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I am a first-year Ph.D. student in Computer Science at Shanghai Jiao Tong University. Now, I am a member of Lab for Interpretability and Theory-Driven Deep Learning, Department of Computer Science & Engineering and advised by Prof. Quanshi Zhang. My current research focuses on theoretical foundations of Deep Learning and Explainable AI. Email: tling@sjtu.edu.cn / tling2000@outlook.com |
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[December. 2023] Our work Batch Normalization Is Blind to the First and Second Derivatives of the Loss is accepted by AAAI 2024(Oral)! [April. 2023] Our work Defects of Convolutional Decoder Networks in Frequency Representation is accepted by ICML 2023! |
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Ling Tang*, Wen Shen*, Zhanpeng Zhou, Quanshi Zhang ICML, 2023 arXiv / GitHub / 知乎 In this paper, we prove the representation problems with a cascaded convolutional decoder network, considering the capacity of representing different frequency components of an input sample. |
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Zhanpeng Zhou*, Wen Shen*, Huixin Chen*, Ling Tang, Quanshi Zhang AAAI, 2024 (Oral) arXiv / GitHub / 知乎 In this paper, we prove the effects of the BN operation on the back-propagation of the first and second derivatives of the loss. |
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[2023.09 - Now ] Ph.D. student in Computer Science and Technology , Shanghai Jiao Tong University. [2019.09 - 2023.06 ] Bachelor in Automation(IEEE Honor Class), Physics(minored) , Shanghai Jiao Tong University. |
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[2022 Nov. ] SCK Scholarship, Shanghai Jiao Tong University [2022 Sept. ] Excellent Student Cadre, Shanghai Jiao Tong University [2022 May. ] Excellent League Cadre, Shanghai Jiao Tong University [2022 May. ] M prize in MCM&ICM, COMAP, Inc. [2021 Nov. ] Suzhou Yucai Scholarship, Shanghai Jiao Tong University [2018 Nov. ] First prize in Chinese Physics Olympiad, Chinese Physical Society |
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[2023 Spr. ] Machine Learning (CS3612), Teaching Assistant, Shanghai Jiao Tong University. |
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[Reviewer] AAAI2024, ICML 2023 |
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