Zhenrui Yue

About Me

Hello, I’m Zhenrui Yue (岳真锐 in Chinese), a research scientist at Google DeepMind. I recently earned my Ph.D. at University of Illinois Urbana-Champaign with Dr. 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. Currently, my work emphasizes the post-training of large language models (LLMs) and the development of high-performance, autonomous and personalized agents.

News

• [Mar. 2026] Just defended my PhD thesis🎉🎉
• [Jan. 2026] Check our recent efforts in data-free self-evolution: Dr. Zero!
• [Dec. 2025] Started as research scientist at Google Deepmind:)
• [Sep. 2025] HRPO is accepted to NeurIPS 2025🎉
• [Aug. 2025] One paper accepted to EMNLP 2025 main!
• [Jul. 2025] Just reached 1k citations on Google Scholar!
• [Jun. 2025] One paper on multimodal recommendation accepted to KDD 2025!
• [May. 2025] Just passed my PhD preliminary exam 🎉🎉
• [Mar. 2025] Check our recent efforts in integrating serach into reasoning LLMs: Search-R1!
• [Feb. 2025] I will join Meta GenAI to work on LLM post-training in summer 2025:)
• [Jan. 2025] Inference scaling for long-context RAG is accepted to ICLR with oral presentation 🎉

Experience

Meta MSL / GenAI Research Intern

Menlo Park, CA May 2025 - Dec 2025

Google DeepMind Student Researcher

Mountain View, CA May 2024 - Dec 2024

NVIDIA Research Intern

Remote, IL May 2023 - Aug 2023

Selected Publications

• Dr. Zero: Self-Evolving Search Agents without Training Data
  Zhenrui Yue, Kartikeya Upasani, Xianjun Yang, Suyu Ge, Shaoliang Nie, Yuning Mao, Zhe Liu, Dong Wang
  ArXiv 2026 [Paper] [Code]

• Hybrid Latent Reasoning via Reinforcement Learning
  Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang
  NeurIPS 2025 [Paper] [Code]

• Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
  Bowen Jin, Hansi Zeng, Zhenrui Yue, Jinsung Yoon, Sercan Arik, Dong Wang, Hamed Zamani, Jiawei Han
  COLM 2025 [Paper] [Code]

• 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
  ICLR 2025 (Oral) [Paper]

• 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 (Oral) [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 (Oral) [Paper] [Code]

 Full publication list can be found on my google scholar.

Miscellaneous

 SPC / AC: ARR (ACL, EMNLP, NAACL, etc.).

 Reviewer: AAAI, ARR, COLING, COLM, ICCV, ICLR, KDD, NeurIPS, SIGIR, WWW, etc.

 Teaching: Discrete Math, Intro to Database, Machine Learning, Computer Networks.

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

 More will be added when I have time :)

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