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I am currently a 3rd-year master student (expected graduation time: March 2024) in Computer Science Department at Shanghai Jiao Tong University (SJTU), advised by Prof. Quanshi Zhang. Prior to that, I receieved the Bachelor degree in CS (IEEE honor class) from SJTU. My current research interest lies in Explainable AI. This topic mainly focuses on designing tools to open the black-box of deep neural networks. I believe XAI could boost AI research. I am also interested in various exciting AI applications. 🔥 I am actively seeking for full-time machine learning engineer opportunities starting in 2024. Please feel free to contact me if interested. Email | Google Scholar | Twitter | Github |
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| 😶 [2023-06] Refactor this page. |
| 😇 [2021-09] I started my master. |
| 😃 [2021-06] I graduated. |
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| ◾ Still under construction, stay tuned ... |
Machine learning engineer for recommender system (intern), Bytedance (Douyin), Shanghai, China
2023.3 - 2023.7
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| (* means equal contribution) |
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Mingjie Li, Quanshi Zhang ICML, 2023 |
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Jie Ren*, Mingjie Li*, Qirui Chen, Huiqi Deng, Quanshi Zhang CVPR, 2023 |
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Jie Ren*, Mingjie Li*, Meng Zhou, Shih-Han Chan, Quanshi Zhang ICML, 2022 |
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Mingjie Li, Shaobo Wang, Quanshi Zhang NeurIPS, 2021 |
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Jie Ren*, Mingjie Li*, Zexu Liu, Quanshi Zhang ICML, 2021 |
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Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang ICLR, 2021 |
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Wen Shen, Lei Cheng, Yuxiao Yang, Mingjie Li, Quanshi Zhang Preprint, 2023 |
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Mingjie Li, Quanshi Zhang Technical Note |
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| ◾ National Scholarship for graduate students, Ministry of Education of China, 2022, 2023 |
| ◾ Shanghai outstanding graduates, Shanghai Municipal Education Commission, 2021 |
| ◾ National Scholarship for undergraduate students, Ministry of Education of China, 2019, 2020 |
| ◾ The Tang Lixin Scholarship, 2018 |
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| ◾ Conference Reviewer: ICML 2022, CVPR 2023, ICCV 2023, NeurIPS 2023, ICLR 2024 |
| ◾ Journal Reviewer: IJCV |
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Last updated: May 2023.
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