Haz Sameen Shahgir
Scholar

Haz Sameen Shahgir

Google Scholar ID: tfxCpGMAAAAJ
University of California Riverside
Natural Language Processing
Citations & Impact
All-time
Citations
86
 
H-index
6
 
i10-index
4
 
Publications
13
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Our paper 'Conditional RNA Generation (RNA-DCGen)' was accepted in NeurIPS 2024 Workshop on Machine Learning in Structural Biology (MLSB).
  • Our paper on a new state-of-the-art RNA Language Model 'BiRNA-BERT' was accepted in two NeurIPS 2024 Workshops: ENLSP (oral/spotlight paper!) and FM4Science.
  • Our paper 'IllusionVQA' was accepted in the Conference On Language Modeling (COLM) 2024.
  • Our analysis paper 'Too Late to Train, Too Early To Use? - A Study on Bengali LLMs' is out now on arxiv.
  • Our paper 'Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks' was accepted in Findings of ACL 2024.
  • Our team won the IEEE VIPCUP at ICIP 2023 Malaysia. The task was Ophthalmic Biomarker Detection from Retinal Scans.
Research Experience
  • Tutorial presenter at ACL 2024 on the vulnerabilities of large language models to adversarial attacks.
Education
  • PhD in Computer Science from the University of California Riverside, advised by Professor Yue Dong
Background
  • CS PhD Student at the University of California Riverside, with a primary interest in multimodal neural networks, focusing on their response to adversarial attacks and out-of-distribution data.
Miscellany
  • Location: Riverside, CA; Social Media: Twitter, Github, Google Scholar