Publications

Preprints

  • Jialin Liu, Wotao Yin, Wuchen Li, Yat Tin Chow, “Multilevel Optimal Transport: a Fast Approximation of Wasserstein-1 distances ”, submitted, 2018. (pdf, software)

Journal Papers

  • Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, and Wotao Yin. “First- and Second-Order Methods for Online Convolutional Dictionary Learning.” SIAM Journal on Imaging Sciences, 2018. (pdf, slides, software)

Conference Papers

The mark * denotes equal contribution.

  • Ernest Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin. “Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.” In Proceedings of International Conference on Machine Learning (ICML), 2019. (pdf, software)

  • Jialin Liu*, Xiaohan Chen*, Zhangyang Wang, Wotao Yin. “ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA.” In Proceedings of International Conference on Learning Representations (ICLR), 2019. (pdf, poster, software, Top-rated paper)

  • Xiaohan Chen*, Jialin Liu*, Zhangyang Wang, Wotao Yin. “Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds.” Advances in Neural Information Processing Systems (NeurIPS), 2018. (pdf, slides, software, Spotlight paper)

  • Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, and Wotao Yin. “Online Convolutional Dictionary Learning.” In Proceedings of IEEE International Conference on Image Processing (ICIP), 2017. (pdf, slides, software, Best Student Paper)

  • Jialin Liu, Yuantao Gu, and Mengdi Wang. “Averaging random projection: A fast online solution for large-scale constrained stochastic optimization.” In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.