| 2026 | AAAI | Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge. | Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Xin Geng |
| 2025 | AAAI | Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks. | Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng |
| 2025 | ICML | Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales. | Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng |
| 2024 | AAAI | Building Variable-Sized Models via Learngene Pool. | Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng |
| 2024 | AAAI | Transformer as Linear Expansion of Learngene. | Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng |
| 2024 | IJCAI | Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. | Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng |
| 2023 | CVPR | Towards Effective Visual Representations for Partial-Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng |
| 2022 | AAAI | Learngene: From Open-World to Your Learning Task. | Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu |
| 2022 | IJCAI | Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng |