BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Australia
1 × Finland
1 × Japan
1 × Spain
1 × Sweden
1 × The Netherlands
1 × Turkey
2 × China
7 × USA
Collaborated with:
J.Hu C.Zhang P.Cui W.Zhu S.Yang X.Wang J.Zhou J.Sun B.Zhao F.Shang L.C.Jiao T.Li M.Ou S.Chen T.Rompf M.Jiang T.F.Syeda-Mahmood D.Beymer Q.Yang J.Ye J.Wang Z.Sun D.Sontag T.Wang D.Wang D.Zhang L.Si C.Liu H.Xiong Y.Liu Y.Song P.Zhang B.Qian I.Davidson N.Lee S.Ebadollahi X.Xu S.Jin L.Yu Z.Lu L.Yuan S.Liu L.Sun R.Liu A.Mahmood R.J.Lundstrom N.Shafee T.Holve M.Yuan K.Deng J.Zeng Y.Li B.Ni X.He W.Dai F.Lin K.Z.Y.Ang B.M.Chen T.H.Lee B.Yang M.Dong X.Dong J.Cui S.K.Phang B.Wang D.Luo S.Zhao M.Yin K.Li K.Peng G.Cai
Talks about:
predict (5) learn (5) data (5) supervis (4) approach (4) semi (4) discoveri (3) electron (3) social (3) record (3)

Person: Fei Wang


Contributed to:

KDD 20152015
ICPR 20142014
KDD 20142014
VLDB 20142014
HCI/DUXU p3 20132013
KDD 20132013
CIKM 20122012
ICPR 20122012
KDD 20122012
SIGIR 20112011
ICPR 20102010
ICDAR 20092009
CIKM 20082008
ICML 20082008
KDD 20082008
SIGIR 20072007
ICML 20062006
ECOOP 20172017

Wrote 32 papers:

KDD-2015-LiuWHX #framework #graph #health
Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework (CL, FW, JH, HX), pp. 705–714.
KDD-2015-OuCWW0 #component #similarity #transitive
Non-transitive Hashing with Latent Similarity Components (MO, PC, FW, JW, WZ), pp. 895–904.
KDD-2015-SunWH #approach #named #predict #risk management
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management (ZS, FW, JH), pp. 1145–1154.
ICPR-2014-WangWH #framework #learning #multi #predict #risk management
A Multi-task Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery (XW, FW, JH), pp. 220–225.
ICPR-2014-WangZH #approach #data-driven #health #named
DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records (FW, JZ, JH), pp. 2763–2768.
KDD-2014-JiangCWXZY #analysis #behaviour #flexibility #multi #named
FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery (MJ, PC, FW, XX, WZ, SY), pp. 1186–1195.
KDD-2014-WangSW #learning #modelling
Unsupervised learning of disease progression models (XW, DS, FW), pp. 85–94.
Quantifying herding effects in crowd wisdom (TW, DW, FW), pp. 1087–1096.
KDD-2014-WangZQWD #multi #predict #risk management
Clinical risk prediction with multilinear sparse logistic regression (FW, PZ, BQ, XW, ID), pp. 145–154.
KDD-2014-ZhouWHY #data-driven #metaprogramming
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records (JZ, FW, JH, JY), pp. 135–144.
VLDB-2014-YuanDZLNHWDY #distributed #mobile #named #scalability
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data (MY, KD, JZ, YL, BN, XH, FW, WD, QY), pp. 1561–1564.
Development of an Unconventional Unmanned Coaxial Rotorcraft: GremLion (FL, KZYA, FW, BMC, THL, BY, MD, XD, JC, SKP, BW, DL, SZ, MY, KL, KP, GC), pp. 120–129.
KDD-2013-CuiJYWZY #approach #data-driven #network #predict
Cascading outbreak prediction in networks: a data-driven approach (PC, SJ, LY, FW, WZ, SY), pp. 901–909.
KDD-2013-OuCWWZY #scalability
Comparing apples to oranges: a scalable solution with heterogeneous hashing (MO, PC, FW, JW, WZ, SY), pp. 230–238.
KDD-2013-ZhouLSYWY #identification #named
FeaFiner: biomarker identification from medical data through feature generalization and selection (JZ, ZL, JS, LY, FW, JY), pp. 1034–1042.
CIKM-2012-JiangCLYWZY #recommendation #social
Social contextual recommendation (MJ, PC, RL, QY, FW, WZ, SY), pp. 45–54.
CIKM-2012-JiangCWYZY #multi #recommendation #relational #social
Social recommendation across multiple relational domains (MJ, PC, FW, QY, WZ, SY), pp. 1422–1431.
CIKM-2012-ShangJLW #learning
Learning spectral embedding via iterative eigenvalue thresholding (FS, LCJ, YL, FW), pp. 1507–1511.
ICPR-2012-0001HS #feedback #similarity
Medical prognosis based on patient similarity and expert feedback (FW, JH, JS), pp. 1799–1802.
KDD-2012-0001LHSE #approach #towards
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach (FW, NL, JH, JS, SE), pp. 453–461.
KDD-2012-ShangJW #learning
Semi-supervised learning with mixed knowledge information (FS, LCJ, FW), pp. 732–740.
SIGIR-2011-CuiWLOYS #predict #ranking #social #what
Who should share what?: item-level social influence prediction for users and posts ranking (PC, FW, SL, MO, SY, LS), pp. 185–194.
SIGIR-2011-ZhangWS #multi
Composite hashing with multiple information sources (DZ, FW, LS), pp. 225–234.
ICPR-2010-Syeda-MahmoodBWMLSH #automation
Automatic Selection of Keyframes from Angiogram Videos (TFSM, DB, FW, AM, RJL, NS, TH), pp. 4008–4011.
ICDAR-2009-WangSB #documentation #information management #multimodal
Information Extraction from Multimodal ECG Documents (FW, TFSM, DB), pp. 381–385.
CIKM-2008-ChenWSZ #ranking
Semi-supervised ranking aggregation (SC, FW, YS, CZ), pp. 1427–1428.
CIKM-2008-WangCZL #constraints #learning #metric
Semi-supervised metric learning by maximizing constraint margin (FW, SC, CZ, TL), pp. 1457–1458.
ICML-2008-ZhaoWZ #clustering #multi #performance
Efficient multiclass maximum margin clustering (BZ, FW, CZ), pp. 1248–1255.
KDD-2008-ZhaoWZ #algorithm #named #performance #virtual machine
Cuts3vm: a fast semi-supervised svm algorithm (BZ, FW, CZ), pp. 830–838.
SIGIR-2007-WangZL #clustering #documentation
Regularized clustering for documents (FW, CZ, TL), pp. 95–102.
ICML-2006-WangZ #linear
Label propagation through linear neighborhoods (FW, CZ), pp. 985–992.
ECOOP-2017-WangR #normalisation #towards
Towards Strong Normalization for Dependent Object Types (DOT) (FW, TR), p. 25.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.