Zhanfeng Mo

According to our database, Zhanfeng Mo authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Xiang Lin, Bin Wang, Zhanfeng Mo, Chong Zhang, Yueyi Zhang, Zonglin Yang, Ruilin Li, Lei Lei, Shihao Xu, Han Zhao, Weiling Chen, Feng Ji, Lidong Bing

CoRR, July, 2025

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models.

Chong Zhang, Yue Deng, Xiang Lin, Bin Wang, Dianwen Ng, Hai Ye, Xingxuan Li, Yao Xiao, Zhanfeng Mo, Qi Zhang, Lidong Bing

CoRR, May, 2025

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization.

Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation.

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Fast Graph Generation via Spectral Diffusion.

Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Graph Principal Flow Network for Conditional Graph Generation.

Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan

Proceedings of the ACM on Web Conference 2024, 2024

Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network.

Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, March, 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

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint.

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

Proceedings of the International Conference on Machine Learning, 2023

2019

Theoretical Investigation of Generalization Bound for Residual Networks.

Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019