A personalized recommendation method based on collaborative ranking with random walk. - Runqing Jiang; Shanshan Feng; Shoujia Zhang; Xi Li; Yan Yao; Huaxiang Zhang 001 (Multim. Tools Appl., 2022)

Driving Stress Estimation in Physiological Signals Based on Hierarchical Clustering and Multi-View Intact Space Learning. - Runqing Jiang; Lanlan Chen (IEEE Trans. Intell. Transp. Syst., 2022)

DQFORMER: Dynamic Query Transformer for Lane Detection. - Hao Yang; Shuyuan Lin; Runqing Jiang; Yang Lu 009; Hanzi Wang (ICASSP, 2023)

Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection. - Fenghong Yang; Runqing Jiang; Yan Yan 001; Jing-Hao Xue; Biao Wang; Hanzi Wang (IEEE Trans. Inf. Forensics Secur., 2024)

When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework. - Runqing Jiang; Yan Yan 001; Jing-Hao Xue; Biao Wang; Hanzi Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers. - Runqing Jiang; Ye Zhang; Longguang Wang; Pengpeng Yu; Yulan Guo (AAAI, 2025)

Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery. - Runqing Jiang; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Nannan Wang 001; Hanzi Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction. - Changjun Li; Runqing Jiang; Zhuo Song; Pengpeng Yu; Ye Zhang; Yulan Guo (CoRR, 2025)

Energy-guided test-time adaptation for data shifts in multi-modal perception. - Yun Pei 001; Lingbo Liu; Runqing Jiang; Ye Zhang; Pengpeng Yu; Liang Lin; Yulan Guo (Vis. Comput., 2025)