Shanglin Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training. | Yuting Tang, Weibang Jiang, Shanglin Li, Yong Li, Chenyu Liu, Xinliang Zhou, Yi Ding, Cuntai Guan |
| 2025 | ICCV | LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition. | Jinghan You, Shanglin Li, Yuanrui Sun, Jiangchuan Wei, Mingyu Guo, Chao Feng, Jiao Ran |
| 2025 | ICLR | SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG. | Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler |
| 2025 | ICLR | IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. | Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan |
| 2024 | AAAI | Federated Learning via Input-Output Collaborative Distillation. | Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann |
| 2024 | AAAI | Controllable Mind Visual Diffusion Model. | Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang |
| 2024 | CVPR | UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation. | Hong Li, Yutang Feng, Song Xue, Xuhui Liu, Bohan Zeng, Shanglin Li, Boyu Liu, Jianzhuang Liu, Shumin Han, Baochang Zhang |
| 2024 | CVPR | LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces. | Xuhui Liu, Bohan Zeng, Sicheng Gao, Shanglin Li, Yutang Feng, Hong Li, Boyu Liu, Jianzhuang Liu, Baochang Zhang |
| 2024 | CVPR | ZONE: Zero-Shot Instruction-Guided Local Editing. | Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xiuhui Liu, Jiaming Liu, Lin Li, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang |
| 2024 | ESANN | Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG. | Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler |
| 2013 | ICMV | Design of personalized search engine based on user-webpage dynamic model. | Jihan Li, Shanglin Li, Yingke Zhu, Bo Xiao |