134.
SIGMOD-2008-YanCHY #graph #mining: Mining significant graph patterns by leap search (XY, HC, JH, PSY), pp. 433–444.
VLDB-2008-YehWYC #distributed #named #query: LeeWave: level-wise distribution of wavelet coefficients for processing kNN queries over distributed streams (MYY, KLW, PSY, MSC), pp. 586–597.
ICML-2007-LongZWY #clustering #relational #symmetry: Relational clustering by symmetric convex coding (BL, Z(Z, XW, PSY), pp. 569–576.
KDD-2007-AggarwalY #classification #data type #on the #string: On string classification in data streams (CCA, PSY), pp. 36–45.
KDD-2007-FungYLY: Time-dependent event hierarchy construction (GPCF, JXY, HL, PSY), pp. 300–309.
KDD-2007-LongZY #clustering #framework #probability #relational: A probabilistic framework for relational clustering (BL, Z(Z, PSY), pp. 470–479.
KDD-2007-SunFPY #graph #mining #named #scalability: GraphScope: parameter-free mining of large time-evolving graphs (JS, CF, SP, PSY), pp. 687–696.
KDD-2007-YinHY #multi #web: Truth discovery with multiple conflicting information providers on the web (XY, JH, PSY), pp. 1048–1052.
SIGMOD-2007-HeWYY #graph #keyword #named: BLINKS: ranked keyword searches on graphs (HH, HW, JY, PSY), pp. 305–316.
SIGMOD-2007-LuoTY #adaptation #detection #realtime: Resource-adaptive real-time new event detection (GL, CT, PSY), pp. 497–508.
VLDB-2007-ChenYYHZG #graph #towards: Towards Graph Containment Search and Indexing (CC, XY, PSY, JH, DQZ, XG), pp. 926–937.
VLDB-2007-GedikBY #named #performance #sorting: CellSort: High Performance Sorting on the Cell Processor (BG, RB, PSY), pp. 1286–1207.
VLDB-2007-GedikYB: Executing Stream Joins on the Cell Processor (BG, PSY, RB), pp. 363–374.
VLDB-2007-PapadimitriouLKY #privacy: Time Series Compressibility and Privacy (SP, FL, GK, PSY), pp. 459–470.
VLDB-2007-WuYGHABFGGLW #challenge #experience #monitoring #multi #prototype: Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S (KLW, PSY, BG, KH, CCA, EB, WF, DG, XG, GL, HW), pp. 1185–1196.
VLDB-2007-ZhaoYY #graph: Graph Indexing: Tree + Delta >= Graph (PZ, JXY, PSY), pp. 938–949.
CIKM-2006-HristidisVVY #keyword #multi: Continuous keyword search on multiple text streams (VH, OV, MV, PSY), pp. 802–803.
ICML-2006-LongZWY #clustering #multi #relational: Spectral clustering for multi-type relational data (BL, Z(Z, XW, PSY), pp. 585–592.
KDD-2006-AnagnostopoulosVHKY #segmentation: Global distance-based segmentation of trajectories (AA, MV, MH, EJK, PSY), pp. 34–43.
KDD-2006-FanMY #framework #performance #random #summary: A general framework for accurate and fast regression by data summarization in random decision trees (WF, JM, PSY), pp. 136–146.
KDD-2006-LiuCHY #analysis #dependence #detection #graph #named: GPLAG: detection of software plagiarism by program dependence graph analysis (CL, CC, JH, PSY), pp. 872–881.
KDD-2006-LongWZY #graph #learning: Unsupervised learning on k-partite graphs (BL, XW, Z(Z, PSY), pp. 317–326.
KDD-2006-WangYPYY #concept #data type #mining: Suppressing model overfitting in mining concept-drifting data streams (HW, JY, JP, PSY, JXY), pp. 736–741.
SAC-2006-GaberY #approach #clustering #data type #framework #information management #resource management: A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering (MMG, PSY), pp. 649–656.
SIGMOD-2006-PapadimitriouY #multi: Optimal multi-scale patterns in time series streams (SP, PSY), pp. 647–658.
VLDB-2006-YinHY #clustering #named #performance #semantics: LinkClus: Efficient Clustering via Heterogeneous Semantic Links (XY, JH, PSY), pp. 427–438.
CIKM-2005-GedikWYL #adaptation: Adaptive load shedding for windowed stream joins (BG, KLW, PSY, LL), pp. 171–178.
CIKM-2005-HeWYY #reachability: Compact reachability labeling for graph-structured data (HH, HW, JY, PSY), pp. 594–601.
CIKM-2005-HsiehCY #approximate: Integrating DCT and DWT for approximating cube streams (MJH, MSC, PSY), pp. 179–186.
CIKM-2005-VlachosVYA #invariant: Rotation invariant indexing of shapes and line drawings (MV, ZV, PSY, VA), pp. 131–138.
KDD-2005-LongZY #clustering #composition: Co-clustering by block value decomposition (BL, Z(Z, PSY), pp. 635–640.
KDD-2005-WangPY #array #similarity: Pattern-based similarity search for microarray data (HW, JP, PSY), pp. 814–819.
KDD-2005-YinHY #clustering: Cross-relational clustering with user’s guidance (XY, JH, PSY), pp. 344–353.
SIGMOD-2005-YanYH #database #graph #similarity: Substructure Similarity Search in Graph Databases (XY, PSY, JH), pp. 766–777.
VLDB-2005-ChiWY #data type #mining #named: Loadstar: Load Shedding in Data Stream Mining (YC, HW, PSY), pp. 1303–1305.
VLDB-2005-FungYYL #detection #parametricity: Parameter Free Bursty Events Detection in Text Streams (GPCF, JXY, PSY, HL), pp. 181–192.
CIKM-2004-GedikWYL #adaptation #query: Motion adaptive indexing for moving continual queries over moving objects (BG, KLW, PSY, LL), pp. 427–436.
CIKM-2004-WuCY #performance #query: Interval query indexing for efficient stream processing (KLW, SKC, PSY), pp. 88–97.
KDD-2004-AggarwalHWY #classification #data type #on the: On demand classification of data streams (CCA, JH, JW, PSY), pp. 503–508.
SAC-2004-WuCY #performance: VCR indexing for fast event matching for highly-overlapping range predicates (KLW, SKC, PSY), pp. 740–747.
SIGMOD-2004-YanYH #approach #graph: Graph Indexing: A Frequent Structure-based Approach (XY, PSY, JH), pp. 335–346.
VLDB-2004-AggarwalHWY #clustering #data type #framework: A Framework for Projected Clustering of High Dimensional Data Streams (CCA, JH, JW, PSY), pp. 852–863.
KDD-2003-WangFYH #classification #concept #data type #mining #using: Mining concept-drifting data streams using ensemble classifiers (HW, WF, PSY, JH), pp. 226–235.
KDD-2003-ZhangSY #data mining #mining: Applying data mining in investigating money laundering crimes (Z(Z, JJS, PSY), pp. 747–752.
SIGMOD-2003-WangPFY #named #query #xml: ViST: A Dynamic Index Method for Querying XML Data by Tree Structures (HW, SP, WF, PSY), pp. 110–121.
VLDB-2003-AggarwalHWY #clustering #data type #evolution #framework: A Framework for Clustering Evolving Data Streams (CCA, JH, JW, PSY), pp. 81–92.
VLDB-2003-TengCY #data type #mining: A Regression-Based Temporal Pattern Mining Scheme for Data Streams (WGT, MSC, PSY), pp. 93–104.
CIKM-2002-WuY #adaptation #monitoring #multi #performance #query #using: Efficient query monitoring using adaptive multiple key hashing (KLW, PSY), pp. 477–484.
ICML-2002-LiuLYL #classification #documentation: Partially Supervised Classification of Text Documents (BL, WSL, PSY, XL), pp. 387–394.
KDD-2002-LinLCY #data mining #database #distributed #mining #transaction: Distributed data mining in a chain store database of short transactions (CRL, CHL, MSC, PSY), pp. 576–581.
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.
VLDB-2002-AggarwalY #automation #personalisation #web: An Automated System for Web Portal Personalization (CCA, PSY), pp. 1031–1040.
CIKM-2001-KimAY #effectiveness #metric #nearest neighbour: Effective Nearest Neighbor Indexing with the Euclidean Metric (SWK, CCA, PSY), pp. 9–16.
KDD-2001-LiuMY #web: Discovering unexpected information from your competitors’ web sites (BL, YM, PSY), pp. 144–153.
KDD-2001-YangWY #mining #named: Infominer: mining surprising periodic patterns (JY, WW, PSY), pp. 395–400.
CIKM-2000-LiuXY #clustering: Clustering Through Decision Tree Construction (BL, YX, PSY), pp. 20–29.
CIKM-2000-YuCH #collaboration #distributed #web: Collaborative Proxy System for Distributed Web Content Transcoding (PSY, VC, YWH), pp. 520–527.
KDD-2000-AggarwalY #similarity: The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space (CCA, PSY), pp. 119–129.
KDD-2000-MaLWYL #data mining #mining #student #using: Targeting the right students using data mining (YM, BL, CKW, PSY, SML), pp. 457–464.
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.
SIGMOD-2000-AggarwalY #clustering: Finding Generalized Projected Clusters In High Dimensional Spaces (CCA, PSY), pp. 70–81.
CIKM-1999-WuY #replication #web: Local Replication for Proxy Web Caches with Hash Routing (KLW, PSY), pp. 69–76.
KDD-1999-AggarwalGY #categorisation #clustering #on the: On the Merits of Building Categorization Systems by Supervised Clustering (CCA, SCG, PSY), pp. 352–356.
KDD-1999-AggarwalWWY #approach #collaboration #graph: Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering (CCA, JLW, KLW, PSY), pp. 201–212.
KDD-1999-HuangY #adaptation #query: Adaptive Query Processing for Time-Series Data (YWH, PSY), pp. 282–286.
SIGMOD-1999-AggarwalPWYP #algorithm #clustering #performance: Fast Algorithms for Projected Clustering (CCA, CMP, JLW, PSY, JSP), pp. 61–72.
SIGMOD-1999-AggarwalWY #similarity: A New Method for Similarity Indexing of Market Basket Data (CCA, JLW, PSY), pp. 407–418.
CIKM-1998-AggarwalSY #algorithm #online: Online Algorithms for Finding Profile Association Rules (CCA, ZS, PSY), pp. 86–95.
CIKM-1998-LiYC #abstraction #database #framework #mining #multi #named #sequence: MALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels (CSL, PSY, VC), pp. 267–272.
KDD-1998-AggarwalSY #generative #online: Online Generation of Profile Association Rules (CCA, ZS, PSY), pp. 129–133.
PODS-1998-AggarwalY #framework #generative: A New Framework For Itemset Generation (CCA, PSY), pp. 18–24.
CIKM-1997-AggarwalY #on the #web: On Disk Caching of Web Objects in Proxy Servers (CCA, PSY), pp. 238–245.
CIKM-1997-ParkYC #mining: Mining Association Rules with Adjustable Accuracy (JSP, PSY, MSC), pp. 151–160.
CIKM-1995-ParkCY #data mining #mining #parallel #performance: Efficient Parallel and Data Mining for Association Rules (JSP, MSC, PSY), pp. 31–36.
SIGMOD-1995-ParkCY #algorithm #effectiveness #mining: An Effective Hash Based Algorithm for Mining Association Rules (JSP, MSC, PSY), pp. 175–186.
VLDB-1995-WuYCT #concurrent #database #multi #performance: A Performance Study of Workfile Disk Management for Concurrent Mergesorts in a Multiprocessor Database System (KLW, PSY, JYC, JZT), pp. 100–109.
CIKM-1994-PuTWY #multi: Multiversion Divergence Control of Time Fuzziness (CP, MKT, KLW, PSY), pp. 195–202.
SIGMOD-1994-HsiaoCY #execution #on the #parallel #pipes and filters: On Parallel Execution of Multiple Pipelined Hash Joins (HIH, MSC, PSY), pp. 185–196.
VLDB-1994-ChawatheCY #on the: On Index Selection Schemes for Nested Object Hierarchies (SSC, MSC, PSY), pp. 331–341.
SIGMOD-1993-LoCRY #on the #pipes and filters: On Optimal Processor Allocation to Support Pipelined Hash Joins (MLL, MSC, CVR, PSY), pp. 69–78.
VLDB-1993-VhanHY #execution: Applying Hash Filters to Improving the Execution of Bushy Trees (MSC, HIH, PSY), pp. 505–516.
HPDC-1992-PuFSWY #comparison #distributed #performance #policy: Performance Comparison of Active-Sender and Active-Receiver Policies for Distributed Caching (CP, DF, PS, KLW, PSY), pp. 218–227.
SIGMOD-1992-DanY #analysis #performance #policy: Performance Analysis of Coherency Control Policies through Lock Retention (AD, PSY), pp. 114–123.
VLDB-1992-ChenLYY #execution #pipes and filters #using: Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins (MSC, MLL, PSY, HCY), pp. 15–26.
VLDB-1990-DanDY #data access: The Effect of Skewed Data Access on Buffer Hits and Data Contention an a Data Sharing Environment (AD, DMD, PSY), pp. 419–431.
VLDB-1989-CornellY #database #integration #optimisation #query #relational: Integration of Buffer Management and Query Optimization in Relational Database Environment (DWC, PSY), pp. 247–255.
DAC-1987-YuKL #adaptation #optimisation #testing #using: VLSI Circuit Testing Using an Adaptive Optimization Model (PSY, CMK, YHL), pp. 399–406.
VLDB-1987-DiasIRY #analysis #design: Design and Analysis of Integrated Concurrency-Coherence Controls (DMD, BRI, JTR, PSY), pp. 463–471.
VLDB-1986-YuCDI #multi #on the: On Affinity Based Routing in Multi-System Data Sharing (PSY, DWC, DMD, BRI), pp. 249–256.
ASE-2018-WanZYXY0Y #automation #learning #source code #summary: Improving automatic source code summarization via deep reinforcement learning (YW, ZZ, MY0, GX, HY, JW0, PSY), pp. 397–407.
ASE-2019-WanSSXZ0Y #learning #multi #network #retrieval #semantics #source code: Multi-modal Attention Network Learning for Semantic Source Code Retrieval (YW, JS, YS, GX, ZZ, JW0, PSY), pp. 13–25.