Zhenrui Yue

About Me

Hello, this is Zhenrui Yue (岳真锐 in Chinese)! I am a 3rd year Ph.D. candidate in Cognitive Science & Language Processing at University of Illinois Urbana-Champaign, advised by Prof. Dong Wang. Prior to that, I graduated with B.S. in Mechatronics and Information Technology and M.S. in Robotics, Cognition, Intelligence from Technische Universität München. I have broad research interests in natural language processing, recommender systems and information retrieval. I am particularly interested in building efficient and reliable large language models (LLMs) and large multimodal models (LMMs), with real-world applications such as conversation and recommendation.

News

• [May. 2024] Two papers (1 main & 1 findings) accepted to ACL 2024, stay tuned for our preprint!
• [Apr. 2024] One SIGIR ‘24 paper on fair sequential recommendation accepted!
• [Mar. 2024] Two NAACL ‘24 papers accepted, stay tuned for our preprint & code!
• [Feb. 2024] I will join Google to research on retrieval augmented generation summer 2024!
• [Dec. 2023] Just reached 200 citations on Google Scholar:)
• [Oct. 2023] Our LRURec is accepted to WSDM ‘24, check out our preprint & code now!
• [Sep. 2023] One PGAI ‘23 workshop paper on LLM for recommendation accepted.
• [Aug. 2023] One CIKM ‘23 paper on poisoning uncertainty estimation accepted.
• [May. 2023] Two ACL ‘23 papers accepted, stay tuned for our preprint & code!
• [Mar. 2023] I just reached the 100 citation milestone on Google Scholar:)
• [Dec. 2022] I will be joining NVIDIA for LLM x RecSys research in summer 2023!
• [Oct. 2022] One EMNLP ‘22 full paper on domain adaptive question answering accepted!

Selected Publications

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
ACL 2024 [Preprint and Code Coming Soon!]

Open-Vocabulary Federated Learning with Multimodal Prototyping
Huimin Zeng, Zhenrui Yue, Dong Wang
NAACL 2024 [Paper] [Code]

Linear Recurrent Units for Sequential Recommendation
Zhenrui Yue*, Yueqi Wang*, Zhankui He, Huimin Zeng, Julian McAuley, Dong Wang
WSDM 2024 [Paper] [Code]

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Zhenrui Yue, Sara Rabhi, Gabriel Moreira, Dong Wang, Even Oldridge
PGAI@CIKM 2023 [Paper] [Code]

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang
ACL 2023 [Paper] [Code]

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang
ACL 2023 [Paper] [Code]

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
CIKM 2022 [Paper] [Code]

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
IJCAI 2022 [Paper]

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
RecSys 2022 [Paper] [Code]

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel
EMNLP 2021 [Paper] [Code]

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
Zhenrui Yue*, Zhankui He*, Huimin Zeng, Julian McAuley
RecSys 2021 [Paper] [Code]

Full publication list can be found on my google scholar page.

Miscellaneous

Languages: Chinese, Cantonese, English, German and a bit Spanish.

Teaching: IS203 Discrete Math, IS206 Database, IS327 Machine Learning, IS496 Computer Networks.

Service: AAAI 2023 - 2024, ARR 2023 - 2024 (ACL, EMNLP, NAACL etc.), ASONAM 2023 - 2024, TheWebConf 2024, PGAI@CIKM 2023, KnowledgeNLP@AAAI 2023, COLING 2022, ACM TIST, ACM TKDD, IEEE SmartGrid, IEEE TBD, Springer SNAM.

More will be added when I have time :)

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