Çağatay Demiralp  ·  Data Systems + Artificial Intelligence + Human-Computer Interaction
All publications
contact
cagatay@cs.stanford.edu
news
New preprint at arXiv
Dec 1, 2020
New paper at CIDR'21
Oct 14, 2020
New paper at EMNLP'20
Sep 15, 2020
Data2Vis receives the 2019 Best Paper Award from IEEE CG&A
Sep 30, 2020
Two new preprints at arXiv
Sep 3, 2020
New paper at VLDB'20
May 30, 2020
New paper at CHI'20
Jan 13, 2020
New preprint at arXiv
Nov 15, 2019
New paper at KDD'19
Apr 29, 2019
New paper at EuroVis'19
Mar 21, 2019
New paper at CHI'19
Jan 9, 2019
Data2Vis gets Best Paper Honorable Mention at VDS'18
Oct 24, 2018
New paper at CIDR'19
Oct 22, 2018
New paper at VISREG@IEEE VIS'18
Oct 16, 2018
New paper at VisGuides@IEEE VIS'18
Oct 16, 2018
Data2Vis at VDS'18
Sep 25, 2018
Data2Vis at JupyterCon'18
Jul 30, 2018
New paper at IEEE VIS'18 (VAST)
Jul 12, 2018
Two new talks at KDD IDEA'18
Jun 8, 2018
New talk at HILDA'18
Apr 27, 2018
New paper at IEEE TVCG
Apr 18, 2018
Two new preprints at arXiv
Apr 10, 2018
New paper at EuroVis'18
Feb 21, 2018
New demo at CHI'18
Feb 13, 2018
New paper at CHI'18
Jan 8, 2018
Interactive variational autoencoder sampler on github
Dec 26, 2017
Two new papers at VIS'17 DSIA
Dec 26, 2017
Two new papers at KDD'17 IDEA
Jun 23, 2017
New paper at VLDB'17
May 4, 2017
upcoming talks & travel
VLDB'20 Tokyo
Aug 31-Sep 4, 2020
CHI'20 Honolulu,HI
Apr 25-30, 2020
EMNLP'19 Hong Kong
Nov 2-9, 2019
tweets
I’m now Chief Research Scientist at Sigma Computing. Previously, I was a senior research scientist at Megagon Labs, a visiting researcher with the data systems group at MIT CSAIL, and a research staff member at IBM Research. Between 2012-2014, I was a postdoctoral scholar at Stanford and member of IDL at the University of Washington. I obtained my PhD from Brown University and also co-founded Fitnescity, a startup providing easy access and data analytics for wellness lab tests.
My current research focuses on solving problems at the intersection of Data Systems + Artificial Intelligence + Human-Computer Interaction at scale.
selected publications
Sigma Worksheet: Interactive Construction of OLAP Queries.
S. Gale, M. Seiden, Ç. Demiralp
arXiv preprint, 2020.
pdf · video · bibtex
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions.
S. Evensen, C. Ge, D. Choi, Ç. Demiralp
arXiv preprint, 2020 · Findings of EMNLP (Ruler), 2020.
pdf · video (Ruler) · code (Ruler) · bibtex
Leam: An Interactive System for In-situ Visual Text Analysis.
S. Rahman, P. Griggs, Ç. Demiralp
arXiv preprint, 2020 · CIDR, 2021.
pdf · code · bibtex
Sato: Contextual Semantic Type Detection in Tables.
D. Zhang, Y. Suhara, J. Li, M. Hulsebos, Ç. Demiralp, W-C. Tan
arXiv preprint, 2019 · VLDB, 2020.
pdf · code · blog · bibtex
Teddy: A System for Interactive Review Analysis.
X. Zhang, J. Engel, S. Evensen, Y. Li, Ç. Demiralp, W-C. Tan
CHI, 2020.
pdf · video · code · blog · bibtex
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
M. Hulsebos, K. Hu, M. Bakker, E. Zgraggen, A. Satyanarayan, T. Kraska, Ç. Demiralp, C. Hidalgo
KDD, 2019.
pdf · video · code · blog · bibtex
Kyrix: Interactive Pan/Zoom Visualizations at Scale.
W. Tao, X. Liu, L. Battle, Ç. Demiralp, R. Chang, M. Stonebraker
EuroVis, 2019.
pdf · video · code · bibtex
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
K. Hu, N. Gaikwad, M. Bakker, M. Hulsebos, E. Zgraggen, C. Hidalgo, T. Kraska, G. Li, A. Satyanarayan, Ç. Demiralp
CHI, 2019.
pdf · video · code · bibtex
Kyrix: Interactive Visual Data Exploration at Scale.
W. Tao, X. Liu, Ç. Demiralp, R. Chang, M. Stonebraker
CIDR, 2019.
pdf · video · code · bibtex
Clustrophile 2: Guided Visual Clustering Analysis.
M. Cavallo, Ç. Demiralp
IEEE TVCG (Proc. VAST), 2019.
pdf · video · bibtex
Task-Based Effectiveness of Basic Visualizations.
B. Saket, A. Endert, Ç. Demiralp
IEEE TVCG, 2018.
pdf · code · bibtex · will be presented at the InfoVis track of IEEE VIS'18
Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks.
V. Dibia, Ç. Demiralp
arXiv preprint, 2018.
pdf · software · code · bibtex · VDS'18 Best Paper Honorable Mention · IEEE CG&A 2019 Best Paper
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration.
M. Cavallo, Ç. Demiralp
CHI, 2018.
pdf · supplement · big picture · video (17s) · video (5m) · bibtex
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.
M. Cavallo, Ç. Demiralp
EuroVis, 2018.
pdf · video · bibtex
Foresight: Recommending Visual Insights.
Ç. Demiralp, P. Haas, S. Parthasarathy, T. Pedapati
VLDB & KDD IDEA, 2017.
pdf · bibtex
Foresight: Rapid Data Exploration Through Guideposts.
Ç. Demiralp, P. Haas, S. Parthasarathy, T. Pedapati
IEEE VIS DSIA, 2017.
pdf · bibtex
Task-Based Effectiveness of Basic Visualizations.
B. Saket, A. Endert, Ç. Demiralp
arXiv preprint, 2017.
pdf · code · bibtex
Sampling for Scalable Visual Analytics.
B. C. Kwon, J. Verma, P. Haas, Ç. Demiralp
IEEE CG&A 2017.
pdf · bibtex
Exploring Dimensionality Reductions with Forward and Backward Projections.
M. Cavallo, Ç. Demiralp
KDD IDEA, 2017.
pdf · video · bibtex
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions.
M. Cavallo, Ç. Demiralp
IEEE VIS DSIA, 2017.
pdf · video · bibtex
Clustrophile: A Tool for Visual Clustering Analysis.
Ç. Demiralp
KDD IDEA, 2016.
pdf · video · bibtex
The VERP Explorer: A Tool for Exploring Eye Movements of Visual-Cognitive Tasks Using Recurrence Plots.
Ç. Demiralp, J. Cirimele, J. Heer, S. K. Card,
IEEE Vis ETVIS, 2015 & Chapter in Eye Tracking and Visualization, 2017.
pdf · video · code · bibtex
Perceptual Kernels for Visualization Design.
Ç. Demiralp, M. Bernstein, J. Heer
IEEE TVCG (Proc. InfoVis), 2014.
pdf · video · code · bibtex · Among Top 4 TVCG Papers Invited to SIGGRAPH'15
Visual Embedding: A Model for Visualization.
Ç. Demiralp, C. E. Scheiddegger, G. L. Kindlmann, D. H. Laidlaw, J. Heer
IEEE Computer Graphics and Applications, 2014.
pdf · code · bibtex
invis: Exploring High-dimensional Sequence Space from In Vitro Selection.
Ç. Demiralp, E. Hayden, J. Hammerbacher, J. Heer
IEEE Symposium on Biological Data Visualization, 2013.
pdf · video · code · bibtex
Exploring Brain Connectivity with Two-dimensional Neural Maps.
R. Jianu, Ç. Demiralp, D. H. Laidlaw
IEEE Transactions on Visualization and Computer Graphics, 2012.
pdf · video · software · bibtex
Decision Forests for Tissue-specific Segmentation of High-grade Gliomas in Multi-channel MR.
D. Zikic, B. Glocker, E. Konukoglu, A. Criminisi, Ç. Demiralp, J. Shatton, O. Thomas, T. Das, R. Jena, S. Price
MICCAI, 2012.
pdf · video(alt) · bibtex
Generalizing Diffusion Tensor Model Using Probabilistic Inference in Markov Random Fields.
Ç. Demiralp, D. H. Laidlaw
MICCAI Workshop on Computational Diffusion MRI (CDMRI), 2011.
pdf · bibtex
Tract-based Probability Densities of Diffusivity Measures in DT-MRI.
Ç. Demiralp, D. H. Laidlaw
MICCAI, 2010.
pdf · bibtex
Surface Deformations Driven by Vector-Valued 1-Forms.
G. Taubin, Ç. Demiralp
Shape Modeling International, 2010.
pdf · bibtex
Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion.
Ç. Demiralp, J. F. Hughes, D. H. Laidlaw
IEEE Transactions on Visualization and Computer Graphics (Proceedings of SciVis), 2009.
pdf · video · code · bibtex
Exploring 3D DTI Fiber-tracts with Linked 2D representations.
R. Jianu, Ç. Demiralp, D. H. Laidlaw.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of SciVis), 2009.
pdf · video · software · bibtex
Similarity Coloring of DTI fiber tracts.
Ç. Demiralp and D. H. Laidlaw
MICCAI DMFC Workshop 2009.
pdf · bibtex
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves.
Ç. Demiralp, G. Shakhnarovich, S. Zhang, D. H. Laidlaw.
MICCAI 2008.
pdf · bibtex
CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison.
Ç. Demiralp, C. Jackson, D. Karelitz, S. Zhang, D. H. Laidlaw.
IEEE Transactions on Visualization and Computer Graphics, 2006.
pdf · bibtex