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Several Illinois CS research projects result in best paper awards


Aaron Seidlitz, computer sciences

As Illinois CS research continues to sustain high levels of success, one indicator is that the papers produced here earn best paper awards at some of the most prominent computing conferences.

From the faculty guiding these projects to the students learning what it takes to develop well-regarded research, these honors are representative of the effort and dedication given to research at Illinois CS.

The following projects are the ones with ITI affiliations. Read the full story.

Best Paper, IEEE International Conference on Data Mining 2020

Jiawei Han
Jiawei Han

Out of 930 submissions accepted at this conference in 2020, this paper from Illinois CS professor Jiawei Han’s research group earned Best Paper recognition.

First author Carl Yang received his PhD from Illinois CS in Nov. 2020 and now is an assistant professor at Emory University. The second author, Jiayu Zhang, received his MS from Illinois CS in May 2020 and is now a PhD student at University of Washington.

Together with Han, this group authored the paper titled “Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks.” In the paper’s abstract, the group describes their results as proven to improve “network embedding on traditional tasks of node classification and link prediction, as well as novel tasks like conditional proximity search and fine-grained taxonomy layout.”

Best Paper Award, IEEE International Symposium on Multimedia 2020

Professor Klara Nahrstedt, CSL director, worked with a team of Illinois CS students, including Mingyuan Wu, Bo Check, and Eric Lee, to produce a paper titled: “SEAWARE: Semantic-Aware View Prediction System for 360-degree Video Streaming.” The work was done jointly with University of Massachusetts Amherst faculty, and earned Best Paper at the IEEE International Symposium on Multimedia 2020. Its focus is on navigation of streaming video content for viewers who are watching 360 video with HMD (Head-Mounted Displays) using view and object predictions.