Borui Zhang
About me:
I am a third year Ph.D student in i-VisionGroup in the
Department of Automation, Tsinghua University, advised by Prof. Jiwen Lu. In 2021, I received my BS degree from
the Department of Automation and a second BS degree from the School of Economics and Management,
THU.
Research:
I have a broad interest in computer vision and deep learning theory. At present, my research mainly
focus on:
Explainable AI: Neural attribution and visualization, alignment between
representation and concept, and modular network design
Optimization theory: Low-resource optimization, optimization for large
models, and convergence analysis
Computer vision application: Autonomous driving, 3D reconstruction, and
implicit neural representation
Interest:
I cherish traveling and capturing beautiful moments through photography
📷.
Classical music 🎹 has always fascinated me, and I've been devoted
to practicing Chopin's compositions lately.
Additionally, I excel in sports like badminton 🏸, table tennis 🏓, and running 🏃,
which serve as my outlets to combat the pressures of scientific research.
Email  / 
Google Scholar  / 
Github  / 
Photography
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News
2024-02: Two papers on autonomous driving is accepted to CVPR 2024.
2024-01: One paper on explainable deep networks is accepted to ICLR 2024.
2023-01: One paper on explainable deep networks is accepted to ICLR 2023.
2022-07: One paper on dynamic metric learning is accepted to ECCV 2022.
2022-03: One paper on explainable metric learning is accepted to CVPR 2022.
2021-07: One paper on deep metric learning is accepted to ICCV 2021.
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Preprints
* indicates equal contribution
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Publications
* indicates equal contribution
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Path Choice Matters for Clear Attribution in Path Methods
Borui Zhang,
Wenzhao Zheng,
Jie Zhou,
Jiwen Lu
International Conference on Learning Representations (ICLR), 2024
[Paper] /
[Code]
To address the ambiguity in attributions caused by different path choices, we introduced the Concentration Principle and developed SAMP, an efficient model-agnostic interpreter. By incorporating the infinitesimal constraint (IC) and momentum strategy (MS), SAMP provides superior interpretations.
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Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
Borui Zhang,
Wenzhao Zheng,
Jie Zhou,
Jiwen Lu
International Conference on Learning Representations (ICLR), 2023
[Paper] /
[Code]
This paper proposes Bort, an optimizer for improving model explainability with boundedness and
orthogonality constraints on model parameters, derived from the sufficient conditions of model
comprehensibility and invertibility.
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Dynamic Metric Learning with Cross-Level Concept Distillation
Wenzhao Zheng,
Yuanhui Huang,
Borui Zhang,
Jie Zhou,
Jiwen Lu
European Conference on Computer Vision (ECCV), 2022
[Paper] /
[Code]
This paper propose a hierarchical concept refiner to construct multiple levels of concept embeddings
of an image and them pull closer the distance of the corresponding concepts to facilitate the
cross-level semantic structure of the image representations.
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Attributable Visual Similarity Learning
Borui Zhang,
Wenzhao Zheng,
Jie Zhou,
Jiwen Lu
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] /
[Code]
This paper proposes an attributable visual similarity learning (AVSL) framework, which employs a
generalized similarity learning paradigm to represent the similarity between two images with a graph
for a more accurate and explainable similarity measure between images.
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Deep Relational Metric Learning
Wenzhao Zheng*,
Borui Zhang*,
Jiwen Lu,
Jie Zhou
IEEE International Conference on Computer Vision (ICCV), 2021
[Paper] /
[Code]
This paper proposes to adaptively learn an ensemble of features that characterizes an image from
different aspects to model both interclass and intraclass distributions and employs a relational
module to capture the correlations among each feature.
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Honors and Awards
2023 National Scholarship (highest scholarship given by the government of China)
2022 Tsinghua Outstanding Student Cadre Award
2022 Tsinghua Excellent Teaching Assistant Award
2021 Tsinghua Future Scholars Scholarship (GPA: 3.81/4.0, Rank: 1/181)
2020 Changtong Scholarship (highest scholarship for seniors in the Dept. of Automation)
2019 Jiang Nanxiang Scholarship (highest scholarship for juniors in Tsinghua)
2018 National Scholarship (highest scholarship given by the government of China)
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Academic Services
Conference Reviewer:
CVPR 2024, ICME 2024
ICCV 2023, ICME 2023
CVPR 2022, ICME 2022, VCIP 2022
Journal Reviewer: T-IP,
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