Publications

KDD 2013 Workshop on Mining and Learning with Graphs

CVPR 2011 Workshop on Inference in Graphical Models with Structured Potentials


"Don't have a quote on your website, it looks unprofessional"

Aditya Parameswaran

News

3/2014: Tech talk @ Technicolor

1/2014: Upcoming papers accepted to TKDD, WWW, and WSDM

9/2013: My submission to the Yelp Challenge won a grand prize!

9/2013: I'll finish my postdoc in August 2014, so I am currently seeking academic and research positions. My application page contains my CV, research statement, and teaching statement. Please contact me if your department is hiring!

Coverage

Media

Business Insider "Scientists demonstrate that beer geeks have great taste"

Business Insider "The next time you're with a beer geek, order a strong ale"

Business Insider "The real reason experienced drinkers love hoppy beers"

Grand Rapids Business Journal "Analyzing beer reviews reduced to a science"

New Scientist "Things that make a meme explode"

Time "How to succeed on reddit"

Forbes "How to craft the perfect reddit posting"

The Verge "The math behind successful reddit submissions"

Phys.org "Stanford trio explore success formula for reddit posts"

Business Insider "How to execute the perfect reddit submission"

Business Insider "How a title can sink or float a piece of content"

Gizmodo "This equation can tell you how successful a reddit post will be"

Geekosystem "The recipe for reddit success"

International Business Times "The secret to what makes something go viral"

Slate (French) "Les titres qui marchent sur reddit"

DailyDot "Fancypants researchers cracked the greatest mystery of all time"

htxt.africa "Stanford geniuses applied the scientific method"

MIT Tech Review "Algorithm predicts circles of friends using contacts data"

Wired "Algorithm can know your friendship circles better than you do"

Blogs etc.

Drinking Made Easy "Beer experts prefer strong ales"

104.3 K-Hits Chicago "This is serious business, people: serious beer business"

Beer Street Journal "Helping beer geeks better understand themselves"

Brookston Beer Bulletin "The difference between novices and experts"

Big Sustainability Data "How acquired expertise influences ratings"

Veja (Portuguese) "Geeks também bebem"

O Povo (Portuguese) "Gosto não se discute"

Brando (Spanish) "¿Qué tan experto sos en cervezas?"

GigaOM "How to maximize your reddit upvotes, by the numbers"

Girl Guides "Science, and the best ways to get on reddit’s front page"

ACM TechNews "Stanford trio explore success formula for reddit posts"

The Connectivist "Social media: science not art"

Adventures in Capitalism "Three scientific rules for writing viral headlines"

StartupBook "How to create the ultimate viral reddit post"

Piilaakso (Finnish) "Mitä löytyy, kun analysoidaan viisi miljoonaa olutarviota?"

EdLab "Should we recommend right or recommend smart?"

Conference Papers

2014

Finding progression stages in time-evolving event sequences
J. Yang, J. McAuley, J. Leskovec, P. LePendu, N. Shah
World Wide Web
link | bibtex | data

Detecting cohesive and 2-mode communities in directed and undirected networks
J. Yang, J. McAuley, J. Leskovec
Web Search and Data Mining
link | bibtex | code (C++) | data

2013

Hidden factors and hidden topics: understanding rating dimensions with review text
J. McAuley, J. Leskovec
RecSys
link | bibtex | code (C++) | data | slides

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
J. McAuley, J. Leskovec
World Wide Web
link | bibtex | code (C++) | data | slides

Understanding the interplay between titles, content, and communities in social media
H. Lakkaraju, J. McAuley, J. Leskovec
International Conference on Weblogs and Social Media
link | bibtex | data | slides

Community detection in networks with node attributes
J. Yang, J. McAuley, J. Leskovec
International Conference on Data Mining
link | bibtex | code (C++) | data

2012

Learning to discover social circles in ego networks
J. McAuley, J. Leskovec
Neural Information Processing Systems
link | bibtex | code (C++) | data | poster | Kaggle

Learning attitudes and attributes from multi-aspect reviews
J. McAuley, J. Leskovec, D. Jurafsky
International Conference on Data Mining
link | bibtex | code (C++) | data | slides

Image labeling on a network: using social-network metadata for image classification
J. McAuley, J. Leskovec
European Conference on Computer Vision
link | bibtex | code (C++) | data | poster

2011

Optimization of robust loss functions for weakly-labeled image taxonomies: an ImageNet case study
J. McAuley, A. Ramisa, T. Caetano
Energy Minimization Methods in Computer Vision and Pattern Recognition
link | bibtex | code (C++) | data | slides

2010

Exploiting data-independence for fast belief-propagation
J. McAuley, T. Caetano
International Conference on Machine Learning
link | bibtex | code (C++) | poster

Unified graph matching in Euclidean spaces
J. McAuley, T. de Campos, T. Caetano
Computer Vision and Pattern Recognition
link | bibtex | code (C++) | data | poster

Exploiting within-clique factorizations in junction-tree algorithms
J. McAuley, T. Caetano
Artificial Intelligence and Statistics
link | bibtex | code (C++) | poster

2009

Exponential family graph matching and ranking
J. Petterson, T. Caetano, J. McAuley, J. Yu
Neural Information Processing Systems
link | bibtex | code (C++) | poster

Hierarchical image-region labeling via structured learning
J. McAuley, T. de Campos, G. Csurka, F. Perronnin
British Machine Vision Conference
link | bibtex | code (C++) | poster

Shape classification through structured learning of matching measures
L. Chen, J. McAuley, R. Feris, T. Caetano, M. Turk
Computer Vision and Pattern Recognition
link | bibtex | code (C++) | poster

2008

Robust near-isometric matching via structured learning of graphical models
J. McAuley, T. Caetano, A. Smola
Neural Information Processing Systems
link | bibtex | code (C++) | data | poster

2006

Learning high-order MRF priors of color images
J. McAuley, T. Caetano, A. Smola, M. Franz
International Conference on Machine Learning
link | bibtex | code (C/Matlab) | poster

Journal Papers

2014

Discovering social circles in ego networks
J. McAuley, J. Leskovec
ACM Transactions on Knowledge Discovery from Data
link | bibtex | code (C++) | data | Kaggle

2012

Optimization of robust loss functions for weakly-labeled image taxonomies
J. McAuley, A. Ramisa, T. Caetano
International Journal of Computer Vision
link | bibtex | code (C++) | data

Fast matching of large point sets under occlusions
J. McAuley, T. Caetano
Pattern Recognition
link | bibtex | code (C++) | data

2011

Faster algorithms for max-product message-passing
J. McAuley, T. Caetano
Journal of Machine Learning Research
link | bibtex | code (C++)

Fast inference with min-sum matrix product
P. Felzenszwalb, J. McAuley
IEEE Transactions on Pattern Analysis and Machine Intelligence
link | bibtex | code (C++)

2009

Learning graph matching
T. Caetano, J. McAuley, L. Cheng, Q. Le, A. Smola
IEEE Transactions on Pattern Analysis and Machine Intelligence
link | bibtex | code (C++) | data

Faster graphical models for point-pattern matching
T. Caetano, J. McAuley
Spatial Vision (by invitation)
link | bibtex | code (C++) | data

2008

Graph rigidity, cyclic belief propagation and point pattern matching
J. McAuley, T. Caetano, M. Barbosa
IEEE Transactions on Pattern Analysis and Machine Intelligence
link | bibtex | code (C++) | data

2007

The rich-club phenomenon across complex network hierarchies
J. McAuley, T. Caetano, L. da Fontoura Costa
Applied Physics Letters
link | bibtex | code (C++)

Workshops

2012

Learning to discover social circles in ego networks
J. McAuley, J. Leskovec
NIPS Workshop on Social Network and Social Media Analysis
link

2010

Learning near-isometric matching models
J. McAuley, T. Caetano
ICML Workshop on Learning in Non-(geo)metric Spaces
link | poster

Exact inference in graphical models: is there more to it?
J. McAuley, T. Caetano
NIPS Workshop on Learning with Orderings; Learning and Intelligent Optimization
link | slides

2009

Exploiting within-clique factorizations in junction-tree algorithms
J. McAuley, T. Caetano
NIPS Workshop on Discrete Optimization in Machine Learning
link | poster

2008

Consistent structured estimation for weighted bipartite matching
J. Petterson, T. Caetano, J. McAuley
NIPS Workshop on Algebraic and Combinatorial Methods in Machine Learning
link | slides

Book Chapters

2010

Graphical models
J. McAuley, T. Caetano, W. Buntine
Encyclopedia of Machine Learning (C. Sammut and G. Webb, editors)
link

Patents

2011

Unified graph matching in Euclidean spaces and applications to image comparison and retrieval
J. McAuley, T. de Campos
U.S. Patent Application 12/571,630
link

Consistent hierarchical labeling of images and image regions
J. McAuley, T. de Campos, G. Csurka, F. Perronnin
U.S. Patent Application 12/546,948
link