Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer. - Tingting Xuan; Giorgian Borca-Tasciuc; Yimin Zhu; Yu Sun; Cameron Dean; Zhaozhong Shi; Dantong Yu (ECML/PKDD (3), 2022)

Knowledge Authoring with Factual English. - Yuheng Wang; Giorgian Borca-Tasciuc; Nikhil Goel; Paul Fodor; Michael Kifer (ICLP Technical Communications / Doctoral Consortium, 2022)

End-to-End Pipeline for Trigger Detection on Hit and Track Graphs. - Tingting Xuan; Yimin Zhu; Giorgian Borca-Tasciuc; Ming Xiong Liu; Yu Sun; Cameron Dean; Yasser Corrales Morales; Zhaozhong Shi; Dantong Yu (AAAI, 2023)

Provable Fairness for Neural Network Models Using Formal Verification. - Giorgian Borca-Tasciuc; Xingzhi Guo; Stanley Bak; Steven Skiena (EWAF, 2023)

TrackGNN: A Highly Parallelized and Self-Adaptive GNN Accelerator for Track Reconstruction on FPGAs. - Shuyang Li; Hanqing Zhang; Ruiqi Chen 001; Bruno da Silva 001; Giorgian Borca-Tasciuc; Dantong Yu; Cong Hao (FCCM, 2025)

Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors. - Jakub Kvapil; Giorgian Borca-Tasciuc; H. Bossi; K. Chen; Y. Chen; Yasser Corrales Morales; H. Da Costa; C. Da Silva; C. Dean; J. Durham; S. Fu; Cong Hao; et al. (CoRR, 2025)