Julian McAuley

Julian McAuley

University of California, San Diego

H-index: 61

North America-United States

About Julian McAuley

Julian McAuley, With an exceptional h-index of 61 and a recent h-index of 57 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Recommender Systems, Natural Language Processing, Personalization.

His recent articles reflect a diverse array of research interests and contributions to the field:

AgentCF: Collaborative learning with autonomous language agents for recommender systems

FaceSigns: semi-fragile neural watermarks for media authentication and countering deepfakes

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Off-policy evaluation for large action spaces via policy convolution

MEMORYLLM: Towards Self-Updatable Large Language Models

Julian McAuley Information

University

Position

Associate Professor

Citations(all)

27652

Citations(since 2020)

21317

Cited By

12835

hIndex(all)

61

hIndex(since 2020)

57

i10Index(all)

161

i10Index(since 2020)

145

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Julian McAuley Skills & Research Interests

Recommender Systems

Natural Language Processing

Personalization

Top articles of Julian McAuley

Title

Journal

Author(s)

Publication Date

AgentCF: Collaborative learning with autonomous language agents for recommender systems

Junjie Zhang

Yupeng Hou

Ruobing Xie

Wenqi Sun

Julian McAuley

...

2024

FaceSigns: semi-fragile neural watermarks for media authentication and countering deepfakes

arXiv preprint arXiv:2204.01960

Paarth Neekhara

Shehzeen Hussain

Xinqiao Zhang

Ke Huang

Julian McAuley

...

2022/4/5

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

arXiv preprint arXiv:2402.08785

Jianing Wang

Junda Wu

Yupeng Hou

Yao Liu

Ming Gao

...

2024/2/13

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs

arXiv preprint arXiv:2404.16375

An Yan

Zhengyuan Yang

Junda Wu

Wanrong Zhu

Jianwei Yang

...

2024/4/25

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation

arXiv preprint arXiv:2403.09738

Se-eun Yoon

Zhankui He

Jessica Maria Echterhoff

Julian McAuley

2024/3/13

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

arXiv preprint arXiv:2402.13449

Zexue He

Leonid Karlinsky

Donghyun Kim

Julian McAuley

Dmitry Krotov

...

2024/2/21

Off-policy evaluation for large action spaces via policy convolution

Yuta Saito

Qingyang Ren

Thorsten Joachims

2023/7/3

MEMORYLLM: Towards Self-Updatable Large Language Models

arXiv preprint arXiv:2402.04624

Yu Wang

Xiusi Chen

Jingbo Shang

Julian McAuley

2024/2/7

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

arXiv preprint arXiv:2404.15676

Yu Xia

Rui Wang

Xu Liu

Mingyan Li

Tong Yu

...

2024/4/24

LVCHAT: Facilitating Long Video Comprehension

arXiv preprint arXiv:2402.12079

Yu Wang

Zeyuan Zhang

Julian McAuley

Zexue He

2024/2/19

StarCoder 2 and The Stack v2: The Next Generation

arXiv preprint arXiv:2402.19173

Anton Lozhkov

Raymond Li

Loubna Ben Allal

Federico Cassano

Joel Lamy-Poirier

...

2024/2/29

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

Yashar Deldjoo

Zhankui He

Julian McAuley

Anton Korikov

Scott Sanner

...

2024/3/31

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

arXiv preprint arXiv:2402.03481

Sejoon Oh

Berk Ustun

Julian McAuley

Srijan Kumar

2024/2/5

Linear Recurrent Units for sequential recommendation

Zhenrui Yue

Yueqi Wang

Zhankui He

Huimin Zeng

Julian McAuley

...

2024/3/4

Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

arXiv preprint arXiv:2402.11558

Yakun Chen

Kaize Shi

Zhangkai Wu

Juan Chen

Xianzhi Wang

...

2024/2/18

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding

arXiv preprint arXiv:2402.19009

Guangyi Liu

Yu Wang

Zeyu Feng

Qiyu Wu

Liping Tang

...

2024/2/29

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning

arXiv preprint arXiv:2403.15737

Zhouhang Xie

Bodhisattwa Prasad Majumder

Mengjie Zhao

Yoshinori Maeda

Keiichi Yamada

...

2024/3/23

DITTO: Diffusion Inference-Time T-Optimization for Music Generation

arXiv preprint arXiv:2401.12179

Zachary Novack

Julian McAuley

Taylor Berg-Kirkpatrick

Nicholas J Bryan

2024/1/22

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization

WWW 2024

Jiarui Jin

Zexue He

Mengyue Yang

Weinan Zhang

Yong Yu

...

2023

Foundation Models for Recommender Systems: A Survey and New Perspectives

arXiv preprint arXiv:2402.11143

Chengkai Huang

Tong Yu

Kaige Xie

Shuai Zhang

Lina Yao

...

2024/2/17

See List of Professors in Julian McAuley University(University of California, San Diego)

Co-Authors

H-index: 147
Jure Leskovec

Jure Leskovec

Stanford University

H-index: 69
Farinaz Koushanfar

Farinaz Koushanfar

University of California, San Diego

H-index: 53
Zachary C. Lipton

Zachary C. Lipton

Carnegie Mellon University

H-index: 37
Taylor Berg-Kirkpatrick

Taylor Berg-Kirkpatrick

University of California, San Diego

H-index: 29
Miller Puckette

Miller Puckette

University of California, San Diego

H-index: 16
Canwen Xu

Canwen Xu

University of California, San Diego

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