Daiqing Qi

I am currently a PhD student at the University of Virginia, working with Dr. Sheng Li. Prior to that, I received my bachelor's degree in Electronic Engineering from Southeast University.

I also spend time at Amazon Search Science & AI (Palo Alto, CA) and Adobe Research (San Jose, CA) as a Research Scientist Intern.

Email: daiqing.qi at virginia.edu

Google Scholar   /   LinkedIn   /   Github   /   Instagram

profile photo
Research

I am interested in computer vision, image generation, multimodal learning (vision-language models), and machine learning (continual learning, federated learning).

Education

Ph.D., 2021 - now, University of Virginia

B.Eng., 2016 - 2020, Southeast University

Experience

Adobe Research, Computer Vision, Imaging & Video
Research Scientist Intern
San Jose, CA
2024
Amazon, Search Science & AI (A9)
Applied Scientist Intern
Palo Alto, CA
May 2023 - August 2023

Publication
Better Generative Replay for Continual Federated Learning
Daiqing Qi, Handong Zhao, Sheng Li
International Conference on Learning Representations (ICLR) 2023
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Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
European Conference on Computer Vision(ECCV) 2024 (Under Review)
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Daiqing Qi, Handong Zhao, Sheng Li
European Conference on Computer Vision(ECCV) 2024 (Under Review)
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Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li
European Conference on Computer Vision(ECCV) 2024 (Under Review)
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Daiqing Qi, Handong Zhao, Xiaowei Jia, Yun (Raymond) Fu, Sheng Li
Transactions on Machine Learning Research (TMLR) (Under Review)
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)

Knowledge-guided Article Embedding Refinement for Session-based News Recommendation
Hengshiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
code / paper

Less is more: Data-efficient Complex Question Answering over Knowledge Bases
Yuncheng Hua, Yuanfang Li, Guilin Qi, Wei Wu, Jingyao Zhang, Daiqing Qi
Journal of Web Semantics (JWS)
code / arXiv

Services

Program Committee Member / Reviewer: ICML 2024, ICLR 2024, NeurIPS 2023, IEEE CIM, IEEE Big Data, IEEE TCSVT, AAAI-23 AI for Web Advertising Workshop

Teaching

CS 5012: Foundations of Computer Science (Fall 2022)

DS 4002: Data Science Project Course (Spring 2023)

About Me

I post some of my photographs on my Instagram. I also play the Auto Battler game and was among top 100 (ranked #52) best players nationwide.