Rate My Professor Hongfeng Yu

In 2017, Yu received the National Science Foundation Faculty Early Career Development Program CAREER award, a five-year grant of $476,952, to advance network visualization capabilities for exploring large-scale graphs in applications such as gene regulation networks and social networks. His publications appear in premier venues and have significant impact, including "Application of machine learning in groundwater quality modeling-A comprehensive review" (Water Research, 2023, cited by 313), "Combining in-situ and in-transit processing to enable extreme-scale scientific analysis" (SC'12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2012, cited by 295), "In situ visualization for large-scale combustion simulations" (IEEE Computer Graphics and Applications, 2010, cited by 270), "Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization Using Reconstruction Neural Networks" (IEEE Transactions on Visualization and Computer Graphics, 2026), and "MEPDB: Database of microExons in plants" (New Phytologist, 2025). Yu holds extensive leadership roles in the field, such as Area Full Papers Co-Chair for IEEE VIS 2026, Steering Committee Chair for IEEE LDAV 2024, and program committee service for IEEE VIS, PacificVis, EuroVis, and others. Institutionally, he chairs the School of Computing Faculty Search Committee and serves on UNL committees including the Comprehensive Research Data Strategy Task Force.