Yi Wang      王 祎

Hello! I’m Yi Wang, a master’s student in Computer Science and Technology at Central South University supervised by Prof. Anfeng Liu. Before that, I received my bachelor’s degree in Computer Science and Technology from Central South University.

My research focuses on Artificial Intelligence, especially 3D Vision, Multi-Modal Learning, and Human Pose Estimation.

Email  /  Github  /  Google Scholar

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🔥 News

[2024-12] One paper accepted by AAAI 2025 🎉

[2023-12] One paper accepted by AAAI 2024 🎉

🚀 Research Projects

* denotes equal contribution.

point-acl
Point Cloud Understanding via Attention-Driven Contrastive Learning
Yi Wang*, Jiaze Wang*, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng.
In Submission

An attention-driven contrastive learning framework that can be seamlessly integrated into Transformer-based methods to enhance their robustness and generalization capabilities.

mm-mixing
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
Jiaze Wang*, Yi Wang*, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng.
AAAI 2025

MM-Mixing applies mixing-based methods to multi-modal data, preserving and optimizing cross-modal connections while enhancing diversity and improving alignment across modalities.

point-patch-mix
PointPatchMix: Point Cloud Mixing with Patch Scoring
Yi Wang*, Jiaze Wang*, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng.
AAAI 2024

A novel approach that mixes point clouds at the patch level and integrates a patch scoring module to generate content-based targets for mixed point clouds.

🏆 Awards

csu-logo

National Scholarship, 2024. (Top 1%)

First-Class Academic Scholarship, CSU, 2024-2025. (Ranked 1st/260)

Excellent Student, CSU, 2023-2024. (Top 10%)

Excellent Student, Central South University, 2020-2022. (Top 10%)

🙌 Social Services

Conference Reviewer

ICLR2025


Design and source code from Jon Barron's website and Jiaze Wang's website.