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Travelled to:
1 × Brazil
1 × China
1 × Finland
1 × Israel
1 × Singapore
1 × Spain
18 × USA
2 × Australia
2 × Germany
2 × United Kingdom
3 × Canada
Collaborated with:
Z.Chen Y.Yu N.N.Liu G.Xue D.Shen W.Dai J.Sun E.Zhong B.Cao M.Zhao H.Zeng Y.Song E.W.Xiang H.Wang H.Zha S.G.Woods B.Tan F.Wang Y.Zhu W.Chen O.Jin B.Zhang W.Ma K.Zhang M.Yuan J.Zeng H.Cao E.Chen K.Mo B.Li X.Xue H.H.Zhang I.T.Y.Li A.Quilici S.Woods S.J.Pan V.W.Zheng M.Jiang P.Cui W.Zhu S.Yang D.H.Hu Y.Lu T.Chen H.Li Z.Lu C.W.Leung W.Fan Y.Zhang D.Wang X.Meng C.Liu H.Qin D.Xing C.X.Ling J.Wang S.Zhang H.Li W.Xi J.Yan S.Yan K.Deng Y.Li B.Ni J.Fu R.Poss C.R.Jesshope C.Zhang C.Liu H.Xiong G.Jiang Y.Wei Y.Zhen B.Liu B.Wu A.Horner K.Zhao T.Bao J.Tian X.Ling X.Wang M.Zhou Q.Wang J.T.Kwok I.Marsic R.Hu P.Bai Y.Lu R.Liu J.Wu Y.Li D.Jiang J.Hu L.Fang Y.Cao R.Pan J.Zhao J.J.Pan C.Lin X.Hu J.Yao Y.Deng L.Chen H.Guan N.Liu F.Bai Y.Huang F.Zhu X.He W.Fan Q.Cheng L.Wang J.Zhan C.Luo Y.Zhu Y.He W.Gao Z.Jia Y.Shi S.Zhang C.Zheng G.Lu K.Zhan X.Li B.Qiu
Talks about:
classif (10) data (9) transfer (8) model (8) learn (8) text (8) collabor (7) filter (6) domain (6) web (6)

Person: Qiang Yang

DBLP DBLP: Yang:Qiang

Facilitated 3 volumes:

RecSys 2013Ed
KDD 2012Ed
KDD 2010Ed

Contributed to:

KDD 20152015
SIGMOD 20152015
VLDB 20152015
DATE 20142014
HPCA 20142014
KDD 20142014
VLDB 20142014
CIKM 20132013
ICML c1 20132013
ICML c3 20132013
KDD 20132013
CIKM 20122012
CIKM 20112011
KDD 20112011
RecSys 20112011
CIKM 20102010
ICML 20102010
RecSys 20102010
CIKM 20092009
ICML 20092009
SIGIR 20092009
ICML 20082008
KDD 20082008
SIGIR 20082008
ICML 20072007
KDD 20072007
CIKM 20062006
SIGIR 20062006
SIGIR 20052005
CIKM 20042004
ICML 20042004
KDD 20042004
SIGIR 20042004
KDD 20012001
ICSE 19961996
KBSE 19961996

Wrote 56 papers:

KDD-2015-TanSZ0 #learning #transitive
Transitive Transfer Learning (BT, YS, EZ, QY), pp. 1155–1164.
SIGMOD-2015-HuangZYDLND0Z #big data #predict
Telco Churn Prediction with Big Data (YH, FZ, MY, KD, YL, BN, WD, QY, JZ), pp. 607–618.
VLDB-2015-HuYYDCYGZ #big data #difference #framework #platform #privacy
Differential Privacy in Telco Big Data Platform (XH, MY, JY, YD, LC, QY, HG, JZ), pp. 1692–1703.
DATE-2014-Fu0PJZ #data flow #detection #fault #parallel #thread
A fault detection mechanism in a Data-flow scheduled Multithreaded processor (JF, QY, RP, CRJ, CZ), pp. 1–4.
HPCA-2014-WangZLZYHGJSZZLZLQ #benchmark #big data #internet #metric #named
BigDataBench: A big data benchmark suite from internet services (LW, JZ, CL, YZ, QY, YH, WG, ZJ, YS, SZ, CZ, GL, KZ, XL, BQ), pp. 488–499.
KDD-2014-LiuZXJ0 #categorisation #visualisation
Temporal skeletonization on sequential data: patterns, categorization, and visualization (CL, KZ, HX, GJ, QY), pp. 1336–1345.
KDD-2014-WeiSZL0 #scalability
Scalable heterogeneous translated hashing (YW, YS, YZ, BL, QY), pp. 791–800.
KDD-2014-WuZTH0 #crowdsourcing #modelling #personalisation #topic #using #video
Crowdsourced time-sync video tagging using temporal and personalized topic modeling (BW, EZ, BT, AH, QY), pp. 721–730.
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.
CIKM-2013-ZhuZPWZY #network #predict #process #social
Predicting user activity level in social networks (YZ, EZ, SJP, XW, MZ, QY), pp. 159–168.
ICML-c1-2013-ChenLYY #functional #matrix #using
General Functional Matrix Factorization Using Gradient Boosting (TC, HL, QY, YY), pp. 436–444.
ICML-c3-2013-ZhangZWKYM #kernel
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels (KZ, VWZ, QW, JTYK, QY, IM), pp. 388–395.
KDD-2013-MoZY #crowdsourcing
Cross-task crowdsourcing (KM, EZ, QY), pp. 677–685.
KDD-2013-SongLLY #classification #collaboration #microblog #process
Collaborative boosting for activity classification in microblogs (YS, ZL, CWkL, QY), pp. 482–490.
KDD-2013-ZhongFZY #modelling #network #social
Modeling the dynamics of composite social networks (EZ, WF, YZ, QY), pp. 937–945.
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-2011-JinLZYY #clustering #topic
Transferring topical knowledge from auxiliary long texts for short text clustering (OJ, NNL, KZ, YY, QY), pp. 775–784.
KDD-2011-ZhangCWY #behaviour #comprehension #modelling #predict
User-click modeling for understanding and predicting search-behavior (YZ, WC, DW, QY), pp. 1388–1396.
RecSys-2011-LiuMLY #elicitation #rating #recommendation
Wisdom of the better few: cold start recommendation via representative based rating elicitation (NNL, XM, CL, QY), pp. 37–44.
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-LiuXZY #collaboration #feedback
Unifying explicit and implicit feedback for collaborative filtering (NNL, EWX, MZ, QY), pp. 1445–1448.
ICML-2010-CaoLY #learning #multi #predict
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains (BC, NNL, QY), pp. 159–166.
RecSys-2010-LiuZXY #collaboration #online
Online evolutionary collaborative filtering (NNL, MZ, EWX, QY), pp. 95–102.
CIKM-2009-CaoSXHYC #classification #named #personalisation #query
PQC: personalized query classification (BC, JTS, EWX, DHH, QY, ZC), pp. 1217–1226.
CIKM-2009-LiuZY #analysis #collaboration #probability
Probabilistic latent preference analysis for collaborative filtering (NNL, MZ, QY), pp. 759–766.
CIKM-2009-ShenWCSYCL #classification
Exploiting term relationship to boost text classification (DS, JW, BC, JTS, QY, ZC, YL), pp. 1637–1640.
ICML-2009-DaiJXYY #framework #learning #named
EigenTransfer: a unified framework for transfer learning (WD, OJ, GRX, QY, YY), pp. 193–200.
ICML-2009-LiYX #collaboration #generative #learning
Transfer learning for collaborative filtering via a rating-matrix generative model (BL, QY, XX), pp. 617–624.
SIGIR-2009-CaoHSJSCY #classification #query
Context-aware query classification (HC, DHH, DS, DJ, JTS, EC, QY), pp. 3–10.
ICML-2008-DaiYXY #clustering #self
Self-taught clustering (WD, QY, GRX, YY), pp. 200–207.
ICML-2008-WangYQZ #analysis #component #composition #feature model
Dirichlet component analysis: feature extraction for compositional data (HYW, QY, HQ, HZ), pp. 1128–1135.
ICML-2008-WangYZ #adaptation #kernel #learning #multi
Adaptive p-posterior mixture-model kernels for multiple instance learning (HYW, QY, HZ), pp. 1136–1143.
KDD-2008-LingDXYY #learning
Spectral domain-transfer learning (XL, WD, GRX, QY, YY), pp. 488–496.
SIGIR-2008-HuCBLCY #mining #query #web
Web query translation via web log mining (RH, WC, PB, YL, ZC, QY), pp. 749–750.
SIGIR-2008-HuFCZLYC #clustering #semantics #wiki
Enhancing text clustering by leveraging Wikipedia semantics (JH, LF, YC, HJZ, HL, QY, ZC), pp. 179–186.
SIGIR-2008-LiuY #approach #collaboration #named
EigenRank: a ranking-oriented approach to collaborative filtering (NNL, QY), pp. 83–90.
SIGIR-2008-XueDYY #classification #topic
Topic-bridged PLSA for cross-domain text classification (GRX, WD, QY, YY), pp. 627–634.
SIGIR-2008-XueXYY #classification #scalability
Deep classification in large-scale text hierarchies (GRX, DX, QY, YY), pp. 619–626.
ICML-2007-CaoSSYC #feature model #kernel
Feature selection in a kernel space (BC, DS, JTS, QY, ZC), pp. 121–128.
ICML-2007-DaiYXY #learning
Boosting for transfer learning (WD, QY, GRX, YY), pp. 193–200.
KDD-2007-DaiXYY #classification #clustering #documentation
Co-clustering based classification for out-of-domain documents (WD, GRX, QY, YY), pp. 210–219.
KDD-2007-PanZZPSPY #mining #modelling #network
Domain-constrained semi-supervised mining of tracking models in sensor networks (RP, JZ, VWZ, JJP, DS, SJP, QY), pp. 1023–1027.
CIKM-2006-ShenSYC #classification #modelling #multi
Text classification improved through multigram models (DS, JTS, QY, ZC), pp. 672–681.
SIGIR-2006-ShenSYC #classification #query #web
Building bridges for web query classification (DS, JTS, QY, ZC), pp. 131–138.
SIGIR-2006-ShenYSC #concurrent #detection #thread
Thread detection in dynamic text message streams (DS, QY, JTS, ZC), pp. 35–42.
SIGIR-2005-SunSZYLC #summary #using
Web-page summarization using clickthrough data (JTS, DS, HJZ, QY, YL, ZC), pp. 194–201.
SIGIR-2005-XueLYXZYC #clustering #collaboration #scalability #using
Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
SIGIR-2005-XueYZYC #analysis
Exploiting the hierarchical structure for link analysis (GRX, QY, HJZ, YY, ZC), pp. 186–193.
CIKM-2004-LiuZYYYCBM #learning #metric #similarity
Learning similarity measures in non-orthogonal space (NL, BZ, JY, QY, SY, ZC, FB, WYM), pp. 334–341.
ICML-2004-LingYWZ #low cost
Decision trees with minimal costs (CXL, QY, JW, SZ).
KDD-2004-YanZYYLCXFMC #incremental #named
IMMC: incremental maximum margin criterion (JY, BZ, SY, QY, HL, ZC, WX, WF, WYM, QC), pp. 725–730.
SIGIR-2004-ShenCYZZLM #classification #summary
Web-page classification through summarization (DS, ZC, QY, HJZ, BZ, YL, WYM), pp. 242–249.
KDD-2001-YangZL #mining #modelling #predict #web
Mining web logs for prediction models in WWW caching and prefetching (QY, HHZ, ITYL), pp. 473–478.
ICSE-1996-WoodsY #analysis #approach #comprehension #heuristic #problem
The Program Understanding Problem: Analysis and a Heuristic Approach (SGW, QY), pp. 6–15.
KBSE-1996-QuiliciYW #algorithm #comprehension #recognition
Applying Plan Recognition Algorithms to Program Understanding (AQ, QY, SW), p. 15.

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.