Travelled to:
1 × Chile
1 × Germany
1 × Italy
1 × Switzerland
1 × Turkey
2 × China
2 × USA
Collaborated with:
M.Yang T.Zhao H.Qi J.B.Brockman W.Song T.Liu J.Kawale Y.Fu M.Wan S.Wang X.He D.Zheng Y.Li Y.Zhang Y.Xie X.Jing Y.Yao L.Bian J.Yang C.Chen P.M.Kogge A.Kashyap M.M.Mojarradi K.Chen N.Muralimanohar J.H.Ahn N.P.Jouppi Q.Yu Z.Xu J.Wen
Talks about:
queri (4) predict (2) classif (2) memori (2) model (2) base (2) architectur (1) technolog (1) distribut (1) discrimin (1)
Person: Sheng Li
DBLP: Li:Sheng
Contributed to:
Wrote 10 papers:
- SIGIR-2015-LiKF #behaviour #matrix #predict
- Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization (SL, JK, YF), pp. 875–878.
- DATE-2012-ChenLMABJ #3d #architecture #in memory #memory management #modelling #named
- CACTI-3DD: Architecture-level modeling for 3D die-stacked DRAM main memory (KC, SL, NM, JHA, JBB, NPJ), pp. 33–38.
- SIGIR-2012-SongYXLLW #multi #query #summary
- Multi-aspect query summarization by composite query (WS, QY, ZX, TL, SL, JRW), pp. 325–334.
- SIGIR-2011-SongZXLL #query #ranking
- Query term ranking based on search results overlap (WS, YZ, YX, TL, SL), pp. 1253–1254.
- ICPR-2010-JingLYBY #analysis #kernel
- Kernel Uncorrelated Adjacent-class Discriminant Analysis (XYJ, SL, YFY, LSB, JY), pp. 706–709.
- SIGIR-2010-ChenYLZQ #classification #personalisation #predict #query #question
- Predicting query potential for personalization, classification or regression? (CC, MY, SL, TZ, HQ), pp. 725–726.
- SIGIR-2010-QiYHL
- Re-examination on lam% in spam filtering (HQ, MY, XH, SL), pp. 757–758.
- ICEIS-AIDSS-2009-ZhengZLL #case study #classification #image #multi
- Study on Image Classification based on SVM and the Fusion of Multiple Features (DZ, TZ, SL, YL), pp. 80–84.
- DAC-2008-BrockmanLKKM #array #design #memory management #multi #programmable #using
- Design of a mask-programmable memory/multiplier array using G4-FET technology (JBB, SL, PMK, AK, MMM), pp. 337–338.
- DHM-2007-LiWW
- The Effects of the False Vocal Fold Gaps in a Model of the Larynx on Pressures Distributions and Flows (SL, MW, SW), pp. 147–156.