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Travelled to:
1 × Australia
1 × Canada
1 × Denmark
1 × Italy
1 × Japan
1 × Singapore
1 × Spain
1 × Sweden
1 × UK
10 × USA
2 × United Kingdom
3 × China
Collaborated with:
M.Chechik L.G.Shapiro D.P.Woodruff Z.Wang H.Zeng A.Albarghouthi A.Gurfinkel S.Ma H.Lu J.Rubin D.S.Doermann D.Barbará J.Couto A.C.Gilbert E.Porat M.J.Strauss F.Wang S.V.Nguyen T.N.Nguyen S.W.0002 T.H.Tan Z.Wang H.L.Nguyên Y.Zheng J.A.Bilmes Y.Zhu K.Lü A.Das S.K.Lahiri A.Lal C.Hu C.Zhu E.M.Hahn S.Schewe A.Turrini L.Zhang L.Kang J.Kumar P.Ye Z.Kincaid S.Chaki B.Zhang S.Shan X.Chen W.Gao J.Lin S.Jajodia Y.Zou X.Jin Z.Guo E.Wang B.Xiao Z.Fang J.Li W.Zhang H.Chen B.Zang
Talks about:
base (8) imag (5) recognit (4) verif (4) document (3) abstract (3) analysi (3) improv (3) detect (3) optim (3)

Person: Yi Li

DBLP DBLP: Li:Yi

Contributed to:

CAV 20152015
FM 20142014
ICALP (1) 20142014
ICPR 20142014
KDD 20142014
POPL 20142014
STOC 20142014
VLDB 20142014
TACAS 20132013
CAV 20122012
ICPR 20122012
LCTES 20122012
STOC 20102010
ICPR v2 20062006
ICPR v3 20062006
DRR 20042004
ICPR v1 20042004
ICDAR 20032003
SAC 20032003
CIKM 20022002
ICPR v3 20022002
ICEIS 20002000
ICML 20002000
ICPR v3 20002000
ICPR 19981998
ASE 20152015
ASE 20162016
ASE 20192019
OOPSLA 20192019

Wrote 30 papers:

CAV-2015-DasLLL #precise #verification
Angelic Verification: Precise Verification Modulo Unknowns (AD, SKL, AL, YL), pp. 324–342.
FM-2014-HahnLSTZ #model checking #named #probability
iscasMc: A Web-Based Probabilistic Model Checker (EMH, YL, SS, AT, LZ), pp. 312–317.
FM-2014-LiTC #component #requirements
Management of Time Requirements in Component-Based Systems (YL, THT, MC), pp. 399–415.
ICALP-v1-2014-GilbertLPS
For-All Sparse Recovery in Near-Optimal Time (ACG, YL, EP, MJS), pp. 538–550.
ICPR-2014-KangKYLD #classification #documentation #image #network
Convolutional Neural Networks for Document Image Classification (LK, JK, PY, YL, DSD), pp. 3168–3172.
KDD-2014-LiWW #matrix #rank #testing
Improved testing of low rank matrices (YL, ZW, DPW), pp. 691–700.
POPL-2014-LiAKGC #optimisation #smt
Symbolic optimization with SMT solvers (YL, AA, ZK, AG, MC), pp. 607–618.
STOC-2014-LiNW #algorithm #linear #sketching #streaming
Turnstile streaming algorithms might as well be linear sketches (YL, HLN, DPW), pp. 174–183.
VLDB-2014-ZouJLGWX #framework #learning #named #platform
Mariana: Tencent Deep Learning Platform and its Applications (YZ, XJ, YL, ZG, EW, BX), pp. 1772–1777.
TACAS-2013-AlbarghouthiGLCC #abstract interpretation #contest #named #verification
UFO: Verification with Interpolants and Abstract Interpretation — (Competition Contribution) (AA, AG, YL, SC, MC), pp. 637–640.
CAV-2012-AlbarghouthiLGC #framework #named #verification
Ufo: A Framework for Abstraction- and Interpolation-Based Software Verification (AA, YL, AG, MC), pp. 672–678.
ICPR-2012-WangL #estimation #image #kernel #robust
Robust kernel estimation for single image blind deconvolution (FW, YL), pp. 481–484.
LCTES-2012-FangLZLCZ #analysis #multi #predict
Improving dynamic prediction accuracy through multi-level phase analysis (ZF, JL, WZ, YL, HC, BZ), pp. 89–98.
STOC-2010-GilbertLPS #approximate #metric #optimisation
Approximate sparse recovery: optimizing time and measurements (ACG, YL, EP, MJS), pp. 475–484.
ICPR-v2-2006-LiZD #detection #documentation
Detecting Text Lines in Handwritten Documents (YL, YZ, DSD), pp. 1030–1033.
ICPR-v3-2006-LiZSCG #analysis #kernel #performance #recognition
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition (YL, BZ, SS, XC, WG), pp. 523–526.
DRR-2004-LiWZ #adaptation #documentation #image #retrieval
Adaptive color document image binarization for text retrieval (YL, ZW, HZ), pp. 35–44.
ICPR-v1-2004-LiBS #image #recognition #using
Object Class Recognition using Images of Abstract Regions (YL, JAB, LGS), pp. 40–43.
ICDAR-2003-LiWZ #approach #image #statistics #string #using
String Extraction From Color Airline Coupon Image Using Statistical Approach (YL, ZW, HZ), pp. 289–293.
SAC-2003-BarbaraLLJC #data mining #detection #mining
Bootstrapping a Data Mining Intrusion Detection System (DB, YL, JLL, SJ, JC), pp. 421–425.
CIKM-2002-BarbaraLC #algorithm #category theory #clustering #named
COOLCAT: an entropy-based algorithm for categorical clustering (DB, YL, JC), pp. 582–589.
ICPR-v3-2002-LiS #clustering #consistency #recognition
Consistent Line Clusters for Building Recognition in CBIR (YL, LGS), pp. 952–956.
ICEIS-2000-ZhuLL #database #performance #web
Web Databases and Related Performance Issues (YZ, KL, YL), pp. 90–96.
ICML-2000-Li #learning #online
Selective Voting for Perception-like Online Learning (YL), pp. 559–566.
ICPR-v3-2000-HuLML #parametricity #representation
Region Based Parametric Motion Representation (CH, YL, SM, HL), pp. 3869–3872.
ICPR-1998-LiML #estimation #multi #recognition #using
Human posture recognition using multi-scale morphological method and Kalman motion estimation (YL, SM, HL), pp. 175–177.
ASE-2015-LiRC #semantics #slicing #version control
Semantic Slicing of Software Version Histories (T) (YL, JR, MC), pp. 686–696.
ASE-2016-LiZRC #precise #refinement #semantics #slicing
Precise semantic history slicing through dynamic delta refinement (YL, CZ, JR, MC), pp. 495–506.
ASE-2019-NguyenNLW #program analysis #statistics
Combining Program Analysis and Statistical Language Model for Code Statement Completion (SVN, TNN, YL, SW0), pp. 710–721.
OOPSLA-2019-LiWNN #debugging #detection #learning #network #representation
Improving bug detection via context-based code representation learning and attention-based neural networks (YL, SW0, TNN, SVN), p. 30.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.