Zhenrui Yue | University of Illinois Urbana-Champaign

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

[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

Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang
NAACL 2024 [Paper]

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]

Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
CIKM 2023 [Paper]

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]

Domain Adaptation for Question Answering via Question Classification
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang
COLING 2022 [Paper] [Code]

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]

BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring
Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen
NILM@SenSys 2020 [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 :)