Zhanpeng Zhou (周展鹏)

Ph.D. candidate in Computer Science at Shanghai Jiao Tong University. My research interests focus on uncovering nontrivial phenomena that shed light on the underlying mechanisms of Deep Learning.

I am a member of ThinkLab, Department of Computer Science & Engineering and advised by Prof. Junchi Yan. Prior than that, I obtained my Bachelor's Degree in Electrical and Computer Engineering at UM-SJTU JI, SJTU.

Email: zzp1012 [at] sjtu.edu.cn  /  1012zzphh [at] gmail.com

CV  /  Google Scholar  /  Github  / 

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Publications
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm   [arXiv]
Zhanpeng Zhou*, Zijun Chen*, Yilan Chen, Bo Zhang, Junchi Yan
ICML 2024
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory   [arXiv]
Yiting Chen, Zhanpeng Zhou, Junchi Yan
ICLR 2024
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity   [arXiv]   [GitHub]   [Post]   [Slides]   [Video (Chinese)]
Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
NeurIPS 2023
Defects of Convolutional Decoder Networks in Frequency Representation   [arXiv]
Ling Tang*, Wen Shen*, Zhanpeng Zhou, Quanshi Zhang
ICML 2023
Batch Normalization Is Blind to the First and Second Derivatives of the Loss   [arXiv]   [GitHub]
Zhanpeng Zhou*, Wen Shen*, Huixin Chen*, Ling Tang, Quanshi Zhang
AAAI 2024 (Oral)
Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?   [arXiv]   [GitHub]
Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang
ICLR 2023
A Unified Game-Theoretic Interpretation of Adversarial Robustness   [arXiv]   [Github]
Jie Ren*, Die Zhang*, Yisen Wang*, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
NeurIPS 2021
Experience

[2023 Sep. - 2024 Mar.] Internship in National Institute of Informatics, Tokyo, Japan, advised by Prof. Mahito Sugiyama.

[2021 Mar. - 2021 Jun.] Internship in Mila Quebec, Montreal, Canada, advised by Prof. Jian Tang.

Awards

[2024 Mar. ] Excellent Internship Evaluation, National Institute of Informatics

[2022 May. ] Outstanding Graduate Student, Shanghai Jiao Tong University

[2021 Dec. ] Pu Yuan Future Talents Scholarship, Shanghai Jiao Tong University

[2021 Nov. ] Yu Liming Scholarship, Shanghai Jiao Tong University

[2020 Nov. ] John Wu & Jane Sun Excellence Scholarship, Shanghai Jiao Tong University

[2019 Dec. ] First prize of Midea Innovation Competition, Midea Inc.

[2019 Aug. ] Best Technology Award in Summer Design Expo, UM-SJTU JI

Services

[Conference Reviewer] ICML ('22, '24), NeurIPS ('22-23), ICLR '24, CVPR '24

[Journal Reviewer] IEEE T-PAMI, Intelligent Computing (Science Partner)

Teaching

[FA. 2021] Bayesian Analysis (VE414), Teaching Assistant, UM-SJTU JI.

[SU. 2021] Probabilistic Methods in Eng. (VE401), Teaching Assistant, UM-SJTU JI.


Thanks Jon Barron for this template.