BibSLEIGH — Enhong

Travelled to:

1 × Brazil
1 × Canada
1 × Ireland
1 × Japan
1 × Singapore
1 × Taiwan
1 × United Kingdom
2 × Australia
2 × Switzerland
4 × China
6 × USA

Collaborated with:

H.Xiong H.Cao Q.Liu H.Zhu Y.Ge J.Tian L.Zhang T.Bao C.H.Q.Ding M.Li B.Xiang D.Jiang J.Lv G.Liu Q.Yang F.Ye Q.Li D.Lian L.Xu X.Xie Y.Rui J.Pei H.Li Z.Wang H.Wang M.Zhang C.Dai W.Yang W.Tian C.J.Xue V.C.S.Lee J.Yang X.Quan Q.Luo T.Qian Y.Wang L.L.Zhang C.M.Liang Y.Liu B.Chang C.Tan F.Tang J.X.Yu C.Zhao G.Sun L.Wu X.Sun Y.Wang N.J.Yuan X.Wu L.He C.Cao G.Hu L.Tang P.Luo L.Jiao M.Wang Y.Zheng D.H.Hu D.Shen J.Sun Q.He Z.Liao

Talks about:

mobil (7) recommend (5) awar (5) rank (4) app (4) interest (3) network (3) context (3) adapt (3) data (3)

Person: Enhong Chen

DBLP: Chen:Enhong

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2006

2017

Wrote 27 papers:

KDD-2015-WangYLXXCR #predict #using: Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data (YW, NJY, DL, LX, XX, EC, YR), pp. 1275–1284.
CIKM-2014-ChangZGCXT #modelling #online #predict: Predicting the Popularity of Online Serials with Autoregressive Models (BC, HZ, YG, EC, HX, CT), pp. 1339–1348.
CIKM-2014-LiuXCXTY #approach #bound #linear #network #scalability #social: Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach (QL, BX, EC, HX, FT, JXY), pp. 171–180.
KDD-2014-LianZXSCR #matrix #modelling #named #recommendation: GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation (DL, CZ, XX, GS, EC, YR), pp. 831–840.
KDD-2014-ZhuXGC #mobile #privacy #recommendation #security: Mobile app recommendations with security and privacy awareness (HZ, HX, YG, EC), pp. 951–960.
SIGIR-2014-WangWLC #perspective #re-engineering: Influential nodes selection: a data reconstruction perspective (ZW, HW, QL, EC), pp. 879–882.
CIKM-2013-ZhangDDC #network #probability #social: Probabilistic solutions of influence propagation on social networks (MZ, CD, CHQD, EC), pp. 429–438.
CIKM-2013-ZhuXGC #detection #mobile #perspective #ranking: Ranking fraud detection for mobile apps: a holistic view (HZ, HX, YG, EC), pp. 619–628.
RecSys-2013-WuLCHLCH #online #personalisation #recommendation: Personalized next-song recommendation in online karaokes (XW, QL, EC, LH, JL, CC, GH), pp. 137–140.
CIKM-2012-WuCLXBZ #matrix #probability: Leveraging tagging for neighborhood-aware probabilistic matrix factorization (LW, EC, QL, LX, TB, LZ), pp. 1854–1858.
CIKM-2012-ZhuCCXT #classification #information management #mobile: Exploiting enriched contextual information for mobile app classification (HZ, HC, EC, HX, JT), pp. 1617–1621.
ICPR-2012-YangLZC #image #learning #multi #retrieval: Multi-view learning with batch mode active selection for image retrieval (WY, GL, LZ, EC), pp. 979–982.
KDD-2012-ZhangTLCJWL #web: Harnessing the wisdom of the crowds for accurate web page clipping (LZ, LT, PL, EC, LJ, MW, GL), pp. 570–578.
RecSys-2012-LiuXCGXBZ #recommendation: Influential seed items recommendation (QL, BX, EC, YG, HX, TB, YZ), pp. 245–248.
CIKM-2011-ZhuCXCT #category theory #ranking #towards: Towards expert finding by leveraging relevant categories in authority ranking (HZ, HC, HX, EC, JT), pp. 2221–2224.
SAC-2011-TianXLC #optimisation #order: Loop fusion and reordering for register file optimization on stream processors (WT, CJX, ML, EC), pp. 560–565.
CIKM-2010-CaoBYCT #approach #effectiveness #mining #mobile: An effective approach for mining mobile user habits (HC, TB, QY, EC, JT), pp. 1677–1680.
CIKM-2010-LiuCXD #collaboration #personalisation #ranking: Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
SAC-2010-LvLLC #multi #on-demand #realtime #scheduling: Profit-based on-demand broadcast scheduling of real-time multi-item requests (JL, VCSL, ML, EC), pp. 580–584.
SIGIR-2010-XiangJPSCL #ranking #web: Context-aware ranking in web search (BX, DJ, JP, XS, EC, HL), pp. 451–458.
CIKM-2009-CaoCYX #recommendation: Enhancing recommender systems under volatile userinterest drifts (HC, EC, JY, HX), pp. 1257–1266.
SIGIR-2009-CaoHSJSCY #classification #query: Context-aware query classification (HC, DHH, DS, DJ, JTS, EC, QY), pp. 3–10.
KDD-2008-CaoJPHLCL #mining #query: Context-aware query suggestion by mining click-through and session data (HC, DJ, JP, QH, ZL, EC, HL), pp. 875–883.
SAC-2008-YeLC #adaptation #mobile #network: Adaptive caching with heterogeneous devices in mobile peer to peer network (FY, QL, EC), pp. 1897–1901.
SIGIR-2008-QuanCLX #adaptation #scalability #semantics: Adaptive label-driven scaling for latent semantic indexing (XQ, EC, QL, HX), pp. 827–828.
CIKM-2006-QianXWC #adaptation #categorisation: Adapting association patterns for text categorization: weaknesses and enhancements (TQ, HX, YW, EC), pp. 782–783.
ASE-2017-ZhangLLC #mobile #testing: Systematically testing background services of mobile apps (LLZ, CJML, YL, EC), pp. 4–15.