Unveiling clusters of events for alert and incident management in large-scale enterprise it. - Derek Lin; Rashmi Raghu; Vivek Ramamurthy; Jin Yu; Regunathan Radhakrishnan; Joseph Fernandez (KDD, 2014)

A Hybrid Learning from Multi-behavior for Malicious Domain Detection on Enterprise Network. - Liang Shi; Derek Lin; Chunsheng Victor Fang; Yan Zhai (ICDM Workshops, 2015)

Localizing Temporal Anomalies in Large Evolving Graphs. - Teng Wang; Chunsheng Victor Fang; Derek Lin; Shyhtsun Felix Wu (SDM, 2015)

Anomalous User Activity Detection in Enterprise Multi-source Logs. - Qiaona Hu; Baoming Tang; Derek Lin (ICDM Workshops, 2017)

Reducing False Positives of User-to-Entity First-Access Alerts for User Behavior Analytics. - Baoming Tang; Qiaona Hu; Derek Lin (ICDM Workshops, 2017)

Generating Interpretable Network Asset Clusters For Security Analytics. - Anying Li; Derek Lin (IEEE BigData, 2018)

Detecting unmanaged and unauthorized devices on the network with long short-term memory network. - Derek Lin; Baoming Tang (IEEE BigData, 2018)

BEAM: An Anomaly-Based Threat Detection System for Enterprise Multi-Domain Data. - Derek Lin; Anying Li; Ryan Foltz (IEEE BigData, 2020)

A Voting Phase Detector Design with Mitigated Process Variation. - Derek Lin; Jun-Yu Yang; Shi-Yu Huang (ISOCC, 2020)

MATE: Summarizing Alerts to Interpretable Outcomes with MITRE ATT&CK. - Derek Lin (IEEE Big Data, 2022)

Antimagic labeling for unions of graphs with many three-paths. - Angel Chavez; Parker Le; Derek Lin; Daphne Der-Fen Liu; Mason Shurman (Discret. Math., 2023)