Scholar
Ruijie Wang
Google Scholar ID: S1TuNNIAAAAJ
University of Illinois Urbana-Champaign
Citations & Impact
Citations
1,094
H-index
18
i10-index
27
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - September 2025: Elected as an Executive Member of CCF Expert Committee on Big Data.
- - August 2025: Papers accepted at EMNLP 2025 and CIKM 2025.
- - June 2025: Best Paper Award at IEEE DCOSS 2025 for RestoreML on test time training.
- - May 2025: Paper on synthetic preference data generation accepted at ACL 2025.
- - May 2025: Paper on polynomial graph filters for scalable GAD accepted at KDD 2025.
- - January 2025: Paper on agentic continual pre-training accepted at NAACL 2025.
- - December 2024: Paper on synthetic sensing data generation accepted at Infocom 2025.
- - September 2024: Two papers accepted by NeurIPS 2024 and Sensys 2024 respectively.
- - July 2024: Tutorial proposal 'Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools' accepted by CIKM 2024 Tutorial Track.
- - May 2024: Hosted a challenge 'Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking' in IEEE BigData Cup 2024.
- - March 2024: Two papers accepted by SIGIR 2024.
- - January 2024: One paper accepted by WWW 2024.
- - September 2023: Two papers accepted by NeurIPS 2023.
- - May 2023: Launched 'Anatomy of Conflict Tools', featuring end-to-end real-time social network analysis capabilities.
- - May 2023: One paper accepted by ACL 2023.
- - January 2023: One paper accepted by WWW 2023.
Research Experience
- - 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.
Education
- - Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC), 2023, advised by Prof. Tarek F. Abdelzaher, and mentored by Prof. Jiawei Han and Prof. Hanghang Tong.
- - Bachelor's degree from the Computer Science Department at Shanghai Jiao Tong University, 2019, conducted research under the guidance of Prof. Xinbing Wang and Prof. Weinan Zhang.
Background
- Research Interests: Trustworthy and efficient AI in open and dynamic environments, at the intersection of language, graph, and time-series data. Developing 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.
Co-authors