Hammad Ayyubi
Scholar

Hammad Ayyubi

Google Scholar ID: Ywb1RL4AAAAJ
Graduate Student, Columbia University
Aritficial IntelligenceMachine LearningComputer VisionNatural Language Processing
Citations & Impact
All-time
Citations
155
 
H-index
5
 
i10-index
3
 
Publications
19
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications:
  • - One paper on Event Graph based Interpretable VideoQA accepted to NeurIPS MAR Workshop, 2024.
  • - Our paper on Multimodal Reasoning on Generated Images was accepted at NeurIPS’24.
  • - Our paper on Entity-Aware Video Captioning was accepted at EMNLP’24.
  • - One paper on Procedure Planning accepted at ECCV’24.
  • - One paper on insufficient context in Multimodal Reasoning accepted at ACM MM’24.
  • - One paper accepted to AAAI 2024!
  • - One paper accepted to EMNLP Findings 2023!
Research Experience
  • Interned at Microsoft, Google, and Adobe, working with Jianwei Yang, Oriana Riva, Tianqi Liu, Arsha Nagrani, Mingda Zhang, Anurag Arnab, and Vlad Morariu.
Education
  • PhD student at the Dept. of Computer Science, Columbia University, advised by Prof. Shih-Fu Chang; Master’s from UC San Diego, advised by Prof. Gary Cottrell, and also worked with Prof. Manmohan Chandraker and Prof. David Kriegman; Bachelor’s from Indian Institute of Technology, BHU (IIT, BHU).
Background
  • Research interests include Computer Vision, Natural Language Processing, and Commonsense Reasoning. Particularly interested in building systems that can reason about our world in an interpretable, robust, and trustworthy manner. This involves extensive work with LLMs, agents, tools, and instruction-tuning.
Miscellany
  • On industry job market. If you are interested, feel free to reach out.
Co-authors
0 total
Co-authors: 0 (list not available)