Published on May 4, 2026
Our paper, "LS2MC-GDA: A Smoothed Algorithm for Federated Stochastic Compositional Minimax Optimization" has been accepted to the Forty-Third International Conference on Machine Learning (ICML 2026) in Seoul, South Korea. Congrats, Xinwen!
Xinwen Zhang, Richard Souvenir, Hongchang Gao. "LS2MC-GDA: A Smoothed Algorithm for Federated Stochastic Compositional Minimax Optimization". ICML 2026.
Published on Jan 9, 2025
Our paper, "Evaluating the Impact of AI-Generated Visual Explanations on Decision-Making for Image Matching" has been accepted to the ACM Conference on Intelligent User Interfaces (IUI 2025) in Cagliari, Italy. Marcus, a student at Swarthmore, was an REU student in the lab last summer, and this is his first publication! Congrats, Batool and Marcus!
Albatool Wazzan, Marcus Wright, Stephen MacNeil, Richard Souvenir. "Evaluating the Impact of AI-Generated Visual Explanations on Decision-Making for Image Matching". IUI 2025.
Published on Aug 1, 2024
Our lab hosted Daniel (UMBC), Marcus (Swarthmore), and Peter (U. Florida) as part of the Temple REU Site in Pervasive Computing for Smart Health, Safety, and Well-being. Congrats to Peter and Marcus for finishing 2nd and 3rd, respectively, in the REU Symposium. Thanks to Amir, Batool, and Sam for helping to introduce these students to computing research.
Published on Jun 24, 2024
I will be a Program Chair for ICCV 2025 in Honolulu, Hawaii.
Published on May 3, 2024
Our paper, "A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization" has been accepted to the Forty-first International Conference on Machine Learning (ICML 2024) in Vienna. Congrats, Xinwen!
Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao, "A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization". ICML 2024.