Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease. - Animesh Kumar Paul; Pintu Chandra Shill; Md. Rafiqul Islam Rabin; Kazuyuki Murase (Appl. Intell., 2018)

K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2019)

Testing Neural Programs. - Md. Rafiqul Islam Rabin; Ke Wang 022; Mohammad Amin Alipour (CoRR, 2019)

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2020)

COVID-19: Social Media Sentiment Analysis on Reopening. - Mohammed Emtiaz Ahmed; Md. Rafiqul Islam Rabin; Farah Naz Chowdhury (CoRR, 2020)

On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations. - Md. Rafiqul Islam Rabin; Nghi D. Q. Bui; Yijun Yu; Lingxiao Jiang; Mohammad Amin Alipour (CoRR, 2020)

Towards Demystifying Dimensions of Source Code Embeddings. - Md. Rafiqul Islam Rabin; Arjun Mukherjee; Omprakash Gnawali; Mohammad Amin Alipour (CoRR, 2020)

Configuring test generators using bug reports: a case study of GCC compiler and Csmith. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (SAC, 2021)

Understanding neural code intelligence through program simplification. - Md. Rafiqul Islam Rabin; Vincent J. Hellendoorn; Mohammad Amin Alipour (ESEC/SIGSOFT FSE, 2021)

Encoding Program as Image: Evaluating Visual Representation of Source Code. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2021)

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations. - Md. Rafiqul Islam Rabin; Nghi D. Q. Bui; Ke Wang 022; Yijun Yu; Lingxiao Jiang; Mohammad Amin Alipour (Inf. Softw. Technol., 2021)

Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (ICMLA, 2022)

Syntax-guided program reduction for understanding neural code intelligence models. - Md. Rafiqul Islam Rabin; Aftab Hussain 001; Mohammad Amin Alipour (MAPS@PLDI, 2022)

Extracting Label-specific Key Input Features for Neural Code Intelligence Models. - Md. Rafiqul Islam Rabin (CoRR, 2022)

ProgramTransformer: A tool for generating semantically equivalent transformed programs. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (Softw. Impacts, 2022)

FeatureExtractor: A tool for extracting key input features of code intelligence models. - Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (Softw. Impacts, 2022)

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Bowen Xu; David Lo 001; Mohammad Amin Alipour (InteNSE@ICSE, 2023)

Study of Distractors in Neural Models of Code. - Md. Rafiqul Islam Rabin; Aftab Hussain 001; Sahil Suneja; Mohammad Amin Alipour (InteNSE@ICSE, 2023)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Bowen Xu; Prem Devanbu; Mohammad Amin Alipour (CoRR, 2023)

TrojanedCM: A Repository for Poisoned Neural Models of Source Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2023)

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Mohammad Amin Alipour; Bowen Xu (CoRR, 2023)

Memorization and generalization in neural code intelligence models. - Md. Rafiqul Islam Rabin; Aftab Hussain 001; Mohammad Amin Alipour; Vincent J. Hellendoorn (Inf. Softw. Technol., 2023)

Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (AIware, 2024)

Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Navid Ayoobi; Mohammad Amin Alipour (CoRR, 2024)

On Trojan Signatures in Large Language Models of Code. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour (CoRR, 2024)

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Bowen Xu; Premkumar T. Devanbu; Mohammad Amin Alipour (CoRR, 2024)

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing. - Rabimba Karanjai; Aftab Hussain 001; Md. Rafiqul Islam Rabin; Lei Xu 012; Weidong Shi; Mohammad Amin Alipour (CoRR, 2024)

Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code. - Mahdi Kazemi; Aftab Hussain 001; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour; Sen Lin (CoRR, 2024)

Finding Trojan Triggers in Code LLMs: An Occlusion-Based Human-in-the-Loop Approach. - Aftab Hussain 001; Md. Rafiqul Islam Rabin; Toufique Ahmed; Mohammad Amin Alipour; Bowen Xu; Stephen Huang (CAIN, 2025)

Calibration and Correctness of Language Models for Code. - Claudio Spiess; David Gros 001; Kunal Suresh Pai; Michael Pradel; Md. Rafiqul Islam Rabin; Amin Alipour; Susmit Jha; Prem Devanbu; Toufique Ahmed (ICSE, 2025)

Capturing the Effects of Quantization on Trojans in Code LLMs. - Aftab Hussain 001; Sadegh AlMahdi Kazemi Zarkouei; Md. Rafiqul Islam Rabin; Mohammad Amin Alipour; Sen Lin; Bowen Xu (CoRR, 2025)