Travelled to:1 × Canada
1 × France
3 × China
3 × United Kingdom
5 × USA
Collaborated with:H.Ai X.Shen Z.Zhao C.Huang M.Zhou S.Lao Y.Ding Y.Jiang Y.Gao R.Silvera Z.Fan Y.Wu R.Liu Y.Wu J.Liu H.Lu Q.Yu I.Cohen G.G.Medioni Y.Wang N.A.Sherwani N.D.Holmes M.Sarrafzadeh E.Z.Zhang Z.Yang L.Cai G.Yiu J.Sun Y.Wu
Talks about:program (3) detect (3) boost (3) probabilist (2) sequenc (2) predict (2) profil (2) facial (2) track (2) simpl (2)
Person: Bo Wu
DBLP: Wu:Bo
Contributed to:
2014
2014
2013
2013
20132012
2010
20082006200420042004
1992Wrote 15 papers:
- ASPLOS-2014-ZhaoWS #finite #state machine
- Challenging the “embarrassingly sequential”: parallelizing finite state machine-based computations through principled speculation (ZZ, BW, XS), pp. 543–558.
- OOPSLA-2014-ZhaoWZDSSW #automaton #predict #probability #sequence
- Call sequence prediction through probabilistic calling automata (ZZ, BW, MZ, YD, JS, XS, YW), pp. 745–762.
- CGO-2013-ZhouWDS #flexibility #framework #migration #named
- Profmig: A framework for flexible migration of program profiles across software versions (MZ, BW, YD, XS), p. 12.
- ECOOP-2013-WuZSGSY #fault #optimisation #statistics
- Simple Profile Rectifications Go a Long Way — Statistically Exploring and Alleviating the Effects of Sampling Errors for Program Optimizations (BW, MZ, XS, YG, RS, GY), pp. 654–678.
- PPoPP-2013-WuZZJS #algorithm #analysis #complexity #design #gpu #memory management
- Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on GPU (BW, ZZ, EZZ, YJ, XS), pp. 57–68.
- OOPSLA-2012-WuZSJGS #behaviour #correlation #predict
- Exploiting inter-sequence correlations for program behavior prediction (BW, ZZ, XS, YJ, YG, RS), pp. 851–866.
- CIKM-2010-FanWW #clustering #normalisation #performance #visual notation
- Maximum normalized spacing for efficient visual clustering (ZGF, YW, BW), pp. 409–418.
- ICPR-2008-WuWLL #probability
- Probabilistic tracking on Riemannian manifolds (YW, BW, JL, HL), pp. 1–4.
- ICPR-v2-2006-YuCMW #detection #markov #monte carlo #multi
- Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking (QY, IC, GGM, BW), pp. 675–678.
- ICPR-v1-2004-WuAL #detection
- Glasses Detection by Boosting Simple Wavelet Features (BW, HA, RL), pp. 292–295.
- ICPR-v1-2004-YangAWLC #estimation #video
- Face Pose Estimation and its Application in Video Shot Selection (ZY, HA, BW, SL, LC), pp. 322–325.
- ICPR-v2-2004-HuangAWL #detection #multi
- Boosting Nested Cascade Detector for Multi-View Face Detection (CH, HA, BW, SL), pp. 415–418.
- ICPR-v3-2004-WangAWH #realtime #recognition
- Real Time Facial Expression Recognition with Adaboost (YW, HA, BW, CH), pp. 926–929.
- ICPR-v3-2004-WuAH #classification #image #retrieval
- Facial Image Retrieval Based on Demographic Classification (BW, HA, CH), pp. 914–917.
- DAC-1992-WuSHS
- Over-the-Cell Routers for New Cell Model (BW, NAS, NDH, MS), pp. 604–607.