Travelled to:1 × Canada
1 × Sweden
1 × United Kingdom
2 × China
8 × USA
Collaborated with:J.Regehr E.Eide A.Groce C.Zhang D.Z.Wang R.Wang X.Yang L.Eeckhout O.Temam C.Wu M.A.Alipour S.Fang S.Huang J.Zhu Z.J.Li H.Tan O.Gnawali M.A.Kazandjieva P.Levis C.Lin C.Lin J.Li D.Wang T.Li P.Cuoq C.Ellison W.Wong X.Fern Y.Huang G.Fursin L.Peng R.Kasturi D.B.Goldgof E.Rajmadhan G.A.Pratt E.Krotkov D.Hackett Y.Ran Q.Zheng R.Sharma M.Anderson M.Peot M.Aguilar D.Khosla K.Kim L.Elazary R.C.Voorhies D.F.Parks L.Itti
Talks about:test (4) compil (3) optim (3) knowledg (2) reduct (2) evalu (2) iter (2) bug (2) probabilist (1) understand (1)
Person: Yang Chen
DBLP: Chen:Yang
Contributed to:
2014
2014
2014
2013
2012
2012
2012201220112010
2009
20092006Wrote 13 papers:
- ICPR-2014-KasturiGRPKHRZSAPAKCKEVPI #algorithm #evaluation #performance #recognition
- Performance Evaluation of Neuromorphic-Vision Object Recognition Algorithms (RK, DBG, ER, GAP, EK, DH, YR, QZ, RS, MA, MP, MA, DK, YC, KK, LE, RCV, DFP, LI), pp. 2401–2406.
- ICST-2014-GroceAZCR #reduction #testing
- Cause Reduction for Quick Testing (AG, MAA, CZ, YC, JR), pp. 243–252.
- SIGMOD-2014-ChenW #knowledge base #probability
- Knowledge expansion over probabilistic knowledge bases (YC, DZW), pp. 649–660.
- PLDI-2013-ChenGZWFER #compilation #fuzzing
- Taming compiler fuzzers (YC, AG, CZ, WKW, XF, EE, JR), pp. 197–208.
- ASPLOS-2012-ChenFETW #optimisation
- Iterative optimization for the data center (YC, SF, LE, OT, CW), pp. 49–60.
- CIKM-2012-LinLLWCL #generative #microblog
- Generating event storylines from microblogs (CL, CL, JL, DW, YC, TL), pp. 175–184.
- ISSTA-2012-GroceZECR #testing
- Swarm testing (AG, CZ, EE, YC, JR), pp. 78–88.
- PLDI-2012-RegehrCCEEY #c #compilation #debugging #reduction #testing
- Test-case reduction for C compiler bugs (JR, YC, PC, EE, CE, XY), pp. 335–346.
- PLDI-2011-YangCER #c #compilation #comprehension #debugging
- Finding and understanding bugs in C compilers (XY, YC, EE, JR), pp. 283–294.
- PLDI-2010-ChenHEFPTW #dataset #optimisation
- Evaluating iterative optimization across 1000 datasets (YC, YH, LE, GF, LP, OT, CW), pp. 448–459.
- SAC-2009-HuangCZLT #java #testing
- An optimized change-driven regression testing selection strategy for binary Java applications (SH, YC, JZ, ZJL, HT), pp. 558–565.
- SOSP-2009-ChenGKLR #fault #network
- Surviving sensor network software faults (YC, OG, MAK, PL, JR), pp. 235–246.
- ICPR-v2-2006-ChenW #analysis #component #independence #segmentation #using
- Texture Segmentation Using Independent Component Analysis of Gabor Features (YC, RW), pp. 147–150.