Ruijie Wang (王睿杰)
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Tenure-Track Professor |
About me
Welcome to my homepage! I am a Tenure-Track Professor at the School of Computer Science and Engineering of Beihang University.
I obtained my Ph.D. from the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC) in 2023. I was fortunate to have Prof. Tarek F. Abdelzaher as my advisor and grateful for the mentorship from Prof. Jiawei Han and Prof. Hanghang Tong.
Prior to UIUC, I received my bachelor degree from the Computer Science Department in Shanghai Jiao Tong University in 2019, where I had the privilege of conducting research under the guidance of Prof. Xinbing Wang and Prof. Weinan Zhang.
My research focuses on trustworthy and efficient AI in open and dynamic environments, at the intersection of language, graph, and time-series data. I develop multimodal foundation models and systems that harness structured knowledge for reliable perception, reasoning, and decision-making, with applications in recommender systems, agents, and AI for science. The recent topics I am working on include:
Reinforcement learning for large language model alignment and fine-tuning (e.g., RLHF, RLVR)
Agentic AI and complex reasoning
Graph-centric multimodal foundation models
Graph machine learning and large language models for scientific computing
Prospective students: We are constantly looking for well motivated students at all level (Undergrad/Intern/M.S./Ph.D.) to work with me. If you are interested in our research, please feel free to reach out to me (ruijiew [AT] buaa.edu.cn). Hiring Details
News
Sept 2025 I was elected as an Executive Member of CCF Expert Committee on Big Data (CCF大数据专家委员会执行委员).
Aug 2025 Papers were accepted at EMNLP 2025 and CIKM 2025.
June 2025 Our paper RestoreML on test time training won Best Paper Award in IEEE DCOSS 2025.
May 2025 One paper on synthetic preference data generation was accepted at ACL 2025.
May 2025 One paper on polynomial graph filters for scalable GAD was accepted at KDD 2025.
Jan 2025 One paper on agentic continual pre-training was accepted at NAACL 2025.
Dec 2024 A paper on synthetic sensing data generation was accepted at Infocom 2025.
Sept 2024 Two paper were accepted by NeurIPS 2024 and Sensys 2024 respectively.
July 2024 Our tutorial proposal "Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools" was accepted by CIKM 2024 Tutorial Track.
May 2024 We host a challenge Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking in IEEE BigData Cup 2024.
March 2024 Two papers were accepted by SIGIR 2024.
Jan 2024 One paper was accepted by WWW 2024.
Sept 2023 - Two papers were accepted by NeurIPS 2023.
May 2023 - We have launched the Anotomy of Conflict Tools, featuring a range of end-to-end real-time social network analysis capabilities. Feel free to submit your own task and check our anaysis result!
May 2023 - One paper was accepted by ACL 2023.
Jan 2023 - One paper was accepted by WWW 2023.
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Experiences
July 2025-Present, Beihang University, Tenure-Track Professor, Beijing, China.
Aug 2024-June 2025, Amazon SFAI, Applied Scientist II, CA, USA. Research topic: LLM Post-Training and Alignment.
Jan 2024-Aug 2024, CS@UIUC, Postdoctoral Research Associate, IL, USA.
Jan 2023-Aug 2024, SRC Research Scholars Program, Research Scholar, IL, USA. Research topic: Efficient Graph Learning on Large-scale Graphs.
July 2019-Dec 2023, CS@UIUC, Research Assistant, IL, USA.
May 2022-Oct 2022, Amazon Search (A9), Applied Scientist Intern, Search and NLP group, Palo Alto, CA, USA. Research topic: Cross-lingual Transfer.
May 2021-Sept 2022, Amazon Search (A9), Applied Scientist Intern, Search and NLP group, Palo Alto, CA, USA. Research topic: KG-based Recommendation.
Jul 2017-June 2019, Shanghai Jiao Tong University, Research Assistant, IIoT Lab, Shanghai, China. Research topic: Academic Data Mining.