Yuru Liu

According to our database, Yuru Liu authored at least 10 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, April, 2023

CFSL: A Credible Federated Self-Learning Framework.

Weishan Zhang, Zhicheng Bao, Yuru Liu, Liang Xu, Qinghua Lu, Huansheng Ning, Xiao Wang, Su Yang, Fei-Yue Wang, Zengxiang Li

IEEE Internet Things J., 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

A Truthful Auction for Green Continuous Task Allocation and Pricing in Edge Computing.

Yuru Liu, Di Zhang, Xun Shao, Keping Yu, Shahid Mumtaz

Proceedings of the IEEE International Conference on Communications, 2023

Ultra-Dense LEO Satellite Access Network Slicing: A Deep Reinforcement Learning Approach.

Yuru Liu, Ting Ma, Zhixuan Tang, Xiaohan Qin, Haibo Zhou, Xuemin Shen

Proceedings of the IEEE Global Communications Conference, 2023

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

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

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

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

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-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