Publications

Ruizhe Zheng*, Jun Li*, Yi Wang, Tian Luo, Yuguo Yu.
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges
The 37th AAAI Conference on Artificial Intelligence. AAAI 2023. (equal contribution)
[paper]

Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li.
A Tale of Two Flows- Cooperative Learning of Langevin Flow and Normalizing Flow toward Energy-Based Model
The 10th International Conference on Learning Representations. ICLR 2022.
[paper]

Tan Yu, Jun Li, Yunfeng Cai, Ping Li.
Constructing Orthogonal Convolutions in an Explicit Manner
The 10th International Conference on Learning Representations. ICLR 2022.
[paper]

Jun Li, Sinisa Todorovic.
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
Conference on Computer Vision and Pattern Recognition 2021. CVPR 2021.
[paper]

Jun Li, Sinisa Todorovic.
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
Conference on Computer Vision and Pattern Recognition 2021. CVPR 2021.
[paper]

Jun Li, Sinisa Todorovic.
Set-Constrained Viterbi for Set-Supervised Action Segmentation
Conference on Computer Vision and Pattern Recognition 2020. CVPR 2020.
[paper]

Jun Li, Fuxin Li, Sinisa Todorovic.
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
The 8th International Conference on Learning Representations. ICLR 2020.
[paper]

Jun Li, Peng Lei, Sinisa Todorovic.
Weakly Supervised Energy-Based Learning for Action Segmentation
International Conf. on Computer Vision 2019. ICCV 2019 (Oral).
[paper][code][video][slides][poster]

Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji.
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation
Proceedings of the 28th International Joint Conference on Artificial Intelligence. IJCAI 2019.
[paper][code]