Julian J. McAuley

588 papers A* 98A 67B 6C 2Misc 6Journal 310Unranked 95
YearRankTypeTitle / Venue / Authors
2026 J jnl
AMPS: Adaptive Modality Preference Steering via Functional Entropy.
CoRR
Zihan Huang, Xintong Li, Rohan Surana, Tong Yu, Rui Wang, Julian J. McAuley, Jingbo Shang, Junda Wu
2026 J jnl
AgenticTagger: Structured Item Representation for Recommendation with LLM Agents.
CoRR
Zhouhang Xie, Bo Peng, Zhankui He, Ziqi Chen, Alice Han, Isabella Ye, Benjamin Coleman, Noveen Sachdeva, Fernando Pereira, Julian J. McAuley, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang, Randolph Brown
2026 J jnl
CSyMR: Benchmarking Compositional Symbolic Muisc Reasoning With MIR Tool Integration.
CoRR
Boyang Wang, Yash Vishe, Xin Xu, Zachary Novack, Julian J. McAuley, Junda Wu
2026 A conf
Dual Conditional Diffusion for Sequential Recommendation.
WSDM
Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao
2026 J jnl
Evaluation on Entity Matching in Recommender Systems.
CoRR
Zihan Huang, Rohan Surana, Zhouhang Xie, Junda Wu, Yu Xia, Julian J. McAuley
2026 J jnl
FASA: Frequency-aware Sparse Attention.
CoRR
Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian J. McAuley
2026 J jnl
FusID: Modality-Fused Semantic IDs for Generative Music Recommendation.
CoRR
Haven Kim, Yupeng Hou, Julian J. McAuley
2026 J jnl
How Well Does Generative Recommendation Generalize?
CoRR
Yijie Ding, Zitian Guo, Jiacheng Li, Letian Peng, Shuai Shao, Wei Shao, Xiaoqiang Luo, Luke Simon, Jingbo Shang, Julian J. McAuley, Yupeng Hou
2026 A* conf
Inductive Generative Recommendation via Retrieval-based Speculation.
AAAI
Yijie Ding, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2026 J jnl
Low-Resource Guidance for Controllable Latent Audio Diffusion.
CoRR
Zachary Novack, Zack Zukowski, CJ Carr, Julian Parker, Zach Evans, Josiah Taylor, Taylor Berg-Kirkpatrick, Julian J. McAuley, Jordi Pons
2026 J jnl
MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks.
CoRR
Zexue He, Yu Wang, Churan Zhi, Yuanzhe Hu, Tzu-Ping Chen, Lang Yin, Ze Chen, Tong Arthur Wu, Siru Ouyang, Zihan Wang, Jiaxin Pei, Julian J. McAuley, Yejin Choi, Alex Pentland
2026 A* conf
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
WWW
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2026 — ed.
Proceedings of the DaQuaMRec 2025 Workshop on Data Quality-Aware Multimodal Recommendation co-located with RecSys 2025, Prague, Czech Republic, September 22, 2025.
DaQuaMRec@RecSys
Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz
2026 J jnl
Reliable and Responsible Foundation Models: A Comprehensive Survey.
CoRR
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2026 J jnl
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.
CoRR
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026 J jnl
SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes.
CoRR
Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang
2026 J jnl
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces.
CoRR
Xin Xu, Tong Yu, Xiang Chen, Haoliang Wang, Julian J. McAuley, Saayan Mitra
2026 A conf
Third Workshop on Generative AI for Recommender Systems and Personalization.
WSDM
Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2026 J jnl
WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning.
CoRR
Gagan Mundada, Zihan Huang, Rohan Surana, Sheldon Yu, Jennifer Yuntong Zhang, Xintong Li, Tong Yu, Lina Yao, Jingbo Shang, Julian J. McAuley, Xiaojun Wu
2026 — conf
When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation.
EACL (Volume 2: Short Papers)
Xunyi Jiang, Dingyi Chang, Julian J. McAuley, Xin Xu
2025 — conf
A Deeper Look into the Limitations of Early-Exit Architectures for Single and Multi-label Classification.
ICCS (1)
Klaudia Balazy, Julian J. McAuley, Jacek Tabor
2025 J jnl
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms.
CoRR
Chengkai Huang, Hongtao Huang, Tong Yu, Kaige Xie, Junda Wu, Shuai Zhang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2025 J jnl
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models.
CoRR
Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan A. Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, Julian J. McAuley
2025 A conf
A Tutorial on Agentic LLM for Recommender Systems.
RecSys
Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao
2025 A* conf
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.
ICML
Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025 J jnl
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.
CoRR
Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025 J jnl
Active Learning for Direct Preference Optimization.
CoRR
Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu
2025 — conf
Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation.
KDD (2)
Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley
2025 — conf
Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks.
ISMIR
Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025 J jnl
Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks.
CoRR
Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025 B conf
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
COLING
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2025 J jnl
BiasEdit: Debiasing Stereotyped Language Models via Model Editing.
CoRR
Xin Xu, Wei Xu, Ningyu Zhang, Julian J. McAuley
2025 J jnl
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses.
CoRR
Xin Xu, Xunzhi He, Churan Zhi, Ruizhe Chen, Julian J. McAuley, Zexue He
2025 — conf
Bridging Conversational and Collaborative Signals for Conversational Recommendation.
WWW (Companion Volume)
Ahmad Bin Rabiah, Nafis Sadeq, Julian J. McAuley
2025 J jnl
CTRLS: Chain-of-Thought Reasoning via Latent State-Transition.
CoRR
Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley
2025 J jnl
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks.
CoRR
Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 Misc conf
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation.
ICASSP
Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley
2025 A* conf
CoMMIT: Coordinated Multimodal Instruction Tuning.
EMNLP
Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang
2025 A* conf
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.
EMNLP
Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley
2025 J jnl
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.
CoRR
Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian J. McAuley
2025 B conf
Contrastive Self-Supervised Learning for Text Incoherence Detection.
IEEE Big Data
Phuong Nguyen, Tuan M. V. Le, Julian J. McAuley
2025 J jnl
CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs.
CoRR
Jay Vaghasiya, Omkar Ghugarkar, Vishvesh Bhat, Vipul Dholaria, Julian J. McAuley
2025 J jnl
DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer.
CoRR
Ruoyu Wang, Junda Wu, Yu Xia, Tong Yu, Ryan A. Rossi, Julian J. McAuley, Lina Yao
2025 A* conf
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.
WWW
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 — conf
Doc-React: Multi-page Heterogeneous Document Question-answering.
ACL (2)
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 B conf
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models.
COLING
Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao
2025 J jnl
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.
CoRR
Yuanzhe Hu, Yu Wang, Julian J. McAuley
2025 — conf
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.
EMNLP (Findings)
Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley
2025 J jnl
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics.
CoRR
Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley
2025 Misc conf
FUTGA-MIR: Enhancing Fine-grained and Temporally-aware Music Understanding with Music Information Retrieval.
ICASSP
Junda Wu, Zachary Novack, Amit Namburi, Hao-Wen Dong, Carol Chen, Jiaheng Dai, Julian J. McAuley
2025 — conf
Fast Text-to-Audio Generation with Adversarial Post-Training.
WASPAA
Zachary Novack, Zach Evans, Zack Zukowski, Josiah Taylor, CJ Carr, Julian Parker, Adnan Al-Sinan, Gian Marco Iodice, Julian J. McAuley, Taylor Berg-Kirkpatrick, Jordi Pons
2025 J jnl
Fast Text-to-Audio Generation with Adversarial Post-Training.
CoRR
Zachary Novack, Zach Evans, Zack Zukowski, Josiah Taylor, CJ Carr, Julian Parker, Adnan Al-Sinan, Gian Marco Iodice, Julian J. McAuley, Taylor Berg-Kirkpatrick, Jordi Pons
2025 A conf
First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec).
RecSys
Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz
2025 J jnl
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System.
CoRR
Rohan Surana, Junda Wu, Zhouhang Xie, Yu Xia, Harald Steck, Dawen Liang, Nathan Kallus, Julian J. McAuley
2025 — conf
From Selection to Generation: A Survey of LLM-based Active Learning.
ACL (1)
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 J jnl
From Selection to Generation: A Survey of LLM-based Active Learning.
CoRR
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 A* conf
GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI.
SIGIR
Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025 J jnl
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation.
CoRR
Ahmad Bin Rabiah, Julian J. McAuley
2025 — conf
Generating Long Semantic IDs in Parallel for Recommendation.
KDD (2)
Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025 J jnl
Generating Long Semantic IDs in Parallel for Recommendation.
CoRR
Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025 — conf
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset.
ISMIR
Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong
2025 — conf
Generative Recommendation Models: Progress and Directions.
WWW (Companion Volume)
Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025 J jnl
How Much Content Do LLMs Generate That Induces Cognitive Bias in Users?
CoRR
Abeer Alessa, Akshaya Lakshminarasimhan, Param Somane, Julian Skirzynski, Julian J. McAuley, Jessica Maria Echterhoff
2025 A* conf
Image Difference Captioning via Adversarial Preference Optimization.
EMNLP
Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley
2025 J jnl
Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization.
CoRR
Xintong Li, Chuhan Wang, Junda Wu, Rohan Surana, Tong Yu, Julian J. McAuley, Jingbo Shang
2025 J jnl
Improving In-Context Learning with Reasoning Distillation.
CoRR
Nafis Sadeq, Xin Xu, Zhouhang Xie, Julian J. McAuley, Byungkyu Kang, Prarit Lamba, Xiang Gao
2025 J jnl
In-context Ranking Preference Optimization.
CoRR
Junda Wu, Rohan Surana, Zhouhang Xie, Yiran Shen, Yu Xia, Tong Yu, Ryan A. Rossi, Prithviraj Ammanabrolu, Julian J. McAuley
2025 — conf
International Workshop on Online and Adaptive Recommender Systems (OARS 2025).
KDD (2)
Xiquan Cui, Derek Zhiyuan Cheng, Fei Liu, Tao Ye, Julian J. McAuley, Vachik S. Dave, Stephen Guo
2025 J jnl
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems.
ACM Trans. Inf. Syst.
Lina Yao, Julian J. McAuley, Yongfeng Zhang, Kun Zhang
2025 J jnl
Introduction to the Special Issue on Knowledge Transferring for Recommender Systems.
Trans. Recomm. Syst.
Zhiwei Liu, Hao Peng, Caiming Xiong, Julian J. McAuley, Philip S. Yu
2025 — conf
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
NAACL (Long Papers)
Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley
2025 J jnl
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation.
CoRR
Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley
2025 — conf
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
NAACL (Findings)
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 A* conf
Large Scale Knowledge Washing.
ICLR
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
2025 — conf
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision.
NAACL (Long Papers)
Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder
2025 J jnl
Latent Factor Models Meets Instructions:Goal-conditioned Latent Factor Discovery without Task Supervision.
CoRR
Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder
2025 J jnl
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction.
CoRR
Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao
2025 — conf
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
KDD (2)
Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park
2025 J jnl
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
CoRR
Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park
2025 A* conf
M+: Extending MemoryLLM with Scalable Long-Term Memory.
ICML
Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025 J jnl
M+: Extending MemoryLLM with Scalable Long-Term Memory.
CoRR
Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He
2025 A* conf
Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement.
ICLR
Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian J. McAuley, Hiroki Naganuma
2025 J jnl
Mem-α: Learning Memory Construction via Reinforcement Learning.
CoRR
Yu Wang, Ryuichi Takanobu, Zhiqi Liang, Yuzhen Mao, Yuanzhe Hu, Julian J. McAuley, Xiaojian Wu
2025 — conf
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
EMNLP (Findings)
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 J jnl
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
CoRR
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 J jnl
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
CoRR
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
MuseCPBench: an Empirical Study of Music Editing Methods through Music Context Preservation.
CoRR
Yash Vishe, Eric Xue, Xunyi Jiang, Zachary Novack, Junda Wu, Julian J. McAuley, Xin Xu
2025 J jnl
MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding.
CoRR
Jingyue Huang, Zachary Novack, Phillip Long, Yupeng Hou, Ke Chen, Taylor Berg-Kirkpatrick, Julian J. McAuley
2025 J jnl
MusiCRS: Benchmarking Audio-Centric Conversational Recommendation.
CoRR
Rohan Surana, Amit Namburi, Gagan Mundada, Abhay Lal, Zachary Novack, Julian J. McAuley, Junda Wu
2025 A conf
Normative Alignment of Recommender Systems via Internal Label Shift.
RecSys
Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Ryotaro Shimizu, Julian J. McAuley, Pierre-Alexandre Mattei, Jes Frellsen
2025 A* conf
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
ICLR
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 J jnl
On Generalization in Agentic Tool Calling: CoreThink Agentic Reasoner and MAVEN Dataset.
CoRR
Vishvesh Bhat, Omkar Ghugarkar, Julian J. McAuley
2025 J jnl
PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior.
CoRR
Junda Wu, Jessica Maria Echterhoff, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
2025 Misc conf
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.
ICASSP
Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley
2025 J jnl
Pctx: Tokenizing Personalized Context for Generative Recommendation.
CoRR
Qiyong Zhong, Jiajie Su, Yunshan Ma, Julian J. McAuley, Yupeng Hou
2025 J jnl
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Wang, Xiaocong Chen, Julian J. McAuley, Sally Cripps, Lina Yao
2025 J jnl
Pluralistic Off-policy Evaluation and Alignment.
CoRR
Chengkai Huang, Junda Wu, Zhouhang Xie, Yu Xia, Rui Wang, Tong Yu, Subrata Mitra, Julian J. McAuley, Lina Yao
2025 — conf
Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation.
KDD (2)
Zhenrui Yue, Huimin Zeng, Yueqi Wang, Julian J. McAuley, Dong Wang
2025 A* conf
Presto! Distilling Steps and Layers for Accelerating Music Generation.
ICLR
Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2025 J jnl
Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval.
CoRR
Ruohan Zhang, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2025 — conf
Quantifying Cognitive Bias Induction in LLM-Generated Content.
IJCNLP-AACL (long papers)
Abeer Alessa, Param Somane, Akshaya Lakshminarasimhan, Julian Skirzynski, Julian J. McAuley, Jessica Maria Echterhoff
2025 J jnl
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing.
CoRR
Weihan Xu, Yimeng Ma, Jingyue Huang, Yang Li, Wenye Ma, Taylor Berg-Kirkpatrick, Julian J. McAuley, Paul Pu Liang, Hao-Wen Dong
2025 A conf
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.
WSDM
Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2025 J jnl
Reliable and Responsible Foundation Models.
Trans. Mach. Learn. Res.
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025 A* conf
SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
EMNLP
Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 J jnl
SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
CoRR
Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 — conf
Second Workshop on Generative AI for Recommender Systems and Personalization.
KDD (2)
Narges Tabari, Aniket Deshmukh, Wang-Cheng Kang, Julian J. McAuley, James Caverlee, Neil Shah, George Karypis
2025 J jnl
Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with Rationales.
Trans. Recomm. Syst.
Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley
2025 A* conf
Self-Updatable Large Language Models by Integrating Context into Model Parameters.
ICLR
Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley
2025 J jnl
Special Issue on Responsible Recommender Systems Part 2.
ACM Trans. Intell. Syst. Technol.
Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach
2025 J jnl
Steering Autoregressive Music Generation with Recursive Feature Machines.
CoRR
Daniel Zhao, Daniel Beaglehole, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025 J jnl
StylePitcher: Generating Style-Following and Expressive Pitch Curves for Versatile Singing Tasks.
CoRR
Jingyue Huang, Qihui Yang, Fei Yueh Chen, Julian J. McAuley, Randal J. Leistikow, Perry R. Cook, Yongyi Zang
2025 A* conf
Symbolic Representation for Any-to-Any Generative Tasks.
CVPR
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 J jnl
Symbolic Representation for Any-to-Any Generative Tasks.
CoRR
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 A* conf
TeaserGen: Generating Teasers for Long Documentaries.
ICLR
Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong
2025 J jnl
The 2nd Workshop on Human-Centered Recommender Systems.
CoRR
Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun
2025 — conf
The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.
WWW (Companion Volume)
Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025 — conf
The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.
KDD (2)
Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025 A conf
The Second Workshop on Generative AI for E-commerce.
RecSys
Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Topojoy Biswas, Evren Körpeoglu, Marios Savvides, Yongfeng Zhang, Julian J. McAuley
2025 A* conf
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models.
SIGIR
Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025 J jnl
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models.
CoRR
Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025 J jnl
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models.
CoRR
Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Branislav Kveton, Dongruo Zhou, Julian J. McAuley, Lina Yao
2025 A conf
Towards Large Generative Recommendation: A Tokenization Perspective.
CIKM
Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025 J jnl
Towards LifeSpan Cognitive Systems.
Trans. Mach. Learn. Res.
Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley
2025 A conf
Tutorial on Recommendation with Generative Models (Gen-RecSys).
WSDM
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2025 — conf
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.
NAACL (Long Papers)
Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan
2025 — conf
Video-Guided Text-to-Music Generation Using Public Domain Movie Collections.
ISMIR
Haven Kim, Zachary Novack, Weihan Xu, Julian J. McAuley, Hao-Wen Dong
2025 J jnl
Video-Guided Text-to-Music Generation Using Public Domain Movie Collections.
CoRR
Haven Kim, Zachary Novack, Weihan Xu, Julian J. McAuley, Hao-Wen Dong
2025 A conf
Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation.
IROS
Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao
2025 J jnl
Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation.
CoRR
Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao
2025 J jnl
When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation.
CoRR
Xunyi Jiang, Dingyi Chang, Julian J. McAuley, Xin Xu
2025 J jnl
WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling.
CoRR
Qihui Yang, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack
2025 A* conf
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning.
EMNLP
Gagan Mundada, Yash Vishe, Amit Namburi, Xin Xu, Zachary Novack, Julian J. McAuley, Junda Wu
2025 J jnl
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning.
CoRR
Gagan Mundada, Yash Vishe, Amit Namburi, Xin Xu, Zachary Novack, Julian J. McAuley, Junda Wu
2025 A conf
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood.
WSDM
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024 J jnl
A Fashion Item Recommendation Model in Hyperbolic Space.
CoRR
Ryotaro Shimizu, Yu Wang, Masanari Kimura, Yuki Hirakawa, Takashi Wada, Yuki Saito, Julian J. McAuley
2024 J jnl
A Review of Modern Fashion Recommender Systems.
ACM Comput. Surv.
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
2024 A* conf
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).
KDD
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024 J jnl
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).
CoRR
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024 J jnl
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.
CoRR
Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda R. Petzold, William Yang Wang
2024 J jnl
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.
Trans. Mach. Learn. Res.
Zhiyu Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda Ruth Petzold, William Yang Wang
2024 J jnl
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation.
CoRR
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
2024 A* conf
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems.
WWW
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2024 — conf
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback.
NAACL-HLT
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
2024 J jnl
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders.
CoRR
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024 — conf
Automatic Pair Construction for Contrastive Post-training.
NAACL-HLT (Findings)
Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao
2024 A conf
Avoiding Decision Fatigue with AI-Assisted Decision-Making.
UMAP
Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley
2024 J jnl
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
CoRR
Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2024 J jnl
Bridging Conversational and Collaborative Signals for Conversational Recommendation.
CoRR
Ahmad Bin Rabiah, Nafis Sadeq, Julian J. McAuley
2024 J jnl
Bridging Language and Items for Retrieval and Recommendation.
CoRR
Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
2024 J jnl
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.
CoRR
Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris
2024 A conf
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation.
CIKM
Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley
2024 J jnl
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation.
CoRR
Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley
2024 J jnl
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation.
CoRR
Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley
2024 J jnl
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.
CoRR
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 A* conf
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
KDD
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024 J jnl
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
CoRR
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024 — conf
Cognitive Bias in Decision-Making with LLMs.
EMNLP (Findings)
Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
2024 J jnl
Cognitive Bias in High-Stakes Decision-Making with LLMs.
CoRR
Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
2024 — conf
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.
ISMIR
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 J jnl
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.
CoRR
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 A* conf
DITTO: Diffusion Inference-Time T-Optimization for Music Generation.
ICML
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 J jnl
DITTO: Diffusion Inference-Time T-Optimization for Music Generation.
CoRR
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 — conf
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.
ACL (1)
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
2024 A* conf
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.
AAAI
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
2024 J jnl
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.
CoRR
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
2024 A conf
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.
WACV
Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
2024 — conf
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.
NAACL-HLT
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
2024 J jnl
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.
CoRR
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
2024 — conf
Extending Input Contexts of Language Models through Training on Segmented Sequences.
NAACL-HLT (Findings)
Petros Karypis, Julian J. McAuley, George Karypis
2024 J jnl
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.
CoRR
Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar
2024 J jnl
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning.
ACM Trans. Knowl. Discov. Data
Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar
2024 J jnl
FaceSigns: Semi-fragile Watermarks for Media Authentication.
ACM Trans. Multim. Comput. Commun. Appl.
Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar
2024 A* conf
Fair Sequential Recommendation without User Demographics.
SIGIR
Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024 J jnl
Federated Large Language Models: Current Progress and Future Directions.
CoRR
Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong
2024 — conf
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning.
ACL (Findings)
Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley
2024 J jnl
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning.
CoRR
Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley
2024 A* conf
First Workshop on Generative AI for Recommender Systems and Personalization.
KDD
Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis
2024 A conf
Forecasting Live Chat Intent from Browsing History.
CIKM
Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley
2024 J jnl
Forecasting Live Chat Intent from Browsing History.
CoRR
Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley
2024 J jnl
Foundation Models for Recommender Systems: A Survey and New Perspectives.
CoRR
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
2024 J jnl
Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation.
CoRR
Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley
2024 J jnl
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset.
CoRR
Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong
2024 J jnl
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding.
CoRR
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu
2024 J jnl
How to Train Data-Efficient LLMs.
CoRR
Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
2024 J jnl
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation.
CoRR
Se-eun Yoon, Hyunsik Jeon, Julian J. McAuley
2024 J jnl
Inductive Generative Recommendation via Retrieval-based Speculation.
CoRR
Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley
2024 A* conf
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.
WWW
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
2024 J jnl
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.
CoRR
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
2024 — conf
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.
ACL (Findings)
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024 J jnl
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.
CoRR
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024 A conf
International Workshop on Online and Adaptive Recommender Systems (OARS 2024).
CIKM
Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2024 J jnl
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
CoRR
Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley
2024 J jnl
LVCHAT: Facilitating Long Video Comprehension.
CoRR
Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He
2024 J jnl
Large Language Model Driven Recommendation.
CoRR
Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci
2024 J jnl
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
CoRR
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
2024 — conf
Large Language Models are Zero-Shot Rankers for Recommender Systems.
ECIR (2)
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2024 J jnl
Large Scale Knowledge Washing.
CoRR
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
2024 A* conf
Linear Layer Extrapolation for Fine-Grained Emotion Classification.
EMNLP
Mayukh Sharma, Sean O'Brien, Julian J. McAuley
2024 A conf
Linear Recurrent Units for Sequential Recommendation.
WSDM
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2024 J jnl
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs.
CoRR
An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang
2024 A conf
MAWI Rec: Leveraging Severe Weather Data in Recommendation.
RecSys
Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley
2024 A* conf
MEMORYLLM: Towards Self-Updatable Large Language Models.
ICML
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 J jnl
MEMORYLLM: Towards Self-Updatable Large Language Models.
CoRR
Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley
2024 — conf
Mitigating Hallucination in Fictional Character Role-Play.
EMNLP (Findings)
Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley
2024 J jnl
Mitigating Hallucination in Fictional Character Role-Play.
CoRR
Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley
2024 A conf
Multi-Behavior Generative Recommendation.
CIKM
Zihan Liu, Yupeng Hou, Julian J. McAuley
2024 J jnl
Multi-Behavior Generative Recommendation.
CoRR
Zihan Liu, Yupeng Hou, Julian J. McAuley
2024 J jnl
Multi-modal Generative Models in Recommendation System.
CoRR
Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024 A conf
Neighborhood-Based Collaborative Filtering for Conversational Recommendation.
RecSys
Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley
2024 J jnl
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
CoRR
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
2024 J jnl
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation.
CoRR
Se-eun Yoon, Xiaokai Wei, Yexi Jiang, Rachit Pareek, Frank Ong, Kevin Gao, Julian J. McAuley, Michelle Gong
2024 A* conf
Off-Policy Evaluation for Large Action Spaces via Policy Convolution.
WWW
Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
2024 J jnl
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.
ACM Trans. Inf. Syst.
Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2024 J jnl
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.
CoRR
Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley
2024 J jnl
Personalized Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley
2024 J jnl
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends.
User Model. User Adapt. Interact.
Vito Walter Anelli, Li Chen, Gerard de Melo, Julian J. McAuley, Fedelucio Narducci, Azzurra Ragone
2024 J jnl
Presto! Distilling Steps and Layers for Accelerating Music Generation.
CoRR
Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
2024 A* conf
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface.
AAAI
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
2024 J jnl
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface.
CoRR
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
2024 J jnl
Recommendation with Generative Models.
CoRR
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024 J jnl
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.
CoRR
Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2024 A* conf
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.
ICLR
Tianyang Liu, Canwen Xu, Julian J. McAuley
2024 J jnl
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
2024 J jnl
Self-Updatable Large Language Models with Parameter Integration.
CoRR
Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley
2024 A* conf
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations.
ICML
Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
2024 — conf
Small Models are Valuable Plug-ins for Large Language Models.
ACL (Findings)
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2024 J jnl
Special Issue on Responsible Recommender Systems Part 1.
ACM Trans. Intell. Syst. Technol.
Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach
2024 J jnl
StarCoder 2 and The Stack v2: The Next Generation.
CoRR
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.
2024 J jnl
TeaserGen: Generating Teasers for Long Documentaries.
CoRR
Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong
2024 J jnl
Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training.
CoRR
Shijian Wang, Linxin Song, Jieyu Zhang, Ryotaro Shimizu, Ao Luo, Li Yao, Cunjian Chen, Julian J. McAuley, Hanqian Wu
2024 A conf
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN).
RecSys
Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo
2024 J jnl
Towards LifeSpan Cognitive Systems.
CoRR
Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley
2024 — conf
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.
EMNLP (Findings)
Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley
2024 J jnl
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation.
CoRR
Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley
2024 B conf
Transferable Sequential Recommendation via Vector Quantized Meta Learning.
IEEE Big Data
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024 J jnl
Transferable Sequential Recommendation via Vector Quantized Meta Learning.
CoRR
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024 A* conf
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding.
ICML
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 J jnl
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.
CoRR
Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan
2024 J jnl
Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley
2023 A* conf
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.
AAAI
Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.
CoRR
Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 A* conf
3rd Workshop on Online and Adaptive Recommender Systems (OARS).
KDD
Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2023 — conf
A Survey on Dynamic Neural Networks for Natural Language Processing.
EACL (Findings)
Canwen Xu, Julian J. McAuley
2023 A* conf
A Survey on Model Compression and Acceleration for Pretrained Language Models.
AAAI
Canwen Xu, Julian J. McAuley
2023 J jnl
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems.
CoRR
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023 A conf
Assistive Recipe Editing through Critiquing.
EACL
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
2023 A* conf
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.
EMNLP
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2023 J jnl
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.
CoRR
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2023 A* conf
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets.
ICML
Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg
2023 J jnl
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets.
CoRR
Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton
2023 A* conf
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos.
ICLR
Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick
2023 — conf
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.
WASPAA
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
2023 J jnl
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.
CoRR
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley
2023 J jnl
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews.
CoRR
Jessica Maria Echterhoff, An Yan, Julian J. McAuley
2023 J jnl
Contrastive Post-training Large Language Models on Data Curriculum.
CoRR
Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
2023 J jnl
Data Distillation: A Survey.
CoRR
Noveen Sachdeva, Julian J. McAuley
2023 J jnl
Data Distillation: A Survey.
Trans. Mach. Learn. Res.
Noveen Sachdeva, Julian J. McAuley
2023 J jnl
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.
CoRR
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
2023 J jnl
Deep reinforcement learning in recommender systems: A survey and new perspectives.
Knowl. Based Syst.
Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2023 J jnl
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning.
IEEE Trans. Multim.
Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao
2023 J jnl
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.
CoRR
Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
2023 B conf
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls.
IEEE Big Data
Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong
2023 J jnl
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls.
CoRR
Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong
2023 A conf
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.
WSDM
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
2023 J jnl
Extending Input Contexts of Language Models through Training on Segmented Sequences.
CoRR
Petros Karypis, Julian J. McAuley, George Karypis
2023 A* conf
Factual and Informative Review Generation for Explainable Recommendation.
AAAI
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
2023 J jnl
Farzi Data: Autoregressive Data Distillation.
CoRR
Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
2023 J jnl
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation.
CoRR
An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang
2023 A* conf
Generative Flow Network for Listwise Recommendation.
KDD
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
2023 J jnl
Generative Flow Network for Listwise Recommendation.
CoRR
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
2023 C conf
Improving Robustness of Convolutional Networks Through Sleep-Like Replay.
ICMLA
Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov
2023 A* conf
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.
EMNLP
Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley
2023 — conf
Jointly modeling products and resource pages for task-oriented recommendation.
WWW (Companion Volume)
Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley
2023 — conf
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
ACL (2)
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
2023 J jnl
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
CoRR
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
2023 J jnl
Large Language Models are Zero-Shot Rankers for Recommender Systems.
CoRR
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2023 A conf
Large Language Models as Zero-Shot Conversational Recommenders.
CIKM
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
2023 J jnl
Large Language Models as Zero-Shot Conversational Recommenders.
CoRR
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
2023 A* conf
Learning Concise and Descriptive Attributes for Visual Recognition.
ICCV
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
2023 J jnl
Learning Concise and Descriptive Attributes for Visual Recognition.
CoRR
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley
2023 A* conf
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.
WWW
Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2023 J jnl
Linear Recurrent Units for Sequential Recommendation.
CoRR
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2023 A* conf
LongCoder: A Long-Range Pre-trained Language Model for Code Completion.
ICML
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
2023 J jnl
LongCoder: A Long-Range Pre-trained Language Model for Code Completion.
CoRR
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
2023 A* conf
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.
EMNLP
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 J jnl
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.
CoRR
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2023 — conf
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization.
WWW (Companion Volume)
Canwen Xu, Julian J. McAuley, Penghan Wang
2023 J jnl
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization.
CoRR
Canwen Xu, Julian J. McAuley, Penghan Wang
2023 Misc conf
Multitrack Music Transformer.
ICASSP
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
2023 J jnl
Off-Policy Evaluation for Large Action Spaces via Policy Convolution.
CoRR
Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
2023 J jnl
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.
CoRR
Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2023 J jnl
Reinforcement Learning for Generative AI: A Survey.
CoRR
Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao
2023 J jnl
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.
CoRR
Tianyang Liu, Canwen Xu, Julian J. McAuley
2023 J jnl
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.
CoRR
An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley
2023 J jnl
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations.
CoRR
Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
2023 J jnl
Small Models are Valuable Plug-ins for Large Language Models.
CoRR
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2023 A* conf
Spoiler Detection as Semantic Text Matching.
EMNLP
Ryan Tran, Canwen Xu, Julian J. McAuley
2023 — conf
Synthetic Pre-Training Tasks for Neural Machine Translation.
ACL (Findings)
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2023 A* conf
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
KDD
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2023 J jnl
Text Is All You Need: Learning Language Representations for Sequential Recommendation.
CoRR
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2023 A conf
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.
CIKM
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
2023 A* conf
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.
KDD
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
2023 A conf
Unsupervised Improvement of Factual Knowledge in Language Models.
EACL
Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley
2023 J jnl
Unsupervised Improvement of Factual Knowledge in Language Models.
CoRR
Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley
2023 J jnl
Unsupervised Lead Sheet Generation via Semantic Compression.
CoRR
Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022 A* conf
2nd Workshop on Online and Adaptive Recommender Systems (OARS).
KDD
Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem
2022 J jnl
A Review of Modern Fashion Recommender Systems.
CoRR
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
2022 J jnl
A Survey on Dynamic Neural Networks for Natural Language Processing.
CoRR
Canwen Xu, Julian J. McAuley
2022 J jnl
A Survey on Model Compression for Natural Language Processing.
CoRR
Canwen Xu, Julian J. McAuley
2022 A* conf
AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks.
CHI
Jessica Maria Echterhoff, Matin Yarmand, Julian J. McAuley
2022 — conf
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.
ACL (1)
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022 J jnl
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.
CoRR
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022 J jnl
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2022 J jnl
Assistive Recipe Editing through Critiquing.
CoRR
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
2022 — conf
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification.
NAACL-HLT
Han Wang, Canwen Xu, Julian J. McAuley
2022 J jnl
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification.
CoRR
Han Wang, Canwen Xu, Julian J. McAuley
2022 — conf
BERT Learns to Teach: Knowledge Distillation with Meta Learning.
ACL (1)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2022 A conf
Bundle MCR: Towards Conversational Bundle Recommendation.
RecSys
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022 J jnl
Bundle MCR: Towards Conversational Bundle Recommendation.
CoRR
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022 J jnl
CLIP also Understands Text: Prompting CLIP for Phrase Understanding.
CoRR
An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian J. McAuley
2022 J jnl
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos.
CoRR
Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick
2022 A* conf
Coarse-to-Fine Sparse Sequential Recommendation.
SIGIR
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
2022 J jnl
Coarse-to-Fine Sparse Sequential Recommendation.
CoRR
Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley
2022 J jnl
Contrastive Learning for Interactive Recommendation in Fashion.
CoRR
Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gérard G. Medioni
2022 — conf
Controlling Bias Exposure for Fair Interpretable Predictions.
EMNLP (Findings)
Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022 J jnl
Controlling Bias Exposure for Fair Interpretable Predictions.
CoRR
Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022 A conf
Cross-modal Adversarial Reprogramming.
WACV
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
2022 Misc conf
Deep Performer: Score-to-Audio Music Performance Synthesis.
ICASSP
Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022 J jnl
Deep Performer: Score-to-Audio Music Performance Synthesis.
CoRR
Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley
2022 J jnl
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis.
CoRR
Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley
2022 A* conf
Efficiently Tuned Parameters Are Task Embeddings.
EMNLP
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2022 J jnl
Efficiently Tuned Parameters are Task Embeddings.
CoRR
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2022 J jnl
Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks.
DTRAP
Shehzeen Hussain, Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer, Julian J. McAuley, Farinaz Koushanfar
2022 J jnl
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes.
CoRR
Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar
2022 J jnl
Factual and Informative Review Generation for Explainable Recommendation.
CoRR
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022 — conf
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control.
ITSC
Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley
2022 J jnl
Generating Negative Samples for Sequential Recommendation.
CoRR
Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong
2022 — conf
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.
ISMIR
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
2022 J jnl
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.
CoRR
Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov
2022 A* conf
Infinite Recommendation Networks: A Data-Centric Approach.
NeurIPS
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley
2022 J jnl
Infinite Recommendation Networks: A Data-Centric Approach.
CoRR
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley
2022 A* conf
InforMask: Unsupervised Informative Masking for Language Model Pretraining.
EMNLP
Nafis Sadeq, Canwen Xu, Julian J. McAuley
2022 J jnl
InforMask: Unsupervised Informative Masking for Language Model Pretraining.
CoRR
Nafis Sadeq, Canwen Xu, Julian J. McAuley
2022 — conf
Instilling Type Knowledge in Language Models via Multi-Task QA.
NAACL-HLT (Findings)
Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley
2022 J jnl
Instilling Type Knowledge in Language Models via Multi-Task QA.
CoRR
Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley
2022 A* conf
Intent Contrastive Learning for Sequential Recommendation.
WWW
Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong
2022 J jnl
Intent Contrastive Learning for Sequential Recommendation.
CoRR
Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong
2022 J jnl
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.
CoRR
Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley
2022 A* conf
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations.
ICML
Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley
2022 — conf
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval.
ACL (Findings)
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2022 J jnl
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval.
CoRR
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2022 J jnl
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.
CoRR
Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2022 A* conf
Leashing the Inner Demons: Self-Detoxification for Language Models.
AAAI
Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022 J jnl
Leashing the Inner Demons: Self-Detoxification for Language Models.
CoRR
Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022 A* conf
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation.
SIGIR
Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
2022 J jnl
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.
CoRR
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
2022 J jnl
On Faithfulness and Coherence of Language Explanations for Recommendation Systems.
CoRR
Zhouhang Xie, Julian J. McAuley, Bodhisattwa Prasad Majumder
2022 A conf
On Sampling Collaborative Filtering Datasets.
WSDM
Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
2022 J jnl
On Sampling Collaborative Filtering Datasets.
CoRR
Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
2022 — conf
Personalized Complementary Product Recommendation.
WWW (Companion Volume)
An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley
2022 J jnl
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations.
CoRR
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley
2022 A conf
Query-Aware Sequential Recommendation.
CIKM
Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley
2022 A conf
Rank List Sensitivity of Recommender Systems to Interaction Perturbations.
CIKM
Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar
2022 J jnl
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction.
CoRR
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu
2022 A* conf
SHARE: a System for Hierarchical Assistive Recipe Editing.
EMNLP
Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley
2022 A conf
SPOT: Knowledge-Enhanced Language Representations for Information Extraction.
CIKM
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu
2022 A conf
Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales.
RecSys
Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley
2022 — conf
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report.
CLEF (Working Notes)
Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili
2022 — conf
SkipBERT: Efficient Inference with Shallow Layer Skipping.
ACL (1)
Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley
2022 J jnl
Synthetic Pre-Training Tasks for Neural Machine Translation.
CoRR
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
2022 J jnl
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.
CoRR
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
2022 — conf
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
ACL (1)
Jiacheng Li, Jingbo Shang, Julian J. McAuley
2022 J jnl
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
CoRR
Jiacheng Li, Jingbo Shang, Julian J. McAuley
2021 J jnl
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.
CoRR
Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2021 A conf
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples.
WACV
Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley
2021 — conf
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition.
ISMIR
Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick
2021 J jnl
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition.
CoRR
Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick
2021 J jnl
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning.
CoRR
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2021 — conf
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge.
NAACL-HLT
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley
2021 J jnl
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge.
CoRR
Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley
2021 — conf
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression.
EMNLP (1)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021 J jnl
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression.
CoRR
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021 A conf
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.
RecSys
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
2021 J jnl
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.
CoRR
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
2021 — conf
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge.
NAACL-HLT
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021 J jnl
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge.
CoRR
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021 J jnl
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.
CoRR
Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong
2021 J jnl
Cross-modal Adversarial Reprogramming.
CoRR
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
2021 — conf
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.
EMNLP (Findings)
Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley
2021 J jnl
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.
CoRR
Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley
2021 C conf
Expressive Neural Voice Cloning.
ACML
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
2021 J jnl
Expressive Neural Voice Cloning.
CoRR
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
2021 J jnl
Locality-Sensitive Experience Replay for Online Recommendation.
CoRR
Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley
2021 A conf
Locker: Locally Constrained Self-Attentive Sequential Recommendation.
CIKM
Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley
2021 J jnl
Meta Learning for Knowledge Distillation.
CoRR
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2021 J jnl
Modeling Dynamic Attributes for Next Basket Recommendation.
CoRR
Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong
2021 J jnl
Rationale-Inspired Natural Language Explanations with Commonsense.
CoRR
Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley
2021 A conf
ReZero is all you need: fast convergence at large depth.
UAI
Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley
2021 A ed.
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021
RecSys
Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge
2021 A conf
Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption.
RecSys
Jérémie Rappaz, Julian J. McAuley, Karl Aberer
2021 J jnl
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning.
CoRR
Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
2021 J jnl
SHARE: a System for Hierarchical Assistive Recipe Editing.
CoRR
Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley
2021 J jnl
SVP-CF: Selection via Proxy for Collaborative Filtering Data.
CoRR
Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
2021 J jnl
Self-Supervised Bot Play for Conversational Recommendation with Justifications.
CoRR
Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley
2021 — conf
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music.
ISMIR
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley
2021 J jnl
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music.
CoRR
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley
2021 — conf
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.
ACL/IJCNLP (2)
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani
2021 J jnl
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.
CoRR
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani
2021 A* conf
WaveGuard: Understanding and Mitigating Audio Adversarial Examples.
USENIX Security Symposium
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
2021 J jnl
WaveGuard: Understanding and Mitigating Audio Adversarial Examples.
CoRR
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
2021 — conf
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
EMNLP (Findings)
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2021 J jnl
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
CoRR
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
2021 — conf
Weakly Supervised Named Entity Tagging with Learnable Logical Rules.
ACL/IJCNLP (1)
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
2021 J jnl
Weakly Supervised Named Entity Tagging with Learnable Logical Rules.
CoRR
Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng
2021 A* conf
Workshop on Online and Adaptative Recommender Systems (OARS).
KDD
Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem
2021 A conf
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering.
EACL
Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-wen Li, Wael Hamza, Julian J. McAuley
2021 J jnl
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering.
CoRR
Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-wen Li, Wael Hamza, Julian J. McAuley
2020 A conf
A Longitudinal Evaluation of a Best Practices CS1.
ICER
Adrian Salguero, Julian J. McAuley, Beth Simon, Leo Porter
2020 A conf
Addressing Marketing Bias in Product Recommendations.
WSDM
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2020 J jnl
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples.
CoRR
Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley
2020 A* conf
Attentive Sequential Models of Latent Intent for Next Item Recommendation.
WWW
Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley
2020 A* conf
BERT Loses Patience: Fast and Robust Inference with Early Exit.
NeurIPS
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
2020 J jnl
BERT Loses Patience: Fast and Robust Inference with Early Exit.
CoRR
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
2020 J jnl
Developing a Recommendation Benchmark for MLPerf Training and Inference.
CoRR
Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang
2020 J jnl
Generating Rationales in Visual Question Answering.
CoRR
Hammad A. Ayyubi, Md. Mehrab Tanjim, Julian J. McAuley, Garrison W. Cottrell
2020 A* conf
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements.
SIGIR
Noveen Sachdeva, Julian J. McAuley
2020 J jnl
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements.
CoRR
Noveen Sachdeva, Julian J. McAuley
2020 J jnl
Interview: A Large-Scale Open-Source Corpus of Media Dialog.
CoRR
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2020 — conf
Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding.
EMNLP (1)
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2020 — conf
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays.
EMNLP (Findings)
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley
2020 J jnl
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays.
CoRR
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley
2020 — conf
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.
EMNLP (1)
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2020 J jnl
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.
CoRR
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley
2020 — conf
MusPy: A Toolkit for Symbolic Music Generation.
ISMIR
Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick
2020 J jnl
MusPy: A Toolkit for Symbolic Music Generation.
CoRR
Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick
2020 J jnl
ReZero is All You Need: Fast Convergence at Large Depth.
CoRR
Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian J. McAuley
2020 A conf
Speech Recognition and Multi-Speaker Diarization of Long Conversations.
INTERSPEECH
Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell
2020 J jnl
Speech Recognition and Multi-Speaker Diarization of Long Conversations.
CoRR
Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell
2020 A conf
Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering.
SDM
Hengrui Zhang, Julian J. McAuley
2020 A conf
Time Interval Aware Self-Attention for Sequential Recommendation.
WSDM
Jiacheng Li, Yujie Wang, Julian J. McAuley
2019 J jnl
Addressing Marketing Bias in Product Recommendations.
CoRR
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2019 — conf
Adversarial Audio Synthesis.
ICLR (Poster)
Chris Donahue, Julian J. McAuley, Miller S. Puckette
2019 J jnl
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation.
CoRR
Wang-Cheng Kang, Julian J. McAuley
2019 — ed.
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019.
WWW (Companion Volume)
Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia
2019 A* conf
Complete the Look: Scene-Based Complementary Product Recommendation.
CVPR
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley
2019 A conf
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation.
CIKM
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2019 J jnl
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation.
CoRR
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2019 — conf
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions.
MLHC
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
2019 J jnl
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions.
CoRR
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
2019 A conf
Expediting TTS Synthesis with Adversarial Vocoding.
INTERSPEECH
Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley
2019 J jnl
Expediting TTS Synthesis with Adversarial Vocoding.
CoRR
Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley
2019 — conf
Fine-Grained Spoiler Detection from Large-Scale Review Corpora.
ACL (1)
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley
2019 J jnl
Fine-Grained Spoiler Detection from Large-Scale Review Corpora.
CoRR
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley
2019 — conf
Generating Personalized Recipes from Historical User Preferences.
EMNLP/IJCNLP (1)
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2019 J jnl
Generating Personalized Recipes from Historical User Preferences.
CoRR
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2019 — conf
Improving Neural Story Generation by Targeted Common Sense Grounding.
EMNLP/IJCNLP (1)
Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell
2019 J jnl
Improving Neural Story Generation by Targeted Common Sense Grounding.
CoRR
Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell
2019 — conf
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.
EMNLP/IJCNLP (1)
Jianmo Ni, Jiacheng Li, Julian J. McAuley
2019 — conf
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training.
ISMIR
Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley
2019 J jnl
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training.
CoRR
Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley
2019 — conf
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering.
NAACL-HLT (1)
Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley
2019 A* conf
Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation.
WWW
Jianmo Ni, Larry Muhlstein, Julian J. McAuley
2019 J jnl
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag.
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, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni
2019 — conf
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation.
EMNLP/IJCNLP (1)
Liliang Ren, Jianmo Ni, Julian J. McAuley
2019 J jnl
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation.
CoRR
Liliang Ren, Jianmo Ni, Julian J. McAuley
2019 A* ed.
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
WWW
Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia
2019 A conf
Universal Adversarial Perturbations for Speech Recognition Systems.
INTERSPEECH
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
2019 J jnl
Universal Adversarial Perturbations for Speech Recognition Systems.
CoRR
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
2018 J jnl
Complete the Look: Scene-based Complementary Product Recommendation.
CoRR
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley
2018 A conf
Decomposing fit semantics for product size recommendation in metric spaces.
RecSys
Rishabh Misra, Mengting Wan, Julian J. McAuley
2018 A* conf
Does mitigating ML's impact disparity require treatment disparity?
NeurIPS
Zachary C. Lipton, Julian J. McAuley, Alexandra Chouldechova
2018 J jnl
Identifying and characterizing highly similar notes in big clinical note datasets.
J. Biomed. Informatics
Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2018 A conf
Item recommendation on monotonic behavior chains.
RecSys
Mengting Wan, Julian J. McAuley
2018 J jnl
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation.
CoRR
Wang-Cheng Kang, Julian J. McAuley
2018 A conf
Learning consumer and producer embeddings for user-generated content recommendation.
RecSys
Wang-Cheng Kang, Julian J. McAuley
2018 J jnl
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering.
CoRR
Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley
2018 A conf
Learning within-session budgets from browsing trajectories.
RecSys
Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley
2018 A conf
One-Class Recommendation with Asymmetric Textual Feedback.
SDM
Mengting Wan, Julian J. McAuley
2018 — conf
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations.
ACL (2)
Jianmo Ni, Julian J. McAuley
2018 — conf
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders.
ICLR (Workshop)
Nathan H. Ng, Julian J. McAuley, Julian Gingold, Nina Desai, Zachary C. Lipton
2018 A conf
Recommendation Through Mixtures of Heterogeneous Item Relationships.
CIKM
Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018 J jnl
Recommendation Through Mixtures of Heterogeneous Item Relationships.
CoRR
Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
2018 A conf
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty.
CIKM
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley
2018 — conf
Scrabble: transferrable semi-automated semantic metadata normalization using intermediate representation.
BuildSys
Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Yuvraj Agarwal
2018 A* conf
Self-Attentive Sequential Recommendation.
ICDM
Wang-Cheng Kang, Julian J. McAuley
2018 J jnl
Self-Attentive Sequential Recommendation.
CoRR
Wang-Cheng Kang, Julian J. McAuley
2018 — conf
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.
ICLR (Poster)
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley
2018 — conf
Synthesizing Audio with GANs.
ICLR (Workshop)
Chris Donahue, Julian J. McAuley, Miller S. Puckette
2018 J jnl
Synthesizing Audio with Generative Adversarial Networks.
CoRR
Chris Donahue, Julian J. McAuley, Miller S. Puckette
2018 — conf
The NES Music Database: A multi-instrumental dataset with expressive performance attributes.
ISMIR
Chris Donahue, Huanru Henry Mao, Julian J. McAuley
2018 J jnl
The NES Music Database: A multi-instrumental dataset with expressive performance attributes.
CoRR
Chris Donahue, Huanru Henry Mao, Julian J. McAuley
2018 A* conf
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior.
IJCAI
Ruining He, Wang-Cheng Kang, Julian J. McAuley
2018 A conf
Translation-based factorization machines for sequential recommendation.
RecSys
Rajiv Pasricha, Julian J. McAuley
2018 J jnl
Visually-Aware Personalized Recommendation using Interpretable Image Representations.
CoRR
Charles Packer, Julian J. McAuley, Arnau Ramisa
2017 A conf
Bartering Books to Beers: A Recommender System for Exchange Platforms.
WSDM
Jérémie Rappaz, Maria-Luiza Vladarean, Julian J. McAuley, Michele Catasta
2017 — conf
Dance Dance Convolution.
ICLR (Workshop)
Chris Donahue, Zachary C. Lipton, Julian J. McAuley
2017 A* conf
Dance Dance Convolution.
ICML
Chris Donahue, Zachary C. Lipton, Julian J. McAuley
2017 J jnl
Dance Dance Convolution.
CoRR
Chris Donahue, Zachary C. Lipton, Julian J. McAuley
2017 J jnl
Deduplication in a massive clinical note dataset.
CoRR
Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu
2017 J jnl
Does mitigating ML's disparate impact require disparate treatment?
CoRR
Zachary C. Lipton, Alexandra Chouldechova, Julian J. McAuley
2017 A* conf
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching.
IJCAI
Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi
2017 — conf
Estimating Reactions and Recommending Products with Generative Models of Reviews.
IJCNLP(1)
Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley
2017 A* conf
Generating and Personalizing Bundle Recommendations on
SIGIR
Apurva Pathak, Kshitiz Gupta, Julian J. McAuley
2017 — ch.
Graphical Models.
Encyclopedia of Machine Learning and Data Mining
Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine
2017 — conf
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017).
IJCNLP (Shared Tasks)
Anil Kumar Singh, Avijit Thawani, Mayank Panchal, Anubhav Gupta, Julian J. McAuley
2017 B conf
Improving recommendation accuracy using networks of substitutable and complementary products.
IJCNN
Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King
2017 A* conf
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs.
WWW
Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley
2017 — conf
Predicting Surgery Duration with Neural Heteroscedastic Regression.
MLHC
Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
2017 J jnl
Predicting Surgery Duration with Neural Heteroscedastic Regression.
CoRR
Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
2017 A* conf
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation.
IJCAI
Chenwei Cai, Ruining He, Julian J. McAuley
2017 J jnl
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation.
CoRR
Chenwei Cai, Ruining He, Julian J. McAuley
2017 — conf
Scrabble: converting unstructured metadata into brick for many buildings.
BuildSys
Jason Koh, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Bharathan Balaji, Yuvraj Agarwal
2017 J jnl
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.
CoRR
Chris Donahue, Akshay Balsubramani, Julian J. McAuley, Zachary C. Lipton
2017 A* conf
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties.
AAAI
Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel
2017 Misc conf
The presence of highly similar notes within the MIMIC-III dataset.
AMIA
Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu
2017 A conf
Translation-based Recommendation.
RecSys
Ruining He, Wang-Cheng Kang, Julian J. McAuley
2017 J jnl
Translation-based Recommendation.
CoRR
Ruining He, Wang-Cheng Kang, Julian J. McAuley
2017 A* conf
Visually-Aware Fashion Recommendation and Design with Generative Image Models.
ICDM
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley
2017 J jnl
Visually-Aware Fashion Recommendation and Design with Generative Image Models.
CoRR
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley
2016 A* conf
Addressing Complex and Subjective Product-Related Queries with Customer Reviews.
WWW
Julian J. McAuley, Alex Yang
2016 — conf
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items.
WWW (Companion Volume)
Ruining He, Chunbin Lin, Julian J. McAuley
2016 J jnl
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items.
CoRR
Ruining He, Chunbin Lin, Julian J. McAuley
2016 A* conf
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation.
ICDM
Ruining He, Julian J. McAuley
2016 J jnl
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation.
CoRR
Ruining He, Julian J. McAuley
2016 A* conf
Learning Compatibility Across Categories for Heterogeneous Item Recommendation.
ICDM
Ruining He, Charles Packer, Julian J. McAuley
2016 A* conf
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems.
ICDM
Mengting Wan, Julian J. McAuley
2016 J jnl
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems.
CoRR
Mengting Wan, Julian J. McAuley
2016 J jnl
Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories.
CoRR
Ruining He, Charles Packer, Julian J. McAuley
2016 A* conf
Pairwise Matching through Max-Weight Bipartite Belief Propagation.
CVPR
Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel
2016 J jnl
Predicting risky behavior in social communities.
CoRR
Olivia Simpson, Julian J. McAuley
2016 A* conf
Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering.
IJCAI
Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley
2016 J jnl
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering.
CoRR
Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley
2016 A* conf
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering.
WWW
Ruining He, Julian J. McAuley
2016 J jnl
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering.
CoRR
Ruining He, Julian J. McAuley
2016 A* conf
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback.
AAAI
Ruining He, Julian J. McAuley
2016 A conf
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation.
RecSys
Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley
2016 J jnl
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation.
CoRR
Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley
2015 J jnl
Addressing Complex and Subjective Product-Related Queries with Customer Reviews.
CoRR
Julian J. McAuley, Alex Yang
2015 J jnl
Capturing Meaning in Product Reviews with Character-Level Generative Text Models.
CoRR
Zachary Chase Lipton, Sharad Vikram, Julian J. McAuley
2015 A* conf
Image-Based Recommendations on Styles and Substitutes.
SIGIR
Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel
2015 J jnl
Image-based Recommendations on Styles and Substitutes.
CoRR
Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel
2015 A conf
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation.
CIKM
Tong Zhao, Julian J. McAuley, Irwin King
2015 A* conf
Inferring Networks of Substitutable and Complementary Products.
KDD
Julian J. McAuley, Rahul Pandey, Jure Leskovec
2015 J jnl
Inferring Networks of Substitutable and Complementary Products.
CoRR
Julian J. McAuley, Rahul Pandey, Jure Leskovec
2015 A* conf
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences.
ICCV
Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie
2015 J jnl
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences.
CoRR
Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie
2015 A conf
Top-N Recommendation with Missing Implicit Feedback.
RecSys
Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet
2015 J jnl
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback.
CoRR
Ruining He, Julian J. McAuley
2014 J jnl
Community Detection in Networks with Node Attributes.
CoRR
Jaewon Yang, Julian J. McAuley, Jure Leskovec
2014 J jnl
Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks.
CoRR
Jaewon Yang, Julian J. McAuley, Jure Leskovec
2014 A conf
Detecting cohesive and 2-mode communities indirected and undirected networks.
WSDM
Jaewon Yang, Julian J. McAuley, Jure Leskovec
2014 J jnl
Discovering social circles in ego networks.
ACM Trans. Knowl. Discov. Data
Julian J. McAuley, Jure Leskovec
2014 A* conf
Finding progression stages in time-evolving event sequences.
WWW
Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah
2014 A conf
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering.
CIKM
Tong Zhao, Julian J. McAuley, Irwin King
2013 A* conf
Community Detection in Networks with Node Attributes.
ICDM
Jaewon Yang, Julian J. McAuley, Jure Leskovec
2013 J jnl
From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews
CoRR
Julian J. McAuley, Jure Leskovec
2013 A* conf
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews.
WWW
Julian J. McAuley, Jure Leskovec
2013 A conf
Hidden factors and hidden topics: understanding rating dimensions with review text.
RecSys
Julian J. McAuley, Jure Leskovec
2013 J jnl
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies.
Int. J. Comput. Vis.
Julian J. McAuley, Arnau Ramisa, Tibério S. Caetano
2013 A conf
What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media.
ICWSM
Himabindu Lakkaraju, Julian J. McAuley, Jure Leskovec
2012 J jnl
Discovering Social Circles in Ego Networks
CoRR
Julian J. McAuley, Jure Leskovec
2012 J jnl
Fast matching of large point sets under occlusions.
Pattern Recognit.
Julian J. McAuley, Tibério S. Caetano
2012 J jnl
Image Labeling on a Network: Using Social-Network Metadata for Image Classification
CoRR
Julian J. McAuley, Jure Leskovec
2012 — conf
Image Labeling on a Network: Using Social-Network Metadata for Image Classification.
ECCV (4)
Julian J. McAuley, Jure Leskovec
2012 J jnl
Learning Attitudes and Attributes from Multi-Aspect Reviews
CoRR
Julian J. McAuley, Jure Leskovec, Dan Jurafsky
2012 A* conf
Learning Attitudes and Attributes from Multi-aspect Reviews.
ICDM
Julian J. McAuley, Jure Leskovec, Dan Jurafsky
2012 — conf
Learning to Discover Social Circles in Ego Networks.
NIPS
Julian J. McAuley, Jure Leskovec
2011 J jnl
Fast Inference with Min-Sum Matrix Product.
IEEE Trans. Pattern Anal. Mach. Intell.
Pedro F. Felzenszwalb, Julian J. McAuley
2011 J jnl
Faster Algorithms for Max-Product Message-Passing.
J. Mach. Learn. Res.
Julian J. McAuley, Tibério S. Caetano
2011 — conf
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study.
EMMCVPR
Julian J. McAuley, Arnau Ramisa, Tibério S. Caetano
2010 A* conf
Exploiting Data-Independence for Fast Belief-Propagation.
ICML
Julian J. McAuley, Tibério S. Caetano
2010 A conf
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms.
AISTATS
Julian J. McAuley, Tibério S. Caetano
2010 — ch.
Graphical Models.
Encyclopedia of Machine Learning
Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine
2010 A* conf
Unified graph matching in Euclidean spaces.
CVPR
Julian J. McAuley, Teofilo de Campos, Tibério S. Caetano
2009 J jnl
An expected-case sub-cubic solution to the all-pairs shortest path problem in R
CoRR
Julian J. McAuley, Tibério S. Caetano
2009 J jnl
Exact Inference in Graphical Models: is There More to it?
CoRR
Julian J. McAuley, Tibério S. Caetano
2009 J jnl
Exponential Family Graph Matching and Ranking
CoRR
James Petterson, Tibério S. Caetano, Julian J. McAuley, Jin Yu
2009 — conf
Exponential Family Graph Matching and Ranking.
NIPS
James Petterson, Tibério S. Caetano, Julian J. McAuley, Jin Yu
2009 A conf
Hierarchical Image-Region Labeling via Structured Learning.
BMVC
Julian J. McAuley, Teófilo Emídio de Campos, Gabriela Csurka, Florent Perronnin
2009 J jnl
Learning Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Tibério S. Caetano, Julian J. McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola
2009 A* conf
Shape classification through structured learning of matching measures.
CVPR
Longbin Chen, Julian J. McAuley, Rogério Schmidt Feris, Tibério S. Caetano, Matthew Turk
2008 J jnl
Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Julian J. McAuley, Tibério S. Caetano, Marconi S. Barbosa
2008 J jnl
Learning Graph Matching
CoRR
Tibério S. Caetano, Julian J. McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola
2008 J jnl
Robust Near-Isometric Matching via Structured Learning of Graphical Models
CoRR
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola
2008 — conf
Robust Near-Isometric Matching via Structured Learning of Graphical Models.
NIPS
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola
2007 J jnl
Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching
CoRR
Julian J. McAuley, Tibério S. Caetano, Marconi S. Barbosa
2006 A* conf
Learning high-order MRF priors of color images.
ICML
Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola, Matthias O. Franz