Julian J. McAuley

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 334

Top Venues

Publications

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 (2024)
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 (2024)
Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
Fair Sequential Recommendation without User Demographics. SIGIR (2024)
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)
Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
Bridging Language and Items for Retrieval and Recommendation. CoRR (2024)
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)
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)
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 (2024)
Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He
Cognitive Bias in High-Stakes Decision-Making with LLMs. CoRR (2024)
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)
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)
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 (2024)
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)
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR (2024)
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 (2024)
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 (2024)
Tianyang Liu, Canwen Xu, Julian J. McAuley
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. ICLR (2024)
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 (2024)
Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He
LVCHAT: Facilitating Long Video Comprehension. CoRR (2024)
Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. WWW (2024)
Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning. CoRR (2024)
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 (2024)
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. CoRR (2024)
Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
DITTO: Diffusion Inference-Time T-Optimization for Music Generation. CoRR (2024)
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 (2024)
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)
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)
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 (2024)
Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley
Avoiding Decision Fatigue with AI-Assisted Decision-Making. UMAP (2024)
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI (2024)
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)
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu
Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR (2024)
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) (2024)
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)
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 (2024)
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)
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 (2024)
Se-eun Yoon, Hyunsik Jeon, Julian J. McAuley
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation. CoRR (2024)
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian J. McAuley
Large Scale Knowledge Washing. CoRR (2024)
Zihan Liu, Yupeng Hou, Julian J. McAuley
Multi-Behavior Generative Recommendation. CoRR (2024)
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) (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. CoRR (2024)
Nafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley
Mitigating Hallucination in Fictional Character Role-Play. CoRR (2024)
Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR (2024)
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 (2024)
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 (2024)
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
Linear Recurrent Units for Sequential Recommendation. WSDM (2024)
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)
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)
Ryan Tran, Canwen Xu, Julian J. McAuley
Spoiler Detection as Semantic Text Matching. EMNLP (2023)
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)
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 (2023)
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)
Canwen Xu, Julian J. McAuley
A Survey on Dynamic Neural Networks for Natural Language Processing. EACL (Findings) (2023)
Noveen Sachdeva, Julian J. McAuley
Data Distillation: A Survey. CoRR (2023)
Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. 25 (2023)
Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. BigData (2023)
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 (2023)
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 (2023)
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)
Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick
Multitrack Music Transformer. ICASSP (2023)
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 (2023)
Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI (2023)
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 (2023)
Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. EMNLP (2023)
Canwen Xu, Julian J. McAuley, Penghan Wang
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. WWW (Companion Volume) (2023)
Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW (2023)
Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder
Factual and Informative Review Generation for Explainable Recommendation. AAAI (2023)
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)
Noveen Sachdeva, Julian J. McAuley
Data Distillation: A Survey. Trans. Mach. Learn. Res. 2023 (2023)
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)
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)
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD (2023)
Canwen Xu, Julian J. McAuley
A Survey on Model Compression and Acceleration for Pretrained Language Models. AAAI (2023)
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. CoRR (2023)
Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
Farzi Data: Autoregressive Data Distillation. CoRR (2023)
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 (2023)
Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) (2023)
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML (2023)
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)
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
Assistive Recipe Editing through Critiquing. EACL (2023)
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 (2023)
Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley
Unsupervised Improvement of Factual Knowledge in Language Models. CoRR (2023)
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)
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)
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)
Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley
Jointly modeling products and resource pages for task-oriented recommendation. WWW (Companion Volume) (2023)
Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR (2023)
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 (2023)
Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley
Unsupervised Improvement of Factual Knowledge in Language Models. EACL (2023)
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 (2023)
Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. ICML (2023)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. CoRR (2023)
Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao
Reinforcement Learning for Generative AI: A Survey. CoRR (2023)
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 (2023)

Julian J. McAuley.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Julian J. McAuley