Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. - Zhijian Zhuo 001; Yifei Wang 001; Jinwen Ma; Yisen Wang 001 (ICLR, 2023)

Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing. - Zhijian Zhuo 001; Yifei Wang 001; Jinwen Ma; Yisen Wang 001 (ACML, 2024)

Neural Collapse Inspired Regularization for Deep Graph Neural Networks. - Zhijian Zhuo 001; Jinwen Ma (ICONIP (2), 2024)

Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models. - Zhijian Zhuo 001; Ya Wang; Yutao Zeng; Xiaoqing Li; Xun Zhou; Jinwen Ma (ICLR, 2025)

Scale-Distribution Decoupling: Enabling Stable and Effective Training of Large Language Models. - Ya Wang; Zhijian Zhuo 001; Yutao Zeng; Xun Zhou; Jian Yang; Xiaoqing Li (CoRR, 2025)

HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization. - Zhijian Zhuo 001; Yutao Zeng; Ya Wang; Sijun Zhang; Jian Yang; Xiaoqing Li; Xun Zhou; Jinwen Ma (CoRR, 2025)