Daiqing Qi

Daiqing Qi 祁岱青


PhD Student @ University of Virginia

School of Data Science
Charlottesville, VA 22903




Email: daiqing.qi [at] virginia.edu

Google Scholar / LinkedIn

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 engaged in our startup.

Experience

Adobe Logo
Adobe Research, Vision and Language Lab
2024
Amazon Logo
Amazon, Search Science and AI
2023

News

Selected Publications

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

Teaching

DS 4002: Data Science Project Course (Spring 2023)
CS 5012: Foundations of Computer Science (Fall 2022)

Service

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

Misc

The Americans - INTRODUCTION BY JACK KEROUACN
Andre Breton - Manifesto of Surrealism
Water Can See - Richard Schwartz Review, "In the end, this is a book about loneliness."
The blue-eyed islanders puzzle (a solution from Terence Tao is posted here)
More is Different - P.W. Anderson
TALKING ICO (イコ): AN ANNOTATION

My personal website if you are interested.