Dense Transformer Networks. - Jun Li 098; Yongjun Chen; Lei Cai; Ian Davidson; Shuiwang Ji (CoRR, 2017)

Weakly Supervised Energy-Based Learning for Action Segmentation. - Jun Li 098; Peng Lei; Sinisa Todorovic (ICCV, 2019)

Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. - Jun Li 098; Yongjun Chen; Lei Cai; Ian Davidson; Shuiwang Ji (IJCAI, 2019)

Set-Constrained Viterbi for Set-Supervised Action Segmentation. - Jun Li 098; Sinisa Todorovic (CVPR, 2020)

Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform. - Jun Li 098; Fuxin Li; Sinisa Todorovic (ICLR, 2020)

Anchor-Constrained Viterbi for Set-Supervised Action Segmentation. - Jun Li 098; Sinisa Todorovic (CVPR, 2021)

Action Shuffle Alternating Learning for Unsupervised Action Segmentation. - Jun Li 098; Sinisa Todorovic (CVPR, 2021)

A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. - Jianwen Xie; Yaxuan Zhu; Jun Li 098; Ping Li 001 (ICLR, 2022)

Constructing Orthogonal Convolutions in an Explicit Manner. - Tan Yu; Jun Li 098; Yunfeng Cai; Ping Li 001 (ICLR, 2022)