Travelled to:
1 × China
1 × France
7 × USA
Collaborated with:
L.V.S.Lakshmanan M.Sakauchi B.C.Ooi C.Lioma W.Wu K.Chiu D.Gannon F.Bonchi A.Goyal K.Li S.Bhagat Y.Shen B.Larsen Q.Cheng J.Jackson R.S.Barga T.Okuhashi S.Ioannidis J.Gao H.V.Jagadish S.Chen S.Chen A.Slominski Ç.Aslay C.Yu L.Chen B.Cui H.T.Shen X.Zhou F.Wang J.Liu M.Shah D.Xu G.Chen H.V.Jagadish B.M.Tudor
Talks about:
retriev (3) system (3) social (3) inform (3) effici (3) draw (3) understand (2) recommend (2) recognit (2) process (2)
Person: Wei Lu
DBLP: Lu:Wei
Contributed to:
Wrote 18 papers:
- VLDB-2015-AslayLB0L #social
- Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret (ÇA, WL, FB, AG, LVSL), pp. 822–833.
- VLDB-2015-ShenCJLOT14 #distributed #graph #performance
- Fast Failure Recovery in Distributed Graph Processing Systems (YS, GC, HVJ, WL, BCO, BMT), pp. 437–448.
- KDD-2014-LiLBLY #on the #social
- On social event organization (KL, WL, SB, LVSL, CY), pp. 1206–1215.
- KDD-2014-LuIBL #recommendation #social
- Optimal recommendations under attraction, aversion, and social influence (WL, SI, SB, LVSL), pp. 811–820.
- SIGMOD-2014-GaoJLO #named
- DSH: data sensitive hashing for high-dimensional k-nnsearch (JG, HVJ, WL, BCO), pp. 1127–1138.
- VLDB-2014-LuCLL #recommendation
- Show Me the Money: Dynamic Recommendations for Revenue Maximization (WL, SC, KL, LVSL), pp. 1785–1796.
- KDD-2013-LuB0L #perspective
- The bang for the buck: fair competitive viral marketing from the host perspective (WL, FB, AG, LVSL), pp. 928–936.
- SIGIR-2012-LiomaLL #information retrieval
- Rhetorical relations for information retrieval (CL, BL, WL), pp. 931–940.
- SIGIR-2012-LuCL #information retrieval
- Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval (WL, QC, CL), pp. 1079–1080.
- VLDB-2012-LuSCO #nearest neighbour #performance #pipes and filters #using
- Efficient Processing of k Nearest Neighbor Joins using MapReduce (WL, YS, SC, BCO), pp. 1016–1027.
- HPDC-2010-LuJB #case study #named
- AzureBlast: a case study of developing science applications on the cloud (WL, JJ, RSB), pp. 413–420.
- CIKM-2009-ChenCSLZ #information retrieval #mobile #network #peer-to-peer #performance
- Efficient information retrieval in mobile peer-to-peer networks (LC, BC, HTS, WL, XZ), pp. 967–976.
- ICPR-2008-WangLLSX #adaptation #automation #video #word
- Automatic video annotation with adaptive number of key words (FW, WL, JL, MS, DX), pp. 1–4.
- HPDC-2006-LuCG #framework #xml
- Building a Generic SOAP Framework over Binary XML (WL, KC, DG), pp. 195–204.
- HPDC-2005-LuCSG #streaming #validation
- A streaming validation model for SOAP digital signature (WL, KC, AS, DG), pp. 243–252.
- ICDAR-v1-1995-LuOS #comprehension #interactive #performance #recognition
- A proposal of efficient interactive recognition system for understanding of map drawings (WL, TO, MS), pp. 520–523.
- ICDAR-v1-1995-LuWS #recognition
- A drawing recognition system with rule acquisition ability (WL, WW, MS), pp. 512–515.
- ICDAR-v1-1995-WuLS #comprehension #object-oriented
- An object-oriented model for drawing understanding and its ability of noise absorption (WW, WL, MS), pp. 261–264.