Education
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National University of Singapore (NUS), Singapore
Aug 2021 - present
PhD student in Computer Science, advised by Prof. Bingsheng He
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Shanghai Jiao Tong University (SJTU), China
Sep 2017 - Jun 2021
Bachelor in Computer Science and Technology (GPA: 4.08/4.3, Rank: 1/149)
Selected in Zhiyuan Honors Program of Engineering (Top 5%)
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The University of Texas at Austin (UT Austin), USAAug 2019 - Dec 2019
Exchange student (GPA: 4.0/4.0)
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Publications
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Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, and Mian Lu. OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. 50th International Conference on Very Large Databases (VLDB), 2024.
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Yiqun Diao, Qinbin Li, and Bingsheng He. Exploiting Label Skews in Federated Learning with Model Concatenation. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
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Yiqun Diao, Qinbin Li, and Bingsheng He. Towards Addressing Label Skews in One-Shot Federated Learning. The Eleventh International Conference on Learning Representations (ICLR), 2023.
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Qinbin Li*, Yiqun Diao*, Quan Chen, and Bingsheng He. Federated learning on non-iid data silos: An experimental study. IEEE International Conference on Data Engineering (ICDE), 2022. (* denotes equal contributions) Google Scholar: 660+ citations; Github NIID-Bench: 500+ stars
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Lixin Yang, Jiasen Li, Wenqiang Xu, Yiqun Diao, and Cewu Lu. Bihand:Recovering hand mesh with multi-stage bisected hourglass networks. British Machine Vision Conference (BMVC), 2020.
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Teaching Experience
Teaching Assistant for
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Big Data System for Data Science NUS, Spring 2022
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Linear Algebra SJTU, Fall 2020
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Computational, Mathematical & Statistical Foundations of Machine Learning SJTU, Summer 2020
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Industry Experience
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Internship at Microsoft Feb 2021 - Jul 2021
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Internship at 4Paradigm Dec 2022 - May 2023
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Service
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Reviewer for CVPR 2024
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External reviewer for ICDE 2024
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Miscellaneous
For sports, I like running, swimming and badminton. I also like literatures and films with realism style.
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