Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs. - Elisabeth Baseman; Sean Blanchard; Zongze Li 001; Song Fu (ICMLA, 2016)

Converting Unstructured System Logs into Structured Event List for Anomaly Detection. - Zongze Li 001; Matthew Davidson; Song Fu; Sean Blanchard; Michael Lang 003 (ARES, 2018)

Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems. - Zongze Li 001; Matthew Davidson; Song Fu; Sean Blanchard; Michael Lang 003 (HPCC/SmartCity/DSS, 2018)

Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL. - Zongze Li 001; Song Fu (IEEE BigData, 2019)

Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies. - Zongze Li 001; Song Fu; Sean Blanchard; Michael Lang 003 (HPCC/SmartCity/DSS, 2019)

ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World Agents. - Zhangyi Wang; Jiexiang Xu; Bingnan Yu; Zongze Li 001 (ACL (1), 2026)