Quantum Reinforcement Learning for Dynamic Multi-Objective Energy Management in Community Microgrids
Yan Gu, Huiru Yan, Qingle Wang, Cong Liu, Cheng Liu, Long Cheng
Energy and Buildings|2026
Publications
2026
Prototype Retrieval-Augmented Federated Learning System for Robust Intrusion Detection
Hanlin Zhou, Huiru Yan, Jiawei Nian, Cong Liu, Ying Wang, Xiaomin Chen, Georgios Theodoropoulos, Long Cheng
IEEE Transactions on Computers|2026
Energy-efficient real-time workflow scheduling in edge–cloud environments based on multi-agent reinforcement learning
Mengyao Wen, Xin Ning, Mengyang Pu, Cong Liu, Qingle Wang, Xiaomin Chen, Long Cheng
Applied Energy|2026
Deep Reinforcement Learning for Adaptive Control of Heater Position and Heating Power in a Smart Greenhouse
Ratta Chindasilpa, Durrotun Nashihin, Jiahuan Pei, Long Cheng, Xiaohan Zhou, Qingzhi Liu
Smart Agricultural Technology|2026
A Hierarchical GNN-based Multi-Agent Framework for Workflow Scheduling in Hybrid Clouds Considering Privacy Constraints
Yan Gu, Hanlin Zhou, Cong Liu, Fang Fang, Zhiming Zhao, Georgios Theodoropoulos, Long Cheng
IEEE Transactions on Services Computing|2026
Data-intensive task scheduling in geo-distributed cloud computing: a deep reinforcement learning approach
Zhaoze Liu, Yajuan Sun, Cong Liu, Zhiming Zhao, Long Cheng
Journal of Cloud Computing|2026
Discovering Consumer Pathways through UWB-Based Spatiotemporal Analytics in Electronics Stores for Smart Cities
Jiaxin Yan, Cong Liu, Qingtian Zeng, Sibo Qiao, Lu Liu, Long Cheng
IEEE Transactions on Consumer Electronics|2026
Data Fusion in Modern Energy Systems
Long Cheng, Shan Zuo, Pedro Vergara, Tomas Ward, Xin Ning
Information Fusion|2026|Editorial
MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs
Junfeng Gong, Long Cheng, Jiawei Nian, Cheng Liu, Huawei Li
ACM Transactions on Embedded Computing Systems|2026
Understanding and Mitigating Errors of LLM-Generated RTL Code
Jiazheng Zhang, Cheng Liu, Long Cheng, Xiaowei Li, Huawei Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems|2026
Towards Efficient Support for Business Process Event Log Sampling
Xuan Su, Cong Liu, Shuaipeng Zhang, Qingtian Zeng, Qi Mo, Long Cheng
IEEE Transactions on Services Computing|2026
Enhancing Process Discovery by Optimizing Imprecise Subprocesses
Jiaxin Yan, Cong Liu, Qingtian Zeng, Jian Cao, Youxi Wu, Chun Ouyang, Long Cheng
IEEE Transactions on Services Computing|2026
Detecting Root Causes for Process Performance Anomalies Using Causal Inference
Na Guo, Cong Liu, Qingtian Zeng, Youxi Wu, Jinglin Zhang, Xixi Lu, Long Cheng
IEEE Transactions on Services Computing|2026
HybridEditDif: Text and Exemplar Guided Image Editing with Diffusion Models
Qi Liu, Xuemei Fu, Huang Zhang, Long Cheng, Jungong Han, Catarina Moreira, Xin Ning, Xiao Bai
Pattern Recognition|2026
Optimizing resource allocation for wind turbine maintenance through process and fault data fusion
Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Haobing Liu, Qingle Wang, Long Cheng
Information Fusion|2026
MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion
Jinlong Xie, Liping Zhang, Long Cheng, Jian Yao, Pengjiang Qian, Binrong Zhu, Guiran Liu
Information Fusion|2026
M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model
Hang Fan, Mingxuan Li, Zuhan Zhang, Long Cheng, Yujian Ye, Weican Liu, Dunnan Liu
Information Fusion|2026
Quantum support vector machine for power quality analysis
Yu Jin, Qingle Wang, Xinhao Li, Yue Li, Yuancheng Li, Kejia Zhang, Hao Liu, Long Cheng
Quantum Computational AI (Book Chapter)|2026
Hybrid quantum-classical reinforcement learning for scheduling systems
Yan Gu, Shuhong Dai, Cong Liu, Qingle Wang, Long Cheng
Quantum Computational AI (Book Chapter)|2026