Zhanfeng Mo

15 papers A* 6Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models.
CoRR
Chong Zhang, Yue Deng, Xiang Lin, Bin Wang, Dianwen Ng, Hai Ye, Xingxuan Li, Yao Xiao, Zhanfeng Mo, Qi Zhang, Lidong Bing
2025 J jnl
First Try Matters: Revisiting the Role of Reflection in Reasoning Models.
CoRR
Liwei Kang, Yue Deng, Yao Xiao, Zhanfeng Mo, Wee Sun Lee, Lidong Bing
2025 J jnl
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization.
CoRR
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
2025 J jnl
Multi-Agent Tool-Integrated Policy Optimization.
CoRR
Zhanfeng Mo, Xingxuan Li, Yuntao Chen, Lidong Bing
2025 A* conf
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization.
ICLR
Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
2025 A* conf
Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation.
ICLR
Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
2025 J jnl
The generalization error bound for a stochastic gradient descent family via a Gaussian approximation method.
Int. J. Appl. Math. Comput. Sci.
Hao Chen, Zhanfeng Mo, Zhouwang Yang
2024 J jnl
Fast Graph Generation via Spectral Diffusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
2024 A* conf
Graph Principal Flow Network for Conditional Graph Generation.
WWW
Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan
2024 A* conf
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network.
ICLR
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
2023 J jnl
Group-shrinkage feature selection with a spatial network for mining DNA methylation data.
Comput. Biol. Medicine
Xinlu Tang, Zhanfeng Mo, Cheng Chang, Xiaohua Qian
2023 J jnl
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models.
CoRR
Fangkai Jiao, Bosheng Ding, Tianze Luo, Zhanfeng Mo
2023 A* conf
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint.
ICML
Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
2022 J jnl
Fast Graph Generation via Spectral Diffusion.
CoRR
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
2019 A* conf
Theoretical Investigation of Generalization Bound for Residual Networks.
IJCAI
Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang