Fast genre classification of web images using global and local features. - Guo-Shuai Liu; Rui-Qi Wang; Fei Yin; Jean-Marc Ogier; Cheng-Lin Liu 001 (CAAI Trans. Intell. Technol., 2018)

Fast Text/non-Text Image Classification with Knowledge Distillation. - Miao Zhao; Rui-Qi Wang; Fei Yin; Xu-Yao Zhang; Lin-Lin Huang 001; Jean-Marc Ogier (ICDAR, 2019)

GSS: Graph-Based Subspace Learning with Shots Initialization for few-shot Recognition. - Rui-Qi Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICME, 2021)

Class Forge: Boosting Feature Encoder for Few-Shot Learning with Synthesized Classes. - Rui-Qi Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICME, 2021)

A deep learning improved numerical method for the simulation of rogue waves of nonlinear Schrödinger equation. - Rui-Qi Wang; Liming Ling; Delu Zeng; Bao-Feng Feng (Commun. Nonlinear Sci. Numer. Simul., 2021)

Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition. - Rui-Qi Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Training with scaled logits to alleviate class-level over-fitting in few-shot learning. - Rui-Qi Wang; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neurocomputing, 2023)

Learning by Seeing More Classes. - Fei Zhu 004; Xu-Yao Zhang; Rui-Qi Wang; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Achieving binary weight and activation for LLMs using Post-Training Quantization. - Siqing Song; Chuang Wang 007; Rui-Qi Wang; Yi Yang; Xu-Yao Zhang (ACL (Findings), 2025)