Publications

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2025

Multi-Agent Tool-Integrated Policy Optimization

Zhanfeng Mo, Xingxuan Li, Lidong Bing

AAAI 2026 TrustAgent Workshop

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 2025 — Spotlight top 1.4%

First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Liwei Kang, Yue Deng, Yao Xiao, Zhanfeng Mo, Wee Sun Lee, Lidong Bing

Arxiv Preprint

Generalization Error Bound for an SGD Family via a Gaussian Approximation Method

Hao Chen, Zhanfeng Mo, Zhouwang Yang

Int. J. Appl. Math. Comput. Sci.

Causality-driven candidate identification for reliable DNA methylation biomarker discovery

Xinlu Tang, Rui Guo, Zhanfeng Mo, Wenli Fu, Xiaohua Qian

Nature Communications

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 T-PAMI

Learning Adaptive Graph Transforms: Meta-Framelet-based Graph Convolutional Network

Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan

ICLR 2024

2023

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

ICML 2023

Group-shrinkage feature selection with a spatial network for mining DNA methylation data

Xinlu Tang, Zhanfeng Mo, Cheng Chang, Xiaohua Qian

Computers in Biology and Medicine

2019

Theoretical Investigation of Generalization Bound for Residual Networks

Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang

IJCAI 2019 — Oral