Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. - Tenghui Li 001; Guoxu Zhou; Yuning Qiu; Qibin Zhao (CoRR, 2021)

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective. - Tenghui Li 001; Guoxu Zhou; Yuning Qiu; Qibin Zhao (J. Mach. Learn. Res., 2022)

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. - Mingyuan Bai; Wei Huang; Tenghui Li 001; Andong Wang; Junbin Gao; Cesar F. Caiafa; Qibin Zhao (ICML, 2024)

Scaling Capability in Token Space: An Analysis of Large Vision Language Model. - Tenghui Li 001; Guoxu Zhou; Xuyang Zhao; Qibin Zhao (J. Mach. Learn. Res., 2025)

Efficient Low Rank Attention for Long-Context Inference in Large Language Models. - Tenghui Li 001; Guoxu Zhou; Xuyang Zhao; Yuning Qiu; Qibin Zhao (CoRR, 2025)