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, image generation and representation learning of non-stationary data.
I also spend time at Amazon Search Science & AI and Adobe Research as a Research Scientist Intern. Additionally, I am a core contributor to our startup AiTEM.
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).
Experience
Selected Publications
Full publications on Google Scholar.
‡ indicates equal contribution.
Preprints
Words to Graphics: Leveraging MLLMs for Scalable Vector Graphics Generation
Dongliang Guo‡,
Daiqing Qi‡,
Wenxiao Xiong,
Mengxuan Hu,
Zhechao Huang,
Sheng Li
Submitted to International Conference on Machine Learning (ICML) 2025
Improving Temporal Understanding in Video Large Language Models by Distorting It First
Daiqing Qi‡,
Dongliang Guo‡,
Hanzhang Yuan‡,
Handong Zhao,
Mengxuan Hu,
Lehan Yang,
Sheng Li
Submitting to Advances in Neural Information Processing Systems (NeurIPS) 2025
Organization of Workshops
The First Workshop on Large Foundation Models for Educational Assessment
Sheng Li, Dongliang Guo, Daiqing Qi, Zhongmin Cui, Jiasen Lu, Deborah Harris, Shumin Jing
Accepted by Neural Information Processing Systems (NeurIPS) 2024
In Proceedings of Machine Learning Research (PMLR), Volume 264, 2024
Preface / Website
Conference Proceedings
The Photographer's Eye: Teaching Multimodal Large Language Models to See and Critique like Photographers
Daiqing Qi, Handong Zhao, Jing Shi, Simon Jenni, Yifei Fan, Franck Dernoncourt, Scott Cohen, Sheng Li
Computer Vision and Pattern Recognition (CVPR) 2025
Paper / Code
Easy Contrastive Learning of Expressive Fashion Representations
Daiqing Qi, Handong Zhao, Sheng Li
Advances in Neural Information Processing Systems (NeurIPS) 2024
Paper / Code
Generalizing (CLIP) to Unseen Domains with Text-guided Augmentation
Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li
European Conference on Computer Vision (ECCV) 2024
Paper / Code
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
Empirical Methods in Natural Language Processing (EMNLP) 2024
Paper / Code
Better Generative Replay for Continual Federated Learning
Daiqing Qi, Handong Zhao, Sheng Li
International Conference on Learning Representations (ICLR) 2023
Paper / Code
Journal Articles
Revealing an Overlooked Challenge in Class-Incremental Graph Learning
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
Transactions on Machine Learning Research (TMLR) 2024
Paper
A Survey of Trustworthy Representation Learning across Domains
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
ACM Transactions on Knowledge Discovery from Data (TKDD) 2024
Paper
Service
Reviewer / Program Committee Member
Neural Information Processing Systems (NeurIPS): 2025, 2024, 2023
International Conference on Learning Representations (ICLR): 2025, 2024
International Conference on Machine Learning (ICML): 2025, 2024
International Conference on Computer Vision (ICCV): 2025
Computer Vision and Pattern Recognition (CVPR): 2025
Transactions on Machine Learning Research (TMLR)
Organizer / Program Chair
NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment
Teaching
DS 4002: Data Science Project Course (Spring 2023)
CS 5012: Foundations of Computer Science (Fall 2022)