Travelled to:1 × Australia
1 × China
1 × Italy
1 × Korea
1 × New Zealand
1 × Portugal
1 × Republic of China
1 × Spain
1 × Sweden
11 × USA
2 × Germany
2 × United Kingdom
3 × Canada
Collaborated with:G.Rosu C.Lu R.Lee X.Zhang A.P.Boedihardjo H.Yang N.Ramakrishnan D.B.Neill ∅ P.O.Meredith D.Jin T.Luo M.P.Mesnier L.Zhao C.Lee T.Serbanuta R.P.Venkatesan L.Yu Z.Yuan C.Liu J.B.Akers Y.Tian L.Landy Y.Du W.Xu Y.Li S.Zhang X.Wu C.Zhang S.Li Z.Liang A.Farzan J.Meseguer Q.Wang H.Mei F.Yang T.Hua D.Liu G.Yin H.Wang P.Zou X.Ding Q.Lu Q.Sun J.Ye J.Dai B.Wang S.Sahu M.R.Naphade R.P.Khandpur N.Self F.Jin E.R.Dougherty S.Guo B.A.Prakash H.Zhou J.Li R.Liu H.Li H.Guo Y.Wang P.Butler S.Muthiah P.Saraf W.Wang J.Cadena A.Vullikanti G.Korkmaz C.J.Kuhlman A.Marathe B.Huang A.Srinivasan K.Trinh L.Getoor G.Katz A.Doyle C.Ackermann I.Zavorin J.Ford K.M.Summers Y.Fayed J.Arredondo D.Gupta D.Mares
Talks about:parametr (7) base (6) analysi (5) java (5) monitor (4) system (4) use (4) forecast (3) approach (3) requir (3)
Person: Feng Chen
DBLP: Chen:Feng
Contributed to:
20152014
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2002Wrote 33 papers:
- KDD-2015-ZhaoSYCLR #learning #multi
- Multi-Task Learning for Spatio-Temporal Event Forecasting (LZ, QS, JY, FC, CTL, NR), pp. 1503–1512.
- KDD-2014-ChenN #detection #graph #parametricity #social #social media #statistics
- Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs (FC, DBN), pp. 1166–1175.
- KDD-2014-JinKSDGCPR #community #geometry #modelling #network #social #using
- Modeling mass protest adoption in social network communities using geometric brownian motion (FJ, RPK, NS, ERD, SG, FC, BAP, NR), pp. 1660–1669.
- KDD-2014-RamakrishnanBMSKSWCVKKMZHCLHSTGKDAZFSFAGM #open source #using
- “Beating the news” with EMBERS: forecasting civil unrest using open source indicators (NR, PB, SM, NS, RPK, PS, WW, JC, AV, GK, CJK, AM, LZ, TH, FC, CTL, BH, AS, KT, LG, GK, AD, CA, IZ, JF, KMS, YF, JA, DG, DM), pp. 1799–1808.
- RE-2014-Chen #architecture #requirements
- From architecture to requirements: Relating requirements and architecture for better Requirements Engineering (FC), pp. 451–455.
- KDD-2013-HuaCZLR #detection #named #twitter
- STED: semi-supervised targeted-interest event detectionin in twitter (TH, FC, LZ, CTL, NR), pp. 1466–1469.
- SEKE-2013-YuYLC #empirical #testing #web
- An Empirical Study of an Improved Web Application Fuzz Testing Technique (LY, ZY, CL, FC), pp. 400–404.
- VLDB-2012-LuoLMCZ #data transformation #hybrid #named
- hStorage-DB: Heterogeneity-aware Data Management to Exploit the Full Capability of Hybrid Storage Systems (TL, RL, MPM, FC, XZ), pp. 1076–1087.
- HPCA-2011-ChenLZ #memory management #parallel #performance
- Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing (FC, RL, XZ), pp. 266–277.
- ICSE-2011-LeeCR #mining #parametricity #specification
- Mining parametric specifications (CL, FC, GR), pp. 591–600.
- KDD-2011-ChenDWSNL #analysis #process
- Activity analysis based on low sample rate smart meters (FC, JD, BW, SS, MRN, CTL), pp. 240–248.
- SOSP-2011-MesnierCLA
- Differentiated storage services (MPM, FC, TL, JBA), pp. 57–70.
- KDD-2010-ChenLB #approach #detection #named #statistics
- GLS-SOD: a generalized local statistical approach for spatial outlier detection (FC, CTL, APB), pp. 1069–1078.
- PDP-2010-LiuYCWZ #identification #towards
- Towards Global State Identification of Nodes in DHT Based Systems (DL, GY, FC, HW, PZ), pp. 271–275.
- ASE-2009-ChenMJR #independence #monitoring #parametricity #performance
- Efficient Formalism-Independent Monitoring of Parametric Properties (FC, POM, DJ, GR), pp. 383–394.
- SEKE-2009-ChenZLLYLGW #approach #development #embedded #ontology
- An Ontology-based Approach to Portable Embedded System Development (FC, HZ, JL, RL, HY, HL, HG, YW), pp. 569–574.
- SEKE-2009-TianCYL #approach #learning #modelling #music #ontology
- An Ontology-based Model Driven Approach for a Music Learning System (YT, FC, HY, LL), pp. 739–744.
- TACAS-2009-ChenR #monitoring #parametricity #slicing
- Parametric Trace Slicing and Monitoring (FC, GR), pp. 246–261.
- VLDB-2009-LeeDCLZ #database #manycore #named
- MCC-DB: Minimizing Cache Conflicts in Multi-core Processors for Databases (RL, XD, FC, QL, XZ), pp. 373–384.
- ASE-2008-MeredithJCR #monitoring #parametricity #performance
- Efficient Monitoring of Parametric Context-Free Patterns (POM, DJ, FC, GR), pp. 148–157.
- CIKM-2008-BoedihardjoLC #data type #framework #probability
- A framework for estimating complex probability density structures in data streams (APB, CTL, FC), pp. 619–628.
- ICSE-2008-ChenSR #analysis #java #named #predict #runtime
- jPredictor: a predictive runtime analysis tool for java (FC, TFS, GR), pp. 221–230.
- CAV-2007-ChenR #parametricity #slicing
- Parametric and Sliced Causality (FC, GR), pp. 240–253.
- OOPSLA-2007-ChenR #framework #named #performance #runtime #verification
- Mop: an efficient and generic runtime verification framework (FC, GR), pp. 569–588.
- ICPR-v1-2006-DuCXL #interactive #network #process #using
- Recognizing Interaction Activities using Dynamic Bayesian Network (YD, FC, WX, YL), pp. 618–621.
- KDD-2006-ZhangCWZ #clustering #concept #identification
- Identifying bridging rules between conceptual clusters (SZ, FC, XW, CZ), pp. 815–820.
- SAS-2006-ChenR #dependence #parametricity
- Parametric and Termination-Sensitive Control Dependence (FC, GR), pp. 387–404.
- SEKE-2005-LiCLY #analysis #design #evolution #feature model #legacy #using
- Using Feature-Oriented Analysis to Recover Legacy Software Design for Software Evolution (SL, FC, ZL, HY), pp. 336–341.
- TACAS-2005-ChenR #java #monitoring #named #programming
- Java-MOP: A Monitoring Oriented Programming Environment for Java (FC, GR), pp. 546–550.
- CAV-2004-FarzanCMR #analysis #formal method #java #source code
- Formal Analysis of Java Programs in JavaFAN (AF, FC, JM, GR), pp. 501–505.
- ASE-2003-RosuC #metric #safety
- Certifying Measurement Unit Safety Polic (GR, FC), pp. 304–309.
- RTA-2003-ChenRV #analysis #rule-based #safety
- Rule-Based Analysis of Dimensional Safety (FC, GR, RPV), pp. 197–207.
- ICSM-2002-WangCMY #evolution #online
- An Application Server to Support Online Evolution (QW, FC, HM, FY), pp. 131–140.