McAuley, Julian J.

23 publications

AAAI 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley

AAAI 2024 RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He

AAAI 2023 "Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

AAAI 2023 A Survey on Model Compression and Acceleration for Pretrained Language Models Canwen Xu, Julian J. McAuley

AAAI 2023 Factual and Informative Review Generation for Explainable Recommendation Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder

NeurIPS 2022 Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva, Mehak Dhaliwal, Carole-Jean Wu, Julian J. Mcauley

AAAI 2022 Leashing the Inner Demons: Self-Detoxification for Language Models Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley

IJCAI 2018 Translation-Based Recommendation: A Scalable Method for Modeling Sequential Behavior Ruining He, Wang-Cheng Kang, Julian J. McAuley

ICLR 2017 Dance Dance Convolution Chris Donahue, Zachary C. Lipton, Julian J. McAuley

IJCAI 2017 Dynamic Programming Bipartite Belief Propagation for Hyper Graph Matching Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi

IJCAI 2017 SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation Chenwei Cai, Ruining He, Julian J. McAuley

AAAI 2017 Solving Constrained Combinatorial Optimisation Problems via MAP Inference Without High-Order Penalties Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel

IJCAI 2016 Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley

AAAI 2016 VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback Ruining He, Julian J. McAuley

ECCV 2012 Image Labeling on a Network: Using Social-Network Metadata for Image Classification Julian J. McAuley, Jure Leskovec

NeurIPS 2012 Learning to Discover Social Circles in Ego Networks Jure Leskovec, Julian J. Mcauley

JMLR 2011 Faster Algorithms for Max-Product Message-Passing Julian J. McAuley, Tibério S. Caetano

ICML 2010 Exploiting Data-Independence for Fast Belief-Propagation Julian J. McAuley, Tibério S. Caetano

CVPR 2010 Unified Graph Matching in Euclidean Spaces Julian J. McAuley, Teofilo de Campos, Tibério S. Caetano

NeurIPS 2009 Exponential Family Graph Matching and Ranking James Petterson, Jin Yu, Julian J. Mcauley, Tibério S. Caetano

CVPR 2009 Shape Classification Through Structured Learning of Matching Measures Longbin Chen, Julian J. McAuley, Rogério Schmidt Feris, Tibério S. Caetano, Matthew Turk

NeurIPS 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models Alex J. Smola, Julian J. Mcauley, Tibério S. Caetano

ICML 2006 Learning High-Order MRF Priors of Color Images Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola, Matthias O. Franz