Theoretical Investigation of Generalization Bound for Residual Networks. - Hao Chen; Zhanfeng Mo; Zhouwang Yang; Xiao Wang 045 (IJCAI, 2019)

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint. - Zhanfeng Mo; Haosen Shi 003; Sinno Jialin Pan (ICML, 2023)

Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models. - Fangkai Jiao; Bosheng Ding; Tianze Luo; Zhanfeng Mo (CoRR, 2023)

Group-shrinkage feature selection with a spatial network for mining DNA methylation data. - Xinlu Tang; Zhanfeng Mo; Cheng Chang; Xiaohua Qian (Comput. Biol. Medicine, 2023)

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network. - Tianze Luo; Zhanfeng Mo; Sinno Jialin Pan (ICLR, 2024)

Graph Principal Flow Network for Conditional Graph Generation. - Zhanfeng Mo; Tianze Luo; Sinno Jialin Pan (WWW, 2024)

Fast Graph Generation via Spectral Diffusion. - Tianze Luo; Zhanfeng Mo; Sinno Jialin Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation. - Zhanfeng Mo; Haosen Shi 003; Sinno Jialin Pan (ICLR, 2025)

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization. - Zhanfeng Mo; Long-Kai Huang; Sinno Jialin Pan (ICLR, 2025)

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models. - Chong Zhang; Yue Deng 010; Xiang Lin; Bin Wang; Dianwen Ng; Hai Ye; Xingxuan Li; Yao Xiao; Zhanfeng Mo; Qi Zhang 001; Lidong Bing (CoRR, 2025)

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization. - Xingxuan Li; Yao Xiao; Dianwen Ng; Hai Ye; Yue Deng 010; Xiang Lin; Bin Wang; Zhanfeng Mo; Chong Zhang; Yueyi Zhang; Zonglin Yang 001; Ruilin Li; et al. (CoRR, 2025)