• I am a tenure-track assistant professor at IICS lab at Fudan University.
• My research interests lie in the general area of machine learning, particularly in deep learning, optimization, learning theory, spiking neural network.
• I received my Ph.D. Degree in the Electrical Engineering and Computer Science Department at Oregon State University in 2020, advised by Prof.Sinisa Todorovic.
• I received my Bachelor’s Degree in mathematics at Fudan University in 2010.

Recent News

• Aug 8, 2022. I joined IICS lab at Fudan university as a tenure-track assistant professor.

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 (Oral). (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]