PhD Student @ University of Virginia
School of Data Science
Charlottesville, VA 22903
Email: daiqing.qi [at] virginia.edu
Google Scholar / LinkedInI 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 engaged in our startup.
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Full publications on Google Scholar.
‡ indicates equal contribution.
E2: Easy Contrastive Learning of Expressive Fashion Representations
Daiqing Qi, Handong Zhao, Sheng Li
Advances in Neural Information Processing Systems (NeurIPS) 2024
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
Main Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
Generalizing to Unseen Domains with Text-guided Augmentation
Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li
European Conference on Computer Vision (ECCV) 2024
Revealing an Overlooked Challenge in Class-Incremental Graph Learning
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
Transactions on Machine Learning Research (TMLR) 2024
Better Generative Replay for Continual Federated Learning
Daiqing Qi, Handong Zhao, Sheng Li
International Conference on Learning Representations (ICLR) 2023
DS 4002: Data Science Project Course (Spring 2023)
CS 5012: Foundations of Computer Science (Fall 2022)
Program Committee Member / Reviewer: ICLR 2025, NeurIPS 2024, ICML 2024, ICLR 2024, NeurIPS 2023, TMLR, IEEE CIM, IEEE Big Data, IEEE TCSVT, AAAI-23 AI for Web Advertising
Program Chair / Organizer: NeurIPS 2024 Large Foundation Models for Educational Assessment Workshop