Daiqing Qi

PhD @ University of Virginia
Daiqing Qi

I am broadly interested in multimodal foundation models (MLLMs, VLMs) and LLM agents.

Previously, I received my PhD from UVA, working with Dr. Sheng Li. I also spent time at Adobe Research and Amazon. I co-organized workshops on Generative AI for Photography and Educational Assessment at WACV'26 and NeurIPS'24.

Publications

Full publications on Google Scholar
Improve Temporal Reasoning in MLLMs via Video Contrastive Decoding
Daiqing Qi, D Guo, H Yuan, H Zhao, M Hu, L Yang, S Li
The Photographer's Eye: Teach MLLMs to See and Critique like Photographers
Daiqing Qi, H Zhao, J Shi, S Jenni, Y Fan, F Dernoncourt, S Cohen, S Li
Easy Regional Contrastive Learning of Expressive Fashion Representations
Daiqing Qi, H Zhao, S Li
Generalizing (CLIP) to Unseen Domains via Text-guided Augmentation
Daiqing Qi, H Zhao, A Zhang, S Li
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Daiqing Qi, H Zhao, Z Wei, S Li
Revealing an Overlooked Challenge in Class-Incremental Graph Learning
Daiqing Qi, H Zhao, X Jia, S Li
Better Generative Replay for Continual Federated Learning
Daiqing Qi, H Zhao, S Li

Recipient

ICML Gold Reviewer, 2026 NeurIPS Scholar Award, 2025 ICLR Notable Reviewer, 2025

Work Experience

Organized Workshops

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

Connect

Feel free to reach me at daiqing98@gmail.com

Publications

Full publications on Google Scholar
Improve Temporal Reasoning in MLLMs via Video Contrastive Decoding
Daiqing Qi, D Guo, H Yuan, H Zhao, M Hu, L Yang, S Li
The Photographer's Eye: Teach MLLMs to See and Critique like Photographers
Daiqing Qi, H Zhao, J Shi, S Jenni, Y Fan, F Dernoncourt, S Cohen, S Li
Easy Regional Contrastive Learning of Expressive Fashion Representations
Daiqing Qi, H Zhao, S Li
Generalizing (CLIP) to Unseen Domains via Text-guided Augmentation
Daiqing Qi, H Zhao, A Zhang, S Li
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Daiqing Qi, H Zhao, Z Wei, S Li
Revealing an Overlooked Challenge in Class-Incremental Graph Learning
Daiqing Qi, H Zhao, X Jia, S Li
Better Generative Replay for Continual Federated Learning
Daiqing Qi, H Zhao, S Li
VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
L Yang, J Song, T Wang, Daiqing Qi, W Shi, Y Liu, S Li
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
M Hu, H Wu, Z Guan, R Zhu, D Guo, Daiqing Qi, S Li

Organization of Workshops, Surveys and Tutorials

The First Workshop on Generative AI for Photography
I-Sheng Fang, Daiqing Qi, Yu Yuan, Kuan-Chuan Peng, Jun-Cheng Chen
The First Workshop on Large Foundation Models for Educational Assessment
Sheng Li, Dongliang Guo, Daiqing Qi, Zhongmin Cui, Jiasen Lu, Deborah Harris, Shumin Jing
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
Yunlong Tang, Jing Bi, ..., Daiqing Qi, ..., Chenliang Xu
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye, Luyang Jiang, ..., Daiqing Qi, ..., Aidong Zhang
A Survey of Trustworthy Representation Learning across Domains
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li

Service

Organizer / Program Chair:
WACV 2026 Workshop on Generative AI for Photography
NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment
Reviewer / PC Member:
Neural Information Processing Systems (NeurIPS)
International Conference on Learning Representations (ICLR)
International Conference on Machine Learning (ICML)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
Transactions on Machine Learning Research (TMLR)

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 here. I used to play the Auto Battler game and was among top 100 (ranked #52) best players nationwide.
Links: