Travelled to:1 × Denmark
1 × Japan
1 × Spain
1 × Turkey
2 × China
2 × France
5 × USA
Collaborated with:J.Ye ∅ C.L.Tan P.Wonka M.Kao Y.Liu S.Yang W.Fan Y.Liu M.S.Brown C.Song T.Ge C.X.Chen J.Liu Z.Zhao Z.Fang B.Liu W.Gong P.Chen J.Wang Z.Si W.Wang X.Wang Q.Chen Q.Li X.Zhang Q.Xu X.Li Z.Yang M.Sbert J.Li Q.Gao H.Zhang Y.Xiong L.Zhang H.Mei W.Dou Y.Gao C.Gao F.Qin K.Yin J.W.0001
Talks about:algorithm (3) registr (3) variat (3) histor (3) effici (3) applic (3) non (3) bug (3) manuscript (2) problem (2)
Person: Jie Wang
DBLP: Wang:Jie
Contributed to:
2015
20142014
20142013
2012
2011
201120102009
20092009
1998
1995
2015
20162017Wrote 20 papers:
- ICML-2015-WangY #learning #matrix #multi
- Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.
- VLDB-2015-SongGCW14 #graph #pattern matching
- Event Pattern Matching over Graph Streams (CS, TG, CXC, JW), pp. 413–424.
- ICML-c2-2014-LiuZWY
- Safe Screening with Variational Inequalities and Its Application to Lasso (JL, ZZ, JW, JY), pp. 289–297.
- ICML-c2-2014-WangLYFWY #algorithm #modelling #parallel #scalability
- A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models (JW, QL, SY, WF, PW, JY), pp. 235–243.
- ICML-c2-2014-WangWY #reduction #scalability
- Scaling SVM and Least Absolute Deviations via Exact Data Reduction (JW, PW, JY), pp. 523–531.
- KDD-2014-LiuWY #algorithm #performance
- An efficient algorithm for weak hierarchical lasso (YL, JW, JY), pp. 283–292.
- KDD-2013-YangWFZWY #algorithm #multi #performance #problem
- An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems (SY, JW, WF, XZ, PW, JY), pp. 641–649.
- ICPR-2012-XuLYWSL
- Key frame selection based on Jensen-Rényi divergence (QX, XL, ZY, JW, MS, JL), pp. 1892–1895.
- ICDAR-2011-WangT
- Non-rigid Registration and Restoration of Double-Sided Historical Manuscripts (JW, CLT), pp. 1374–1378.
- KDIR-2011-FangWLG #metric #network #statistics #wiki
- Wikipedia as Domain Knowledge Networks — Domain Extraction and Statistical Measurement (ZF, JW, BL, WG), pp. 159–165.
- ICPR-2010-WangT #image
- Non-rigid Image Registration for Historical Manuscript Restoration (JW, CLT), pp. 2274–2277.
- ICDAR-2009-WangBT #automation #documentation #image
- Automatic Corresponding Control Points Selection for Historical Document Image Registration (JW, MSB, CLT), pp. 1176–1180.
- IDGD-2009-ChenWSWL
- The Application of ICTs and Digital Divide in Rural China (PC, JW, ZS, JW, YL), pp. 347–355.
- OCSC-2009-WangWLWC #case study #concept #design #network #social #user study
- Ethnographic User Study and Concept Design for Chinese Migrant Workers’ Social Networks (JW, WW, YL, XW, QC), pp. 710–718.
- ICALP-1998-KaoW #fault #performance
- Efficient Minimization of Numerical Summation Errors (MYK, JW), pp. 375–386.
- STOC-1995-Wang #problem #word
- Average-case completeness of a word problem for groups (JW), pp. 325–334.
- ASE-2015-GaoZWXZM #debugging
- Fixing Recurring Crash Bugs via Analyzing Q&A Sites (T) (QG, HZ, JW, YX, LZ, HM), pp. 307–318.
- FSE-2016-Wang #constraints #reduction
- Constraint-based event trace reduction (JW), pp. 1106–1108.
- ASE-2017-Wang #debugging #javascript #nondeterminism
- Characterizing and taming non-deterministic bugs in JavaScript applications (JW), pp. 1006–1009.
- ASE-2017-WangDGGQYW #concurrent #debugging
- A comprehensive study on real world concurrency bugs in Node.js (JW, WD, YG, CG, FQ, KY, JW0), pp. 520–531.