Travelled to:1 × Australia
1 × Canada
1 × China
1 × Italy
1 × Japan
1 × Sweden
1 × Switzerland
1 × Turkey
2 × Spain
3 × USA
Collaborated with:W.Chen Y.Zhang H.Lu G.Wang X.Tan E.M.Clarke M.Talupur B.Hu Z.Xiao Y.Chen Z.Chen Z.Su X.Yang X.Luo Q.Yang O.Grumberg H.Veith C.Li Y.Lu Q.Mei S.Pandey H.Zheng Q.Zhang H.Li T.Yang L.Chen D.Ding F.Lin B.Zhang C.Zhu Z.A.Zhu Z.Zhang L.Zhang F.Zhong H.Wang P.Ho J.Long J.H.Kukula Y.Zhu H.T.Ma R.F.Damiano Y.Gao W.Dou F.Qin C.Gao J.W.0001 R.Huang L.Zhou Y.Wu
Talks about:click (7) model (4) abstract (3) search (3) predic (3) color (3) behavior (2) predict (2) classif (2) object (2)
Person: Dong Wang
DBLP: Wang:Dong
Contributed to:
2015
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20102009
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2001
2018Wrote 16 papers:
- KDD-2015-LiLMWP #predict #timeline #twitter
- Click-through Prediction for Advertising in Twitter Timeline (CL, YL, QM, DW, SP), pp. 1959–1968.
- ICPR-2014-WangT #classification
- Label-Denoising Auto-encoder for Classification with Inaccurate Supervision Information (DW, XT), pp. 3648–3653.
- ICPR-2012-SuYLW #bound #classification #editing #using
- Local color editing using color classification and boundary inpainting (ZS, XY, XL, DW), pp. 3196–3199.
- ICPR-2012-XiaoLW
- Object tracking with L2-RLS (ZX, HL, DW), pp. 1351–1354.
- KDD-2011-ZhangCWY #behaviour #comprehension #modelling #predict
- User-click modeling for understanding and predicting search-behavior (YZ, WC, DW, QY), pp. 1388–1396.
- CIKM-2010-WangCWZH #modelling #ranking
- Explore click models for search ranking (DW, WC, GW, YZ, BH), pp. 1417–1420.
- CIKM-2010-ZhangWWCZHZ #learning #modelling
- Learning click models via probit bayesian inference (YZ, DW, GW, WC, ZZ, BH, LZ), pp. 439–448.
- ICPR-2010-WangLC #incremental
- Incremental MPCA for Color Object Tracking (DW, HL, YWC), pp. 1751–1754.
- 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-ZhongWWCZCW #behaviour
- Incorporating post-click behaviors into a click model (FZ, DW, GW, WC, YZ, ZC, HW), pp. 355–362.
- CIKM-2009-ZhuCZWWC #algorithm #ranking
- A general magnitude-preserving boosting algorithm for search ranking (CZ, WC, ZAZ, GW, DW, ZC), pp. 817–826.
- ECIR-2005-ChenDWLZ #feature model
- AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004 (LC, DD, DW, FL, BZ), pp. 568–570.
- CAV-2003-ClarkeGTW #abstraction #how #performance
- Making Predicate Abstraction Efficient: How to Eliminate Redundant Predicates (EMC, OG, MT, DW), pp. 126–140.
- SAT-2003-ClarkeTVW #abstraction #hardware #satisfiability #verification
- SAT Based Predicate Abstraction for Hardware Verification (EMC, MT, HV, DW), pp. 78–92.
- DAC-2001-WangHLKZMD #abstraction #hybrid #refinement #simulation #verification
- Formal Property Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines (DW, PHH, JL, JHK, YZ, HKTM, RFD), pp. 35–40.
- ESEC-FSE-2018-GaoDQGW0HZW #debugging #distributed #empirical #scalability
- An empirical study on crash recovery bugs in large-scale distributed systems (YG, WD, FQ, CG, DW, JW0, RH, LZ, YW), pp. 539–550.