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Islam Nassar
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2020 – today
- 2025
[i5]Islam Nassar, Xiang-Yang Li, Yuan Jin, Rongxin Zhu, Chang Wei Tan, Zenan Zhai, Nitika Mathur, Thanh Tien Vu, Xu Zhong, Long Duong, Yuan-Fang Li:
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models. CoRR abs/2510.25007 (2025)- 2023
[c4]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari:
Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning. CVPR 2023: 11641-11650
[c3]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari:
LAVA:Label-efficient Visual Learning and Adaptation. WACV 2023: 147-156
[i4]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Gholamreza Haffari:
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning. CoRR abs/2303.13556 (2023)- 2022
[j1]Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi:
Generate, Annotate, and Learn: NLP with Synthetic Text. Trans. Assoc. Comput. Linguistics 10: 826-842 (2022)
[i3]Islam Nassar, Munawar Hayat, Ehsan Abbasnejad, Hamid Rezatofighi, Mehrtash Harandi, Gholamreza Haffari:
LAVA: Label-efficient Visual Learning and Adaptation. CoRR abs/2210.10317 (2022)- 2021
[c2]Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine
, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR 2021: 7241-7250
[i2]Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR abs/2104.05248 (2021)
[i1]Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi:
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation. CoRR abs/2106.06168 (2021)
2010 – 2019
- 2019
[c1]Islam Nassar, Michelle Ananda-Rajah, Gholamreza Haffari:
Neural Versus Non-Neural Text Simplification: A Case Study. ALTA 2019: 172-177
Coauthor Index

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