Julian J. McAuley
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
252
Venues
38
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*EMNLP29 papers
- A*WWW22 papers
- A*ACL21 papers
- ARecSys20 papers
- A*KDD17 papers
- ACIKM16 papers
- A*ICLR13 papers
- ANAACL13 papers
- AWSDM12 papers
- A*ICML12 papers
- A*SIGIR10 papers
- A*AAAI9 papers
- A*ICDM7 papers
- AEACL5 papers
- A*CVPR5 papers
- MulticonferenceICASSP5 papers
- A*IJCAI4 papers
- BIJCNLP3 papers
- AWACV3 papers
- AInterspeech3 papers
- BPAKDD2 papers
- BCOLING2 papers
- A*ICCV2 papers
- ASDM2 papers
- UnrankedSENSYS2 papers
- MulticonferenceICCS1 paper
- AIROS1 paper
- AECIR1 paper
- CICMLA1 paper
- A*CHI1 paper
- CACML1 paper
- AUAI1 paper
- AICER1 paper
- NationalAMIA1 paper
- BIJCNN1 paper
- AICWSM1 paper
- A*ECCV1 paper
- ABMVC1 paper
Papers
252 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Inductive Generative Recommendation via Retrieval-based Speculation. | Yijie Ding, Jiacheng Li, Julian J. McAuley, Yupeng Hou |
| 2026 | ACL | Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders. | Yupeng Hou, Jiacheng Li, Xiangjun Fu, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley |
| 2026 | ACL | Evaluating Language Model Pluralism through In-the-wild Crowd Discussions. | Gagan Mundada, Rohan Surana, Nandhini Swaminathan, Bodhisattwa Prasad Majumder, Junda Wu, Julian J. McAuley, Zhouhang Xie |
| 2026 | ACL | SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes. | Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | EACL | When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation. | Xunyi Jiang, Dingyi Chang, Julian J. McAuley, Xin Xu |
| 2026 | PAKDD | Hierarchical Graph-Language Models for Sequential Sentence Classification. | Phuong Nguyen, Tuan M. V. Le, Julian J. McAuley |
| 2026 | PAKDD | Federated Large Language Models: Current Progress and Future Directions. | Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong |
| 2026 | WWW | Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations. | Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley |
| 2026 | WWW | The 2nd Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun |
| 2026 | SIGIR | ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation. | Johannes Kruse, Ryotaro Shimizu, Kasper Lindskow, Jon Tofteskov, Michael Riis Andersen, Julian J. McAuley, Jes Frellsen |
| 2026 | SIGIR | CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning. | Boyang Wang, Yash Vishe, Xin Xu, Zachary Novack, Xunyi Jiang, Julian J. McAuley, Junda Wu |
| 2026 | WSDM | Dual Conditional Diffusion for Sequential Recommendation. | Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao |
| 2026 | WSDM | Third Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | ACL | Doc-React: Multi-page Heterogeneous Document Question-answering. | Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha |
| 2025 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley |
| 2025 | CIKM | Towards Large Generative Recommendation: A Tokenization Perspective. | Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | COLING | Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. | Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | COLING | Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. | Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li |
| 2025 | CVPR | Symbolic Representation for Any-to-Any Generative Tasks. | Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian J. McAuley, Li-jia Li |
| 2025 | EMNLP | Image Difference Captioning via Adversarial Preference Optimization. | Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley |
| 2025 | EMNLP | CoMMIT: Coordinated Multimodal Instruction Tuning. | Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2025 | EMNLP | WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning. | Gagan Mundada, Yash Vishe, Amit Namburi, Xin Xu, Zachary Novack, Julian J. McAuley, Junda Wu |
| 2025 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | EMNLP | SAND: Boosting LLM Agents with Self-Taught Action Deliberation. | Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley |
| 2025 | EMNLP | Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs. | Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley |
| 2025 | EMNLP | Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics. | Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley |
| 2025 | ICASSP | PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. | Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2025 | ICASSP | CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation. | Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley |
| 2025 | ICASSP | FUTGA-MIR: Enhancing Fine-grained and Temporally-aware Music Understanding with Music Information Retrieval. | Junda Wu, Zachary Novack, Amit Namburi, Hao-Wen Dong, Carol Chen, Jiaheng Dai, Julian J. McAuley |
| 2025 | ICCS | A Deeper Look into the Limitations of Early-Exit Architectures for Single and Multi-label Classification. | Klaudia Balazy, Julian J. McAuley, Jacek Tabor |
| 2025 | ICLR | Self-Updatable Large Language Models by Integrating Context into Model Parameters. | Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley |
| 2025 | ICLR | Large Scale Knowledge Washing. | Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley |
| 2025 | ICLR | Presto! Distilling Steps and Layers for Accelerating Music Generation. | Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan |
| 2025 | ICLR | OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. | Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | ICLR | TeaserGen: Generating Teasers for Long Documentaries. | Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong |
| 2025 | ICLR | Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement. | Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian J. McAuley, Hiroki Naganuma |
| 2025 | ICML | M+: Extending MemoryLLM with Scalable Long-Term Memory. | Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogrio Feris, Zexue He |
| 2025 | ICML | ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. | Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng |
| 2025 | IJCNLP | Quantifying Cognitive Bias Induction in LLM-Generated Content. | Abeer Alessa, Param Somane, Akshaya Lakshminarasimhan, Julian Skirzynski, Julian J. McAuley, Jessica Maria Echterhoff |
| 2025 | IROS | Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. | Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao |
| 2025 | KDD | International Workshop on Online and Adaptive Recommender Systems (OARS 2025). | Xiquan Cui, Derek Zhiyuan Cheng, Fei Liu, Tao Ye, Julian J. McAuley, Vachik S. Dave, Stephen Guo |
| 2025 | KDD | Generating Long Semantic IDs in Parallel for Recommendation. | Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley |
| 2025 | KDD | Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. | Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley |
| 2025 | KDD | Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? | Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park |
| 2025 | KDD | Second Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis |
| 2025 | KDD | The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | KDD | Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation. | Zhenrui Yue, Huimin Zeng, Yueqi Wang, Julian J. McAuley, Dong Wang |
| 2025 | NAACL | Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. | Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan |
| 2025 | NAACL | Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. | Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang |
| 2025 | NAACL | Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. | Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley |
| 2025 | NAACL | Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision. | Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder |
| 2025 | RecSys | Normative Alignment of Recommender Systems via Internal Label Shift. | Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Ryotaro Shimizu, Julian J. McAuley, Pierre-Alexandre Mattei, Jes Frellsen |
| 2025 | RecSys | A Tutorial on Agentic LLM for Recommender Systems. | Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | RecSys | The Second Workshop on Generative AI for E-commerce. | Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Topojoy Biswas, Evren Krpeoglu, Marios Savvides, Yongfeng Zhang, Julian J. McAuley |
| 2025 | RecSys | First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec). | Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz |
| 2025 | WWW | Generative Recommendation Models: Progress and Directions. | Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley |
| 2025 | WWW | Bridging Conversational and Collaborative Signals for Conversational Recommendation. | Ahmad Bin Rabiah, Nafis Sadeq, Julian J. McAuley |
| 2025 | WWW | Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. | Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley |
| 2025 | WWW | The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | SIGIR | Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. | Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley |
| 2025 | SIGIR | GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. | Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley |
| 2025 | WSDM | Tutorial on Recommendation with Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2025 | WSDM | 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 |
| 2025 | WSDM | Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. | Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | AAAI | Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. | Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley |
| 2024 | AAAI | 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 |
| 2024 | ACL | InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. | Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley |
| 2024 | ACL | DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. | Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley |
| 2024 | ACL | 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 |
| 2024 | ACL | Small Models are Valuable Plug-ins for Large Language Models. | Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley |
| 2024 | CIKM | International Workshop on Online and Adaptive Recommender Systems (OARS 2024). | Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen |
| 2024 | CIKM | Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation. | Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley |
| 2024 | CIKM | Multi-Behavior Generative Recommendation. | Zihan Liu, Yupeng Hou, Julian J. McAuley |
| 2024 | CIKM | Forecasting Live Chat Intent from Browsing History. | Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley |
| 2024 | ECIR | Large Language Models are Zero-Shot Rankers for Recommender Systems. | Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao |
| 2024 | EMNLP | Cognitive Bias in Decision-Making with LLMs. | Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He |
| 2024 | EMNLP | Mitigating Hallucination in Fictional Character Role-Play. | Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley |
| 2024 | EMNLP | Linear Layer Extrapolation for Fine-Grained Emotion Classification. | Mayukh Sharma, Sean O'Brien, Julian J. McAuley |
| 2024 | EMNLP | Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. | Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley |
| 2024 | ICLR | RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. | Tianyang Liu, Canwen Xu, Julian J. McAuley |
| 2024 | ICML | Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. | Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Zichao Yang, Eric P. Xing, Zhiting Hu |
| 2024 | ICML | 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 |
| 2024 | ICML | DITTO: Diffusion Inference-Time T-Optimization for Music Generation. | Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan |
| 2024 | ICML | MEMORYLLM: Towards Self-Updatable Large Language Models. | Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley |
| 2024 | KDD | A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2024 | KDD | 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 |
| 2024 | KDD | CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. | Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley |
| 2024 | NAACL | Extending Input Contexts of Language Models through Training on Segmented Sequences. | Petros Karypis, Julian J. McAuley, George Karypis |
| 2024 | NAACL | Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. | Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li |
| 2024 | NAACL | 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, Nikhil Rao |
| 2024 | NAACL | Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. | Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley |
| 2024 | RecSys | 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, Enrico Palumbo |
| 2024 | RecSys | MAWI Rec: Leveraging Severe Weather Data in Recommendation. | Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2024 | RecSys | 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 |
| 2024 | WWW | InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. | Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley |
| 2024 | WWW | Off-Policy Evaluation for Large Action Spaces via Policy Convolution. | Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2024 | WWW | AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. | Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen |
| 2024 | SIGIR | Fair Sequential Recommendation without User Demographics. | Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | WACV | Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. | Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley |
| 2024 | WSDM | Linear Recurrent Units for Sequential Recommendation. | Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang |
| 2023 | AAAI | "Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. | Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu |
| 2023 | AAAI | Factual and Informative Review Generation for Explainable Recommendation. | Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder |
| 2023 | AAAI | A Survey on Model Compression and Acceleration for Pretrained Language Models. | Canwen Xu, Julian J. McAuley |
| 2023 | ACL | Synthetic Pre-Training Tasks for Neural Machine Translation. | Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogrio Feris |
| 2023 | ACL | 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 |
| 2023 | CIKM | The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. | Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang |
| 2023 | CIKM | 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 |
| 2023 | EACL | Assistive Recipe Editing through Critiquing. | Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley |
| 2023 | EACL | Unsupervised Improvement of Factual Knowledge in Language Models. | Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley |
| 2023 | EACL | A Survey on Dynamic Neural Networks for Natural Language Processing. | Canwen Xu, Julian J. McAuley |
| 2023 | EMNLP | MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. | Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu |
| 2023 | EMNLP | InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. | Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley |
| 2023 | EMNLP | Spoiler Detection as Semantic Text Matching. | Ryan Tran, Canwen Xu, Julian J. McAuley |
| 2023 | EMNLP | Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. | Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley |
| 2023 | ICASSP | Multitrack Music Transformer. | Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick |
| 2023 | ICCV | Learning Concise and Descriptive Attributes for Visual Recognition. | An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley |
| 2023 | ICLR | CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. | Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick |
| 2023 | ICML | LongCoder: A Long-Range Pre-trained Language Model for Code Completion. | Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley |
| 2023 | ICML | CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. | Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg |
| 2023 | ICMLA | Improving Robustness of Convolutional Networks Through Sleep-Like Replay. | Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov |
| 2023 | KDD | Generative Flow Network for Listwise Recommendation. | Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | KDD | 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, Stephen D. Guo, Chip Huyen |
| 2023 | KDD | UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. | Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley |
| 2023 | KDD | Text Is All You Need: Learning Language Representations for Sequential Recommendation. | Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley |
| 2023 | WWW | Jointly modeling products and resource pages for task-oriented recommendation. | Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2023 | WWW | Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. | Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao |
| 2023 | WWW | Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. | Canwen Xu, Julian J. McAuley, Penghan Wang |
| 2023 | WSDM | Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. | Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu |
| 2022 | AAAI | Leashing the Inner Demons: Self-Detoxification for Language Models. | Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley |
| 2022 | ACL | SkipBERT: Efficient Inference with Shallow Layer Skipping. | Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley |
| 2022 | ACL | UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. | Jiacheng Li, Jingbo Shang, Julian J. McAuley |
| 2022 | ACL | Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. | Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2022 | ACL | LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. | Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley |
| 2022 | ACL | BERT Learns to Teach: Knowledge Distillation with Meta Learning. | Wangchunshu Zhou, Canwen Xu, Julian J. McAuley |
| 2022 | CHI | AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks. | Jessica Maria Echterhoff, Matin Yarmand, Julian J. McAuley |
| 2022 | CIKM | Query-Aware Sequential Recommendation. | Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley |
| 2022 | CIKM | SPOT: Knowledge-Enhanced Language Representations for Information Extraction. | Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu |
| 2022 | CIKM | Rank List Sensitivity of Recommender Systems to Interaction Perturbations. | Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar |
| 2022 | EMNLP | Controlling Bias Exposure for Fair Interpretable Predictions. | Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder |
| 2022 | EMNLP | SHARE: a System for Hierarchical Assistive Recipe Editing. | Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley |
| 2022 | EMNLP | InforMask: Unsupervised Informative Masking for Language Model Pretraining. | Nafis Sadeq, Canwen Xu, Julian J. McAuley |
| 2022 | EMNLP | Efficiently Tuned Parameters Are Task Embeddings. | Wangchunshu Zhou, Canwen Xu, Julian J. McAuley |
| 2022 | ICASSP | Deep Performer: Score-to-Audio Music Performance Synthesis. | Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2022 | ICML | Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. | Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley |
| 2022 | KDD | 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, Kamelia Aryafar, Mohammed Korayem |
| 2022 | NAACL | Instilling Type Knowledge in Language Models via Multi-Task QA. | Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley |
| 2022 | NAACL | Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. | Han Wang, Canwen Xu, Julian J. McAuley |
| 2022 | RecSys | Bundle MCR: Towards Conversational Bundle Recommendation. | Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
| 2022 | RecSys | Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. | Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley |
| 2022 | WWW | Intent Contrastive Learning for Sequential Recommendation. | Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong |
| 2022 | WWW | Personalized Complementary Product Recommendation. | An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley |
| 2022 | SIGIR | Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. | Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang |
| 2022 | SIGIR | Coarse-to-Fine Sparse Sequential Recommendation. | Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley |
| 2022 | WACV | Cross-modal Adversarial Reprogramming. | Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley |
| 2022 | WSDM | On Sampling Collaborative Filtering Datasets. | Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley |
| 2021 | ACL | Weakly Supervised Named Entity Tagging with Learnable Logical Rules. | Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng |
| 2021 | ACL | Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. | Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani |
| 2021 | ACML | Expressive Neural Voice Cloning. | Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley |
| 2021 | CIKM | Locker: Locally Constrained Self-Attentive Sequential Recommendation. | Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley |
| 2021 | EACL | 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 J. McAuley |
| 2021 | EMNLP | Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. | Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley |
| 2021 | EMNLP | Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei |
| 2021 | EMNLP | Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. | An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu |
| 2021 | KDD | Workshop on Online and Adaptative Recommender Systems (OARS). | Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem |
| 2021 | NAACL | 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 |
| 2021 | NAACL | 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 J. McAuley, Furu Wei |
| 2021 | RecSys | Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption. | Jrmie Rappaz, Julian J. McAuley, Karl Aberer |
| 2021 | RecSys | Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. | Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |
| 2021 | WACV | Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. | Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley |
| 2021 | UAI | ReZero is all you need: fast convergence at large depth. | Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley |
| 2020 | EMNLP | Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. | Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2020 | EMNLP | Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley |
| 2020 | EMNLP | Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. | Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley |
| 2020 | ICER | A Longitudinal Evaluation of a Best Practices CS1. | Adrian Salguero, Julian J. McAuley, Beth Simon, Leo Porter |
| 2020 | Interspeech | Speech Recognition and Multi-Speaker Diarization of Long Conversations. | Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell |
| 2020 | WWW | Attentive Sequential Models of Latent Intent for Next Item Recommendation. | Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley |
| 2020 | SIGIR | How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. | Noveen Sachdeva, Julian J. McAuley |
| 2020 | WSDM | Time Interval Aware Self-Attention for Sequential Recommendation. | Jiacheng Li, Yujie Wang, Julian J. McAuley |
| 2020 | WSDM | Addressing Marketing Bias in Product Recommendations. | Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley |
| 2020 | SDM | Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. | Hengrui Zhang, Julian J. McAuley |
| 2019 | ACL | Fine-Grained Spoiler Detection from Large-Scale Review Corpora. | Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley |
| 2019 | CIKM | CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. | An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2019 | CVPR | Complete the Look: Scene-Based Complementary Product Recommendation. | Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley |
| 2019 | EMNLP | Generating Personalized Recipes from Historical User Preferences. | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley |
| 2019 | EMNLP | Improving Neural Story Generation by Targeted Common Sense Grounding. | Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell |
| 2019 | EMNLP | Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. | Jianmo Ni, Jiacheng Li, Julian J. McAuley |
| 2019 | EMNLP | Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. | Liliang Ren, Jianmo Ni, Julian J. McAuley |
| 2019 | ICLR | Adversarial Audio Synthesis. | Chris Donahue, Julian J. McAuley, Miller S. Puckette |
| 2019 | Interspeech | Expediting TTS Synthesis with Adversarial Vocoding. | Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley |
| 2019 | Interspeech | Universal Adversarial Perturbations for Speech Recognition Systems. | Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar |
| 2019 | NAACL | Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. | Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley |
| 2019 | WWW | Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. | Jianmo Ni, Larry Muhlstein, Julian J. McAuley |
| 2018 | ACL | Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. | Jianmo Ni, Julian J. McAuley |
| 2018 | CIKM | Recommendation Through Mixtures of Heterogeneous Item Relationships. | Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2018 | CIKM | Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. | Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley |
| 2018 | ICDM | Self-Attentive Sequential Recommendation. | Wang-Cheng Kang, Julian J. McAuley |
| 2018 | ICLR | Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. | Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley |
| 2018 | ICLR | Synthesizing Audio with GANs. | Chris Donahue, Julian J. McAuley, Miller S. Puckette |
| 2018 | ICLR | Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders. | Nathan H. Ng, Julian J. McAuley, Julian Gingold, Nina Desai, Zachary C. Lipton |
| 2018 | IJCAI | Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. | Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2018 | RecSys | Learning within-session budgets from browsing trajectories. | Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley |
| 2018 | RecSys | Learning consumer and producer embeddings for user-generated content recommendation. | Wang-Cheng Kang, Julian J. McAuley |
| 2018 | RecSys | Decomposing fit semantics for product size recommendation in metric spaces. | Rishabh Misra, Mengting Wan, Julian J. McAuley |
| 2018 | RecSys | Translation-based factorization machines for sequential recommendation. | Rajiv Pasricha, Julian J. McAuley |
| 2018 | RecSys | Item recommendation on monotonic behavior chains. | Mengting Wan, Julian J. McAuley |
| 2018 | SENSYS | Scrabble: transferrable semi-automated semantic metadata normalization using intermediate representation. | Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Yuvraj Agarwal |
| 2018 | SDM | One-Class Recommendation with Asymmetric Textual Feedback. | Mengting Wan, Julian J. McAuley |
| 2017 | AAAI | 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 |
| 2017 | AMIA | 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 |
| 2017 | ICDM | Visually-Aware Fashion Recommendation and Design with Generative Image Models. | Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2017 | ICLR | Dance Dance Convolution. | Chris Donahue, Zachary C. Lipton, Julian J. McAuley |
| 2017 | ICML | Dance Dance Convolution. | Chris Donahue, Zachary C. Lipton, Julian J. McAuley |
| 2017 | IJCAI | SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. | Chenwei Cai, Ruining He, Julian J. McAuley |
| 2017 | IJCAI | Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. | Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi |
| 2017 | IJCNLP | Estimating Reactions and Recommending Products with Generative Models of Reviews. | Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley |
| 2017 | IJCNLP | IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017). | Anil Kumar Singh, Avijit Thawani, Mayank Panchal, Anubhav Gupta, Julian J. McAuley |
| 2017 | IJCNN | Improving recommendation accuracy using networks of substitutable and complementary products. | Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King |
| 2017 | RecSys | Translation-based Recommendation. | Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2017 | WWW | Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. | Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley |
| 2017 | SIGIR | Generating and Personalizing Bundle Recommendations on | Apurva Pathak, Kshitiz Gupta, Julian J. McAuley |
| 2017 | SENSYS | Scrabble: converting unstructured metadata into brick for many buildings. | Jason Koh, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Bharathan Balaji, Yuvraj Agarwal |
| 2017 | WSDM | Bartering Books to Beers: A Recommender System for Exchange Platforms. | Jrmie Rappaz, Maria-Luiza Vladarean, Julian J. McAuley, Michele Catasta |
| 2016 | AAAI | VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. | Ruining He, Julian J. McAuley |
| 2016 | CVPR | Pairwise Matching through Max-Weight Bipartite Belief Propagation. | Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel |
| 2016 | ICDM | Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. | Ruining He, Julian J. McAuley |
| 2016 | ICDM | Learning Compatibility Across Categories for Heterogeneous Item Recommendation. | Ruining He, Charles Packer, Julian J. McAuley |
| 2016 | ICDM | Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. | Mengting Wan, Julian J. McAuley |
| 2016 | IJCAI | Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering. | Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley |
| 2016 | RecSys | Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. | Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2016 | WWW | Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. | Ruining He, Chunbin Lin, Julian J. McAuley |
| 2016 | WWW | Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. | Ruining He, Julian J. McAuley |
| 2016 | WWW | Addressing Complex and Subjective Product-Related Queries with Customer Reviews. | Julian J. McAuley, Alex Yang |
| 2015 | CIKM | Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. | Tong Zhao, Julian J. McAuley, Irwin King |
| 2015 | ICCV | Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences. | Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie |
| 2015 | KDD | Inferring Networks of Substitutable and Complementary Products. | Julian J. McAuley, Rahul Pandey, Jure Leskovec |
| 2015 | RecSys | Top-N Recommendation with Missing Implicit Feedback. | Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet |
| 2015 | SIGIR | Image-Based Recommendations on Styles and Substitutes. | Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel |
| 2014 | CIKM | Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. | Tong Zhao, Julian J. McAuley, Irwin King |
| 2014 | WWW | Finding progression stages in time-evolving event sequences. | Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah |
| 2014 | WSDM | Detecting cohesive and 2-mode communities indirected and undirected networks. | Jaewon Yang, Julian J. McAuley, Jure Leskovec |
| 2013 | ICDM | Community Detection in Networks with Node Attributes. | Jaewon Yang, Julian J. McAuley, Jure Leskovec |
| 2013 | ICWSM | What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media. | Himabindu Lakkaraju, Julian J. McAuley, Jure Leskovec |
| 2013 | RecSys | Hidden factors and hidden topics: understanding rating dimensions with review text. | Julian J. McAuley, Jure Leskovec |
| 2013 | WWW | From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews. | Julian J. McAuley, Jure Leskovec |
| 2012 | ECCV | Image Labeling on a Network: Using Social-Network Metadata for Image Classification. | Julian J. McAuley, Jure Leskovec |
| 2012 | ICDM | Learning Attitudes and Attributes from Multi-aspect Reviews. | Julian J. McAuley, Jure Leskovec, Dan Jurafsky |
| 2010 | CVPR | Unified graph matching in Euclidean spaces. | Julian J. McAuley, Teofilo de Campos, Tibrio S. Caetano |
| 2010 | ICML | Exploiting Data-Independence for Fast Belief-Propagation. | Julian J. McAuley, Tibrio S. Caetano |
| 2009 | BMVC | Hierarchical Image-Region Labeling via Structured Learning. | Julian J. McAuley, Tefilo Emdio de Campos, Gabriela Csurka, Florent Perronnin |
| 2009 | CVPR | Shape classification through structured learning of matching measures. | Longbin Chen, Julian J. McAuley, Rogrio Schmidt Feris, Tibrio S. Caetano, Matthew Turk |
| 2006 | ICML | Learning high-order MRF priors of color images. | Julian J. McAuley, Tibrio S. Caetano, Alexander J. Smola, Matthias O. Franz |