Real science. Now in real time.
Julian McAuley
Associate Professor
Room 4102 Computer Science Department @ UCSD
e-mail: ude.dscu.gne@yeluacmj
New: Amazon 2018 dataset
We've put together a new version of our Amazon data, including more reviews and additional metadata
New: Advice to Prospective Students
If you are considering internships, PhD applications, or project work, please read this advice first before contacting me about joining my lab
New: Advice to Students Requesting Reference Letters
New: Repository of Recommender Systems Datasets
A collection of datasets for recommender systems research is now available on our lab's dataset webpage
News
3/2021: Papers with Bodhi, Sudha, Michel, Canwen, Chunshu, Tao, Ke Xu, and Furu accepted to NAACL 2021
2/2021: Article about Bodhi and Shuyang's QIF fellowship
2/2021: Some news about our work on deepfake detectors: Newswise, SciTechDaily
1/2021: Selected for Salesforce AI research grant!
1/2021: Paper w/ Shuyang, Jin, Mukund, Henghui, Shang-Wen, and Wael accepted to EACL 2021
11/2020: Paper w/ Shehzeen, Paarth, Malhar, and Farinaz accepted to WACV 2021
9/2020: Paper with Chunshu, Canwen, Tao, Ke, and Furu accepted to Neurips 2020
9/2020: I will be program co-chair (with Joe Konstan) of RecSys 2021
9/2020: Papers with Bodhi, Harsh, Taylor, Shuyang, Jianmo, Chun-Nan, and Amilcare accepted to EMNLP 2020
7/2020: Article about recipes w/ Shuyang published in Harvard Data Science Review (pdf)
7/2020: Paper w/ Henry, Shuyang, and Gary accepted to Interspeech 2020
7/2020: Selected for funding by Facebook Research
7/2020: Paper with Herman, Ke, and Taylor accepted to ISMIR 2020
6/2020: Paper with Adrian, Beth, and Leo accepted to ICER 2020
4/2020: Paper with Noveen accepted to SIGIR 2020
4/2020: Some media about our recipe generation paper: Science Node
Acknowledgements
My lab is currently supported by an NSF CAREER Award (#1750063). My lab is also supported by generous gifts from Salesforce, Facebook, Qualcomm, Intuit, Adobe, Samsung, Flipkart, Amazon, Symantec, and Nvidia.
Publications
2021
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Ask what's missing and what's useful: Improving clarification question generation using global knowledge Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian McAuley North American Chapter of the Association for Computational Linguistics (NAACL) reviews | bibtex |
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Blow the Dog Whistle: A Chinese dataset for cant understanding with common sense and world knowledge
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei
North American Chapter of the Association for Computational Linguistics (NAACL)
reviews |
bibtex
WaveGuard: Understanding and mitigating audio adversarial examples
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar
USENIX Security Symposium
bibtex
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Zero-shot generalization in dialog state tracking through generative question answering Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian McAuley European Chapter of the Association for Computational Linguistics (EACL) pdf | reviews | bibtex |
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Adversarial Deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples
Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian McAuley
Winter Conference on Applications of Computer Vision (WACV)
pdf |
reviews |
bibtex
Application of machine learning to understand child marriage in India
Anita Raj, Nabamallika Dehingia, Abhishek Singh, Lotus McDougal, Julian McAuley
Population Health
pdf |
reviews |
bibtex
2020
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BERT loses patience: Fast and robust inference with early exit Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian McAuley, Ke Xu, Furu Wei Neural Information Processing Systems (NeurIPS) pdf | reviews | bibtex |
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Like hiking? You probably enjoy nature: Persona-grounded dialog with commonsense expansions
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf |
reviews |
bibtex
Interview: Large-scale modeling of media dialog with discourse patterns and knowledge grounding
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf |
reviews |
bibtex
Learning visual-semantic embeddings for reporting abnormal findings on chest X-rays
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian McAuley
Findings of EMNLP
pdf |
reviews |
bibtex
Speech recognition and multi-speaker diarization of long conversations
Henry Mao, Shuyang Li, Julian McAuley, Garrison Cottrell
Interspeech
pdf |
reviews |
bibtex
MusPy: A toolkit for symbolic music generation
Hao-Wen Dong, Ke Chen, Julian McAuley, Taylor Berg-Kirkpatrick
International Society for Music Information Retrieval Conference (ISMIR)
pdf |
reviews |
bibtex |
code (Python)
A longitudinal evaluation of a best-practices CS1
Adrian Salguero, Julian McAuley, Beth Simon and Leo Porter
International Computing Education Research Conference (ICER)
pdf |
reviews |
bibtex
How useful are reviews for recommendation? A critical review and potential improvements
Noveen Sachdeva, Julian McAuley
SIGIR
pdf |
reviews |
bibtex |
code (Python)
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Attentive sequential models of latent intent for next item recommendation Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian McAuley World Wide Web (WWW) pdf | reviews | bibtex |
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Addressing marketing bias in product recommendations
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley
Web Search and Data Mining (WSDM)
pdf |
reviews |
bibtex |
code (Python)
Time interval aware self-attention for sequential recommendation
Jiacheng Li, Yujie Wang, Julian McAuley
Web Search and Data Mining (WSDM)
pdf |
reviews |
bibtex |
code (Python)
Stacked mixed-order graph convolutional networks for collaborative filtering
Hengrui Zhang, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf |
reviews |
bibtex |
code (Tensorflow)
The performance of an artificial neural network model in predicting the early distribution kinetics of propofol in morbidly obese and lean subjects
Jerry Ingrande, Rodney Gabriel, Julian McAuley, Karolina Krasinska, Allis Chien, Hendrikus Lemmens
Anesthesia and Analgesia
pdf |
reviews |
bibtex
2019
Justifying recommendations using distantly-labeled reviews and fined-grained aspects
Jianmo Ni, Jiacheng Li, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf |
reviews |
bibtex |
code (PyTorch)
Scalable and accurate dialogue state tracking via hierarchical sequence generation
Liliang Ren, Jianmo Ni, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf |
reviews |
bibtex |
code (Python)
Generating personalized recipes from historical user preferences
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
Empirical Methods in Natural Language Processing (EMNLP)
pdf |
reviews |
bibtex |
code (Python)
Improving neural story generation by targeted common sense grounding
Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison Cottrell
Empirical Methods in Natural Language Processing (EMNLP)
pdf |
reviews |
bibtex |
code (Python)
Candidate generation with binary codes for large-scale Top-N recommendation
Wang-Cheng Kang, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf |
reviews |
bibtex |
code (Python)
2D Convolutional neural networks for sequential recommendation
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf |
reviews |
bibtex |
code (Python)
Expediting TTS synthesis with adversarial vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, Julian McAuley
Interspeech
pdf |
reviews |
bibtex
Universal adversarial perturbations for speech recognition systems
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar
Interspeech
pdf |
reviews |
bibtex
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary Lipton
Machine Learning for Health Care (MLHC)
pdf |
reviews |
bibtex
Improving multi-instrumental music generation with cross-domain pre-training
Chris Donahue, Henry Mao, Yiting Li, Garrison Cottrell, Julian McAuley
International Society for Music Information Retrieval Conference (ISMIR)
pdf |
reviews |
bibtex
Fine-grained spoiler detection from large-scale review corpora
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf |
reviews |
bibtex |
data
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Complete the Look: Scene-based complementary product recommendation Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley Computer Vision and Pattern Recognition (CVPR) pdf | reviews | bibtex | data |
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Learning to attend on essential terms: An enhanced retriever-reader model for open-domain question answering Jianmo Ni, Chenguang Zhu, Weizhu Chen and Julian McAuley North American Chapter of the Association for Computational Linguistics (NAACL) pdf | reviews | bibtex | code (Python) |
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Modeling heart rate and activity data for personalized fitness recommendation
Jianmo Ni, Larry Muhlstein, Julian McAuley
World Wide Web (WWW)
pdf |
reviews |
bibtex |
code (Python) |
data
Adversarial audio synthesis
Chris Donahue, Julian McAuley, Miller Puckette
International Conference on Learning Representations (ICLR)
pdf |
reviews |
bibtex
Generating visually-aware item recommendations using a personalized preference ranking network
Chen Fang, Zhaowen Wang, Wang-Cheng Kang, Julian McAuley
U.S. Patent Application 15/897,822
pdf
Generating user-customized items using a visually-aware image generation network
Chen Fang, Zhaowen Wang, Wang-Cheng Kang, Julian McAuley
U.S. Patent Application 15/897,856
pdf
2018
Does mitigating ML's impact disparity require treatment disparity?
Zachary Lipton, Alexandra Chouldechova, Julian McAuley
Neural Information Processing Systems (NIPS)
pdf |
reviews |
bibtex |
code
Self-attentive sequential recommendation
Wang-Cheng Kang, Julian McAuley
International Conference on Data Mining (ICDM)
pdf |
reviews |
bibtex |
code (Python)
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Representing and recommending shopping baskets with complementarity, compatibility, and loyalty Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley Conference on Information and Knowledge Management (CIKM) pdf | reviews | bibtex |
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Recommendation through mixtures of heterogeneous item relationships
Wang-Cheng Kang, Mengting Wan, Julian McAuley
Conference on Information and Knowledge Management (CIKM)
pdf |
reviews |
bibtex |
code (Python)
Translation-based factorization machines for sequential recommendation
Rajiv Pasricha, Julian McAuley
RecSys
pdf |
reviews |
bibtex |
code (Python)
Item recommendation on monotonic behavior chains
Mengting Wan, Julian McAuley
RecSys
pdf |
reviews |
bibtex |
code (Python) |
data
Learning consumer and producer embeddings for user-generated content recommendation
Wang-Cheng Kang, Julian McAuley
RecSys
pdf |
reviews |
bibtex |
code (Python)
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Learning within-session budgets from browsing trajectories Diane Hu, Raphael Louca, Liangjie Hong, Julian McAuley RecSys pdf | reviews | bibtex |
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Decomposing fit semantics for product size recommendation in metric spaces
Rishabh Misra, Mengting Wan, Julian McAuley
RecSys
pdf |
reviews |
bibtex |
code (Python) |
data
The NES Music Database: A symbolic music dataset with expressive performance attributes
Chris Donahue, Henry Mao, Julian McAuley
International Society for Music Information Retrieval Conference (ISMIR)
pdf |
reviews |
bibtex |
code (Python) |
data
Translation-based recommendation: A scalable method for modeling sequential behavior
Ruining He, Wang-Cheng Kang, Julian McAuley
IJCAI Sister Conference (Best Paper Track)
pdf |
reviews |
bibtex |
code (C++) |
data
Personalized review generation by expanding phrases and attending on aspect-aware representations
Jianmo Ni, Julian McAuley
Annual Meeting of the Association for Computational Linguistics (ACL)
pdf |
reviews |
bibtex
Semantically decomposing the latent spaces of Generative Adversarial Networks
Chris Donahue, Zachary Lipton, Akshay Balsubramani, Julian McAuley
International Conference on Learning Representations (ICLR)
pdf |
reviews |
bibtex |
code (Python) |
data
One-class recommendation with asymmetric textual feedback
Mengting Wan, Julian McAuley
SIAM International Conference on Data Mining (SDM)
pdf |
reviews |
bibtex
Transferrable semi-automated semantic metadata normalization using an intermediate representation
Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian McAuley, Rajesh Gupta, Yuvraj Agarwal
BuildSys
pdf |
reviews |
bibtex
Identifying and characterizing highly similar notes in big clinical note datasets
Rodney Gabriel, Tsung-Ting Kuo, Julian McAuley, Chun-Nan Hsu
Journal of Biomedical Informatics (JBI)
pdf |
reviews |
bibtex
2017
Predicting surgery duration with neural heteroscedastic regression
Nathan Ng, Rodney Gabriel, Julian McAuley, Charles Elkan, Zachary Lipton
Machine Learning for Health Care (MLHC)
pdf |
reviews |
bibtex
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Visually-aware fashion recommendation and design with generative image models Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley International Conference on Data Mining (ICDM) pdf | reviews | bibtex | code (Python) | data |
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Estimating reactions and recommending products with generative models of reviews
Jianmo Ni, Zachary Lipton, Sharad Vikram, Julian McAuley
International Joint Conference on Natural Language Processing (IJCNLP)
pdf |
reviews |
bibtex
Translation-based recommendation
Ruining He, Wang-Cheng Kang, Julian McAuley
RecSys (best paper runner-up)
pdf |
reviews |
bibtex |
code (C++) |
data |
questions
Dance Dance Convolution
Chris Donahue, Zachary Lipton, Julian McAuley
International Conference on Machine Learning (ICML)
pdf |
reviews |
bibtex |
code (Python) |
data
SPMC: Socially-aware personalized Markov chains for sparse sequential recommendation
Chenwei Cai, Ruining He, Julian McAuley
International Joint Conference on Artificial Intelligence (IJCAI)
pdf |
reviews |
bibtex |
code (C++)
Dynamic programming bipartite belief propagation for hyper graph matching
Zhen Zhang, Julian McAuley, Yong Li, Wei Wei, Yanning Zhang, Javen Shi
International Joint Conference on Artificial Intelligence (IJCAI)
pdf |
reviews |
bibtex
Improving recommendation accuracy using networks of substitutable and complementary products
Tong Zhao, Julian McAuley, Mengya Li, Irwin King
International Joint Conference on Neural Networks
pdf |
reviews |
bibtex
Generating and personalizing bundle recommendations on Steam
Apurva Pathak, Kshitiz Gupta, Julian McAuley
SIGIR
pdf |
reviews |
bibtex |
code (Python) |
data
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Modeling consumer preferences and price sensitivities from large-scale grocery shopping transaction logs Mengting Wan, Di Wang, Matt Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian McAuley World Wide Web (WWW) pdf | reviews | bibtex | code (Python) |
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Bartering books to beers: A recommender system for exchange platforms
Jérémie Rappaz, Maria-Luiza Vladarean, Julian McAuley, Michele Catasta
Web Search and Data Mining (WSDM)
pdf |
reviews |
bibtex |
code (Matlab) |
data
Solving constrained combinatorial optimization problems via MAP inference without high-order penalties
Zhen Zhang, Javen Shi, Julian McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel
AAAI Conference on Artificial Intelligence (AAAI)
pdf |
reviews |
bibtex
2016
Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems
Mengting Wan, Julian McAuley
International Conference on Data Mining (ICDM)
pdf |
reviews |
bibtex |
data
Learning compatibility across categories for heterogeneous item recommendation
Ruining He, Charles Packer, Julian McAuley
International Conference on Data Mining (ICDM)
pdf |
reviews |
bibtex |
code (C++) |
data
Fusing similarity models with Markov chains for sparse sequential recommendation
Ruining He, Julian McAuley
International Conference on Data Mining (ICDM)
pdf |
reviews |
bibtex |
code (C++)
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Vista: A visually, socially, and temporally-aware model for artistic recommendation Ruining He, Chen Fang, Zhaowen Wang, Julian McAuley RecSys pdf | reviews | bibtex | code (C++) | data |
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Addressing complex and subjective product-related queries with customer reviews
Julian McAuley, Alex Yang
World Wide Web (WWW)
pdf |
reviews |
bibtex |
code (C++) |
data
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
Ruining He, Julian McAuley
World Wide Web (WWW)
pdf |
reviews |
bibtex |
code (C++) |
data
VBPR: Visual bayesian personalized ranking from implicit feedback
Ruining He, Julian McAuley
AAAI Conference on Artificial Intelligence (AAAI)
pdf |
reviews |
bibtex |
code (C++) |
data
Pairwise matching through max-weight bipartite belief propagation
Zhen Zhang, Javen Shi, Julian McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel
Computer Vision and Pattern Recognition (CVPR)
pdf |
reviews |
bibtex |
code (Matlab)
Sparse hierarchical embeddings for visually-aware one-class collaborative filtering
Ruining He, Chunbin Lin, Jianguo Wang, Julian McAuley
International Joint Conference on Artificial Intelligence (IJCAI)
pdf |
reviews |
bibtex |
code (C++) |
data
2015
Learning visual clothing style with heterogeneous dyadic co-occurrences
Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie
International Conference on Computer Vision (ICCV)
pdf |
reviews |
bibtex
Image-based recommendations on styles and substitutes
Julian McAuley, Christopher Targett, Javen Shi, Anton van den Hengel
SIGIR
pdf |
reviews |
bibtex |
code (C++) |
data |
slides |
questions
Inferring networks of substitutable and complementary products
Julian McAuley, Rahul Pandey, Jure Leskovec
Knowledge Discovery and Data Mining (KDD)
pdf |
reviews |
bibtex |
code (C++) |
data |
poster |
questions
Top-N recommendation with missing implicit feedback
Daryl Lim, Julian McAuley, Gert Lanckriet
RecSys
pdf |
reviews |
bibtex |
poster
Improving latent factor models via personalized feature projection for one-class recommendation
Tong Zhao, Julian McAuley, Irwin King
Conference on Information and Knowledge Management (CIKM)
pdf |
reviews |
bibtex
2014
Leveraging social connections to improve personalized ranking for collaborative filtering
Tong Zhao, Julian McAuley, Irwin King
Conference on Information and Knowledge Management (CIKM)
pdf |
reviews |
bibtex
Finding progression stages in time-evolving event sequences
Jaewon Yang, Julian McAuley, Jure Leskovec, Paea LePendu, Nigam Shah
World Wide Web (WWW)
pdf |
reviews |
bibtex |
code (C++) |
data
Detecting cohesive and 2-mode communities in directed and undirected networks
Jaewon Yang, Julian McAuley, Jure Leskovec
Web Search and Data Mining (WSDM)
pdf |
reviews |
bibtex |
code (C++) |
data
Discovering social circles in ego networks
Julian McAuley, Jure Leskovec
ACM Transactions on Knowledge Discovery from Data (TKDD)
pdf |
reviews |
bibtex |
code (C++) |
data |
Kaggle |
Kaggle data |
questions
2013
Hidden factors and hidden topics: Understanding rating dimensions with review text
Julian McAuley, Jure Leskovec
RecSys
pdf |
reviews |
bibtex |
code (C++) |
data |
slides |
questions
From amateurs to connoisseurs: Modeling the evolution of user expertise through online reviews
Julian McAuley, Jure Leskovec
World Wide Web (WWW)
pdf |
reviews |
bibtex |
code (C++) |
data |
slides
Understanding the interplay between titles, content, and communities in social media
Himabindu Lakkaraju, Julian McAuley, Jure Leskovec
International Conference on Weblogs and Social Media (ICWSM)
pdf |
reviews |
bibtex |
data |
slides
Community detection in networks with node attributes
Jaewon Yang, Julian McAuley, Jure Leskovec
International Conference on Data Mining (ICDM)
pdf |
reviews |
bibtex |
code (C++) |
data
2012
Learning to discover social circles in ego networks
Julian McAuley, Jure Leskovec
Neural Information Processing Systems (NIPS)
pdf |
reviews |
bibtex |
code (C++) |
data |
poster |
Kaggle |
Kaggle data |
questions
Learning attitudes and attributes from multi-aspect reviews
Julian McAuley, Jure Leskovec, Dan Jurafsky
International Conference on Data Mining (ICDM)
pdf |
reviews |
bibtex |
code (C++) |
data |
slides
Image labeling on a network: Using social-network metadata for image classification
Julian McAuley, Jure Leskovec
European Conference on Computer Vision (ECCV)
pdf |
reviews |
bibtex |
code (C++) |
data |
poster |
questions
Optimization of robust loss functions for weakly-labeled image taxonomies
Julian McAuley, Arnau Ramisa, Tiberio Caetano
International Journal of Computer Vision (IJCV)
pdf |
reviews |
bibtex |
code (C++) |
questions
Fast matching of large point sets under occlusions
Julian McAuley, Tiberio Caetano
Pattern Recognition
pdf |
reviews |
bibtex |
code (C++) |
data
2011
Optimization of robust loss functions for weakly-labeled image taxonomies: An ImageNet case study
Julian McAuley, Arnau Ramisa, Tiberio Caetano
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)
pdf |
reviews |
bibtex |
code (C++) |
slides
Faster algorithms for max-product message-passing
Julian McAuley, Tiberio Caetano
Journal of Machine Learning Research (JMLR)
pdf |
reviews |
bibtex |
code (C++)
Fast inference with min-sum matrix product
Pedro Felzenszwalb, Julian McAuley
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf |
reviews |
bibtex |
code (C++)
Unified graph matching in Euclidean spaces and applications to image comparison and retrieval
Julian McAuley, Teofilo de Campos
U.S. Patent 8,407,029
link
Consistent hierarchical labeling of images and image regions
Julian McAuley, Teofilo de Campos, Gabriela Csurka, Florent Perronnin
U.S. Patent 9,355,337
link
2010
Exploiting data-independence for fast belief-propagation
Julian McAuley, Tiberio Caetano
International Conference on Machine Learning (ICML)
pdf |
reviews |
bibtex |
code (C++) |
poster
Unified graph matching in Euclidean spaces
Julian McAuley, Teofilo de Campos, Tiberio Caetano
Computer Vision and Pattern Recognition (CVPR)
pdf |
reviews |
bibtex |
code (C++) |
data |
poster
Exploiting within-clique factorizations in junction-tree algorithms
Julian McAuley, Tiberio Caetano
Artificial Intelligence and Statistics (AISTATS)
pdf |
reviews |
bibtex |
code (C++) |
poster
Graphical models
Julian McAuley, Tiberio Caetano, Wray Buntine
Book chapter in Encyclopedia of Machine Learning (C. Sammut and G. Webb, editors)
link
2009
Exponential family graph matching and ranking
James Petterson, Tiberio Caetano, Julian McAuley, Jin Yu
Neural Information Processing Systems (NIPS)
pdf |
reviews |
bibtex |
code (C++) |
poster
Hierarchical image-region labeling via structured learning
Julian McAuley, Teofilo de Campos, Gabriela Csurka, Florent Perronnin
British Machine Vision Conference (BMVC)
pdf |
reviews |
bibtex |
code (C++) |
poster
Shape classification through structured learning of matching measures
Longbin Chen, Julian McAuley, Rogerio Feris, Tiberio Caetano, Matthew Turk
Computer Vision and Pattern Recognition (CVPR)
pdf |
reviews |
bibtex |
code (C++) |
poster
Learning graph matching
Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, Alex Smola
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf |
reviews |
bibtex |
code (C++) |
data
Faster graphical models for point-pattern matching
Tiberio Caetano, Julian McAuley
Spatial Vision (by invitation)
pdf |
reviews |
bibtex |
code (C++) |
data
2008
Robust near-isometric matching via structured learning of graphical models
Julian McAuley, Tiberio Caetano, Alex Smola
Neural Information Processing Systems (NIPS)
pdf |
reviews |
bibtex |
code (C++) |
data |
poster
Graph rigidity, cyclic belief propagation and point pattern matching
Julian McAuley, Tiberio Caetano, Marconi Barbosa
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
pdf |
reviews |
bibtex |
code (C++) |
data
2007
The rich-club phenomenon across complex network hierarchies
Julian McAuley, Tiberio Caetano, Luciano da Fontoura Costa
Applied Physics Letters
pdf |
reviews |
bibtex |
code (C++)
2006
Learning high-order MRF priors of color images
Julian McAuley, Tiberio Caetano, Alex Smola, Matthias Franz
International Conference on Machine Learning (ICML)
pdf |
reviews |
bibtex |
code (C/Matlab) |
poster |
slides