Travelled to:
2 × France
2 × United Kingdom
3 × USA
Collaborated with:
H.Fang C.Yao M.D.Natale P.Giusto A.L.Sangiovanni-Vincentelli S.A.Seshia Y.Lei Q.Chang M.Wang C.Wang Z.Liu Y.Bai J.Wang T.H.Feng L.Wang S.Kanajan C.Pinello S.Zhang Y.Ouyang F.Makedon J.Ford Y.Sui Y.Z.0001 M.Zhang J.Xue H.Zeng A.Ghosal W.Li
Talks about:
system (3) time (3) real (3) base (3) diversif (2) result (2) optim (2) model (2) flex (2) use (2)
Person: Wei Zheng
DBLP: Zheng:Wei
Contributed to:
Wrote 11 papers:
- CIKM-2012-ZhengFY #concept
- Exploiting concept hierarchy for result diversification (WZ, HF, CY), pp. 1844–1848.
- CIKM-2011-WangZLBW #classification #multi #random #using
- Using random walks for multi-label classification (CW, WZ, ZL, YB, JW), pp. 2197–2200.
- CIKM-2011-ZhengFYW #enterprise
- Search result diversification for enterprise data (WZ, HF, CY, MW), pp. 1901–1904.
- ECIR-2010-ZhengF #information retrieval #query
- Query Aspect Based Term Weighting Regularization in Information Retrieval (WZ, HF), pp. 344–356.
- DAC-2009-ZengZNGGS #optimisation #scheduling #using
- Scheduling the FlexRay bus using optimization techniques (HZ, WZ, MDN, AG, PG, ALSV), pp. 874–877.
- DATE-2009-LiNZGSS #dependence #optimisation #protocol
- Optimizations of an application-level protocol for enhanced dependability in FlexRay (WL, MDN, WZ, PG, ALSV, SAS), pp. 1076–1081.
- DATE-2007-FengWZKS #automation #black box #generative #interactive #realtime
- Interactive presentation: Automatic model generation for black box real-time systems (THF, LW, WZ, SK, SAS), pp. 930–935.
- DATE-2007-ZhengNPGV #distributed #modelling #realtime #synthesis
- Synthesis of task and message activation models in real-time distributed automotive systems (WZ, MDN, CP, PG, ALSV), pp. 93–98.
- SAC-2005-ZhengZOMF #clustering #network
- Node clustering based on link delay in P2P networks (WZ, SZ, YO, FM, JF), pp. 744–749.
- ESEC-FSE-2019-SuiZZZX #analysis #android #debugging #difference #effectiveness #reduction #user interface
- Event trace reduction for effective bug replay of Android apps via differential GUI state analysis (YS, YZ0, WZ, MZ, JX), pp. 1095–1099.
- CASE-2017-ZhengLC #comparison #learning #policy #realtime
- Comparison study of two reinforcement learning based real-time control policies for two-machine-one-buffer production system (WZ, YL, QC), pp. 1163–1168.