The iDEA-iSAIL Joint Laboratory, founded by Prof. Hanghang Tong and Prof. Jingrui He, pioneers full-stack research for big data and AI solutions. Our mission is to deepen the understanding of diverse data sources—including graph data, heterogeneous data, online data, time series data, geospatial data and multi-modal data—by developing advanced, scalable, and trustworthy ML models and AI services that harness the unique properties of the data. Some applications of our research includes social networks analysis, rare category analysis, recommendation, healthcare, agriculture and climate modeling. We are housed in and supported by both Siebel School of Computing and Data Science (mainly Data and Information Systems Group) and School of Information Sciences at University of Illinois Urbana-Champaign.
Established in 2019, by the efforts of both talented students and dedicated collaborators, we have made a growing research impact, publishing over 100 papers in top-tier venues.
We are excited to have 6 papers (1 spotlight) accepted at NeurIPS 2024! Congratulations to all authors!
We are grateful to the NSF AI-Safety program for awarding us a new $800,000 grant to support our research on safe graph neural networks: “NetSafe: Towards a Computational Foundation of Safe Graph Neural Networks”. [Read More]
We are thrilled to have Gaotang, Jiaru, Mengting, Ting-Wei, Sirui, and Xuying joining our lab. Welcome to the iDEA-iSAIL family!
Congrats to Prof.Tong for being named University Scholars in recognition of excellence in teaching, scholarship and service. [Read More]
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Congrats to our new alumni! Yikun will begin his postdoc at UIUC; Dongqi is taking on a research scientist role at Meta; Lihui is stepping into an assistant professor position at Wayne State University; and Jun is joining Michigan State University as an assistant professor.
We have 4 papers accepted at ICML 2024; 3 papers accepted at KDD 2024; 1 tutorial accepted at KDD 2024.
Congrats to Prof.He for being named 2023 ACM Distinguished Member "for contributions to modeling data heterogeneity, connecting theory, methodology, and real applications.". [Read More]
We have 4 papers accepted at ICLR 2024; 4 papers accepted at WWW 2024; 2 tutorials accepted at WWW 2024.
We are grateful to the IBM-Illinois Discovery Accelerator Institute for awarding us a new $600,000 grant to support our research on improving modeling climate change and its impact across multiple application domains. [Read More]
Our research would not have been possible without the generous funding and support of from our sponsors (this list might not be exhaustive):
