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 and vision-language models. I co-organized workshops on Generative AI for photography and education at WACV 2026 and NeurIPS 2025.

I also spend time at Amazon Search Science & AI and Adobe Research as a Research Scientist Intern.

News

Oct. 2025 We are organizing the first workshop on Generative AI for Photography at Winter Conference on Applications of Computer Vision (WACV 2026)
Sept. 2025 One paper is accepted by Advances in Neural Information Processing Systems (NeurIPS 2025)
Sept. 2025 One paper is accepted by Empirical Methods in Natural Language Processing (EMNLP 2025)
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
Feb. 2025 One paper is accepted by Advances in Neural Information Processing Systems (NeurIPS 2024)
Feb. 2025 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)
Jul. 2024 One paper is accepted by European Conference on Computer Vision (ECCV 2024)
Jun. 2024 One paper on retrieval-augmented Multimodal Large Language Models is available on arXiv
May. 2024 One paper is accepted by Transactions on Machine Learning Research (TMLR)
May. 2024 I will join Adobe Research (Vision and Language Lab) as a Research Scientist Intern
Mar. 2024 One paper is accepted by ACM Transactions on Knowledge Discovery from Data (TKDD)
Mar. 2023 I will join Amazon Search this summer as an Applied Scientist Intern
Feb. 2023 One paper is accepted by International Conference on Learning Representations (ICLR 2023)

More...

Experience

Adobe Research

San Jose, CA

Research Scientist Intern May. 2025 - Present

Adobe Research

San Jose, CA

Research Scientist Intern May. 2024 - Nov. 2024

Amazon

Palo Alto, CA

Applied Scientist Intern May. 2023 - Aug. 2023

Selected Publications

Full publications on Google Scholar.

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
At Neural Information Processing Systems (NeurIPS) 2024
In Proceedings of Machine Learning Research (PMLR), Volume 264, 2024
Website / Preface

The First Workshop on Generative AI for Photography
I-Sheng Fang, Daiqing Qi, Yu Yuan, Kuan-Chuan Peng, Jun-Cheng Chen
At Winter Conference on Applications of Computer Vision (WACV) 2026
Website

Surveys and Tutorials

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

Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
Yunlong Tang, Jing Bi, ..., Daiqing Qi, ..., Chenliang Xu
Preparing for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025

The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye, Luyang Jiang, ..., Daiqing Qi, ..., Aidong Zhang
Submitted to Transactions on Machine Learning Research (TMLR) 2025

Working Preprints

Learning to Understand Multi-image Aesthetics
Daiqing Qi, Simon Jenni, Handong Zhao, Jing Shi, Kushal Kafle, Sheng Li
Preparing for Computer Vision and Pattern Recognition
(CVPR) 2026

Conference Proceedings / Journal Articles

Distort Time to Improve Video Temporal Reasoning
Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li
Advances in Neural Information Processing Systems
(NeurIPS) 2025
Paper / Code

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

Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
Main of Empirical Methods in Natural Language Processing
(EMNLP) 2024
Paper

Better Generative Replay for Continual Federated Learning
Daiqing Qi, Handong Zhao, Sheng Li
International Conference on Learning Representations
(ICLR) 2023
Paper / Code

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

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li
Findings of Empirical Methods in Natural Language Processing
(EMNLP) 2025
Paper

VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
Lehan Yang, Jincen Song, Tianlong Wang, Daiqing Qi, Weili Shi, Yuheng Liu, Sheng Li
Preparing for International Conference on Learning Representations
(ICLR) 2026
Paper

Words to Graphics: Leveraging LLMs for Scientific Scalable Vector Graphics Generation
Dongliang Guo, Daiqing Qi, Wenxiao Xiong, Mengxuan Hu, Zhechao Huang, Sheng Li
Preprint 2025

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
WACV 2026 Workshop on Generative AI for Photography
NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment

Recipient
Notable Reviewer, ICLR 2025

Teaching

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

Misc

I am interested in photography. Some of them are available at instagram and website. I used to play the Auto Battler game and was among top 100 (ranked #52) best players nationwide.

The Americans - Jack Kerouac
Manifesto of Surrealism - Andre Breton
More is Different - P.W. Anderson