Travelled to:
1 × Canada
1 × The Netherlands
1 × Turkey
1 × United Kingdom
2 × China
2 × France
2 × Germany
9 × USA
Collaborated with:
S.Nath Y.Shi F.Zhao H.Li S.Zhang E.Cheong D.Lymberopoulos W.Liang S.Venkataramani M.Shoaib A.Mueen C.Yu B.Priyantha A.Raghunathan C.Zhang E.S.Burnside D.Page J.Chen Y.Zhang Y.Huang W.Yang S.Gandhi S.Suri G.Reeves J.Liebman W.Xu S.Zhao E.Koukoumidis K.Strauss D.Burger P.Zhao A.C.König K.Berberich S.Liang D.Ye J.Wei T.Huang W.Fan S.Ma Y.Hu Y.Wu D.Wang S.Govindan A.Sivasubramaniam A.Kansal B.Khessib L.Li C.M.Liang A.Terzis C.Faloutsos M.Goraczko S.Matic T.Basten L.Benini A.Chandrakasan M.Lindwer R.Min V.Bahl X.Hua J.Li M.Philipose J.Huang Y.Wang Y.Zhao S.Liu C.Mo L.Zhang
Talks about:
system (5) scale (4) method (3) model (3) embed (3) imag (3) datacent (2) compress (2) advertis (2) multipl (2)
Person: Jie Liu
DBLP: Liu:Jie
Contributed to:
Wrote 23 papers:
- DAC-2015-VenkataramaniRL #classification #energy #machine learning
- Scalable-effort classifiers for energy-efficient machine learning (SV, AR, JL, MS), p. 6.
- DATE-2015-VenkataramaniBH #named
- SAPPHIRE: an always-on context-aware computer vision system for portable devices (SV, VB, XSH, JL, JL, MP, BP, MS), pp. 1491–1496.
- ASPLOS-2014-WangGSKLK #framework
- Underprovisioning backup power infrastructure for datacenters (DW, SG, AS, AK, JL, BK), pp. 177–192.
- CHI-2014-HuangYWZLMLZS #named #using
- FOCUS: enhancing children’s engagement in reading by using contextual BCI training sessions (JH, CY, YW, YZ, SL, CM, JL, LZ, YS), pp. 1905–1908.
- ICML-c2-2014-LiuZBP #dependence #modelling #multi #testing #visual notation
- Multiple Testing under Dependence via Semiparametric Graphical Models (JL, CZ, ESB, DP), pp. 955–963.
- CHI-2013-XuYZLS #parallel #perspective #web
- Facilitating parallel web browsing through multiple-page view (WX, CY, SZ, JL, YS), pp. 2167–2170.
- ASPLOS-2011-KoukoumidisLSLB
- Pocket cloudlets (EK, DL, KS, JL, DB), pp. 171–184.
- CIKM-2011-LiuCZH #learning #random
- Learning conditional random fields with latent sparse features for acronym expansion finding (JL, JC, YZ, YH), pp. 867–872.
- CIKM-2011-LymberopoulosZKBL #mobile #predict
- Location-aware click prediction in mobile local search (DL, PZ, ACK, KB, JL), pp. 413–422.
- HCI-UA-2011-LiuS #performance #scalability
- uMeeting, an Efficient Co-located Meeting System on the Large-Scale Tabletop (JL, YS), pp. 368–374.
- ICDAR-2011-LiuLZL #detection #image #novel
- A Novel Italic Detection and Rectification Method for Chinese Advertising Images (JL, HL, SZ, WL), pp. 698–702.
- ICDAR-2011-LiuZLL #clustering #image #locality
- A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images (JL, SZ, HL, WL), pp. 1044–1048.
- KDD-2011-LiLLNTF #cyber-physical #named
- ThermoCast: a cyber-physical forecasting model for datacenters (LL, CJML, JL, SN, AT, CF), pp. 1370–1378.
- ICPR-2010-LiuZYL #hybrid #image #performance
- A Fast Image Inpainting Method Based on Hybrid Similarity-Distance (JL, SZ, WY, HL), pp. 4432–4435.
- SIGMOD-2010-MueenNL #approximate #correlation #performance
- Fast approximate correlation for massive time-series data (AM, SN, JL), pp. 171–182.
- CAiSE-2009-LiuLYWH #analysis #constraints #using #verification #workflow
- ETL Workflow Analysis and Verification Using Backwards Constraint Propagation (JL, SL, DY, JW, TH), pp. 455–469.
- SIGMOD-2009-GandhiNSL #multi #named #scalability
- GAMPS: compressing multi sensor data by grouping and amplitude scaling (SG, SN, SS, JL), pp. 771–784.
- VLDB-2009-ReevesLNZ #multi
- Managing Massive Time Series Streams with MultiScale Compressed Trickles (GR, JL, SN, FZ), pp. 97–108.
- DAC-2008-GoraczkoLLMPZ #clustering #embedded #energy #multi
- Energy-optimal software partitioning in heterogeneous multiprocessor embedded systems (MG, JL, DL, SM, BP, FZ), pp. 191–196.
- VLDB-2008-FanMHLW #dependence #functional
- Propagating functional dependencies with conditions (WF, SM, YH, JL, YW), pp. 391–407.
- DATE-2005-CheongL #embedded #named
- galsC: A Language for Event-Driven Embedded Systems (EC, JL), pp. 1050–1055.
- DATE-2003-BastenBCLLMZ #scalability
- Scaling into Ambient Intelligence (TB, LB, AC, ML, JL, RM, FZ), pp. 10076–10083.
- SAC-2003-CheongLLZ #embedded #named #programming
- TinyGALS: A Programming Model for Event-Driven Embedded Systems (EC, JL, JL, FZ), pp. 698–704.