Qiming Fu

According to our database, Qiming Fu authored at least 64 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

GTD3-NET: A deep reinforcement learning-based routing optimization algorithm for wireless networks.

You Lu, Zhe Zhang, Xiao Xu, Lanhui Liu, Qiming Fu, Jianping Chen, Chen Chen

Peer Peer Netw. Appl., February, 2025

LinFa-Q: Accurate Q-learning with linear function approximation.

Zhechao Wang, Qiming Fu, Jianping Chen, Quan Liu, You Lu, Hongjie Wu, Fuyuan Hu

Neurocomputing, 2025

2024

LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature.

Xueyang Zhou, Qiming Fu, Youbing Xia, Yunzhe Wang, You Lu, Yanming Chen, Jianping Chen

IEEE J. Biomed. Health Informatics, April, 2024

Document-level multiple relations extraction method via evidence guidance and relation correlation.

Hao Yang, Qiming Fu, You Lu, Yunzhe Wang, Lanhui Liu, Jianping Chen

Appl. Soft Comput., 2024

2023

A Sub-flow Adaptive Multipath Routing Algorithm for Data Centre Network.

You Lu, Yuhao Chen, Xiao Xu, Qiming Fu, Jianping Chen, Lanhui Liu

Int. J. Comput. Intell. Syst., December, 2023

Generalized gradient emphasis learning for off-policy evaluation and control with function approximation.

Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong

Neural Comput. Appl., November, 2023

DNA protein binding recognition based on lifelong learning.

Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu

Comput. Biol. Medicine, September, 2023

Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control.

Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong

Appl. Intell., September, 2023

Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network.

Xueyang Zhou, Qiming Fu, Jianping Chen, Lanhui Liu, Yunzhe Wang, You Lu, Hongjie Wu

J. Biomed. Informatics, August, 2023

MAML²: meta reinforcement learning via meta-learning for task categories.

Qiming Fu, Zhechao Wang, Nengwei Fang, Bin Xing, Xiao Zhang, Jianping Chen

Frontiers Comput. Sci., August, 2023

Reinforcement Learning in Few-Shot Scenarios: A Survey.

Zhechao Wang, Qiming Fu, Jianping Chen, Yunzhe Wang, You Lu, Hongjie Wu

J. Grid Comput., June, 2023

An Intelligent Action Decision Algorithm for Exoskeleton in Edge Networks Environment based on Deep Reinforcement Learning.

Ben Xu, Jiacheng Sun, Yunzhe Wang, Qiming Fu, You Lu

Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

2022

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning.

Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Energy-efficient control of thermal comfort in multi-zone residential HVAC via reinforcement learning.

Zhengkai Ding, Qiming Fu, Jianping Chen, Hong-Jie Wu, You Lu, Fuyuan Hu

Connect. Sci., 2022

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition.

Kaile Du, Fan Lyu, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu, Qiming Fu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function.

Zhongtian Hu, Jun Yan, Yuli Wang, Changsong Yang, Qiming Fu, Weizhong Lu, Hongjie Wu

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

A Multivariate Time Series Anomaly Detection Model Based on Graph Attention Mechanism in Energy Consumption of Intelligent Buildings.

Zhe Zhang, Yuhao Chen, Huixue Wang, Yunzhe Wang, Qiming Fu, You Lu

Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

Deep Reinforcement Learning for Task Scheduling in Intelligent Building Edge Network.

Yuhao Chen, Yunzhe Wang, Zhe Zhang, Qiming Fu, Huixue Wang, You Lu

Proceedings of the Tenth International Conference on Advanced Cloud and Big Data, 2022

2021

Behavior Prediction for Unmanned Driving Based on Dual Fusions of Feature and Decision.

Shan Zhong, Meng Wei, Shengrong Gong, Kaijian Xia, Yuchen Fu, Qiming Fu, Hongsheng Yin

IEEE Trans. Intell. Transp. Syst., 2021

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors.

Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings.

Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong

Inf. Sci., 2021

A novel double-mGBDT-based Q-learning.

Qiming Fu, Shuai Ma, Dawei Tian, Jianping Chen, Zhen Gao, Shan Zhong

Int. J. Model. Identif. Control., 2021

Research on RNA secondary structure predicting via bidirectional recurrent neural network.

Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li

BMC Bioinform., 2021

Multi-zone Residential HVAC Control with Satisfying Occupants' Thermal Comfort Requirements and Saving Energy via Reinforcement Learning.

Zhengkai Ding, Qiming Fu, Jianping Chen, Hongjie Wu, You Lu, Fuyuan Hu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion.

Shixuan Guan, Tengsheng Jiang, Weizhong Lu, Qiming Fu, Haiou Li, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.

Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

Applying Graph Neural Network in Deep Reinforcement Learning to Optimize Wireless Network Routing.

Xiao Xu, You Lu, Qiming Fu

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020

Cloud data acquisition and processing model based on blockchain.

You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen

J. Intell. Fuzzy Syst., 2020

Online model-learning algorithm from samples and trajectories.

Shan Zhong, Qiming Fu, Kaijian Xia, Shengrong Gong, Yufeng Yao

J. Ambient Intell. Humaniz. Comput., 2020

A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning.

Qiming Fu, QingSong Liu, Zhen Gao, Hongjie Wu, Baochuan Fu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2020

An Adaptive Similarity-Measuring-Based CMAB Model for Recommendation System.

Shan Zhong, Wenhao Ying, Xuemei Chen, Qiming Fu

IEEE Access, 2020

A Depression Recognition Method for College Students Using Deep Integrated Support Vector Algorithm.

Yan Ding, Xuemei Chen, Qiming Fu, Shan Zhong

IEEE Access, 2020

Prediction of Membrane Protein Interaction Based on Deep Residual Learning.

Tengsheng Jiang, Hongjie Wu, Yuhui Chen, Haiou Li, Jin Qiu, Weizhong Lu, Qiming Fu

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

一种基于生成对抗网络的强化学习算法 (Reinforcement Learning Algorithm Based on Generative Adversarial Networks).

Jianping Chen, Feng Zou, Quan Liu, Hongjie Wu, Fuyuan Hu, Qiming Fu

计算机科学, 2019

Variational Bayesian Exploration-Based Active Sarsa Algorithm.

Qiming Fu, Zhengxia Yang, You Lu, Hongjie Wu, Fuyuan Hu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2019

A policy conflict detection mechanism for multi-controller software-defined networks.

You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen, Encen Zou, Baochuan Fu

Int. J. Distributed Sens. Networks, 2019

Multi-threading parallel reinforcement learning.

Qiming Fu, Yiyi Kang, Zhen Gao, Hongjie Wu, Fuyuan Hu, Jianping Chen, Shan Zhong

Int. J. Comput. Appl. Technol., 2019

Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation.

Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu

Frontiers Comput. Sci., 2019

Unsupervised Object Transfiguration with Attention.

Zihan Ye, Fan Lyu, Linyan Li, Yu Sun, Qiming Fu, Fuyuan Hu

Cogn. Comput., 2019

Residual Sarsa algorithm with function approximation.

Qiming Fu, Wen Hu, Quan Liu, Heng Luo, Lingyao Hu, Jianping Chen

Clust. Comput., 2019

Research on predicting 2D-HP protein folding using reinforcement learning with full state space.

Hongjie Wu, Ru Yang, Qiming Fu, Jianping Chen, Weizhong Lu, Haiou Li

BMC Bioinform., 2019

Ranking near-native candidate protein structures via random forest classification.

Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li

BMC Bioinform., 2019

Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter.

Weizhong Lu, Ye Tang, Hongjie Wu, Hongmei Huang, Qiming Fu, Jing Qiu, Haiou Li

BMC Bioinform., 2019

SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning.

Zihan Ye, Fan Lyu, Linyan Li, Qiming Fu, Jinchang Ren, Fuyuan Hu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs.

Huajing Ling, Hongjie Wu, Jiayan Han, Jiwen Ding, Weizhong Lu, Qiming Fu

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

A study on multi-dimension error compensation and application to the foundation pit monitoring.

Hongjie Wu, Kaihui Bian, Qiming Fu, Cheng Chen, Xiaokang Ye, Jianping Chen

J. Comput. Methods Sci. Eng., 2018

A Sarsa-based adaptive controller for building energy conservation.

Qiming Fu, Lingyao Hu, Hongjie Wu, Fuyuan Hu, Wen Hu, Jianping Chen

J. Comput. Methods Sci. Eng., 2018

Single Trajectory Learning: Exploration Versus Exploitation.

Qiming Fu, Quan Liu, Shan Zhong, Heng Luo, Hongjie Wu, Jianping Chen

Int. J. Pattern Recognit. Artif. Intell., 2018

Coarse to Fine: Multi-label Image Classification with Global/Local Attention.

Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu

Proceedings of the IEEE International Smart Cities Conference, 2018

Optimizing HP Model Using Reinforcement Learning.

Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen

Proceedings of the Intelligent Computing Theories and Application, 2018

RNA Secondary Structure Prediction Based on Long Short-Term Memory Model.

Hongjie Wu, Ye Tang, Weizhong Lu, Cheng Chen, Hongmei Huang, Qiming Fu

Proceedings of the Intelligent Computing Theories and Application, 2018

Optimizing GPCR Two-Dimensional Topology from Contact Map.

Hongjie Wu, Dadong Dai, Huaxiang Shen, Ru Yang, Weizhong Lu, Qiming Fu

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Prediction of Indoor PM2.5 Index Using Genetic Neural Network Model.

Hongjie Wu, Cheng Chen, Weisheng Liu, Ru Yang, Qiming Fu, Baochuan Fu, Dadong Dai

Proceedings of the Intelligent Computing Theories and Application, 2018

DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit.

Zihan Ye, Fan Lyu, Jinchang Ren, Yu Sun, Qiming Fu, Fuyuan Hu

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017

Efficient actor-critic algorithm with dual piecewise model learning.

Shan Zhong, Quan Liu, Shengrong Gong, Qiming Fu, Jin Xu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Reasoning and predicting POMDP planning complexity via covering numbers.

Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu

Frontiers Comput. Sci., 2016

Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning.

Shan Zhong, Quan Liu, Qi-ming Fu

Comput. Intell. Neurosci., 2016

2015

A Bayesian Sarsa Learning Algorithm with Bandit-Based Method.

Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs.

Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2013

A Gradient Descent Sarsa(λ) Algorithm Based on the Adaptive Reward-shaping Mechanism.

Quan Liu, Qi-ming Fu, Fei Xiao, Yuchen Fu

Intell. Autom. Soft Comput., 2013

The second order temporal difference error for Sarsa(λ).

Qi-ming Fu, Quan Liu, Fei Xiao, Guixin Chen

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2011

Relevance feedback techniques and genetic algorithm for image retrieval based on multiple features.

Qi-ming Fu, Quan Liu, Xiaoyan Wang, Le Zhang

Int. J. Model. Identif. Control., 2011

Double elite co-evolutionary genetic algorithm.

Xiaoyan Wang, Quan Liu, Qi-ming Fu, Le Zhang

Int. J. Comput. Sci. Eng., 2011

2009

A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward.

Qi-ming Fu, Quan Liu, Zhiming Cui, Yuchen Fu

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009