Daiqing Qi
About
I am currently a PhD student at the University of Virginia, advised by Dr. Sheng Li. Prior to that, I received my bachelor's degree in Electronic Engineering from Southeast University. I am interested in multimodal large language models, vision-language models and representation learning of non-stationary data.
I also spend time at Amazon Search Science & AI and Adobe Research as a Research Scientist Intern.
I am interested in photography. Some of my works are available at my instagram and personal website. I used to play the Auto Battler game and was among top 100 (ranked #52) best players nationwide.
News
- Feb. 2025 One paper is accepted by The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
- Feb. 2025 I will join Adobe Research (Vision and Language Lab) as a Research Scientist Intern
- Sept. 2024 One paper is accepted by Advances in Neural Information Processing Systems (NeurIPS 2024)
- Sept. 2024 One paper is accepted by Main Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
- Jul. 2024 We are organizing the first workshop on Large Foundation Models for Educational Assessment (FM-EduAssess) at Conference on Neural Information Processing Systems (NeurIPS 2024)
Experience
Selected Publications
Full publications on Google Scholar.
Preprints
Distort Time to Improve Video Temporal Reasoning
Submitted to Advances in Neural Information Processing Systems
(NeurIPS) 2025
Conference Proceedings / Journal Articles
The Photographer's Eye: Teaching Multimodal Large Language Models to See and Critique like Photographers
Computer Vision and Pattern Recognition
(CVPR) 2025
Paper
Generalizing (CLIP) to Unseen Domains with Text-guided Augmentation
European Conference on Computer Vision
(ECCV) 2024
Paper
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Main of Empirical Methods in Natural Language Processing
(EMNLP) 2024
Paper
Revealing an Overlooked Challenge in Class-Incremental Graph Learning
Transactions on Machine Learning Research
(TMLR) 2024
Paper
Organization of Workshops
The First Workshop on Large Foundation Models for Educational Assessment
Accepted by Neural Information Processing Systems (NeurIPS) 2024
In Proceedings of Machine Learning Research (PMLR), Volume 264, 2024
Preface / Website
Surveys and Tutorials
A Survey of Trustworthy Representation Learning across Domains
ACM Transactions on Knowledge Discovery from Data (TKDD) 2024
Paper
Service
Reviewer / Program Committee Member
Neural Information Processing Systems (NeurIPS)
International Conference on Learning Representations (ICLR)
International Conference on Machine Learning (ICML)
Computer Vision and Pattern Recognition (CVPR)
Transactions on Machine Learning Research (TMLR)
Organizer / Program Chair
NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment
Recipient
Notable Reviewer of ICLR 2025
Teaching
DS 4002: Data Science Project Course (Spring 2023)
CS 5012: Foundations of Computer Science (Fall 2022)
