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
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LinkedIn
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Github
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Instagram
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Research
I am interested in computer vision, image generation, multimodal learning (vision-language models), and machine learning (continual learning, federated learning).
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Education
Ph.D., 2021 - now, University of Virginia
B.Eng., 2016 - 2020, Southeast University
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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
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Publication
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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)
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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)
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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
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paper
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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)
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arXiv
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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
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Teaching
CS 5012: Foundations of Computer Science (Fall 2022)
DS 4002: Data Science Project Course (Spring 2023)
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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.
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