Zhenrui Yue

About Me

Hello, this is Zhenrui Yue (岳真锐 in Chinese)! I am a 4th year Ph.D. candidate in Cognitive Science & Language Processing with Dr. Wang at University of Illinois Urbana-Champaign. 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

• [Nov. 2024] Just reached 500 citations on Google Scholar:)
• [Oct. 2024] Check out our paper on inference scaling for long-context RAG!
• [Sep. 2024] We have a findings paper at EMNLP 2024:)
• [Aug. 2024] Gave a talk at LinkedIn on LLM / LMM for efficient recommendation.
• [Jul. 2024] Gave a talk at UBER on efficient sequential recommendation & LRURec.
• [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 in summer 2024!

Experience

Google DeepMind Student Researcher

Mountain View, CA May 2024 - Present

NVIDIA AI Research Intern

Remote, IL May 2023 - Aug 2023

Selected Publications

• Inference Scaling for Long-Context Retrieval Augmented Generation
  Zhenrui Yue*, Honglei Zhuang*, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
  Technical Report [Paper]

• Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
  Yueqi Wang*, Zhenrui Yue*, Huimin Zeng, Dong Wang, Julian McAuley
  Findings of EMNLP 2024 [Paper] [Code]

• Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
  Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang
  ACL 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]

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

 Service: AAAI, ARR (ACL, EMNLP, NAACL), COLING, ICLR, WWW, etc.

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

 More will be added when I have time :)

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