Non-Contact Negative Mood State Detection Using Reliability-Focused Multi-Modal Fusion Model. - Qian Rong; Shuai Ding 001; Zijie Yue; Yaping Wang; Linjie Wang; Xi Zheng 001; Yinghui Li (IEEE J. Biomed. Health Informatics, 2022)

Combining Autoencoder with Adaptive Differential Privacy for Federated Collaborative Filtering. - Xuanang Ding; Guohui Li 001; Ling Yuan; Lu Zhang; Qian Rong (DASFAA (1), 2023)

A Static Bi-dimensional Sample Selection for Federated Learning with Label Noise. - Qian Rong; Ling Yuan; Guohui Li 001; Jianjun Li; Lu Zhang; Xuanang Ding (DASFAA (1), 2023)

Rapid Identification Method for CH4/CO/CH4-CO Gas Mixtures Based on Electronic Nose. - Jianxin Yin; Yongli Zhao; Zhi Peng; Fushuai Ba; Peng Peng; Xiaolong Liu; Qian Rong; Youmin Guo; Yafei Zhang (Sensors, 2023)

Efficient federated item similarity model for privacy-preserving recommendation. - Xuanang Ding; Guohui Li 001; Ling Yuan; Lu Zhang; Qian Rong (Inf. Process. Manag., 2023)

Noisy Label Learning Based on Weighted Neighborhood Consistency. - Qian Rong; Lu Zhang; Ling Yuan; Xuanang Ding; Guohui Li 001 (APWeb/WAIM (5), 2024)

EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering. - Lu Zhang; Qian Rong; Xuanang Ding; Guohui Li 001; Ling Yuan (CIKM, 2024)

Towards Resource-Efficient and Secure Federated Multimedia Recommendation. - Guohui Li 001; Xuanang Ding; Ling Yuan; Lu Zhang; Qian Rong (ICASSP, 2024)

HN3S: A Federated AutoEncoder framework for Collaborative Filtering via Hybrid Negative Sampling and Secret Sharing. - Lu Zhang; Guohui Li 001; Ling Yuan; Xuanang Ding; Qian Rong (Inf. Process. Manag., 2024)

FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning. - Guohui Li; Lu Zhang; Qian Rong; Xuanang Ding; Ling Yuan (ICASSP, 2025)

An anxiety screening framework integrating multimodal data and graph node correlation. - Haimiao Mo; Hongjia Wu; Qian Rong; Zhijian Hu; Meng Yi; Peipei Chen (Artif. Intell. Medicine, 2025)

A Noninvasive Framework for Heart Function Assessment by Multitask Learning. - Haimiao Mo; Juan Liang; Bing Li; Zhijian Hu; Meng Yi; Hongjia Wu; Qian Rong; Zeyuan Xu (IEEE Trans. Instrum. Meas., 2025)