Travelled to:1 × Chile
1 × Croatia
1 × Germany
1 × Italy
1 × Japan
1 × Singapore
1 × The Netherlands
2 × China
6 × USA
Collaborated with:H.Li Y.Huang Y.Cao Q.Wang M.Acharya T.Xie N.Craswell J.Guo Y.Lan X.Cheng T.Liu Mingzhou Xie L.Xia F.Wu X.Jiang R.Xu Q.Lu X.Wang Z.Cao W.Ni J.Pei T.Sharma L.Xia M.Lu W.Ma P.Wang S.Wan H.Hon Y.Hu S.Li D.Meyerzon L.Liu H.Zhang F.Peng W.Ma Y.Shan T.Burda C.Wang J.Wang X.Lin W.Wang H.Wang H.Li W.Tian R.Li
Talks about:learn (5) model (4) rank (4) base (4) document (3) search (3) optim (3) approach (2) sentenc (2) retriev (2)
Person: Jun Xu
DBLP: Xu:Jun
Contributed to:
2015
2014201220122011
2010
200920082008
2007
20072007
200620062005
2017Wrote 18 papers:
- SIGIR-2015-WangGLXWC #learning #recommendation #representation
- Learning Hierarchical Representation Model for NextBasket Recommendation (PW, JG, YL, JX, SW, XC), pp. 403–412.
- SIGIR-2015-XiaXLGC #evaluation #learning #metric #optimisation
- Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures (LX, JX, YL, JG, XC), pp. 113–122.
- CIKM-2014-Wu0LJ #constraints #optimisation #ranking
- Ranking Optimization with Constraints (FW, JX, HL, XJ), pp. 1049–1058.
- CIKM-2012-XuXLW #classification
- Coarse-to-fine sentence-level emotion classification based on the intra-sentence features and sentential context (JX, RX, QL, XW), pp. 2455–2458.
- 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.
- SIGIR-2011-WangXLC #semantics
- Regularized latent semantic indexing (QW, JX, HL, NC), pp. 685–694.
- SIGMOD-2010-WangWLWWLTXL #dataset #detection #named
- MapDupReducer: detecting near duplicates over massive datasets (CW, JW, XL, WW, HW, HL, WT, JX, RL), pp. 1119–1122.
- RE-2009-LiuZPMSXB #comprehension #requirements
- Understanding Chinese Characteristics of Requirements Engineering (LL, HZ, FP, WM, YS, JX, TB), pp. 261–266.
- CIKM-2008-NiXLH #approach #learning
- Group-based learning: a boosting approach (WN, JX, HL, YH), pp. 1443–1444.
- 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.
- ESEC-FSE-2007-AcharyaXPX #api #mining #partial order #source code #specification
- Mining API patterns as partial orders from source code: from usage scenarios to specifications (MA, TX, JP, JX), pp. 25–34.
- SIGIR-2007-XuL #algorithm #information retrieval #named
- AdaRank: a boosting algorithm for information retrieval (JX, HL), pp. 391–398.
- ASE-2006-AcharyaSXX #effectiveness #generative #interface #robust #static analysis
- Effective Generation of Interface Robustness Properties for Static Analysis (MA, TS, JX, TX), pp. 293–296.
- 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.
- CASE-2017-XieXX
- State-dependent M/G/1/K queuing model for hard disk drives (MX, LX, JX), pp. 831–837.