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Yi Wang η η₯
Hello! Iβm Yi Wang, a first-year PhD student at The Hong Kong Polytechnic University (PolyU) supervised by Prof. Wenqi FAN. Before that, I received my master's and bachelorβs degree in Computer Science and Technology from Central South University (CSU) supervised by Prof. Anfeng Liu.
My research focuses on Artificial Intelligence, especially Multi-Modal Large Language Models, 3D Vision, and Human Pose Estimation.
Email /
Github /
Google Scholar
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π₯ News
[2026-02] One paper accepted by CVPR 2026 π
[2025-09] One paper accepted by NeurIPS 2025 π
[2024-12] One paper accepted by AAAI 2025 π
[2023-12] One paper accepted by AAAI 2024 π
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π Research Projects
* denotes equal contribution.
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A Survey on AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization
Xu Yuan*, Yi Wang*, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Shanru Lin, Guoliang Xing, Hongxia Yang, Jiannong Cao, Qing Li, Wenqi Fan.
In Submission
A survey frames AI smart glasses as integrated wearable-intelligence platforms for personalized intelligent assistance beyond display devices.
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Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors
Yingjie Feng*, Yi Wang*, Jiaze Wang, Anfeng Liu, Zhuotao Tian.
CVPR 2026
A transitional anchor-based contrastive learning framework that captures the continuous geometry of the action space.
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What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
Yi Wang*, Jiaze Wang*, Ziyu Guo, Renrui Zhang, Donghao Zhou, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng.
NeurIPS 2025
An attention-driven contrastive learning framework that can be seamlessly integrated into Transformer-based methods to enhance their robustness and generalization capabilities.
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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.
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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.
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Outstanding Graduates, Hunan Province, 2026.
National Scholarship, 2024, 2025. (Top 1%)
First-Class Academic Scholarship, CSU, 2024-2026. (Ranked 1st/260)
Excellent Student, CSU, 2023-2025. (Top 10%)
Excellent Student, Central South University, 2020-2022. (Top 10%)
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π Social Services
Conference Reviewer
ICLR2025, ICLR 2026
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