A big shout out to Dr. Grey Ballard’s research group! The paper, entitled “Communication Lower Bounds and Algorithms for Sketching with Random Dense Matrices,” is a collaborative work between CS faculty member, postdoctoral researcher, and recent & former CS MS graduate. The work has been […]
Congrats to Eric, Jack and Jackson for receiving partial or full support from the URECA Center through Wake Forest Research Fellowship! Wake Forest Research Fellowships are designed to provide students with the opportunity to participate in intensive scholarship under the mentorship of a WFU faculty […]
Our amazing CSC 331 students applied their AI in software engineering knowledge and vibe coding skills through dynamic team projects! Whether you are a student who finds navigating the Tribble Hall basement a challenge, looking for reliable peers to help you ace your exams, or […]
A big shout out to CS our undergraduate alumni, Bruce Shao & Alex Zhang! Their paper, “DecodeShare: Tracing the Shared Pathways of LLM Decode-Time Decisions”, has been accepted at the 43rd International Conference on Machine Learning (ICML 2026). The paper was selected as a “Spotlight” […]
A big shout out to CS MS student Suraj Prasai! Their paper, “AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery,” has been accepted at the 35th International Joint Conference on Artificial Intelligence ( IJCAI 2026). This impressive work showcases the strength of our collaborative […]
A big shout out to our former UG student, now MS student at Duke University, Alex Zhang, and Postdoctoral Researcher Dr. Bhisham Dev Verma! Their paper, coauthored with Dr. Ballard, titled “Efficient CP Rounding using Alternating Least Squares with QR Decomposition“, was published in SIAM […]
A big shout-out to CS MS student Risal Shahriar Shefin and former CS MS student (now PhD student in the Department of Biomedical Engineering at WFU) Debashis Gupta! Their papers, co-authored with Dr. Sarra Alqahtani, have been accepted for publication: “AEGIS-RL: Abstract, Explainable Graphs for […]
During the week of April 13, we will have six CS MS students ready to share their findings after months of deep dives and hard work. We invite you to celebrate their hard work and academic achievements with us. All are welcome!
Join us Monday, April 13, at 4:00 PM in Manc 024! Dr. Yu-Neng Chuang from Rice University will share his research titled, “Efficient LLM Reasoning at Scale with Adaptive Computation“. Title: Efficient LLM Reasoning at Scale with Adaptive Computation Abstract:The increasing reliance on Large Language Models […]
During the week of April 6, we will have three CS MS students ready to share their findings after months of deep dives and hard work. We invite you to celebrate their hard work and academic achievements with us. All are welcome!