Ruijie Wang (王睿杰)
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Postdoctoral Research Associate, |
About me
Welcome to my homepage! I was a Postdoctoral Research Associate from the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC) . I obtained my Ph.D. from CS department at UIUC, advised by Prof. Tarek F. Abdelzaher. Prior to UIUC, I received my bachelor degree from Computer Science Department in Shanghai Jiao Tong University, under the supervision of Prof. Xinbing Wang and Prof. Weinan Zhang.
Research Interests
Graph Machine Learning: temporal graph learning, link prediction, temporal reasoning, few-shot learning
Efficient Graph Learning Platform: online graph learning, distributed training, real-time fine-tuning
Foundation Model for Multi-Modal Data: graph foudation model, multi-vantage signal pretraining, time-series analysis
Applications: recommendation, knowledge graph reasoning, social network analysis
News
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
Jan 2024-Present, CS@UIUC, Postdoctoral Research Associate, IL, USA.
Jan 2023-Present, 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.