Travelled to:
2 × China
Collaborated with:
J.Wu Y.Zhang W.Lu S.Shi Y.Yan H.Yu S.Yang W.An G.Fei Y.Liu L.Li J.Yuan L.Wang C.Yang L.Zhang P.Gao Y.Lin Y.Xia T.Mao Z.Ye L.Zhuang C.Du R.Li X.Wang D.Yi Y.Yin J.Pan
Talks about:
recommend (3) chines (3) system (2) semant (2) search (2) cadal (2) imag (2) data (2) book (2) base (2)
Person: Baogang Wei
DBLP: Wei:Baogang
Contributed to:
Wrote 9 papers:
- JCDL-2014-GaoWLXMW #performance #retrieval #scalability
- Fast Image-based Chinese Calligraphic Character Retrieval on Large Scale Data (PG, JW, YL, YX, TM, BW), pp. 211–220.
- JCDL-2014-YangLWA #re-engineering
- Amplifying scientific paper’s abstract by leveraging data-weighted reconstruction (SY, WL, BW, WA), pp. 447–448.
- CIKM-2009-ShiWY #framework #named #recommendation #semantics
- Msuggest: a semantic recommender framework for traditional chinese medicine book search engine (SS, BW, YY), pp. 533–542.
- ICPR-v4-2006-FeiLWL #image
- Discontinuity-Based Simplification of Free Form Surface From a Range Image (GF, YL, BW, LL), pp. 13–16.
- JCDL-2009-YangWWZZ #named #recommendation
- CARES: a ranking-oriented CADAL recommender system (CY, BW, JW, YZ, LZ), pp. 203–212.
- JCDL-2010-YeZWDWZ #approach #hybrid
- In-depth utilization of Chinese ancient maps: a hybrid approach to digitizing map resources in CADAL (ZY, LZ, JW, CD, BW, YZ), pp. 263–272.
- JCDL-2011-LiZYWWW #gpu #recommendation #social #using
- A social network-aware top-N recommender system using GPU (RL, YZ, HY, XW, JW, BW), pp. 287–296.
- JCDL-2011-YuanWLW #detection #video
- A new video text detection method (JY, BW, WL, LW), pp. 359–362.
- JCDL-2012-YiZYYPW #analysis #multi #semantics
- Improving multi-faceted book search by incorporating sparse latent semantic analysis of click-through logs (DY, YZ, HY, YY, JP, BW), pp. 249–258.