Travelled to:
1 × Canada
1 × France
1 × Portugal
1 × United Kingdom
10 × USA
2 × Australia
5 × China
Collaborated with:
J.Li J.Sun S.Wu Y.Yang Y.Zhang Z.Yang J.Zhang Z.Yang Y.Ding Y.Han L.Zhang Z.Su J.Li Y.Dong N.V.Chawla R.Yan X.Li C.Wang D.Zhang L.Liu C.Tan J.Han B.Gao J.Tang H.Liu J.E.Hopcroft T.Lou R.W.White P.Bailey L.Shi Y.Zhao K.Cai J.Guo D.Li B.Ma B.Wang M.Zhang X.Zhang X.Xue H.Su Y.Wan Y.Miao C.Li L.Zhao X.Xin Q.Luo K.Wang H.Li Y.Cao Z.Tang D.Liu Y.Zhao B.Wang Y.Sun J.Pei P.S.Yu Z.Li S.Wen P.Zhang X.Liu D.Shan Y.Cai H.Leung Q.Li M.Jiang S.Yang Q.Lin F.Wang C.Huang Y.Zhang Z.Fang C.Ma H.Tong Y.Jing Y.Cheng A.Agrawal W.Liao A.N.Choudhary X.Shuai G.Sun Z.Luo L.Lee L.Jiang M.Zhou P.Li W.Fan S.Chen Y.Liu L.Yao J.Liu X.Yan L.Dong T.Zeng Y.Jia Y.Yu Q.Zhong H.Li G.T.Xie L.Zhou Y.Pan J.Keomany T.Li L.Wang X.Zhou W.Shao A.C.M.Fong L.Sun L.Zhou J.Luo B.He C.R.Sugimoto Z.Qin E.Yan T.Dong P.Hu X.Yan M.Huang P.Xu W.Li A.K.Usadi J.Wang W.Chen H.Zhuang X.Li
Talks about:
network (17) social (16) topic (7) mine (7) recommend (5) heterogen (5) model (5) influenc (4) level (4) learn (4)
Person: Jie Tang
DBLP: Tang:Jie
Contributed to:
Wrote 41 papers:
- KDD-2015-DongZTCW #named #network #predict
- CoupledLP: Link Prediction in Coupled Networks (YD, JZ, JT, NVC, BW), pp. 199–208.
- KDD-2015-HanT #community #network #probability #social
- Probabilistic Community and Role Model for Social Networks (YH, JT), pp. 407–416.
- KDD-2015-YangSTML
- Entity Matching across Heterogeneous Sources (YY, YS, JT, BM, JZL), pp. 1395–1404.
- KDD-2015-ZhangTMTJL #named #network #performance #scalability #similarity
- Panther: Fast Top-k Similarity Search on Large Networks (JZ, JT, CM, HT, YJ, JL), pp. 1445–1454.
- 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.
- CIKM-2014-FangZTSFSDZL #behaviour #game studies #modelling #network #social
- Modeling Paying Behavior in Game Social Networks (ZF, XZ, JT, WS, ACMF, LS, YD, LZ, JL), pp. 411–420.
- CIKM-2014-LiuLYDZZT #named #people
- AMiner-mini: A People Search Engine for University (JL, DL, XY, LD, TZ, YZ, JT), pp. 2069–2071.
- CIKM-2014-YangTZ #learning #streaming
- Active Learning for Streaming Networked Data (ZY, JT, YZ), pp. 1129–1138.
- ICML-c1-2014-LiWLZT #dependence #modelling #on the #topic
- On Modelling Non-linear Topical Dependencies (ZL, SW, JL, PZ, JT), pp. 458–466.
- KDD-2014-DongYTYC #mobile #network #social
- Inferring user demographics and social strategies in mobile social networks (YD, YY, JT, YY, NVC), pp. 15–24.
- KDD-2014-TangTL #future of #recommendation #social #social media
- Recommendation in social media: recent advances and new frontiers (JT, JT, HL), p. 1977.
- SIGIR-2014-ZhangTZX #algorithm #recommendation
- Addressing cold start in recommender systems: a semi-supervised co-training algorithm (MZ, JT, XZ, XX), pp. 73–82.
- CIKM-2013-LiuTCALC #mining
- Mining diabetes complication and treatment patterns for clinical decision support (LL, JT, YC, AA, WkL, ANC), pp. 279–288.
- KDD-2013-TangWS #confluence #named #network #scalability #social
- Confluence: conformity influence in large social networks (JT, SW, JS), pp. 347–355.
- KDD-2013-YangWZCZZYMFWLLT #named #network #scalability #social
- SAE: social analytic engine for large networks (YY, JW, YZ, WC, JZ, HZ, ZY, BM, ZF, SW, XL, DL, JT), pp. 1502–1505.
- CIKM-2012-LiSSTDL #microblog #mining #topic
- Mining topic-level opinion influence in microblog (DL, XS, GS, JT, YD, ZL), pp. 1562–1566.
- CIKM-2012-YangTKZLDLW #learning #mining #network
- Mining competitive relationships by learning across heterogeneous networks (YY, JT, JK, YZ, JL, YD, TL, LW), pp. 1432–1441.
- KDD-2012-TangWSS #collaboration #recommendation
- Cross-domain collaboration recommendation (JT, SW, JS, HS), pp. 1285–1293.
- KDD-2012-TangWYHZYGHXLU #analysis #mining #named #topic
- PatentMiner: topic-driven patent analysis and mining (JT, BW, YY, PH, YZ, XY, BG, MH, PX, WL, AKU), pp. 1366–1374.
- CIKM-2011-HopcroftLT #predict
- Who will follow you back?: reciprocal relationship prediction (JEH, TL, JT), pp. 1137–1146.
- CIKM-2011-YanTLSL #learning #predict
- Citation count prediction: learning to estimate future citations for literature (RY, JT, XL, DS, XL), pp. 1247–1252.
- KDD-2011-TanLTJZL #analysis #network #sentiment #social
- User-level sentiment analysis incorporating social networks (CT, LL, JT, LJ, MZ, PL), pp. 1397–1405.
- KDD-2011-TangWGW #network #social #topic
- Topic-level social network search (JT, SW, BG, YW), pp. 769–772.
- SIGIR-2011-TangWB #recommendation
- Recommending interesting activity-related local entities (JT, RWW, PB), pp. 1161–1162.
- SIGIR-2011-YangCTZSL #social #summary
- Social context summarization (ZY, KC, JT, LZ, ZS, JL), pp. 255–264.
- CIKM-2010-CaiLLTL #recommendation
- Recommendation based on object typicality (YC, HfL, QL, JT, JL), pp. 1529–1532.
- CIKM-2010-LiHDTSQYLD #modelling #social #topic
- Community-based topic modeling for social tagging (DL, BH, YD, JT, CRS, ZQ, EY, JL, TD), pp. 1565–1568.
- CIKM-2010-LiuTHJY #mining #network #topic
- Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
- CIKM-2010-MiaoLTZ #approach #category theory #community #identification #modelling #topic
- Identifying new categories in community question answering archives: a topic modeling approach (YM, CL, JT, LZ), pp. 1673–1676.
- CIKM-2010-ShiZT #learning
- Combining link and content for collective active learning (LS, YZ, JT), pp. 1829–1832.
- CIKM-2010-YangGCTLZS #behaviour #comprehension #network #social #twitter
- Understanding retweeting behaviors in social networks (ZY, JG, KC, JT, JL, LZ, ZS), pp. 1633–1636.
- KDD-2010-TanTSLW #graph #social
- Social action tracking via noise tolerant time-varying factor graphs (CT, JT, JS, QL, FW), pp. 1049–1058.
- KDD-2010-WangHJTZYG #mining #network #research
- Mining advisor-advisee relationships from research publication networks (CW, JH, YJ, JT, DZ, YY, JG), pp. 203–212.
- CIKM-2009-WangTFCYL #ranking
- Heterogeneous cross domain ranking in latent space (BW, JT, WF, SC, ZY, YL), pp. 987–996.
- KDD-2009-TangSWY #analysis #network #scalability #social
- Social influence analysis in large-scale networks (JT, JS, CW, ZY), pp. 807–816.
- SIGMOD-2009-ZhongLLXTZP #approach #ontology
- A gauss function based approach for unbalanced ontology matching (QZ, HL, JL, GTX, JT, LZ, YP), pp. 669–680.
- CIKM-2008-XinLTL #comprehension #random #using
- Academic conference homepage understanding using constrained hierarchical conditional random fields (XX, JL, JT, QL), pp. 1301–1310.
- KDD-2008-TangZYLZS #mining #named #network #social
- ArnetMiner: extraction and mining of academic social networks (JT, JZ, LY, JL, LZ, ZS), pp. 990–998.
- CIKM-2007-ZhangTLW #ambiguity #constraints #framework #probability
- A constraint-based probabilistic framework for name disambiguation (DZ, JT, JZL, KW), pp. 1019–1022.
- KDD-2005-TangLCT #email
- Email data cleaning (JT, HL, YC, ZT), pp. 489–498.
- JCDL-2012-YanHTZL
- To better stand on the shoulder of giants (RY, CH, JT, YZ, XL), pp. 51–60.