Moshiur Farazi
Orcid: 0000-0003-1494-5921
According to our database1,
Moshiur Farazi authored at least 16 papers
between 2021 and 2025.
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Bibliography
2025
Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining.
CoRR, August, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
CAPSTONE: Composable Attribute-Prompted Scene Translation for Zero-Shot Vision-Language Reasoning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification.
Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025
Z -Prunear: Post-Training Pruning of Large Language Models for Efficiency without Retraining.
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025
Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis.
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025
2023
A Generative Approach to Audio-Visual Generalized Zero-Shot Learning: Combining Contrastive and Discriminative Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022
2021
CoRR, 2021
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM.
Proceedings of the International Joint Conference on Neural Networks, 2021