Learning high-order MRF priors of color images. - Julian J. McAuley; Tibério S. Caetano; Alexander J. Smola; Matthias O. Franz (ICML, 2006)

High-Order Nonparametric Belief-Propagation for Fast Image Inpainting - Julian John McAuley; Tibério S. Caetano (CoRR, 2007)

Robust Near-Isometric Matching via Structured Learning of Graphical Models. - Julian J. McAuley; Tibério S. Caetano; Alexander J. Smola (NIPS, 2008)

Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching. - Julian J. McAuley; Tibério S. Caetano; Marconi S. Barbosa (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Hierarchical Image-Region Labeling via Structured Learning. - Julian J. McAuley; Teófilo Emídio de Campos; Gabriela Csurka; Florent Perronnin (BMVC, 2009)

Shape classification through structured learning of matching measures. - Longbin Chen; Julian J. McAuley; Rogério Schmidt Feris; Tibério S. Caetano; Matthew A. Turk (CVPR, 2009)

Exponential Family Graph Matching and Ranking. - James Petterson; Tibério S. Caetano; Julian J. McAuley; Jin Yu (NIPS, 2009)

Exact Inference in Graphical Models: is There More to it? - Julian J. McAuley; Tibério S. Caetano (CoRR, 2009)

An expected-case sub-cubic solution to the all-pairs shortest path problem in R - Julian J. McAuley; Tibério S. Caetano (CoRR, 2009)

Learning Graph Matching. - Tibério S. Caetano; Julian J. McAuley; Li Cheng 001; Quoc V. Le; Alexander J. Smola (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Unified graph matching in Euclidean spaces. - Julian J. McAuley; Teofilo de Campos; Tibério S. Caetano (CVPR, 2010)

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

Exploiting Within-Clique Factorizations in Junction-Tree Algorithms. - Julian J. McAuley; Tibério S. Caetano (AISTATS, 2010)

Graphical Models. - Julian J. McAuley; Tibério S. Caetano; Wray L. Buntine (Encyclopedia of Machine Learning, 2010)

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study. - Julian J. McAuley; Arnau Ramisa; Tibério S. Caetano (EMMCVPR, 2011)

Faster Algorithms for Max-Product Message-Passing. - Julian J. McAuley; Tibério S. Caetano (J. Mach. Learn. Res., 2011)

Fast Inference with Min-Sum Matrix Product. - Pedro F. Felzenszwalb; Julian J. McAuley (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Image Labeling on a Network: Using Social-Network Metadata for Image Classification. - Julian J. McAuley; Jure Leskovec (ECCV (4), 2012)

Learning Attitudes and Attributes from Multi-aspect Reviews. - Julian J. McAuley; Jure Leskovec; Dan Jurafsky (ICDM, 2012)

Learning to Discover Social Circles in Ego Networks. - Julian J. McAuley; Jure Leskovec (NIPS, 2012)

Fast matching of large point sets under occlusions. - Julian J. McAuley; Tibério S. Caetano (Pattern Recognit., 2012)

Community Detection in Networks with Node Attributes. - Jaewon Yang; Julian J. McAuley; Jure Leskovec (ICDM, 2013)

What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media. - Himabindu Lakkaraju; Julian J. McAuley; Jure Leskovec (ICWSM, 2013)

Hidden factors and hidden topics: understanding rating dimensions with review text. - Julian J. McAuley; Jure Leskovec (RecSys, 2013)

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews. - Julian J. McAuley; Jure Leskovec (WWW, 2013)

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies. - Julian J. McAuley; Arnau Ramisa; Tibério S. Caetano (Int. J. Comput. Vis., 2013)

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. - Tong Zhao 002; Julian J. McAuley; Irwin King (CIKM, 2014)

Detecting cohesive and 2-mode communities indirected and undirected networks. - Jaewon Yang; Julian J. McAuley; Jure Leskovec (WSDM, 2014)

Finding progression stages in time-evolving event sequences. - Jaewon Yang; Julian J. McAuley; Jure Leskovec; Paea LePendu; Nigam Shah (WWW, 2014)

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks. - Jaewon Yang; Julian J. McAuley; Jure Leskovec (CoRR, 2014)

Discovering social circles in ego networks. - Julian J. McAuley; Jure Leskovec (ACM Trans. Knowl. Discov. Data, 2014)

Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. - Tong Zhao 002; Julian J. McAuley; Irwin King (CIKM, 2015)

Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences. - Andreas Veit; Balazs Kovacs; Sean Bell; Julian J. McAuley; Kavita Bala; Serge J. Belongie (ICCV, 2015)

Inferring Networks of Substitutable and Complementary Products. - Julian J. McAuley; Rahul Pandey; Jure Leskovec (KDD, 2015)

Top-N Recommendation with Missing Implicit Feedback. - Daryl Lim; Julian J. McAuley; Gert R. G. Lanckriet (RecSys, 2015)

Image-Based Recommendations on Styles and Substitutes. - Julian J. McAuley; Christopher Targett; Qinfeng Shi; Anton van den Hengel (SIGIR, 2015)

Capturing Meaning in Product Reviews with Character-Level Generative Text Models. - Zachary Chase Lipton; Sharad Vikram; Julian J. McAuley (CoRR, 2015)

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

Pairwise Matching through Max-Weight Bipartite Belief Propagation. - Zhen Zhang 008; Qinfeng Shi; Julian J. McAuley; Wei Wei 008; Yanning Zhang; Anton van den Hengel (CVPR, 2016)

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. - Ruining He; Julian J. McAuley (ICDM, 2016)

Learning Compatibility Across Categories for Heterogeneous Item Recommendation. - Ruining He; Charles Packer; Julian J. McAuley (ICDM, 2016)

Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. - Mengting Wan; Julian J. McAuley (ICDM, 2016)

Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering. - Ruining He; Chunbin Lin; Jianguo Wang 001; Julian J. McAuley (IJCAI, 2016)

Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. - Ruining He; Chen Fang; Zhaowen Wang; Julian J. McAuley (RecSys, 2016)

Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. - Ruining He; Chunbin Lin; Julian J. McAuley (WWW (Companion Volume), 2016)

Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. - Ruining He; Julian J. McAuley (WWW, 2016)

Addressing Complex and Subjective Product-Related Queries with Customer Reviews. - Julian J. McAuley; Alex Yang (WWW, 2016)

Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. - Ruining He; Charles Packer; Julian J. McAuley (CoRR, 2016)

Predicting risky behavior in social communities. - Olivia Simpson; Julian J. McAuley (CoRR, 2016)

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. - Zhen Zhang 008; Qinfeng Shi; Julian J. McAuley; Wei Wei 008; Yanning Zhang; Rui Yao; Anton van den Hengel (AAAI, 2017)

The presence of highly similar notes within the MIMIC-III dataset. - Rodney A. Gabriel; Sanjeev Shenoy; Tsung-Ting Kuo; Julian J. McAuley; Chun-Nan Hsu (AMIA, 2017)

Visually-Aware Fashion Recommendation and Design with Generative Image Models. - Wang-Cheng Kang; Chen Fang; Zhaowen Wang; Julian J. McAuley (ICDM, 2017)

Dance Dance Convolution. - Chris Donahue; Zachary C. Lipton; Julian J. McAuley (ICML, 2017)

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

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. - Zhen Zhang 008; Julian J. McAuley; Yong Li; Wei Wei 008; Yanning Zhang; Qinfeng Shi (IJCAI, 2017)

Estimating Reactions and Recommending Products with Generative Models of Reviews. - Jianmo Ni; Zachary C. Lipton; Sharad Vikram; Julian J. McAuley (IJCNLP(1), 2017)

IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017). - Anil Kumar Singh 001; Avijit Thawani; Mayank Panchal; Anubhav Gupta; Julian J. McAuley (IJCNLP (Shared Tasks), 2017)

Improving recommendation accuracy using networks of substitutable and complementary products. - Tong Zhao 002; Julian J. McAuley; Mengya Li; Irwin King (IJCNN, 2017)

Predicting Surgery Duration with Neural Heteroscedastic Regression. - Nathan H. Ng; Rodney A. Gabriel; Julian J. McAuley; Charles Elkan; Zachary C. Lipton (MLHC, 2017)

Translation-based Recommendation. - Ruining He; Wang-Cheng Kang; Julian J. McAuley (RecSys, 2017)

Scrabble: converting unstructured metadata into brick for many buildings. - Jason Koh; Dhiman Sengupta; Julian J. McAuley; Rajesh K. Gupta 001; Bharathan Balaji; Yuvraj Agarwal (BuildSys@SenSys, 2017)

Generating and Personalizing Bundle Recommendations on Steam. - Apurva Pathak; Kshitiz Gupta; Julian J. McAuley (SIGIR, 2017)

Bartering Books to Beers: A Recommender System for Exchange Platforms. - Jérémie Rappaz; Maria-Luiza Vladarean; Julian J. McAuley; Michele Catasta (WSDM, 2017)

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. - Mengting Wan; Di Wang 003; Matthew Goldman; Matt Taddy; Justin Rao; Jie Liu 001; Dimitrios Lymberopoulos; Julian J. McAuley (WWW, 2017)

Deduplication in a massive clinical note dataset. - Sanjeev Shenoy; Tsung-Ting Kuo; Rodney A. Gabriel; Julian J. McAuley; Chun-Nan Hsu (CoRR, 2017)

Does mitigating ML's disparate impact require disparate treatment? - Zachary C. Lipton; Alexandra Chouldechova; Julian J. McAuley (CoRR, 2017)

Graphical Models. - Julian J. McAuley; Tibério S. Caetano; Wray L. Buntine (Encyclopedia of Machine Learning and Data Mining, 2017)

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. - Jianmo Ni; Julian J. McAuley (ACL (2), 2018)

Recommendation Through Mixtures of Heterogeneous Item Relationships. - Wang-Cheng Kang; Mengting Wan; Julian J. McAuley (CIKM, 2018)

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. - Mengting Wan; Di Wang 003; Jie Liu 001; Paul Bennett 001; Julian J. McAuley (CIKM, 2018)

Self-Attentive Sequential Recommendation. - Wang-Cheng Kang; Julian J. McAuley (ICDM, 2018)

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. - Chris Donahue; Zachary C. Lipton; Akshay Balsubramani; Julian J. McAuley (ICLR (Poster), 2018)

Synthesizing Audio with GANs. - Chris Donahue; Julian J. McAuley; Miller S. Puckette (ICLR (Workshop), 2018)

Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders. - Nathan H. Ng; Julian J. McAuley; Julian Gingold; Nina Desai; Zachary C. Lipton (ICLR (Workshop), 2018)

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

The NES Music Database: A multi-instrumental dataset with expressive performance attributes. - Chris Donahue; Huanru Henry Mao; Julian J. McAuley (ISMIR, 2018)

Does mitigating ML's impact disparity require treatment disparity? - Zachary C. Lipton; Julian J. McAuley; Alexandra Chouldechova (NeurIPS, 2018)

Learning within-session budgets from browsing trajectories. - Diane Hu; Raphael Louca; Liangjie Hong; Julian J. McAuley (RecSys, 2018)

Learning consumer and producer embeddings for user-generated content recommendation. - Wang-Cheng Kang; Julian J. McAuley (RecSys, 2018)

Decomposing fit semantics for product size recommendation in metric spaces. - Rishabh Misra; Mengting Wan; Julian J. McAuley (RecSys, 2018)

Translation-based factorization machines for sequential recommendation. - Rajiv Pasricha; Julian J. McAuley (RecSys, 2018)

Item recommendation on monotonic behavior chains. - Mengting Wan; Julian J. McAuley (RecSys, 2018)

One-Class Recommendation with Asymmetric Textual Feedback. - Mengting Wan; Julian J. McAuley (SDM, 2018)

Scrabble: transferrable semi-automated semantic metadata normalization using intermediate representation. - Jason Koh; Bharathan Balaji; Dhiman Sengupta; Julian J. McAuley; Rajesh K. Gupta 001; Yuvraj Agarwal (BuildSys@SenSys, 2018)

Synthesizing Audio with Generative Adversarial Networks. - Chris Donahue; Julian J. McAuley; Miller S. Puckette (CoRR, 2018)

Visually-Aware Personalized Recommendation using Interpretable Image Representations. - Charles Packer; Julian J. McAuley; Arnau Ramisa (CoRR, 2018)

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. - Jianmo Ni; Chenguang Zhu 001; Weizhu Chen; Julian J. McAuley (CoRR, 2018)

Identifying and characterizing highly similar notes in big clinical note datasets. - Rodney A. Gabriel; Tsung-Ting Kuo; Julian J. McAuley; Chun-Nan Hsu (J. Biomed. Informatics, 2018)

Fine-Grained Spoiler Detection from Large-Scale Review Corpora. - Mengting Wan; Rishabh Misra; Ndapa Nakashole; Julian J. McAuley (ACL (1), 2019)

Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. - Wang-Cheng Kang; Julian John McAuley (CIKM, 2019)

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. - An Yan 003; Shuo Cheng; Wang-Cheng Kang; Mengting Wan; Julian J. McAuley (CIKM, 2019)

Complete the Look: Scene-Based Complementary Product Recommendation. - Wang-Cheng Kang; Eric Kim; Jure Leskovec; Charles Rosenberg 001; Julian J. McAuley (CVPR, 2019)

Generating Personalized Recipes from Historical User Preferences. - Bodhisattwa Prasad Majumder; Shuyang Li; Jianmo Ni; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

Improving Neural Story Generation by Targeted Common Sense Grounding. - Huanru Henry Mao; Bodhisattwa Prasad Majumder; Julian J. McAuley; Garrison W. Cottrell (EMNLP/IJCNLP (1), 2019)

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. - Jianmo Ni; Jiacheng Li 003; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. - Liliang Ren; Jianmo Ni; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

Adversarial Audio Synthesis. - Chris Donahue; Julian J. McAuley; Miller S. Puckette (ICLR (Poster), 2019)

Expediting TTS Synthesis with Adversarial Vocoding. - Paarth Neekhara; Chris Donahue; Miller S. Puckette; Shlomo Dubnov; Julian J. McAuley (INTERSPEECH, 2019)

Universal Adversarial Perturbations for Speech Recognition Systems. - Paarth Neekhara; Shehzeen Hussain; Prakhar Pandey; Shlomo Dubnov; Julian J. McAuley; Farinaz Koushanfar (INTERSPEECH, 2019)

LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. - Chris Donahue; Huanru Henry Mao; Yiting Ethan Li; Garrison W. Cottrell; Julian J. McAuley (ISMIR, 2019)

Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions. - Tingfung Lau; Nathan Ng; Julian Gingold; Nina Desai; Julian J. McAuley; Zachary C. Lipton (MLHC, 2019)

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. - Jianmo Ni; Chenguang Zhu 001; Weizhu Chen; Julian J. McAuley (NAACL-HLT (1), 2019)

Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. - Jianmo Ni; Larry Muhlstein; Julian J. McAuley (WWW, 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher W. Geib; Odd Erik Gundersen; Seán Ó hÉigeartaigh; José Hernández-Orallo; Chiori Hori; Xiaowei Huang 001; et al. (AI Mag., 2019)

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. - Bodhisattwa Prasad Majumder; Harsh Jhamtani; Taylor Berg-Kirkpatrick; Julian J. McAuley (EMNLP (1), 2020)

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. - Bodhisattwa Prasad Majumder; Shuyang Li; Jianmo Ni; Julian J. McAuley (EMNLP (1), 2020)

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. - Jianmo Ni; Chun-Nan Hsu; Amilcare Gentili; Julian J. McAuley (EMNLP (Findings), 2020)

A Longitudinal Evaluation of a Best Practices CS1. - Adrian Salguero; Julian J. McAuley; Beth Simon; Leo Porter 001 (ICER, 2020)

Speech Recognition and Multi-Speaker Diarization of Long Conversations. - Huanru Henry Mao; Shuyang Li; Julian J. McAuley; Garrison W. Cottrell (INTERSPEECH, 2020)

MusPy: A Toolkit for Symbolic Music Generation. - Hao-Wen Dong; Ke Chen 021; Julian J. McAuley; Taylor Berg-Kirkpatrick (ISMIR, 2020)

BERT Loses Patience: Fast and Robust Inference with Early Exit. - Wangchunshu Zhou; Canwen Xu; Tao Ge 001; Julian J. McAuley; Ke Xu 001; Furu Wei (NeurIPS, 2020)

Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. - Hengrui Zhang; Julian J. McAuley (SDM, 2020)

How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. - Noveen Sachdeva; Julian J. McAuley (SIGIR, 2020)

Time Interval Aware Self-Attention for Sequential Recommendation. - Jiacheng Li 003; Yujie Wang; Julian J. McAuley (WSDM, 2020)

Addressing Marketing Bias in Product Recommendations. - Mengting Wan; Jianmo Ni; Rishabh Misra; Julian J. McAuley (WSDM, 2020)

Attentive Sequential Models of Latent Intent for Next Item Recommendation. - Md. Mehrab Tanjim; Congzhe Su; Ethan Benjamin; Diane Hu; Liangjie Hong; Julian J. McAuley (WWW, 2020)

Developing a Recommendation Benchmark for MLPerf Training and Inference. - Carole-Jean Wu; Robin Burke; Ed H. Chi; Joseph A. Konstan; Julian J. McAuley; Yves Raimond; Hao Zhang (CoRR, 2020)

Generating Rationales in Visual Question Answering. - Hammad A. Ayyubi; Md. Mehrab Tanjim; Julian J. McAuley; Garrison W. Cottrell (CoRR, 2020)

Interview: A Large-Scale Open-Source Corpus of Media Dialog. - Bodhisattwa Prasad Majumder; Shuyang Li; Jianmo Ni; Julian J. McAuley (CoRR, 2020)

Weakly Supervised Named Entity Tagging with Learnable Logical Rules. - Jiacheng Li 003; Haibo Ding; Jingbo Shang; Julian J. McAuley; Zhe Feng 003 (ACL/IJCNLP (1), 2021)

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. - Bodhisattwa Prasad Majumder; Taylor Berg-Kirkpatrick; Julian J. McAuley; Harsh Jhamtani (ACL/IJCNLP (2), 2021)

Expressive Neural Voice Cloning. - Paarth Neekhara; Shehzeen Hussain; Shlomo Dubnov; Farinaz Koushanfar; Julian J. McAuley (ACML, 2021)

Locker: Locally Constrained Self-Attentive Sequential Recommendation. - Zhankui He; Handong Zhao; Zhe Lin 001; Zhaowen Wang; Ajinkya Kale; Julian J. McAuley (CIKM, 2021)

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. - Shuyang Li; Jin Cao 003; Mukund Sridhar; Henghui Zhu; Shang-Wen Li 001; Wael Hamza; Julian J. McAuley (EACL, 2021)

Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. - Zexue He; Bodhisattwa Prasad Majumder; Julian J. McAuley (EMNLP (Findings), 2021)

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Julian J. McAuley; Furu Wei (EMNLP (1), 2021)

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. - An Yan 003; Zexue He; Xing Lu; Jiang Du; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP (Findings), 2021)

Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. - Hao-Wen Dong; Chris Donahue; Taylor Berg-Kirkpatrick; Julian J. McAuley (ISMIR, 2021)

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. - Sachinda Edirisooriya; Hao-Wen Dong; Julian J. McAuley; Taylor Berg-Kirkpatrick (ISMIR, 2021)

Workshop on Online and Adaptative Recommender Systems (OARS). - Xiquan Cui; Estelle Afshar; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Vachik S. Dave; Mohammad Korayem (KDD, 2021)

Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. - Bodhisattwa Prasad Majumder; Sudha Rao; Michel Galley; Julian J. McAuley (NAACL-HLT, 2021)

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Julian J. McAuley; Furu Wei (NAACL-HLT, 2021)

Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption. - Jérémie Rappaz; Julian J. McAuley; Karl Aberer (RecSys, 2021)

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. - Zhenrui Yue; Zhankui He; Huimin Zeng; Julian J. McAuley (RecSys, 2021)

ReZero is all you need: fast convergence at large depth. - Thomas Bachlechner; Bodhisattwa Prasad Majumder; Huanru Henry Mao; Gary Cottrell; Julian J. McAuley (UAI, 2021)

WaveGuard: Understanding and Mitigating Audio Adversarial Examples. - Shehzeen Hussain; Paarth Neekhara; Shlomo Dubnov; Julian J. McAuley; Farinaz Koushanfar (USENIX Security Symposium, 2021)

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. - Shehzeen Hussain; Paarth Neekhara; Malhar Jere; Farinaz Koushanfar; Julian J. McAuley (WACV, 2021)

Meta Learning for Knowledge Distillation. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (CoRR, 2021)

Rationale-Inspired Natural Language Explanations with Commonsense. - Bodhisattwa Prasad Majumder; Oana-Maria Camburu; Thomas Lukasiewicz; Julian J. McAuley (CoRR, 2021)

SVP-CF: Selection via Proxy for Collaborative Filtering Data. - Noveen Sachdeva; Carole-Jean Wu; Julian J. McAuley (CoRR, 2021)

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. - Zhiwei Liu; Yongjun Chen; Jia Li 015; Philip S. Yu; Julian J. McAuley; Caiming Xiong (CoRR, 2021)

A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (CoRR, 2021)

Modeling Dynamic Attributes for Next Basket Recommendation. - Yongjun Chen; Jia Li 015; Chenghao Liu; Chenxi Li; Markus Anderle; Julian J. McAuley; Caiming Xiong (CoRR, 2021)

Locality-Sensitive Experience Replay for Online Recommendation. - Xiaocong Chen; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley (CoRR, 2021)

Self-Supervised Bot Play for Conversational Recommendation with Justifications. - Shuyang Li; Bodhisattwa Prasad Majumder; Julian J. McAuley (CoRR, 2021)

Bach Violin Dataset. - Hao-Wen Dong; Cong Zhou; Taylor Berg-Kirkpatrick; Julian J. McAuley (Zenodo, 2021)

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

SkipBERT: Efficient Inference with Shallow Layer Skipping. - Jue Wang 019; Ke Chen 005; Gang Chen 001; Lidan Shou; Julian J. McAuley (ACL (1), 2022)

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. - Jiacheng Li 003; Jingbo Shang; Julian J. McAuley (ACL (1), 2022)

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. - Bodhisattwa Prasad Majumder; Harsh Jhamtani; Taylor Berg-Kirkpatrick; Julian J. McAuley (ACL (1), 2022)

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. - Canwen Xu; Daya Guo; Nan Duan; Julian J. McAuley (ACL (Findings), 2022)

BERT Learns to Teach: Knowledge Distillation with Meta Learning. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (ACL (1), 2022)

AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks. - Jessica Maria Echterhoff; Matin Yarmand; Julian J. McAuley (CHI, 2022)

Query-Aware Sequential Recommendation. - Zhankui He; Handong Zhao; Zhaowen Wang; Zhe Lin 001; Ajinkya Kale; Julian J. McAuley (CIKM, 2022)

SPOT: Knowledge-Enhanced Language Representations for Information Extraction. - Jiacheng Li 003; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Andrew Bartko; Julian J. McAuley; Chun-Nan Hsu (CIKM, 2022)

Rank List Sensitivity of Recommender Systems to Interaction Perturbations. - Sejoon Oh; Berk Ustun; Julian J. McAuley; Srijan Kumar (CIKM, 2022)

Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. - Xing Lu; An Yan 003; Eric Y. Chang; Chun-Nan Hsu; Julian J. McAuley; Jiang Du; Amilcare Gentili (CLEF (Working Notes), 2022)

Controlling Bias Exposure for Fair Interpretable Predictions. - Zexue He; Yu Wang 160; Julian J. McAuley; Bodhisattwa Prasad Majumder (EMNLP (Findings), 2022)

SHARE: a System for Hierarchical Assistive Recipe Editing. - Shuyang Li; Yufei Li; Jianmo Ni; Julian J. McAuley (EMNLP, 2022)

InforMask: Unsupervised Informative Masking for Language Model Pretraining. - Nafis Sadeq; Canwen Xu; Julian J. McAuley (EMNLP, 2022)

Efficiently Tuned Parameters Are Task Embeddings. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (EMNLP, 2022)

Deep Performer: Score-to-Audio Music Performance Synthesis. - Hao-Wen Dong; Cong Zhou; Taylor Berg-Kirkpatrick; Julian J. McAuley (ICASSP, 2022)

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. - Bodhisattwa Prasad Majumder; Oana Camburu; Thomas Lukasiewicz; Julian J. McAuley (ICML, 2022)

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. - Ke Chen 021; Hao-Wen Dong; Yi Luo; Julian J. McAuley; Taylor Berg-Kirkpatrick; Miller S. Puckette; Shlomo Dubnov (ISMIR, 2022)

GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. - Noveen Sachdeva; Ziran Wang; Kyungtae Han; Rohit Gupta; Julian J. McAuley (ITSC, 2022)

2nd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Kamelia Aryafar; Mohammed Korayem (KDD, 2022)

Instilling Type Knowledge in Language Models via Multi-Task QA. - Shuyang Li; Mukund Sridhar; Chandana Satya Prakash; Jin Cao 003; Wael Hamza; Julian J. McAuley (NAACL-HLT (Findings), 2022)

Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. - Han Wang; Canwen Xu; Julian J. McAuley (NAACL-HLT, 2022)

Infinite Recommendation Networks: A Data-Centric Approach. - Noveen Sachdeva; Mehak Preet Dhaliwal; Carole-Jean Wu; Julian J. McAuley (NeurIPS, 2022)

Bundle MCR: Towards Conversational Bundle Recommendation. - Zhankui He; Handong Zhao; Tong Yu 001; Sungchul Kim; Fan Du; Julian J. McAuley (RecSys, 2022)

Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. - Shuyang Li; Bodhisattwa Prasad Majumder; Julian J. McAuley (RecSys, 2022)

Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Weili Guan; Xiaojun Chang; Xianzhi Wang 001 (SIGIR, 2022)

Coarse-to-Fine Sparse Sequential Recommendation. - Jiacheng Li 003; Tong Zhao 002; Jin Li 003; Jim Chan; Christos Faloutsos; George Karypis; Soo-Min Pantel; Julian J. McAuley (SIGIR, 2022)

Cross-modal Adversarial Reprogramming. - Paarth Neekhara; Shehzeen Hussain; Jinglong Du; Shlomo Dubnov; Farinaz Koushanfar; Julian J. McAuley (WACV, 2022)

On Sampling Collaborative Filtering Datasets. - Noveen Sachdeva; Carole-Jean Wu; Julian J. McAuley (WSDM, 2022)

Intent Contrastive Learning for Sequential Recommendation. - Yongjun Chen; Zhiwei Liu; Jia Li 015; Julian J. McAuley; Caiming Xiong (WWW, 2022)

Personalized Complementary Product Recommendation. - An Yan 003; Chaosheng Dong; Yan Gao; Jinmiao Fu; Tong Zhao 002; Yi Sun; Julian J. McAuley (WWW (Companion Volume), 2022)

A Survey on Model Compression for Natural Language Processing. - Canwen Xu; Julian J. McAuley (CoRR, 2022)

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. - Paarth Neekhara; Shehzeen Hussain; Xinqiao Zhang; Ke Huang 001; Julian J. McAuley; Farinaz Koushanfar (CoRR, 2022)

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. - Hao-Wen Dong; Ke Chen 021; Shlomo Dubnov; Julian J. McAuley; Taylor Berg-Kirkpatrick (CoRR, 2022)

Contrastive Learning for Interactive Recommendation in Fashion. - Karin Sevegnani; Arjun Seshadri; Tian Wang; Anurag Beniwal; Julian J. McAuley; Alan Lu; Gerard Medioni (CoRR, 2022)

Generating Negative Samples for Sequential Recommendation. - Yongjun Chen; Jia Li 015; Zhiwei Liu; Nitish Shirish Keskar; Huan Wang 016; Julian J. McAuley; Caiming Xiong (CoRR, 2022)

Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. - Siyu Wang; Xiaocong Chen; Lina Yao 001; Julian J. McAuley (CoRR, 2022)

Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. - Jiacheng Li 003; Yannis Katsis; Tyler Baldwin; Ho-Cheol Kim; Andrew Bartko; Julian J. McAuley; Chun-Nan Hsu (CoRR, 2022)

On Faithfulness and Coherence of Language Explanations for Recommendation Systems. - Zhouhang Xie; Julian J. McAuley; Bodhisattwa Prasad Majumder (CoRR, 2022)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (CoRR, 2022)

CLIP also Understands Text: Prompting CLIP for Phrase Understanding. - An Yan 003; Jiacheng Li 003; Wanrong Zhu; Yujie Lu; William Yang Wang; Julian J. McAuley (CoRR, 2022)

An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Lina Yao 001; Xianzhi Wang 001; Julian J. McAuley; Xiaojun Chang (IEEE Trans. Circuits Syst. Video Technol., 2022)

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. - Zexue He; An Yan 003; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (AAAI, 2023)

Factual and Informative Review Generation for Explainable Recommendation. - Zhouhang Xie; Sameer Singh 001; Julian J. McAuley; Bodhisattwa Prasad Majumder (AAAI, 2023)

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

Synthetic Pre-Training Tasks for Neural Machine Translation. - Zexue He; Graeme Blackwood; Rameswar Panda; Julian J. McAuley; Rogério Feris (ACL (Findings), 2023)

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. - Myeongjun Jang; Bodhisattwa Prasad Majumder; Julian J. McAuley; Thomas Lukasiewicz; Oana-Maria Camburu (ACL (2), 2023)

Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. - Weihan Xu; Julian J. McAuley; Shlomo Dubnov; Hao-Wen Dong (IEEE Big Data, 2023)

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. - Zheng Chen 010; Ziyan Jiang; Fan Yang; Zhankui He; Yupeng Hou; Eunah Cho; Julian J. McAuley; Aram Galstyan; Xiaohua Hu 001; Jie Yang 028 (CIKM, 2023)

Large Language Models as Zero-Shot Conversational Recommenders. - Zhankui He; Zhouhang Xie; Rahul Jha; Harald Steck; Dawen Liang; Yesu Feng; Bodhisattwa Prasad Majumder; Nathan Kallus; Julian J. McAuley (CIKM, 2023)

Assistive Recipe Editing through Critiquing. - Diego Antognini; Shuyang Li; Boi Faltings; Julian J. McAuley (EACL, 2023)

Unsupervised Improvement of Factual Knowledge in Language Models. - Nafis Sadeq; Byungkyu Kang; Prarit Lamba; Julian J. McAuley (EACL, 2023)

A Survey on Dynamic Neural Networks for Natural Language Processing. - Canwen Xu; Julian J. McAuley (EACL (Findings), 2023)

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. - Zexue He; Yu Wang 160; An Yan 003; Yao Liu 017; Eric Y. Chang; Amilcare Gentili; Julian J. McAuley; Chun-Nan Hsu (EMNLP, 2023)

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. - Bodhisattwa Prasad Majumder; Zexue He; Julian J. McAuley (EMNLP, 2023)

Spoiler Detection as Semantic Text Matching. - Ryan Tran; Canwen Xu; Julian J. McAuley (EMNLP, 2023)

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. - Canwen Xu; Daya Guo; Nan Duan; Julian J. McAuley (EMNLP, 2023)

Multitrack Music Transformer. - Hao-Wen Dong; Ke Chen 021; Shlomo Dubnov; Julian J. McAuley; Taylor Berg-Kirkpatrick (ICASSP, 2023)

Learning Concise and Descriptive Attributes for Visual Recognition. - An Yan 003; Yu Wang 160; Yiwu Zhong; Chengyu Dong; Zexue He; Yujie Lu; William Yang Wang; Jingbo Shang; Julian J. McAuley (ICCV, 2023)

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. - Hao-Wen Dong; Naoya Takahashi; Yuki Mitsufuji; Julian J. McAuley; Taylor Berg-Kirkpatrick (ICLR, 2023)

LongCoder: A Long-Range Pre-trained Language Model for Code Completion. - Daya Guo; Canwen Xu; Nan Duan; Jian Yin 001; Julian J. McAuley (ICML, 2023)

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. - Zachary Novack; Julian J. McAuley; Zachary Chase Lipton; Saurabh Garg (ICML, 2023)

Improving Robustness of Convolutional Networks Through Sleep-Like Replay. - Jean Erik Delanois; Aditya Ahuja; Giri P. Krishnan; Timothy Tadros; Julian J. McAuley; Maxim Bazhenov (ICMLA, 2023)

Generative Flow Network for Listwise Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Zhankui He; Bowen Sun; Julian J. McAuley; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2023)

3rd Workshop on Online and Adaptive Recommender Systems (OARS). - Xiquan Cui; Vachik S. Dave; Yi Su; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye 001; Stephen D. Guo; Chip Huyen (KDD, 2023)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Text Is All You Need: Learning Language Representations for Sequential Recommendation. - Jiacheng Li 003; Ming Wang; Jin Li 003; Jinmiao Fu; Xin Shen; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. - An Yan 003; Zhankui He; Jiacheng Li 003; Tianyang Zhang; Julian John McAuley (SIGIR, 2023)

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. - Hao-Wen Dong; Xiaoyu Liu 003; Jordi Pons; Gautam Bhattacharya; Santiago Pascual; Joan Serrà; Taylor Berg-Kirkpatrick; Julian J. McAuley (WASPAA, 2023)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. - Zihao Li; Xianzhi Wang 001; Chao Yang 024; Lina Yao 001; Julian J. McAuley; Guandong Xu 001 (WSDM, 2023)

Jointly modeling products and resource pages for task-oriented recommendation. - Brendan Andrew Duncan; Surya Kallumadi; Taylor Berg-Kirkpatrick; Julian J. McAuley (WWW (Companion Volume), 2023)

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. - Yupeng Hou; Zhankui He; Julian J. McAuley; Wayne Xin Zhao (WWW, 2023)

Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. - Canwen Xu; Julian J. McAuley; Penghan Wang (WWW (Companion Volume), 2023)

Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews. - Jessica Maria Echterhoff; An Yan 003; Julian J. McAuley (CoRR, 2023)

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. - Xiaocong Chen; Siyu Wang; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (CoRR, 2023)

Reinforcement Learning for Generative AI: A Survey. - Yuanjiang Cao; Quan Z. Sheng; Julian J. McAuley; Lina Yao 001 (CoRR, 2023)

Contrastive Post-training Large Language Models on Data Curriculum. - Canwen Xu; Corby Rosset; Luciano Del Corro; Shweti Mahajan; Julian J. McAuley; Jennifer Neville; Ahmed Hassan Awadallah; Nikhil Rao 001 (CoRR, 2023)

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. - An Yan 003; Yu Wang 160; Yiwu Zhong; Zexue He; Petros Karypis; Zihan Wang 001; Chengyu Dong; Amilcare Gentili; Chun-Nan Hsu; Jingbo Shang; Julian J. McAuley (CoRR, 2023)

Farzi Data: Autoregressive Data Distillation. - Noveen Sachdeva; Zexue He; Wang-Cheng Kang; Jianmo Ni; Derek Zhiyuan Cheng; Julian J. McAuley (CoRR, 2023)

Unsupervised Lead Sheet Generation via Semantic Compression. - Zachary Novack; Nikita Srivatsan; Taylor Berg-Kirkpatrick; Julian J. McAuley (CoRR, 2023)

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. - An Yan 003; Zhengyuan Yang; Wanrong Zhu; Kevin Lin; Linjie Li; Jianfeng Wang; Jianwei Yang; Yiwu Zhong; Julian J. McAuley; Jianfeng Gao 001; Zicheng Liu 001; Lijuan Wang (CoRR, 2023)

Data Distillation: A Survey. - Noveen Sachdeva; Julian J. McAuley (Trans. Mach. Learn. Res., 2023)

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. - Yun Li; Zhe Liu 023; Xiaojun Chang; Julian J. McAuley; Lina Yao 001 (IEEE Trans. Multim., 2023)

Deep reinforcement learning in recommender systems: A survey and new perspectives. - Xiaocong Chen; Lina Yao 001; Julian J. McAuley; Guanglin Zhou; Xianzhi Wang 001 (Knowl. Based Syst., 2023)

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. - Yu Wang 160; 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, 2024)

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. - Jianing Wang; Junda Wu; Yupeng Hou; Yao Liu 017; Ming Gao 001; Julian J. McAuley (ACL (Findings), 2024)

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. - Junda Wu; Tong Yu 001; Xiang Chen; Haoliang Wang; Ryan A. Rossi; Sungchul Kim; Anup B. Rao; Julian J. McAuley (ACL (1), 2024)

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning. - Zhouhang Xie; Bodhisattwa Prasad Majumder; Mengjie Zhao; Yoshinori Maeda; Keiichi Yamada; Hiromi Wakaki; Julian J. McAuley (ACL (Findings), 2024)

Small Models are Valuable Plug-ins for Large Language Models. - Canwen Xu; Yichong Xu; Shuohang Wang; Yang Liu 124; Chenguang Zhu 001; Julian J. McAuley (ACL (Findings), 2024)

Large Language Models are Zero-Shot Rankers for Recommender Systems. - Yupeng Hou; Junjie Zhang 009; Zihan Lin; Hongyu Lu; Ruobing Xie; Julian J. McAuley; Wayne Xin Zhao (ECIR (2), 2024)

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. - Tianyang Liu 003; Canwen Xu; Julian J. McAuley (ICLR, 2024)

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. - Guangyi Liu; Yu Wang 160; Zeyu Feng; Qiyu Wu 001; Liping Tang; Yuan Gao; Zhen Li 026; Shuguang Cui; Julian J. McAuley; Zichao Yang; Eric P. Xing; Zhiting Hu (ICML, 2024)

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. - Paarth Neekhara; Shehzeen Samarah Hussain; Rafael Valle; Boris Ginsburg; Rishabh Ranjan; Shlomo Dubnov; Farinaz Koushanfar; Julian J. McAuley (ICML, 2024)

DITTO: Diffusion Inference-Time T-Optimization for Music Generation. - Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ICML, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 160; Yifan Gao 001; Xiusi Chen; Haoming Jiang; Shiyang Li; Jingfeng Yang 001; Qingyu Yin; Zheng Li 018; Xian Li; Bing Yin; Jingbo Shang; Julian J. McAuley (ICML, 2024)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (KDD, 2024)

First Workshop on Generative AI for Recommender Systems and Personalization. - Narges Tabari; Aniket Anand Deshmukh; Wang-Cheng Kang; Hamed Zamani; Rashmi Gangadharaiah; Julian J. McAuley; George Karypis (KDD, 2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. - Junda Wu; Cheng-Chun Chang; Tong Yu 001; Zhankui He; Jianing Wang; Yupeng Hou; Julian J. McAuley (KDD, 2024)

Extending Input Contexts of Language Models through Training on Segmented Sequences. - Petros Karypis; Julian J. McAuley; George Karypis (NAACL-HLT (Findings), 2024)

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. - Yu Xia; Tong Yu 001; Zhankui He; Handong Zhao; Julian J. McAuley; Shuai Li 010 (NAACL-HLT, 2024)

Automatic Pair Construction for Contrastive Post-training. - Canwen Xu; Corby Rosset; Ethan C. Chau; Luciano Del Corro; Shweti Mahajan; Julian J. McAuley; Jennifer Neville; Ahmed Awadallah 001; Nikhil Rao 001 (NAACL-HLT (Findings), 2024)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. - Se-eun Yoon; Zhankui He; Jessica Maria Echterhoff; Julian J. McAuley (NAACL-HLT, 2024)

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). - Yashar Deldjoo; Julian J. McAuley; Scott Sanner; Pablo Castells; Shuai Zhang 007; Enrico Palumbo (RecSys, 2024)

MAWI Rec: Leveraging Severe Weather Data in Recommendation. - Brendan Andrew Duncan; Surya Kallumadi; Taylor Berg-Kirkpatrick; Julian J. McAuley (RecSys, 2024)

Neighborhood-Based Collaborative Filtering for Conversational Recommendation. - Zhouhang Xie; Junda Wu; Hyunsik Jeon; Zhankui He; Harald Steck; Rahul Jha; Dawen Liang; Nathan Kallus; Julian J. McAuley (RecSys, 2024)

Fair Sequential Recommendation without User Demographics. - Huimin Zeng; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (SIGIR, 2024)

Avoiding Decision Fatigue with AI-Assisted Decision-Making. - Jessica Maria Echterhoff; Aditya Melkote; Sujen Kancherla; Julian J. McAuley (UMAP, 2024)

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. - Jessica Maria Echterhoff; An Yan 003; Kyungtae Han; Amr Abdelraouf; Rohit Gupta; Julian J. McAuley (WACV, 2024)

Linear Recurrent Units for Sequential Recommendation. - Zhenrui Yue; Yueqi Wang; Zhankui He; Huimin Zeng; Julian J. McAuley; Dong Wang 002 (WSDM, 2024)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. - Jiarui Jin; Zexue He; Mengyue Yang; Weinan Zhang 001; Yong Yu 001; Jun Wang 012; Julian J. McAuley (WWW, 2024)

Off-Policy Evaluation for Large Action Spaces via Policy Convolution. - Noveen Sachdeva; Lequn Wang; Dawen Liang; Nathan Kallus; Julian J. McAuley (WWW, 2024)

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. - Junjie Zhang 009; Yupeng Hou; Ruobing Xie; Wenqi Sun; Julian J. McAuley; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (WWW, 2024)

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. - Sejoon Oh; Berk Ustun; Julian J. McAuley; Srijan Kumar (CoRR, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 160; Xiusi Chen; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

How to Train Data-Efficient LLMs. - Noveen Sachdeva; Benjamin Coleman; Wang-Cheng Kang; Jianmo Ni; Lichan Hong; Ed H. Chi; James Caverlee; Julian J. McAuley; Derek Zhiyuan Cheng (CoRR, 2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives. - Chengkai Huang; Tong Yu 001; Kaige Xie; Shuai Zhang 007; Lina Yao 001; Julian J. McAuley (CoRR, 2024)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. - Yakun Chen; Kaize Shi; Zhangkai Wu; Juan Chen; Xianzhi Wang 001; Julian J. McAuley; Guandong Xu 001; Shui Yu 001 (CoRR, 2024)

LVCHAT: Facilitating Long Video Comprehension. - Yu Wang 160; Zeyuan Zhang; Julian J. McAuley; Zexue He (CoRR, 2024)

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. - Zexue He; Leonid Karlinsky; Donghyun Kim 006; Julian J. McAuley; Dmitry Krotov; Rogério Feris (CoRR, 2024)

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. - Guangyi Liu; Yu Wang 160; Zeyu Feng; Qiyu Wu 001; Liping Tang; Yuan Gao; Zhen Li 026; Shuguang Cui; Julian J. McAuley; Eric P. Xing; Zichao Yang; Zhiting Hu (CoRR, 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

Cognitive Bias in High-Stakes Decision-Making with LLMs. - Jessica Maria Echterhoff; Yao Liu 017; Abeer Alessa; Julian J. McAuley; Zexue He (CoRR, 2024)

Bridging Language and Items for Retrieval and Recommendation. - Yupeng Hou; Jiacheng Li 003; Zhankui He; An Yan 003; Xiusi Chen; Julian J. McAuley (CoRR, 2024)

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. - Xiaoyu Liu 003; Paiheng Xu; Junda Wu; Jiaxin Yuan; Yifan Yang; Yuhang Zhou; Fuxiao Liu; Tianrui Guan; Haoliang Wang; Tong Yu 001; Julian J. McAuley; Wei Ai 002; et al. (CoRR, 2024)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. - Yu Xia; Rui Wang 088; Xu Liu; Mingyan Li; Tong Yu 001; Xiang Chen; Julian J. McAuley; Shuai Li 010 (CoRR, 2024)

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. - An Yan 003; Zhengyuan Yang; Junda Wu; Wanrong Zhu; Jianwei Yang; Linjie Li; Kevin Lin; Jianfeng Wang; Julian J. McAuley; Jianfeng Gao 001; Lijuan Wang (CoRR, 2024)

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. - Zhiyu Zoey Chen; Jing Ma; Xinlu Zhang; Nan Hao; An Yan 003; Armineh Nourbakhsh; Xianjun Yang; Julian J. McAuley; Linda R. Petzold; William Yang Wang (CoRR, 2024)

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. - Zhankui He; Zhouhang Xie; Harald Steck; Dawen Liang; Rahul Jha; Nathan Kallus; Julian J. McAuley (CoRR, 2024)

Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation. - Se-eun Yoon; Hyunsik Jeon; Julian J. McAuley (CoRR, 2024)

Large Scale Knowledge Washing. - Yu Wang 160; Ruihan Wu; Zexue He; Xiusi Chen; Julian J. McAuley (CoRR, 2024)

Multi-Behavior Generative Recommendation. - Zihan Liu; Yupeng Hou; Julian J. McAuley (CoRR, 2024)

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. - Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (CoRR, 2024)

Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. - Yueqi Wang; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (CoRR, 2024)

Mitigating Hallucination in Fictional Character Role-Play. - Nafis Sadeq; Zhouhang Xie; Byungkyu Kang; Prarit Lamba; Xiang Gao; Julian J. McAuley (CoRR, 2024)

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation. - Junda Wu; Zachary Novack; Amit Namburi; Jiaheng Dai; Hao-Wen Dong; Zhouhang Xie; Carol Chen; Julian J. McAuley (CoRR, 2024)

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. - Junda Wu; Xintong Li; Tong Yu 001; Yu Wang 160; Xiang Chen; Jiuxiang Gu; Lina Yao 001; Jingbo Shang; Julian J. McAuley (CoRR, 2024)

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation. - Hyunsik Jeon; Se-eun Yoon; Julian J. McAuley (CoRR, 2024)

Forecasting Live Chat Intent from Browsing History. - Se-eun Yoon; Ahmad Bin Rabiah; Zaid Alibadi; Surya Kallumadi; Julian J. McAuley (CoRR, 2024)

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. - Tingchen Fu; Yupeng Hou; Julian J. McAuley; Rui Yan 001 (CoRR, 2024)

Large Language Model Driven Recommendation. - Anton Korikov; Scott Sanner; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Arnau Ramisa; René Vidal; Mahesh Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

A Fashion Item Recommendation Model in Hyperbolic Space. - Ryotaro Shimizu; Yu Wang 160; Masanari Kimura; Yuki Hirakawa; Takashi Wada 001; Yuki Saito; Julian J. McAuley (CoRR, 2024)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Taylor Berg-Kirkpatrick; Julian J. McAuley (CoRR, 2024)

Multi-modal Generative Models in Recommendation System. - Arnau Ramisa; René Vidal; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Mahesh Sathiamoorthy; Atoosa Kasrizadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Towards LifeSpan Cognitive Systems. - Yu Wang 160; Chi Han; Tongtong Wu; Xiaoxin He; Wangchunshu Zhou; Nafis Sadeq; Xiusi Chen; Zexue He; Wei Wang; Gholamreza Haffari; Heng Ji; Julian J. McAuley (CoRR, 2024)

Recommendation with Generative Models. - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasrizadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Visual Prompting in Multimodal Large Language Models: A Survey. - Junda Wu; Zhehao Zhang; Yu Xia; Xintong Li; Zhaoyang Xia; Aaron Chang; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ruiyi Zhang; Subrata Mitra; Dimitris N. Metaxas; et al. (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia; Tong Yu 001; Ruiyi Zhang; Sungchul Kim; Ryan Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. - Yueqi Wang; Zhenrui Yue; Huimin Zeng; Dong Wang 002; Julian J. McAuley (CoRR, 2024)

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. - Zhe Liu 023; Yun Li; Lina Yao 001; Julian J. McAuley; Sam Dixon (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Review of Modern Fashion Recommender Systems. - Yashar Deldjoo; Fatemeh Nazary; Arnau Ramisa; Julian J. McAuley; Giovanni Pellegrini; Alejandro Bellogín; Tommaso Di Noia (ACM Comput. Surv., 2024)

Special Issue on Responsible Recommender Systems Part 1. - Lina Yao 001; Julian J. McAuley; Xianzhi Wang 001; Dietmar Jannach (ACM Trans. Intell. Syst. Technol., 2024)

Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with Rationales. - Shuyang Li; Bodhisattwa Prasad Majumder; Julian J. McAuley (Trans. Recomm. Syst., 2025)