Single-GPU GNN Systems: Traps and Pitfalls. - Yidong Gong; Arnab Kanti Tarafder; Saima Afrin; Pradeep Kumar (CoRR, 2024)

Resource-Efficient & Effective Code Summarization. - Saima Afrin; Joseph Call; Khai-Nguyen Nguyen; Oscar Chaparro; Antonio Mastropaolo (Forge@ICSE, 2025)

Identifying and Analyzing Pitfalls in GNN Systems. - Yidong Gong; Arnab Kanti Tarafder; Saima Afrin; Pradeep Kumar (USENIX ATC, 2025)

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2025)

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2025)

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (Zenodo, 2025)

Quantizing Large Language Models for Code Generation: A Differentiated Replication. - Alessandro Giagnorio; Antonio Mastropaolo; Saima Afrin; Massimiliano Di Penta; Gabriele Bavota (CoRR, 2025)

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models. - Md Zahidul Haque; Saima Afrin; Antonio Mastropaolo (CoRR, 2025)

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models. - Saima Afrin; Bowen Xu; Antonio Mastropaolo (CoRR, 2025)