Mo, Zhanfeng

6 publications

ICLR 2025 Parameter and Memory Efficient Pretraining via Low-Rank Riemannian Optimization Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

ICLR 2025 Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

ICLR 2024 Learning Adaptive Multiresolution Transforms via Meta-Framelet-Based Graph Convolutional Network Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

ICMLW 2023 Conditional Graph Generation with Graph Principal Flow Network Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

ICML 2023 Pruning via Sparsity-Indexed ODE: A Continuous Sparsity Viewpoint Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

IJCAI 2019 Theoretical Investigation of Generalization Bound for Residual Networks Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang