🔥 News
[2024-12] One paper accepted by AAAI 2025 🎉
[2023-12] One paper accepted by AAAI 2024 🎉
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🚀 Research Projects
* denotes equal contribution.
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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.
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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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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%)
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🙌 Social Services
Conference Reviewer
ICLR2025
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