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Travelled to:
1 × Brazil
1 × Canada
1 × Finland
1 × Germany
1 × Singapore
1 × Spain
1 × Switzerland
1 × The Netherlands
15 × USA
2 × France
2 × Italy
3 × China
Collaborated with:
J.Xu T.Liu D.Jiang J.Pei T.Qin Y.Cao Y.Hu K.Yamanishi G.Xu N.Abe Z.Ma Y.Huang X.Jiang B.Gao Q.Wang J.Guo X.Cheng Z.Qi S.X.Tan N.Craswell Y.Lan X.Geng T.Wang Q.Zheng D.Meyerzon S.Yang X.Liu P.Chen C.Li J.Wen A.Nakamura E.Chen F.Wu T.Chen Q.Yang Y.Yu Z.Cao B.Zhou W.Ni J.Tang Z.Tang W.Wei H.Zheng D.Wang Q.Zhang T.Yang F.Xia J.Wang W.Zhang M.Lu W.Ma L.Zhang Y.Bao Z.Cao M.Tsai Y.Qian B.Xiang X.Sun A.Arnold H.Shum X.Zhang D.Wang W.Lai H.Hon S.Li L.Wu Y.Cai X.Hong H.Cao Q.He Z.Liao Y.Liu Y.Zhang S.He G.Xin R.Song G.Hu S.Shi
Talks about:
rank (16) search (11) learn (10) use (8) approach (7) queri (7) web (7) mine (6) data (6) document (5)

Person: Hang Li

DBLP DBLP: Li:Hang

Contributed to:

CIKM 20142014
ICML c1 20132013
SIGIR 20122012
KDD 20112011
SIGIR 20112011
RecSys 20102010
SIGIR 20102010
CIKM 20092009
ICML 20092009
KDD 20092009
SIGIR 20092009
CIKM 20082008
ICML 20082008
KDD 20082008
SIGIR 20082008
ECIR 20072007
ICML 20072007
SIGIR 20072007
SIGIR 20062006
CIKM 20052005
DAC 20052005
KDD 20052005
SIGIR 20052005
WICSA 20052005
DATE v1 20042004
ICML 20032003
KDD 20012001
CIKM 19991999
ICML 19961996
ICML 19951995
JCDL 20052005

Wrote 44 papers:

CIKM-2014-Wu0LJ #constraints #optimisation #ranking
Ranking Optimization with Constraints (FW, JX, HL, XJ), pp. 1049–1058.
ICML-c1-2013-ChenLYY #functional #matrix #using
General Functional Matrix Factorization Using Gradient Boosting (TC, HL, QY, YY), pp. 436–444.
SIGIR-2012-HuQLJPZ #mining #query #topic
Mining query subtopics from search log data (YH, YnQ, HL, DJ, JP, QZ), pp. 305–314.
SIGIR-2012-LiX #machine learning #web
Beyond bag-of-words: machine learning for query-document matching in web search (HL, JX), p. 1177.
SIGIR-2012-WangCXL #matrix #modelling #scalability #topic
Group matrix factorization for scalable topic modeling (QW, ZC, JX, HL), pp. 375–384.
KDD-2011-GaoLWWL #graph #metadata #ranking #scalability
Semi-supervised ranking on very large graphs with rich metadata (BG, TYL, WW, TW, HL), pp. 96–104.
SIGIR-2011-JiangPL #mining #web
Enhancing web search by mining search and browse logs (DJ, JP, HL), pp. 1295–1296.
SIGIR-2011-WangXLC #semantics
Regularized latent semantic indexing (QW, JX, HL, NC), pp. 685–694.
RecSys-2010-ZhengWZLY #case study #empirical #recommendation #user study
Do clicks measure recommendation relevancy?: an empirical user study (HZ, DW, QZ, HL, TY), pp. 249–252.
SIGIR-2010-JiangPL #challenge #information retrieval #mining #web
Search and browse log mining for web information retrieval: challenges, methods, and applications (DJ, JP, HL), p. 912.
SIGIR-2010-XiangJPSCL #ranking #web
Context-aware ranking in web search (BX, DJ, JP, XS, EC, HL), pp. 451–458.
CIKM-2009-GaoLMWL #framework #markov
A general markov framework for page importance computation (BG, TYL, ZM, TW, HL), pp. 1835–1838.
ICML-2009-LanLML #algorithm #analysis #ranking
Generalization analysis of listwise learning-to-rank algorithms (YL, TYL, ZM, HL), pp. 577–584.
KDD-2009-XuYL #mining #using
Named entity mining from click-through data using weakly supervised latent dirichlet allocation (GX, SHY, HL), pp. 1365–1374.
KDD-2009-ZhouJPL #data-driven #framework
OLAP on search logs: an infrastructure supporting data-driven applications in search engines (BZ, DJ, JP, HL), pp. 1395–1404.
SIGIR-2009-GuoXCL #query #recognition
Named entity recognition in query (JG, GX, XC, HL), pp. 267–274.
SIGIR-2009-JiangHL #approach #ranking
A ranking approach to keyphrase extraction (XJ, YH, HL), pp. 756–757.
CIKM-2008-NiXLH #approach #learning
Group-based learning: a boosting approach (WN, JX, HL, YH), pp. 1443–1444.
ICML-2008-LanLQML #learning #rank
Query-level stability and generalization in learning to rank (YL, TYL, TQ, ZM, HL), pp. 512–519.
ICML-2008-XiaLWZL #algorithm #approach #learning #rank
Listwise approach to learning to rank: theory and algorithm (FX, TYL, JW, WZ, HL), pp. 1192–1199.
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.
SIGIR-2008-GengLQALS #nearest neighbour #query #ranking #using
Query dependent ranking using K-nearest neighbor (XG, TYL, TQ, AA, HL, HYS), pp. 115–122.
SIGIR-2008-GuoXLC #query #refinement
A unified and discriminative model for query refinement (JG, GX, HL, XC), pp. 379–386.
SIGIR-2008-LiuGLZMHL #named #rank #web
BrowseRank: letting web users vote for page importance (YL, BG, TYL, YZ, ZM, SH, HL), pp. 451–458.
SIGIR-2008-XuLLLM #evaluation #learning #metric #optimisation #rank
Directly optimizing evaluation measures in learning to rank (JX, TYL, ML, HL, WYM), pp. 107–114.
ECIR-2007-XuCLCH #documentation
Searching Documents Based on Relevance and Type (JX, YC, HL, NC, YH), pp. 629–636.
ECIR-2007-ZhangQLBL #rank #web
N -Step PageRank for Web Search (LZ, TQ, TYL, YB, HL), pp. 653–660.
ICML-2007-CaoQLTL #approach #learning #rank
Learning to rank: from pairwise approach to listwise approach (ZC, TQ, TYL, MFT, HL), pp. 129–136.
SIGIR-2007-GengLQL #feature model #ranking
Feature selection for ranking (XG, TYL, TQ, HL), pp. 407–414.
SIGIR-2007-QinZWLLL #multi #ranking
Ranking with multiple hyperplanes (TQ, XDZ, DSW, TYL, WL, HL), pp. 279–286.
SIGIR-2007-XuL #algorithm #information retrieval #named
AdaRank: a boosting algorithm for information retrieval (JX, HL), pp. 391–398.
SIGIR-2006-CaoXLLHH #adaptation #documentation #ranking #retrieval
Adapting ranking SVM to document retrieval (YC, JX, TYL, HL, YH, HWH), pp. 186–193.
CIKM-2005-LiCXHLM #approach #information management #intranet
A new approach to intranet search based on information extraction (HL, YC, JX, YH, SL, DM), pp. 460–468.
DAC-2005-LiQTWCH #approach #clustering #performance
Partitioning-based approach to fast on-chip decap budgeting and minimization (HL, ZQ, SXDT, LW, YC, XH), pp. 170–175.
KDD-2005-TangLCT #email
Email data cleaning (JT, HL, YC, ZT), pp. 489–498.
SIGIR-2005-HuXSHSCL #documentation #html #retrieval #web
Title extraction from bodies of HTML documents and its application to web page retrieval (YH, GX, RS, GH, SS, YC, HL), pp. 250–257.
WICSA-2005-LiLC #architecture #reliability
Octopus Architecture: A New Attempt to Achieve Reliable OS (HL, XL, PC), pp. 197–198.
DATE-v1-2004-TanQL #modelling #scalability #simulation
Hierarchical Modeling and Simulation of Large Analog Circuits (SXDT, ZQ, HL), pp. 740–741.
ICML-2003-LiWL #classification #generative #keyword #probability #using
Text Classification Using Stochastic Keyword Generation (CL, JRW, HL), pp. 464–471.
KDD-2001-LiY #mining
Mining from open answers in questionnaire data (HL, KY), pp. 443–449.
CIKM-1999-LiY #classification #probability #using
Text Classification Using ESC-based Stochastic Decision Lists (HL, KY), pp. 122–130.
ICML-1996-AbeL #learning #modelling #using #word
Learning Word Association Norms Using Tree Cut Pair Models (NA, HL), pp. 3–11.
ICML-1995-AbeLN #2d #algorithm #learning #online #using
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms (NA, HL, AN), pp. 3–11.
JCDL-2005-HuLCMZ #automation #documentation #machine learning #using
Automatic extraction of titles from general documents using machine learning (YH, HL, YC, DM, QZ), pp. 145–154.
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.