Multi-type feature fusion based on graph neural network for drug-drug interaction prediction. - Changxiang He; Yuru Liu; Hao Li; Hui Zhang; Yaping Mao; Xiaofei Qin; Lele Liu; Xuedian Zhang (BMC Bioinform., 2022)

Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction. - Wen Zhong; Changxiang He; Chen Xiao; Yuru Liu; Xiaofei Qin; Zhensheng Yu (BMC Bioinform., 2022)

Multi-stage part-aware graph convolutional network for skeleton-based action recognition. - Xiaofei Qin; Hao Li; Yuru Liu; Jiabin Yu; Changxiang He; Xuedian Zhang (IET Image Process., 2022)

Impact of Community-Based Governance Mechanisms on Transaction Intention on a Second-Hand Trading Platform. - Yuru Liu; Yan Wan; Jun Kang (J. Theor. Appl. Electron. Commer. Res., 2022)

HMPFL: Hypernetwork Model based Personalized Federated Learning for Industrial Anomaly Detection. - Zhen Zhang; Weishan Zhang; Zhicheng Bao; Qiyuan Liu; Yuru Liu; Yikang Zhao; Rui Zhang; Wenyin Zhu (DTPI, 2023)

Ultra-Dense LEO Satellite Access Network Slicing: A Deep Reinforcement Learning Approach. - Yuru Liu; Ting Ma 004; Zhixuan Tang; Xiaohan Qin; Haibo Zhou; Xuemin Shen (GLOBECOM, 2023)

A Truthful Auction for Green Continuous Task Allocation and Pricing in Edge Computing. - Yuru Liu; Di Zhang 002; Xun Shao; Keping Yu; Shahid Mumtaz (ICC, 2023)

Energy Consumption Optimization for Heating, Ventilation and Air Conditioning Systems Based on Deep Reinforcement Learning. - Yi Peng; Haojun Shen; Xiaochang Tang; Sizhe Zhang; Jinxiao Zhao; Yuru Liu; Yuming Nie (IEEE Access, 2023)

CFSL: A Credible Federated Self-Learning Framework. - Weishan Zhang; Zhicheng Bao; Yuru Liu; Liang Xu 009; Qinghua Lu 001; Huansheng Ning; Xiao Wang 002; Su Yang 001; Fei-Yue Wang 001; Zengxiang Li (IEEE Internet Things J., 2023)

Software Architecture for Responsible Artificial Intelligence Systems: Practice in the Digitization of Industrial Drawings. - Zhicheng Bao; Weishan Zhang; Xingjie Zeng; Hongwei Zhao; Cihao Dong; Yuming Nie; Yuru Liu; Yuange Liu; Junzhong Wu (Computer, 2023)

HIPFL: A Hierarchical Incentive-Based Personalized Federated Learning. - Yuru Liu; Zhicheng Bao; Weishan Zhang; Shentao Yao; Hongwei Zhao; Zhen Zhang; Yifan Miao (DTPI, 2024)

Personalized Fuzzy Federated Prompt Tuning for Re-Identification. - Hongwei Zhao; Weishan Zhang; Haoyun Sun; Yikang Zhao; Yuru Liu; Ziyu Wang (DTPI, 2024)

Knowledge-Enhanced Conversational Recommendation via Multi-view Graph Contrastive Learning. - Yuru Liu; Yong Xu; Cheng Li; Chuang Shi; Qun Fang (ICIC (20), 2025)

DAGR: DyHGSampler and AdaSGC-Based Knowledge Graph Diffusion for Recommendation. - Chuang Shi; Yong Xu; Cheng Li; Yuru Liu; Qun Fang (ICIC (8), 2025)

Reconfigurable RAN Slicing for Ultra-Dense LEO Satellite Networks via DRL. - Yuru Liu; Ting Ma 004; Xiaohan Qin; Haibo Zhou; Xuemin Sherman Shen (IEEE Trans. Cogn. Commun. Netw., 2025)

Brain-Like Cognition-Driven Model Factory for IIoT Fault Diagnosis by Combining LLMs With Small Models. - Yuru Liu; Weishan Zhang; Zhicheng Bao; Xudong Chai; Mu Gu; Wei Jiang; Zichao Zhang; Ye Tian; Fei-Yue Wang 001 (IEEE Internet Things J., 2025)