Mining and Forecasting Career Trajectories of Music Artists. - Shushan Arakelyan; Fred Morstatter; Margaret Martin; Emilio Ferrara; Aram Galstyan (HT, 2018)

Transparent, Scrutable and Explainable User Models for Personalized Recommendation. - Krisztian Balog; Filip Radlinski; Shushan Arakelyan (SIGIR, 2019)

Towards Learning Representations of Binary Executable Files for Security Tasks. - Shushan Arakelyan; Christophe Hauser; Erik Kline; Aram Galstyan (CoRR, 2020)

Bin2vec: learning representations of binary executable programs for security tasks. - Shushan Arakelyan; Sima Arasteh; Christophe Hauser; Erik Kline; Aram Galstyan (Cybersecur., 2021)

NS3: Neuro-symbolic Semantic Code Search. - Shushan Arakelyan; Anna Hakhverdyan; Miltiadis Allamanis; Luis Garcia 001; Christophe Hauser; Xiang Ren (NeurIPS, 2022)

Exploring Distributional Shifts in Large Language Models for Code Analysis. - Shushan Arakelyan; Rocktim Jyoti Das; Yi Mao; Xiang Ren (EMNLP, 2023)

Leader: Defense Against Exploit-Based Denial-of-Service Attacks on Web Applications. - Rajat Tandon; Haoda Wang; Nicolaas Weideman; Shushan Arakelyan; Genevieve Bartlett; Christophe Hauser; Jelena Mirkovic (RAID, 2023)