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ORCIDJulian J. McAuley
Julian John McAuley
Person information
- affiliation: University of California, San Diego, Department of Computer Science and Engineering, CA, USA
- affiliation: Stanford University, InfoLab, CA, USA
- affiliation: NICTA, Canberra, Australia
- affiliation: Australian National University, Research School of Information Sciences and Engineering, Australia
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2020 – today
- 2025
[j20]Shuyang Li
, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with Rationales. Trans. Recomm. Syst. 3(1): 7:1-7:20 (2025)- 2024
- [j19]Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia:
A Review of Modern Fashion Recommender Systems. ACM Comput. Surv. 56(4): 87:1-87:37 (2024) - [j18]Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach:
Special Issue on Responsible Recommender Systems Part 1. ACM Trans. Intell. Syst. Technol. 15(4): 72:1-72:3 (2024) - [j17]Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(1): 657-669 (2024) - [j16]Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar:
FaceSigns: Semi-fragile Watermarks for Media Authentication. ACM Trans. Multim. Comput. Commun. Appl. 20(11): 337:1-337:21 (2024) - [j15]Vito Walter Anelli, Li Chen, Gerard de Melo, Julian J. McAuley, Fedelucio Narducci, Azzurra Ragone:
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends. User Model. User Adapt. Interact. 34(5): 1529-1533 (2024) - [c211]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI 2024: 9133-9141 - [c210]Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He:
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. AAAI 2024: 23856-23858 - [c209]Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) 2024: 283-294 - [c208]Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley:
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning. ACL (Findings) 2024: 13207-13219 - [c207]Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley:
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) 2024: 13492-13510 - [c206]Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley:
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) 2024: 14073-14087 - [c205]Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley:
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation. CIKM 2024: 973-982 - [c204]Zihan Liu, Yupeng Hou, Julian J. McAuley:
Multi-Behavior Generative Recommendation. CIKM 2024: 1575-1585 - [c203]Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley:
Forecasting Live Chat Intent from Browsing History. CIKM 2024: 4223-4227 - [c202]Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen:
International Workshop on Online and Adaptive Recommender Systems (OARS 2024). CIKM 2024: 5580-5583 - [c201]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. ECIR (2) 2024: 364-381 - [c200]Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He:
Cognitive Bias in Decision-Making with LLMs. EMNLP (Findings) 2024: 12640-12653 - [c199]Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley:
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. EMNLP (Findings) 2024: 13461-13472 - [c198]Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley:
Mitigating Hallucination in Fictional Character Role-Play. EMNLP (Findings) 2024: 14467-14479 - [c197]Mayukh Sharma, Sean O'Brien, Julian J. McAuley:
Linear Layer Extrapolation for Fine-Grained Emotion Classification. EMNLP 2024: 20880-20888 - [c196]Tianyang Liu, Canwen Xu, Julian J. McAuley:
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. ICLR 2024 - [c195]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:
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding. ICML 2024 - [c194]Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. ICML 2024 - [c193]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. ICML 2024 - [c192]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:
MEMORYLLM: Towards Self-Updatable Large Language Models. ICML 2024 - [c191]Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley:
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD 2024: 3391-3401 - [c190]Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano:
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD 2024: 6448-6458 - [c189]Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis:
First Workshop on Generative AI for Recommender Systems and Personalization. KDD 2024: 6737-6738 - [c188]Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao:
Automatic Pair Construction for Contrastive Post-training. NAACL-HLT (Findings) 2024: 149-162 - [c187]Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley:
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. NAACL-HLT 2024: 1490-1504 - [c186]Petros Karypis, Julian J. McAuley, George Karypis:
Extending Input Contexts of Language Models through Training on Segmented Sequences. NAACL-HLT (Findings) 2024: 3040-3052 - [c185]Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li:
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT 2024: 4684-4695 - [c184]Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley:
MAWI Rec: Leveraging Severe Weather Data in Recommendation. RecSys 2024: 850-854 - [c183]Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley:
Neighborhood-Based Collaborative Filtering for Conversational Recommendation. RecSys 2024: 1045-1050 - [c182]Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo:
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). RecSys 2024: 1250-1252 - [c181]Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang:
Fair Sequential Recommendation without User Demographics. SIGIR 2024: 395-404 - [c180]Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley:
Avoiding Decision Fatigue with AI-Assisted Decision-Making. UMAP 2024: 1-11 - [c179]Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley:
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. WACV 2024: 7331-7340 - [c178]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. WSDM 2024: 930-938 - [c177]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW 2024: 1350-1361 - [c176]Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley:
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. WWW 2024: 3576-3585 - [c175]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i212]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR abs/2401.12179 (2024) - [i211]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR abs/2401.12553 (2024) - [i210]Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar:
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. CoRR abs/2402.03481 (2024) - [i209]Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR abs/2402.04624 (2024) - [i208]Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley:
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. CoRR abs/2402.08785 (2024) - [i207]Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng:
How to Train Data-Efficient LLMs. CoRR abs/2402.09668 (2024) - [i206]Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley:
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR abs/2402.11143 (2024) - [i205]Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu:
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR abs/2402.11558 (2024) - [i204]Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He:
LVCHAT: Facilitating Long Video Comprehension. CoRR abs/2402.12079 (2024) - [i203]Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris:
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR abs/2402.13449 (2024) - [i202]Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He:
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. CoRR abs/2402.15591 (2024) - [i201]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:
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. CoRR abs/2402.19009 (2024) - [i200]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.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i199]Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He:
Cognitive Bias in High-Stakes Decision-Making with LLMs. CoRR abs/2403.00811 (2024) - [i198]Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley:
Bridging Language and Items for Retrieval and Recommendation. CoRR abs/2403.03952 (2024) - [i197]Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley:
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR abs/2403.06447 (2024) - [i196]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:
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR abs/2403.09606 (2024) - [i195]Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley:
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. CoRR abs/2403.09738 (2024) - [i194]Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley:
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning. CoRR abs/2403.15737 (2024) - [i193]Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano:
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR abs/2404.00579 (2024) - [i192]Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li:
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. CoRR abs/2404.15676 (2024) - [i191]An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang:
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. CoRR abs/2404.16375 (2024) - [i190]Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda R. Petzold, William Yang Wang:
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. CoRR abs/2405.01769 (2024) - [i189]Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley:
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. CoRR abs/2405.12119 (2024) - [i188]Se-eun Yoon, Hyunsik Jeon, Julian J. McAuley:
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation. CoRR abs/2405.14142 (2024) - [i187]Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley:
Large Scale Knowledge Washing. CoRR abs/2405.16720 (2024) - [i186]Zihan Liu, Yupeng Hou, Julian J. McAuley:
Multi-Behavior Generative Recommendation. CoRR abs/2405.16871 (2024) - [i185]Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR abs/2405.20289 (2024) - [i184]Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang:
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. CoRR abs/2406.02048 (2024) - [i183]Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley:
Mitigating Hallucination in Fictional Character Role-Play. CoRR abs/2406.17260 (2024) - [i182]Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley:
Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation. CoRR abs/2407.20445 (2024) - [i181]Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley:
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR abs/2407.20454 (2024) - [i180]Hyunsik Jeon, Se-eun Yoon, Julian J. McAuley:
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation. CoRR abs/2408.02156 (2024) - [i179]Se-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley:
Forecasting Live Chat Intent from Browsing History. CoRR abs/2408.04668 (2024) - [i178]Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan:
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. CoRR abs/2408.05094 (2024) - [i177]Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci:
Large Language Model Driven Recommendation. CoRR abs/2408.10946 (2024) - [i176]Ryotaro Shimizu, Yu Wang, Masanari Kimura, Yuki Hirakawa, Takashi Wada, Yuki Saito, Julian J. McAuley:
A Fashion Item Recommendation Model in Hyperbolic Space. CoRR abs/2409.02599 (2024) - [i175]Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley:
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. CoRR abs/2409.10831 (2024) - [i174]Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci:
Multi-modal Generative Models in Recommendation System. CoRR abs/2409.10993 (2024) - [i173]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:
Towards LifeSpan Cognitive Systems. CoRR abs/2409.13265 (2024) - [i172]Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci:
Recommendation with Generative Models. CoRR abs/2409.15173 (2024) - [i171]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:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024) - [i170]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:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i169]Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley:
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. CoRR abs/2409.16627 (2024) - [i168]Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley:
Self-Updatable Large Language Models with Parameter Integration. CoRR abs/2410.00487 (2024) - [i167]Weihan Xu, Julian J. McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Hao-Wen Dong:
Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. CoRR abs/2410.02084 (2024) - [i166]Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley:
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation. CoRR abs/2410.02271 (2024) - [i165]Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley:
Inductive Generative Recommendation via Retrieval-based Speculation. CoRR abs/2410.02939 (2024) - [i164]Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
Presto! Distilling Steps and Layers for Accelerating Music Generation. CoRR abs/2410.05167 (2024) - [i163]Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong:
TeaserGen: Generating Teasers for Long Documentaries. CoRR abs/2410.05586 (2024) - [i162]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:
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. CoRR abs/2410.13248 (2024) - [i161]Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley:
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. CoRR abs/2410.13765 (2024) - [i160]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:
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. CoRR abs/2410.23703 (2024) - [i159]Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang:
Transferable Sequential Recommendation via Vector Quantized Meta Learning. CoRR abs/2411.01785 (2024) - 2023
- [j14]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264: 110335 (2023) - [j13]Noveen Sachdeva, Julian J. McAuley:
Data Distillation: A Survey. Trans. Mach. Learn. Res. 2023 (2023) - [j12]Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao:
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. 25: 8372-8382 (2023) - [c174]Canwen Xu, Julian J. McAuley:
A Survey on Model Compression and Acceleration for Pretrained Language Models. AAAI 2023: 10566-10575 - [c173]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. AAAI 2023: 13816-13824 - [c172]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI 2023: 14232-14240 - [c171]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) 2023: 540-553 - [c170]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - [c169]Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong:
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. IEEE Big Data 2023: 4512-4517 - [c168]Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley:
Large Language Models as Zero-Shot Conversational Recommenders. CIKM 2023: 720-730 - [c167]Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang:
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM 2023: 5267-5270 - [c166]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. EACL 2023: 375-384 - [c165]Canwen Xu, Julian J. McAuley:
A Survey on Dynamic Neural Networks for Natural Language Processing. EACL (Findings) 2023: 2325-2336 - [c164]Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley:
Unsupervised Improvement of Factual Knowledge in Language Models. EACL 2023: 2952-2961 - [c163]Ryan Tran, Canwen Xu, Julian J. McAuley:
Spoiler Detection as Semantic Text Matching. EMNLP 2023: 6109-6113 - [c162]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. EMNLP 2023: 6268-6278 - [c161]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. EMNLP 2023: 8725-8744 - [c160]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. EMNLP 2023: 9466-9471 - [c159]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer. ICASSP 2023: 1-5 - [c158]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV 2023: 3067-3077 - [c157]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. ICLR 2023 - [c156]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML 2023: 12098-12107 - [c155]Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg:
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. ICML 2023: 26342-26362 - [c154]Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov:
Improving Robustness of Convolutional Networks Through Sleep-Like Replay. ICMLA 2023: 257-264 - [c153]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD 2023: 1248-1257 - [c152]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. KDD 2023: 1258-1267 - [c151]Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. KDD 2023: 1524-1534 - [c150]Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen:
3rd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2023: 5855-5856 - [c149]An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. SIGIR 2023: 2251-2255 - [c148]Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley:
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. WASPAA 2023: 1-5 - [c147]Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM 2023: 553-561 - [c146]Canwen Xu, Julian J. McAuley, Penghan Wang:
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. WWW (Companion Volume) 2023: 49-52 - [c145]Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Jointly modeling products and resource pages for task-oriented recommendation. WWW (Companion Volume) 2023: 432-436 - [c144]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW 2023: 1162-1171 - [i158]Noveen Sachdeva, Julian J. McAuley:
Data Distillation: A Survey. CoRR abs/2301.04272 (2023) - [i157]Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton:
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. CoRR abs/2302.02551 (2023) - [i156]Canwen Xu, Julian J. McAuley, Penghan Wang:
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. CoRR abs/2303.08697 (2023) - [i155]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. CoRR abs/2304.01196 (2023) - [i154]Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley:
Unsupervised Improvement of Factual Knowledge in Language Models. CoRR abs/2304.01597 (2023) - [i153]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR abs/2305.08300 (2023) - [i152]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR abs/2305.08845 (2023) - [i151]Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. CoRR abs/2305.08848 (2023) - [i150]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. CoRR abs/2305.13731 (2023) - [i149]Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. CoRR abs/2306.02239 (2023) - [i148]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR abs/2306.02980 (2023) - [i147]Tianyang Liu, Canwen Xu, Julian J. McAuley:
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. CoRR abs/2306.03091 (2023) - [i146]Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley:
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. CoRR abs/2306.09635 (2023) - [i145]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. CoRR abs/2306.14893 (2023) - [i144]Jessica Maria Echterhoff, An Yan, Julian J. McAuley:
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews. CoRR abs/2307.03691 (2023) - [i143]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i142]Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley:
Large Language Models as Zero-Shot Conversational Recommenders. CoRR abs/2308.10053 (2023) - [i141]Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao:
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR abs/2308.11336 (2023) - [i140]Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao:
Reinforcement Learning for Generative AI: A Survey. CoRR abs/2308.14328 (2023) - [i139]Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao:
Contrastive Post-training Large Language Models on Data Curriculum. CoRR abs/2310.02263 (2023) - [i138]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. CoRR abs/2310.02367 (2023) - [i137]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i136]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - [i135]Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. CoRR abs/2310.09653 (2023) - [i134]Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley:
Farzi Data: Autoregressive Data Distillation. CoRR abs/2310.09983 (2023) - [i133]Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Unsupervised Lead Sheet Generation via Semantic Compression. CoRR abs/2310.10772 (2023) - [i132]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. CoRR abs/2310.14088 (2023) - [i131]Petros Karypis, Julian J. McAuley, George Karypis:
Extending Input Contexts of Language Models through Training on Segmented Sequences. CoRR abs/2310.14633 (2023) - [i130]Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley:
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. CoRR abs/2310.15433 (2023) - [i129]Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley:
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. CoRR abs/2310.16639 (2023) - [i128]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:
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. CoRR abs/2311.07562 (2023) - [i127]Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong:
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. CoRR abs/2311.12257 (2023) - [i126]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR abs/2312.11554 (2023) - 2022
- [j11]Shehzeen Hussain, Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer, Julian J. McAuley, Farinaz Koushanfar:
Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks. DTRAP 3(3): 30:1-30:23 (2022) - [j10]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5175-5186 (2022) - [c143]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI 2022: 11530-11537 - [c142]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. ACL (1) 2022: 3140-3153 - [c141]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. ACL (Findings) 2022: 3557-3569 - [c140]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. ACL (1) 2022: 6159-6169 - [c139]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
BERT Learns to Teach: Knowledge Distillation with Meta Learning. ACL (1) 2022: 7037-7049 - [c138]Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley:
SkipBERT: Efficient Inference with Shallow Layer Skipping. ACL (1) 2022: 7287-7301 - [c137]Jessica Maria Echterhoff, Matin Yarmand, Julian J. McAuley:
AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks. CHI 2022: 161:1-161:9 - [c136]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
SPOT: Knowledge-Enhanced Language Representations for Information Extraction. CIKM 2022: 1124-1134 - [c135]Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar:
Rank List Sensitivity of Recommender Systems to Interaction Perturbations. CIKM 2022: 1584-1594 - [c134]Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley:
Query-Aware Sequential Recommendation. CIKM 2022: 4019-4023 - [c133]Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili:
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. CLEF (Working Notes) 2022: 1474-1479 - [c132]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
Efficiently Tuned Parameters Are Task Embeddings. EMNLP 2022: 5007-5014 - [c131]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. EMNLP (Findings) 2022: 5854-5866 - [c130]Nafis Sadeq, Canwen Xu, Julian J. McAuley:
InforMask: Unsupervised Informative Masking for Language Model Pretraining. EMNLP 2022: 5866-5878 - [c129]Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. EMNLP 2022: 11077-11090 - [c128]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. ICASSP 2022: 951-955 - [c127]Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. ICML 2022: 14786-14801 - [c126]Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. ISMIR 2022: 726-732 - [c125]Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley:
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC 2022: 2528-2535 - [c124]Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem:
2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2022: 4862-4863 - [c123]Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley:
Instilling Type Knowledge in Language Models via Multi-Task QA. NAACL-HLT (Findings) 2022: 594-603 - [c122]Han Wang, Canwen Xu, Julian J. McAuley:
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. NAACL-HLT 2022: 5483-5492 - [c121]Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley:
Infinite Recommendation Networks: A Data-Centric Approach. NeurIPS 2022 - [c120]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys 2022: 288-298 - [c119]Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. RecSys 2022: 327-337 - [c118]Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR 2022: 1316-1325 - [c117]Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. SIGIR 2022: 2082-2086 - [c116]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. WACV 2022: 2898-2906 - [c115]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. WSDM 2022: 842-850 - [c114]An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley:
Personalized Complementary Product Recommendation. WWW (Companion Volume) 2022: 146-151 - [c113]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. WWW 2022: 2172-2182 - [i125]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. CoRR abs/2201.04768 (2022) - [i124]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. CoRR abs/2202.02519 (2022) - [i123]Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia:
A Review of Modern Fashion Recommender Systems. CoRR abs/2202.02757 (2022) - [i122]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. CoRR abs/2202.06034 (2022) - [i121]Canwen Xu, Julian J. McAuley:
A Survey on Dynamic Neural Networks for Natural Language Processing. CoRR abs/2202.07101 (2022) - [i120]Canwen Xu, Julian J. McAuley:
A Survey on Model Compression for Natural Language Processing. CoRR abs/2202.07105 (2022) - [i119]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. CoRR abs/2202.13469 (2022) - [i118]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR abs/2203.03072 (2022) - [i117]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. CoRR abs/2203.06169 (2022) - [i116]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. CoRR abs/2203.11399 (2022) - [i115]Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. CoRR abs/2204.01839 (2022) - [i114]Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar:
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. CoRR abs/2204.01960 (2022) - [i113]Han Wang, Canwen Xu, Julian J. McAuley:
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. CoRR abs/2204.06305 (2022) - [i112]Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley:
Instilling Type Knowledge in Language Models via Multi-Task QA. CoRR abs/2204.13796 (2022) - [i111]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. CoRR abs/2205.02454 (2022) - [i110]Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley:
Infinite Recommendation Networks: A Data-Centric Approach. CoRR abs/2206.02626 (2022) - [i109]An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. CoRR abs/2207.00422 (2022) - [i108]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. CoRR abs/2207.06983 (2022) - [i107]Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gerard Medioni:
Contrastive Learning for Interactive Recommendation in Fashion. CoRR abs/2207.12033 (2022) - [i106]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR abs/2207.12628 (2022) - [i105]Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. CoRR abs/2208.03645 (2022) - [i104]Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley:
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR abs/2208.05142 (2022) - [i103]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. CoRR abs/2208.09625 (2022) - [i102]Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. CoRR abs/2209.02871 (2022) - [i101]Zhouhang Xie, Julian J. McAuley, Bodhisattwa Prasad Majumder:
On Faithfulness and Coherence of Language Explanations for Recommendation Systems. CoRR abs/2209.05409 (2022) - [i100]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. CoRR abs/2209.12613 (2022) - [i99]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR abs/2209.13885 (2022) - [i98]An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian J. McAuley:
CLIP also Understands Text: Prompting CLIP for Phrase Understanding. CoRR abs/2210.05836 (2022) - [i97]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. CoRR abs/2210.07440 (2022) - [i96]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. CoRR abs/2210.07455 (2022) - [i95]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
Efficiently Tuned Parameters are Task Embeddings. CoRR abs/2210.11705 (2022) - [i94]Nafis Sadeq, Canwen Xu, Julian J. McAuley:
InforMask: Unsupervised Informative Masking for Language Model Pretraining. CoRR abs/2210.11771 (2022) - [i93]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR abs/2210.12316 (2022) - [i92]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. CoRR abs/2212.07065 (2022) - [i91]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR abs/2212.09864 (2022) - 2021
- [c112]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. ACL/IJCNLP (2) 2021: 585-592 - [c111]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) 2021: 4568-4581 - [c110]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. ACML 2021: 252-267 - [c109]Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley:
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM 2021: 3088-3092 - [c108]Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. EACL 2021: 1063-1074 - [c107]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. EMNLP (Findings) 2021: 4009-4015 - [c106]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. EMNLP (Findings) 2021: 4173-4181 - [c105]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. EMNLP (1) 2021: 10653-10659 - [c104]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. ISMIR 2021: 159-166 - [c103]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. ISMIR 2021: 167-173 - [c102]Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem:
Workshop on Online and Adaptative Recommender Systems (OARS). KDD 2021: 4116-4117 - [c101]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. NAACL-HLT 2021: 2139-2145 - [c100]Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. NAACL-HLT 2021: 4300-4312 - [c99]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. RecSys 2021: 44-54 - [c98]Jérémie Rappaz, Julian J. McAuley, Karl Aberer:
Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption. RecSys 2021: 390-399 - [c97]Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley:
ReZero is all you need: fast convergence at large depth. UAI 2021: 1352-1361 - [c96]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium 2021: 2273-2290 - [c95]Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV 2021: 3347-3356 - [e3]Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge:
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. ACM 2021, ISBN 978-1-4503-8458-2 [contents] - [d1]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Bach Violin Dataset. Zenodo, 2021
- [i90]Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. CoRR abs/2101.08333 (2021) - [i89]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. CoRR abs/2102.00151 (2021) - [i88]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. CoRR abs/2102.07325 (2021) - [i87]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR abs/2103.03344 (2021) - [i86]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. CoRR abs/2104.02704 (2021) - [i85]Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. CoRR abs/2104.06828 (2021) - [i84]Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. CoRR abs/2105.08185 (2021) - [i83]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
Meta Learning for Knowledge Distillation. CoRR abs/2106.04570 (2021) - [i82]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. CoRR abs/2106.08364 (2021) - [i81]Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Rationale-Inspired Natural Language Explanations with Commonsense. CoRR abs/2106.13876 (2021) - [i80]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR abs/2107.02282 (2021) - [i79]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
SVP-CF: Selection via Proxy for Collaborative Filtering Data. CoRR abs/2107.04984 (2021) - [i78]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR abs/2107.05916 (2021) - [i77]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. CoRR abs/2108.01769 (2021) - [i76]Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong:
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. CoRR abs/2108.06479 (2021) - [i75]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. CoRR abs/2109.01165 (2021) - [i74]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. CoRR abs/2109.03228 (2021) - [i73]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR abs/2109.03540 (2021) - [i72]Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong:
Modeling Dynamic Attributes for Next Basket Recommendation. CoRR abs/2109.11654 (2021) - [i71]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. CoRR abs/2109.11708 (2021) - [i70]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. CoRR abs/2109.12242 (2021) - [i69]Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley:
Locality-Sensitive Experience Replay for Online Recommendation. CoRR abs/2110.10850 (2021) - [i68]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR abs/2111.02139 (2021) - [i67]Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. CoRR abs/2112.00410 (2021) - [i66]Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Self-Supervised Bot Play for Conversational Recommendation with Justifications. CoRR abs/2112.05197 (2021) - 2020
- [c94]Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley:
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. EMNLP (Findings) 2020: 1954-1960 - [c93]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. EMNLP (1) 2020: 8129-8141 - [c92]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. EMNLP (1) 2020: 9194-9206 - [c91]Adrian Salguero, Julian J. McAuley, Beth Simon, Leo Porter:
A Longitudinal Evaluation of a Best Practices CS1. ICER 2020: 182-193 - [c90]Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell:
Speech Recognition and Multi-Speaker Diarization of Long Conversations. INTERSPEECH 2020: 691-695 - [c89]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. ISMIR 2020: 101-108 - [c88]Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei:
BERT Loses Patience: Fast and Robust Inference with Early Exit. NeurIPS 2020 - [c87]Hengrui Zhang, Julian J. McAuley:
Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. SDM 2020: 73-81 - [c86]Noveen Sachdeva, Julian J. McAuley:
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. SIGIR 2020: 1845-1848 - [c85]Jiacheng Li, Yujie Wang, Julian J. McAuley:
Time Interval Aware Self-Attention for Sequential Recommendation. WSDM 2020: 322-330 - [c84]Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. WSDM 2020: 618-626 - [c83]Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley:
Attentive Sequential Models of Latent Intent for Next Item Recommendation. WWW 2020: 2528-2534 - [i65]Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. CoRR abs/2002.12749 (2020) - [i64]Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian J. McAuley:
ReZero is All You Need: Fast Convergence at Large Depth. CoRR abs/2003.04887 (2020) - [i63]Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang:
Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR abs/2003.07336 (2020) - [i62]Hammad A. Ayyubi, Md. Mehrab Tanjim, Julian J. McAuley, Garrison W. Cottrell:
Generating Rationales in Visual Question Answering. CoRR abs/2004.02032 (2020) - [i61]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Interview: A Large-Scale Open-Source Corpus of Media Dialog. CoRR abs/2004.03090 (2020) - [i60]Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell:
Speech Recognition and Multi-Speaker Diarization of Long Conversations. CoRR abs/2005.08072 (2020) - [i59]Noveen Sachdeva, Julian J. McAuley:
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. CoRR abs/2005.12210 (2020) - [i58]Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei:
BERT Loses Patience: Fast and Robust Inference with Early Exit. CoRR abs/2006.04152 (2020) - [i57]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. CoRR abs/2008.01951 (2020) - [i56]Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley:
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. CoRR abs/2010.02467 (2020) - [i55]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. CoRR abs/2010.03205 (2020)
2010 – 2019
- 2019
- [j9]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:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [c82]Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley:
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. ACL (1) 2019: 2605-2610 - [c81]Wang-Cheng Kang, Julian John McAuley:
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CIKM 2019: 1523-1532 - [c80]An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM 2019: 2173-2176 - [c79]Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-Based Complementary Product Recommendation. CVPR 2019: 10532-10541 - [c78]Jianmo Ni, Jiacheng Li, Julian J. McAuley:
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. EMNLP/IJCNLP (1) 2019: 188-197 - [c77]Liliang Ren, Jianmo Ni, Julian J. McAuley:
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. EMNLP/IJCNLP (1) 2019: 1876-1885 - [c76]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Generating Personalized Recipes from Historical User Preferences. EMNLP/IJCNLP (1) 2019: 5975-5981 - [c75]Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell:
Improving Neural Story Generation by Targeted Common Sense Grounding. EMNLP/IJCNLP (1) 2019: 5987-5992 - [c74]Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Adversarial Audio Synthesis. ICLR (Poster) 2019 - [c73]Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. INTERSPEECH 2019: 186-190 - [c72]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. INTERSPEECH 2019: 481-485 - [c71]Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. ISMIR 2019: 685-692 - [c70]Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton:
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions. MLHC 2019: 663-679 - [c69]Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley:
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. NAACL-HLT (1) 2019: 335-344 - [c68]Jianmo Ni, Larry Muhlstein, Julian J. McAuley:
Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. WWW 2019: 1343-1353 - [e2]Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6674-8 [contents] - [e1]Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6675-5 [contents] - [i54]Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton:
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. CoRR abs/1904.04419 (2019) - [i53]Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley:
Expediting TTS Synthesis with Adversarial Vocoding. CoRR abs/1904.07944 (2019) - [i52]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. CoRR abs/1905.03828 (2019) - [i51]Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley:
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. CoRR abs/1905.13416 (2019) - [i50]Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training. CoRR abs/1907.04868 (2019) - [i49]Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell:
Improving Neural Story Generation by Targeted Common Sense Grounding. CoRR abs/1908.09451 (2019) - [i48]An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR abs/1908.09972 (2019) - [i47]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Generating Personalized Recipes from Historical User Preferences. CoRR abs/1909.00105 (2019) - [i46]Liliang Ren, Jianmo Ni, Julian J. McAuley:
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. CoRR abs/1909.00754 (2019) - [i45]Wang-Cheng Kang, Julian J. McAuley:
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. CoRR abs/1909.05475 (2019) - [i44]Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. CoRR abs/1912.01799 (2019) - 2018
- [j8]Rodney A. Gabriel, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu:
Identifying and characterizing highly similar notes in big clinical note datasets. J. Biomed. Informatics 82: 63-69 (2018) - [c67]Jianmo Ni, Julian J. McAuley:
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. ACL (2) 2018: 706-711 - [c66]Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley:
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. CIKM 2018: 1133-1142 - [c65]Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM 2018: 1143-1152 - [c64]Wang-Cheng Kang, Julian J. McAuley:
Self-Attentive Sequential Recommendation. ICDM 2018: 197-206 - [c63]Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley:
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. ICLR (Poster) 2018 - [c62]Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Synthesizing Audio with GANs. ICLR (Workshop) 2018 - [c61]Nathan H. Ng, Julian J. McAuley, Julian Gingold, Nina Desai, Zachary C. Lipton:
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders. ICLR (Workshop) 2018 - [c60]Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. IJCAI 2018: 5264-5268 - [c59]Chris Donahue, Huanru Henry Mao, Julian J. McAuley:
The NES Music Database: A multi-instrumental dataset with expressive performance attributes. ISMIR 2018: 475-482 - [c58]Zachary C. Lipton, Julian J. McAuley, Alexandra Chouldechova:
Does mitigating ML's impact disparity require treatment disparity? NeurIPS 2018: 8136-8146 - [c57]Rajiv Pasricha, Julian J. McAuley:
Translation-based factorization machines for sequential recommendation. RecSys 2018: 63-71 - [c56]Mengting Wan, Julian J. McAuley:
Item recommendation on monotonic behavior chains. RecSys 2018: 86-94 - [c55]Wang-Cheng Kang, Julian J. McAuley:
Learning consumer and producer embeddings for user-generated content recommendation. RecSys 2018: 407-411 - [c54]Rishabh Misra, Mengting Wan, Julian J. McAuley:
Decomposing fit semantics for product size recommendation in metric spaces. RecSys 2018: 422-426 - [c53]Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley:
Learning within-session budgets from browsing trajectories. RecSys 2018: 432-436 - [c52]Mengting Wan, Julian J. McAuley:
One-Class Recommendation with Asymmetric Textual Feedback. SDM 2018: 648-656 - [c51]Jason Koh, Bharathan Balaji, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Yuvraj Agarwal:
Scrabble: transferrable semi-automated semantic metadata normalization using intermediate representation. BuildSys 2018: 11-20 - [i43]Chris Donahue, Julian J. McAuley, Miller S. Puckette:
Synthesizing Audio with Generative Adversarial Networks. CoRR abs/1802.04208 (2018) - [i42]Chris Donahue, Huanru Henry Mao, Julian J. McAuley:
The NES Music Database: A multi-instrumental dataset with expressive performance attributes. CoRR abs/1806.04278 (2018) - [i41]Charles Packer, Julian J. McAuley, Arnau Ramisa:
Visually-Aware Personalized Recommendation using Interpretable Image Representations. CoRR abs/1806.09820 (2018) - [i40]Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley:
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. CoRR abs/1808.09492 (2018) - [i39]Wang-Cheng Kang, Julian J. McAuley:
Self-Attentive Sequential Recommendation. CoRR abs/1808.09781 (2018) - [i38]Wang-Cheng Kang, Mengting Wan, Julian J. McAuley:
Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR abs/1808.10031 (2018) - [i37]Wang-Cheng Kang, Julian J. McAuley:
Learning Consumer and Producer Embeddings for User-Generated Content Recommendation. CoRR abs/1809.09739 (2018) - [i36]Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-based Complementary Product Recommendation. CoRR abs/1812.01748 (2018) - 2017
- [c50]Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel:
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties. AAAI 2017: 3804-3811 - [c49]Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu:
The presence of highly similar notes within the MIMIC-III dataset. AMIA 2017 - [c48]Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Visually-Aware Fashion Recommendation and Design with Generative Image Models. ICDM 2017: 207-216 - [c47]Chris Donahue, Zachary C. Lipton, Julian J. McAuley:
Dance Dance Convolution. ICLR (Workshop) 2017 - [c46]Chris Donahue, Zachary C. Lipton, Julian J. McAuley:
Dance Dance Convolution. ICML 2017: 1039-1048 - [c45]Chenwei Cai, Ruining He, Julian J. McAuley:
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. IJCAI 2017: 1476-1482 - [c44]Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi:
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching. IJCAI 2017: 4662-4668 - [c43]Anil Kumar Singh, Avijit Thawani, Mayank Panchal, Anubhav Gupta, Julian J. McAuley:
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017). IJCNLP (Shared Tasks) 2017: 17-25 - [c42]Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley:
Estimating Reactions and Recommending Products with Generative Models of Reviews. IJCNLP(1) 2017: 783-791 - [c41]Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King:
Improving recommendation accuracy using networks of substitutable and complementary products. IJCNN 2017: 3649-3655 - [c40]Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton:
Predicting Surgery Duration with Neural Heteroscedastic Regression. MLHC 2017: 100-111 - [c39]Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation. RecSys 2017: 161-169 - [c38]Jason Koh, Dhiman Sengupta, Julian J. McAuley, Rajesh K. Gupta, Bharathan Balaji, Yuvraj Agarwal:
Scrabble: converting unstructured metadata into brick for many buildings. BuildSys 2017: 48:1-48:2 - [c37]Apurva Pathak, Kshitiz Gupta, Julian J. McAuley:
Generating and Personalizing Bundle Recommendations on Steam. SIGIR 2017: 1073-1076 - [c36]Jérémie Rappaz, Maria-Luiza Vladarean, Julian J. McAuley, Michele Catasta:
Bartering Books to Beers: A Recommender System for Exchange Platforms. WSDM 2017: 505-514 - [c35]Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley:
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. WWW 2017: 1103-1112 - [r2]Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine:
Graphical Models. Encyclopedia of Machine Learning and Data Mining 2017: 584-592 - [i35]Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton:
Predicting Surgery Duration with Neural Heteroscedastic Regression. CoRR abs/1702.05386 (2017) - [i34]Chris Donahue, Zachary C. Lipton, Julian J. McAuley:
Dance Dance Convolution. CoRR abs/1703.06891 (2017) - [i33]Sanjeev Shenoy, Tsung-Ting Kuo, Rodney A. Gabriel, Julian J. McAuley, Chun-Nan Hsu:
Deduplication in a massive clinical note dataset. CoRR abs/1704.05617 (2017) - [i32]Chris Donahue, Akshay Balsubramani, Julian J. McAuley, Zachary C. Lipton:
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. CoRR abs/1705.07904 (2017) - [i31]Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation. CoRR abs/1707.02410 (2017) - [i30]Chenwei Cai, Ruining He, Julian J. McAuley:
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. CoRR abs/1708.04497 (2017) - [i29]Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Visually-Aware Fashion Recommendation and Design with Generative Image Models. CoRR abs/1711.02231 (2017) - [i28]Zachary C. Lipton, Alexandra Chouldechova, Julian J. McAuley:
Does mitigating ML's disparate impact require disparate treatment? CoRR abs/1711.07076 (2017) - 2016
- [c34]Ruining He, Julian J. McAuley:
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. AAAI 2016: 144-150 - [c33]Zhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel:
Pairwise Matching through Max-Weight Bipartite Belief Propagation. CVPR 2016: 1202-1210 - [c32]Ruining He, Julian J. McAuley:
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. ICDM 2016: 191-200 - [c31]Mengting Wan, Julian J. McAuley:
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. ICDM 2016: 489-498 - [c30]Ruining He, Charles Packer, Julian J. McAuley:
Learning Compatibility Across Categories for Heterogeneous Item Recommendation. ICDM 2016: 937-942 - [c29]Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley:
Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering. IJCAI 2016: 3740-3746 - [c28]Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. RecSys 2016: 309-316 - [c27]Ruining He, Chunbin Lin, Julian J. McAuley:
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. WWW (Companion Volume) 2016: 199-202 - [c26]Ruining He, Julian J. McAuley:
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. WWW 2016: 507-517 - [c25]Julian J. McAuley, Alex Yang:
Addressing Complex and Subjective Product-Related Queries with Customer Reviews. WWW 2016: 625-635 - [i27]Ruining He, Julian J. McAuley:
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. CoRR abs/1602.01585 (2016) - [i26]Ruining He, Charles Packer, Julian J. McAuley:
Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. CoRR abs/1603.09473 (2016) - [i25]Ruining He, Chunbin Lin, Julian J. McAuley:
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. CoRR abs/1604.00071 (2016) - [i24]Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley:
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering. CoRR abs/1604.05813 (2016) - [i23]Olivia Simpson, Julian J. McAuley:
Predicting risky behavior in social communities. CoRR abs/1606.08942 (2016) - [i22]Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. CoRR abs/1607.04373 (2016) - [i21]Ruining He, Julian J. McAuley:
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. CoRR abs/1609.09152 (2016) - [i20]Mengting Wan, Julian J. McAuley:
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. CoRR abs/1610.08095 (2016) - 2015
- [c24]Tong Zhao, Julian J. McAuley, Irwin King:
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. CIKM 2015: 821-830 - [c23]Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie:
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences. ICCV 2015: 4642-4650 - [c22]Julian J. McAuley, Rahul Pandey, Jure Leskovec:
Inferring Networks of Substitutable and Complementary Products. KDD 2015: 785-794 - [c21]Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet:
Top-N Recommendation with Missing Implicit Feedback. RecSys 2015: 309-312 - [c20]Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-Based Recommendations on Styles and Substitutes. SIGIR 2015: 43-52 - [i19]Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel:
Image-based Recommendations on Styles and Substitutes. CoRR abs/1506.04757 (2015) - [i18]Julian J. McAuley, Rahul Pandey, Jure Leskovec:
Inferring Networks of Substitutable and Complementary Products. CoRR abs/1506.08839 (2015) - [i17]Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie:
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences. CoRR abs/1509.07473 (2015) - [i16]Ruining He, Julian J. McAuley:
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. CoRR abs/1510.01784 (2015) - [i15]Zachary Chase Lipton, Sharad Vikram, Julian J. McAuley:
Capturing Meaning in Product Reviews with Character-Level Generative Text Models. CoRR abs/1511.03683 (2015) - [i14]Julian J. McAuley, Alex Yang:
Addressing Complex and Subjective Product-Related Queries with Customer Reviews. CoRR abs/1512.06863 (2015) - 2014
- [j7]Julian J. McAuley, Jure Leskovec:
Discovering social circles in ego networks. ACM Trans. Knowl. Discov. Data 8(1): 4:1-4:28 (2014) - [c19]Tong Zhao, Julian J. McAuley, Irwin King:
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. CIKM 2014: 261-270 - [c18]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting cohesive and 2-mode communities indirected and undirected networks. WSDM 2014: 323-332 - [c17]Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah:
Finding progression stages in time-evolving event sequences. WWW 2014: 783-794 - [i13]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Community Detection in Networks with Node Attributes. CoRR abs/1401.7267 (2014) - [i12]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks. CoRR abs/1401.7375 (2014) - 2013
- [j6]Julian J. McAuley, Arnau Ramisa, Tibério S. Caetano:
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies. Int. J. Comput. Vis. 104(3): 343-361 (2013) - [c16]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Community Detection in Networks with Node Attributes. ICDM 2013: 1151-1156 - [c15]Himabindu Lakkaraju, Julian J. McAuley, Jure Leskovec:
What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media. ICWSM 2013 - [c14]Julian J. McAuley, Jure Leskovec:
Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys 2013: 165-172 - [c13]Julian J. McAuley, Jure Leskovec:
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews. WWW 2013: 897-908 - [i11]Julian J. McAuley, Jure Leskovec:
From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews. CoRR abs/1303.4402 (2013) - 2012
- [j5]Julian J. McAuley, Tibério S. Caetano:
Fast matching of large point sets under occlusions. Pattern Recognit. 45(1): 563-569 (2012) - [c12]Julian J. McAuley, Jure Leskovec:
Image Labeling on a Network: Using Social-Network Metadata for Image Classification. ECCV (4) 2012: 828-841 - [c11]Julian J. McAuley, Jure Leskovec, Dan Jurafsky:
Learning Attitudes and Attributes from Multi-aspect Reviews. ICDM 2012: 1020-1025 - [c10]Julian J. McAuley, Jure Leskovec:
Learning to Discover Social Circles in Ego Networks. NIPS 2012: 548-556 - [i10]Julian J. McAuley, Jure Leskovec:
Image Labeling on a Network: Using Social-Network Metadata for Image Classification. CoRR abs/1207.3809 (2012) - [i9]Julian J. McAuley, Jure Leskovec, Dan Jurafsky:
Learning Attitudes and Attributes from Multi-Aspect Reviews. CoRR abs/1210.3926 (2012) - [i8]Julian J. McAuley, Jure Leskovec:
Discovering Social Circles in Ego Networks. CoRR abs/1210.8182 (2012) - 2011
- [j4]Julian J. McAuley, Tibério S. Caetano:
Faster Algorithms for Max-Product Message-Passing. J. Mach. Learn. Res. 12: 1349-1388 (2011) - [j3]Pedro F. Felzenszwalb, Julian J. McAuley:
Fast Inference with Min-Sum Matrix Product. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2549-2554 (2011) - [c9]Julian J. McAuley, Arnau Ramisa, Tibério S. Caetano:
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study. EMMCVPR 2011: 355-368 - 2010
- [c8]Julian J. McAuley, Teofilo de Campos, Tibério S. Caetano:
Unified graph matching in Euclidean spaces. CVPR 2010: 1871-1878 - [c7]Julian J. McAuley, Tibério S. Caetano:
Exploiting Data-Independence for Fast Belief-Propagation. ICML 2010: 767-774 - [c6]Julian J. McAuley, Tibério S. Caetano:
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms. AISTATS 2010: 525-532 - [r1]Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine:
Graphical Models. Encyclopedia of Machine Learning 2010: 471-479
2000 – 2009
- 2009
- [j2]Tibério S. Caetano, Julian J. McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola:
Learning Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1048-1058 (2009) - [c5]Julian J. McAuley, Teófilo Emídio de Campos, Gabriela Csurka, Florent Perronnin:
Hierarchical Image-Region Labeling via Structured Learning. BMVC 2009: 1-11 - [c4]Longbin Chen, Julian J. McAuley, Rogério Schmidt Feris, Tibério S. Caetano, Matthew A. Turk:
Shape classification through structured learning of matching measures. CVPR 2009: 365-372 - [c3]James Petterson, Tibério S. Caetano, Julian J. McAuley, Jin Yu:
Exponential Family Graph Matching and Ranking. NIPS 2009: 1455-1463 - [i7]James Petterson, Tibério S. Caetano, Julian J. McAuley, Jin Yu:
Exponential Family Graph Matching and Ranking. CoRR abs/0904.2623 (2009) - [i6]Julian J. McAuley, Tibério S. Caetano:
Exact Inference in Graphical Models: is There More to it? CoRR abs/0910.3301 (2009) - [i5]Julian J. McAuley, Tibério S. Caetano:
An expected-case sub-cubic solution to the all-pairs shortest path problem in R. CoRR abs/0912.0975 (2009) - 2008
- [j1]Julian J. McAuley, Tibério S. Caetano, Marconi S. Barbosa:
Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 2047-2054 (2008) - [c2]Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola:
Robust Near-Isometric Matching via Structured Learning of Graphical Models. NIPS 2008: 1057-1064 - [i4]Tibério S. Caetano, Julian J. McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola:
Learning Graph Matching. CoRR abs/0806.2890 (2008) - [i3]Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola:
Robust Near-Isometric Matching via Structured Learning of Graphical Models. CoRR abs/0809.3618 (2008) - 2007
- [i2]Julian J. McAuley, Tibério S. Caetano, Marconi S. Barbosa:
Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching. CoRR abs/0710.0043 (2007) - [i1]Julian John McAuley, Tibério S. Caetano:
High-Order Nonparametric Belief-Propagation for Fast Image Inpainting. CoRR abs/0710.0243 (2007) - 2006
- [c1]Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola, Matthias O. Franz:
Learning high-order MRF priors of color images. ICML 2006: 617-624
Coauthor Index
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