BibSLEIGH — Wei

Travelled to:

1 × Germany
1 × Israel
1 × Italy
1 × Spain
1 × Switzerland
1 × Turkey
2 × Australia
2 × Canada
3 × United Kingdom
7 × China
9 × USA

Collaborated with:

S.Chang J.Bailey J.Chan C.Leckie K.Ramamohanarao J.He J.Wang E.Ribeiro H.Wang Y.Wang T.Tan J.Tuck S.Kumar J.Liu D.Lee R.Kotagiri G.Ristanoski L.Han Y.Tan Q.Qiu G.Dai A.Kan P.J.Stappers G.Pasman J.Taal-Fokker Y.Luo X.Tang W.Fan S.Z.Li J.Yi L.Zhang T.Yang J.Chen A.Toma T.Kuo Q.Deng Y.Mu Y.Zheng S.Chawla J.Yuan X.Xing A.Nannarelli A.Calimera E.Macii M.Poncino S.Ma D.Tao P.Liu S.Feng Y.Xiong C.Yao L.Zheng X.Yuan Z.Liu R.Ma W.Kang Y.Li Z.Liu W.Cheng Q.Wu X.Luo F.Tian D.Teng X.Lv T.Yang Z.Liao M.Elahi Y.Qiao X.Li K.Zhong H.Ma B.Wei L.Shi X.Bao L.Wang B.Wang Y.Wang S.Chen J.Wan J.Meng K.Zhang X.Ning J.Pei X.Liu F.Li Y.Gu L.Cai G.Yang Z.Liu B.Xu J.Bu C.Chen D.Cai X.He J.Luo L.Ceze W.Ahn K.Strauss J.Renau J.Torrellas E.Borin Y.Wu C.Wang M.B.Jr. S.Hu E.Natanzon S.Rotem R.Rosner

Talks about:

time (7) use (7) graph (6) dynam (5) search (4) data (4) supervis (3) parallel (3) support (3) optim (3)

Person: Wei Liu

DBLP: Liu:Wei

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2004

Wrote 34 papers:

KDD-2015-Yi0YLW #algorithm #clustering #constraints #performance: An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints (JY, LZ, TY, WL, JW), pp. 1405–1414.
CIKM-2014-LiuLK #classification #information management #performance #using: Using Local Information to Significantly Improve Classification Performance (WL, DL, RK), pp. 1947–1950.
DAC-2014-LiuCTKD #component #realtime #using: Computation Offloading by Using Timing Unreliable Components in Real-Time Systems (WL, JJC, AT, TWK, QD), p. 6.
SIGIR-2014-MaLWSBWW #named #policy #query #web: PAAP: prefetch-aware admission policies for query results cache in web search engines (HM, WL, BW, LS, XB, LW, BW), pp. 983–986.
CIKM-2013-ChanLKLBR #graph #matrix #using: Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation (JC, WL, AK, CL, JB, KR), pp. 811–816.
HPCA-2013-WangCWMZLN #architecture #execution #parallel: A multiple SIMD, multiple data (MSMD) architecture: Parallel execution of dynamic and static SIMD fragments (YW, SC, JW, JM, KZ, WL, XN), pp. 603–614.
KDD-2013-RistanoskiLB: A time-dependent enhanced support vector machine for time series regression (GR, WL, JB), pp. 946–954.
CIKM-2012-LiuCBLR #graph #mining: Utilizing common substructures to speedup tensor factorization for mining dynamic graphs (WL, JC, JB, CL, KR), pp. 435–444.
CIKM-2012-LiuKCBLPR #graph #on the: On compressing weighted time-evolving graphs (WL, AK, JC, JB, CL, JP, KR), pp. 2319–2322.
ICML-2012-LiuWMKC: Compact Hyperplane Hashing with Bilinear Functions (WL, JW, YM, SK, SFC), p. 64.
KDD-2012-ChanLLBR #graph #mining #multi #named: SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs (JC, WL, CL, JB, KR), pp. 651–659.
SEKE-2012-LiuLLGCYL #automation #execution #parallel #testing: Parallel Path Execution for Software Testing Over Automated Test Cloud (WL, XL, FL, YG, LC, GY, ZL), pp. 279–282.
CSCW-2011-LiuSPT #challenge #generative #interactive: Supporting generation Y interactions: challenges for office work (WL, PJS, GP, JTF), pp. 669–672.
ICML-2011-LiuWKC #graph: Hashing with Graphs (WL, JW, SK, SFC), pp. 1–8.
KDD-2011-LiuZCYX #data type #interactive: Discovering spatio-temporal causal interactions in traffic data streams (WL, YZ, SC, JY, XX), pp. 1010–1018.
SIGIR-2011-XuBCCHLL #image #performance #ranking #retrieval: Efficient manifold ranking for image retrieval (BX, JB, CC, DC, XH, WL, JL), pp. 525–534.
CGO-2010-BorinWWLBHNRR #named #optimisation: TAO: two-level atomicity for dynamic binary optimizations (EB, YW, CW, WL, MBJ, SH, EN, SR, RR), pp. 12–21.
CGO-2010-HanLT #parallel #reduction: Speculative parallelization of partial reduction variables (LH, WL, JT), pp. 141–150.
DATE-2010-LiuNCMP #reduction: Post-placement temperature reduction techniques (WL, AN, AC, EM, MP), pp. 634–637.
DATE-2010-LiuTQ #algorithm #constraints #performance #power management: Enhanced Q-learning algorithm for dynamic power management with performance constraint (WL, YT, QQ), pp. 602–605.
ICML-2010-LiuHC #graph #learning #scalability: Large Graph Construction for Scalable Semi-Supervised Learning (WL, JH, SFC), pp. 679–686.
ICPR-2010-LiuR #using: Estimating Nonrigid Shape Deformation Using Moments (WL, ER), pp. 185–188.
KDD-2010-HeLC #kernel #scalability #similarity: Scalable similarity search with optimized kernel hashing (JH, WL, SFC), pp. 1129–1138.
KDD-2010-LiuMTLL #learning #metric #optimisation #using: Semi-supervised sparse metric learning using alternating linearization optimization (WL, SM, DT, JL, PL), pp. 1139–1148.
SAC-2010-LuoTLTDW #design #enterprise #evaluation #process #visualisation: Visualizing time-series data in processlines: design and evaluation of a process enterprise application (XL, FT, WL, DT, GD, HW), pp. 1165–1172.
CIKM-2009-FengXYZL #ambiguity #scalability #web: Acronym extraction and disambiguation in large-scale organizational web pages (SF, YX, CY, LZ, WL), pp. 1693–1696.
SAC-2009-LuYLELW #correlation #data type #detection #incremental #using: Incremental outlier detection in data streams using local correlation integral (XL, TY, ZL, ME, WL, HW), pp. 1520–1521.
CHI-2008-LuoLLT #image #multi #named #query: MQSearch: image search by multi-class query (YL, WL, JL, XT), pp. 49–52.
ICEIS-DISI-2008-LiuQLZWD #distributed #specification #visual notation: A Visual Specification Tool for Event-Condition-Action Rules Supporting Web-Based Distributed System (WL, YQ, XL, KZ, HW, GD), pp. 246–251.
DHM-2007-LiuYLMK #development #evaluation: Development of a Test-Bed for Synthetical Ergonomics Evaluation of Pilot (WL, XgY, ZQL, RM, WyK), pp. 923–928.
PPoPP-2006-LiuTCASRT #compilation #named: POSH: a TLS compiler that exploits program structure (WL, JT, LC, WA, KS, JR, JT), pp. 158–167.
ICPR-v1-2004-FanWLT #null #recognition: Combining Null Space-based Gabor Features for Face Recognition (WF, YW, WL, TT), pp. 330–333.
ICPR-v4-2004-LiuWLT #classification #recognition: Nearest Intra-Class Space Classifier for Face Recognition (WL, YW, SZL, TT), pp. 495–498.
SEKE-2004-LiLCWL #using: Extracting Minimal Non-Redundant Implication Rules by Using Quantized Closed Itemset Lattice (YL, ZL, WC, QW, WL), pp. 402–405.