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ORCIDQiming Fu 0001
Person information
- affiliation: Suzhou University of Science and Technology, School of Electronic and Information Engineering, China
- affiliation: Suzhou University of Science and Technology, Jiangsu Province Key Laboratory of Intelligent Building Energy Efficiency, China
- affiliation (PhD 2014): Soochow University, School of Computer Science and Technology, Jiangsu, China
Other persons with the same name
- Qiming Fu 0002
![[0000-0002-3257-6544]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3257-6544")
— Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China - Qiming Fu 0003 — Beihang University, Image Processing Center, Beijing, China
- Qiming Fu 0004 — Gansu University of Political Science and Law, School of Cyber Security, Lanzhou, China
- Qiming Fu 0005 — North China Institute of Aerospace Engineering, Langfang, China
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2020 – today
- 2024
[j38]Xueyang Zhou, Qiming Fu, Youbing Xia, Yunzhe Wang, You Lu, Yanming Chen, Jianping Chen:
LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature. IEEE J. Biomed. Health Informatics 28(4): 2314-2325 (2024)- 2023
- [j37]Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong:
Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control. Appl. Intell. 53(18): 20917-20937 (2023) - [j36]Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu:
DNA protein binding recognition based on lifelong learning. Comput. Biol. Medicine 164: 107094 (2023) - [j35]Qiming Fu, Zhechao Wang, Nengwei Fang, Bin Xing, Xiao Zhang, Jianping Chen:
MAML2: meta reinforcement learning via meta-learning for task categories. Frontiers Comput. Sci. 17(4): 174325 (2023) - [j34]Zhechao Wang, Qiming Fu, Jianping Chen, Yunzhe Wang, You Lu, Hongjie Wu:
Reinforcement Learning in Few-Shot Scenarios: A Survey. J. Grid Comput. 21(2): 30 (2023) - [j33]You Lu, Yuhao Chen, Xiao Xu, Qiming Fu, Jianping Chen, Lanhui Liu:
A Sub-flow Adaptive Multipath Routing Algorithm for Data Centre Network. Int. J. Comput. Intell. Syst. 16(1): 25 (2023) - [j32]Xueyang Zhou, Qiming Fu, Jianping Chen, Lanhui Liu, Yunzhe Wang, You Lu, Hongjie Wu:
Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network. J. Biomed. Informatics 144: 104445 (2023) - [j31]Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong:
Generalized gradient emphasis learning for off-policy evaluation and control with function approximation. Neural Comput. Appl. 35(32): 23599-23616 (2023) - [c23]Ben Xu, Jiacheng Sun, Yunzhe Wang, Qiming Fu, You Lu:
An Intelligent Action Decision Algorithm for Exoskeleton in Edge Networks Environment based on Deep Reinforcement Learning. CBD 2023: 51-56 - 2022
- [j30]Zhengkai Ding, Qiming Fu, Jianping Chen, Hong-Jie Wu, You Lu, Fuyuan Hu:
Energy-efficient control of thermal comfort in multi-zone residential HVAC via reinforcement learning. Connect. Sci. 34(1): 2364-2394 (2022) - [j29]Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu:
G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3126-3134 (2022) - [c22]Zhe Zhang, Yuhao Chen, Huixue Wang, Yunzhe Wang, Qiming Fu, You Lu:
A Multivariate Time Series Anomaly Detection Model Based on Graph Attention Mechanism in Energy Consumption of Intelligent Buildings. CBD 2022: 122-127 - [c21]Yuhao Chen, Yunzhe Wang, Zhe Zhang, Qiming Fu, Huixue Wang, You Lu:
Deep Reinforcement Learning for Task Scheduling in Intelligent Building Edge Network. CBD 2022: 312-317 - [c20]Zhongtian Hu, Jun Yan, Yuli Wang, Changsong Yang, Qiming Fu, Weizhong Lu, Hongjie Wu:
Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function. ICIC (3) 2022: 234-241 - [c19]Kaile Du, Fan Lyu, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu, Qiming Fu:
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition. ICME 2022: 1-6 - [i3]Kaile Du, Fan Lyu, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu, Qiming Fu:
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition. CoRR abs/2203.05534 (2022) - 2021
- [j28]Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li:
Research on RNA secondary structure predicting via bidirectional recurrent neural network. BMC Bioinform. 22-S(3): 431 (2021) - [j27]Qiming Fu, Shuai Ma, Dawei Tian, Jianping Chen, Zhen Gao, Shan Zhong:
A novel double-mGBDT-based Q-learning. Int. J. Model. Identif. Control. 37(3/4): 232-239 (2021) - [j26]Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong:
Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. Inf. Sci. 580: 311-330 (2021) - [j25]Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li:
Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1752-1762 (2021) - [j24]Shan Zhong, Meng Wei, Shengrong Gong, Kaijian Xia, Yuchen Fu, Qiming Fu, Hongsheng Yin:
Behavior Prediction for Unmanned Driving Based on Dual Fusions of Feature and Decision. IEEE Trans. Intell. Transp. Syst. 22(6): 3687-3696 (2021) - [c18]Xiao Xu, You Lu, Qiming Fu:
Applying Graph Neural Network in Deep Reinforcement Learning to Optimize Wireless Network Routing. CBD 2021: 218-223 - [c17]Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu:
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. ICIC (3) 2021: 222-230 - [c16]Shixuan Guan, Tengsheng Jiang, Weizhong Lu, Qiming Fu, Haiou Li, Hongjie Wu:
DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion. ICIC (3) 2021: 627-633 - [c15]Zhengkai Ding, Qiming Fu, Jianping Chen, Hongjie Wu, You Lu, Fuyuan Hu:
Multi-zone Residential HVAC Control with Satisfying Occupants' Thermal Comfort Requirements and Saving Energy via Reinforcement Learning. PDCAT 2021: 441-451 - 2020
- [j23]Shan Zhong, Wenhao Ying, Xuemei Chen, Qiming Fu:
An Adaptive Similarity-Measuring-Based CMAB Model for Recommendation System. IEEE Access 8: 42550-42561 (2020) - [j22]Yan Ding, Xuemei Chen, Qiming Fu, Shan Zhong:
A Depression Recognition Method for College Students Using Deep Integrated Support Vector Algorithm. IEEE Access 8: 75616-75629 (2020) - [j21]Qiming Fu, QingSong Liu, Zhen Gao, Hongjie Wu, Baochuan Fu, Jianping Chen:
A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning. Int. J. Pattern Recognit. Artif. Intell. 34(10): 2052005:1-2052005:18 (2020) - [j20]Shan Zhong, Qiming Fu, Kaijian Xia, Shengrong Gong, Yufeng Yao:
Online model-learning algorithm from samples and trajectories. J. Ambient Intell. Humaniz. Comput. 11(2): 527-537 (2020) - [j19]You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen:
Cloud data acquisition and processing model based on blockchain. J. Intell. Fuzzy Syst. 39(4): 5027-5036 (2020) - [c14]Tengsheng Jiang, Hongjie Wu, Yuhui Chen, Haiou Li, Jin Qiu, Weizhong Lu, Qiming Fu:
Prediction of Membrane Protein Interaction Based on Deep Residual Learning. ICIC (2) 2020: 103-108 - [i2]Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. CoRR abs/2012.13662 (2020)
2010 – 2019
- 2019
- [j18]Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li:
Ranking near-native candidate protein structures via random forest classification. BMC Bioinform. 20-S(25): 683 (2019) - [j17]Weizhong Lu, Ye Tang, Hongjie Wu, Hongmei Huang, Qiming Fu, Jing Qiu, Haiou Li:
Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter. BMC Bioinform. 20-S(25): 684 (2019) - [j16]Hongjie Wu, Ru Yang, Qiming Fu, Jianping Chen, Weizhong Lu, Haiou Li:
Research on predicting 2D-HP protein folding using reinforcement learning with full state space. BMC Bioinform. 20-S(25): 685 (2019) - [j15]Qiming Fu, Wen Hu, Quan Liu, Heng Luo, Lingyao Hu, Jianping Chen:
Residual Sarsa algorithm with function approximation. Clust. Comput. 22(Suppl 1): 795-807 (2019) - [j14]Zihan Ye, Fan Lyu, Linyan Li, Yu Sun, Qiming Fu, Fuyuan Hu:
Unsupervised Object Transfiguration with Attention. Cogn. Comput. 11(6): 869-878 (2019) - [j13]Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu:
Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. Frontiers Comput. Sci. 13(1): 106-126 (2019) - [j12]Qiming Fu, Yiyi Kang, Zhen Gao, Hongjie Wu, Fuyuan Hu, Jianping Chen, Shan Zhong:
Multi-threading parallel reinforcement learning. Int. J. Comput. Appl. Technol. 61(4): 278-286 (2019) - [j11]You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen, Encen Zou, Baochuan Fu:
A policy conflict detection mechanism for multi-controller software-defined networks. Int. J. Distributed Sens. Networks 15(5) (2019) - [j10]Qiming Fu, Zhengxia Yang, You Lu, Hongjie Wu, Fuyuan Hu, Jianping Chen:
Variational Bayesian Exploration-Based Active Sarsa Algorithm. Int. J. Pattern Recognit. Artif. Intell. 33(10): 1951005:1-1951005:18 (2019) - [j9]Jianping Chen, Feng Zou, Quan Liu, Hongjie Wu, Fuyuan Hu, Qiming Fu:
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). 计算机科学 46(10): 265-272 (2019) - [c13]Huajing Ling, Hongjie Wu, Jiayan Han, Jiwen Ding, Weizhong Lu, Qiming Fu:
Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs. ICIC (2) 2019: 170-176 - [c12]Zihan Ye, Fan Lyu, Linyan Li, Qiming Fu, Jinchang Ren, Fuyuan Hu:
SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning. ICME 2019: 85-90 - [i1]Zihan Ye, Fan Lyu, Linyan Li, Qiming Fu, Jinchang Ren, Fuyuan Hu:
SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning. CoRR abs/1904.06996 (2019) - 2018
- [j8]Qiming Fu, Quan Liu, Shan Zhong, Heng Luo, Hongjie Wu, Jianping Chen:
Single Trajectory Learning: Exploration Versus Exploitation. Int. J. Pattern Recognit. Artif. Intell. 32(6): 1859009:1-1859009:18 (2018) - [j7]Qiming Fu, Lingyao Hu, Hongjie Wu, Fuyuan Hu, Wen Hu, Jianping Chen:
A Sarsa-based adaptive controller for building energy conservation. J. Comput. Methods Sci. Eng. 18(2): 329-338 (2018) - [j6]Hongjie Wu, Kaihui Bian, Qiming Fu, Cheng Chen, Xiaokang Ye, Jianping Chen:
A study on multi-dimension error compensation and application to the foundation pit monitoring. J. Comput. Methods Sci. Eng. 18(4): 847-857 (2018) - [c11]Zihan Ye, Fan Lyu, Jinchang Ren, Yu Sun, Qiming Fu, Fuyuan Hu:
DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit. BICS 2018: 120-129 - [c10]Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen:
Optimizing HP Model Using Reinforcement Learning. ICIC (2) 2018: 383-388 - [c9]Hongjie Wu, Ye Tang, Weizhong Lu, Cheng Chen, Hongmei Huang, Qiming Fu:
RNA Secondary Structure Prediction Based on Long Short-Term Memory Model. ICIC (1) 2018: 595-599 - [c8]Hongjie Wu, Cheng Chen, Weisheng Liu, Ru Yang, Qiming Fu, Baochuan Fu, Dadong Dai:
Prediction of Indoor PM2.5 Index Using Genetic Neural Network Model. ICIC (1) 2018: 703-707 - [c7]Hongjie Wu, Dadong Dai, Huaxiang Shen, Ru Yang, Weizhong Lu, Qiming Fu:
Optimizing GPCR Two-Dimensional Topology from Contact Map. ICIC (3) 2018: 740-745 - [c6]Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. ISC2 2018: 1-7 - 2017
- [c5]Shan Zhong, Quan Liu, Shengrong Gong, Qiming Fu, Jin Xu:
Efficient actor-critic algorithm with dual piecewise model learning. SSCI 2017: 1-8 - 2016
- [j5]Shan Zhong, Quan Liu, Qi-ming Fu:
Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning. Comput. Intell. Neurosci. 2016: 4824072:1-4824072:15 (2016) - [j4]Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu:
Reasoning and predicting POMDP planning complexity via covering numbers. Frontiers Comput. Sci. 10(4): 726-740 (2016) - 2015
- [c4]Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang:
Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. AAMAS 2015: 1685-1686 - [c3]Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu:
A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. ICONIP (1) 2015: 108-116 - 2013
- [j3]Quan Liu, Qi-ming Fu, Fei Xiao, Yuchen Fu:
A Gradient Descent Sarsa(λ) Algorithm Based on the Adaptive Reward-shaping Mechanism. Intell. Autom. Soft Comput. 19(4): 599-612 (2013) - [c2]Qi-ming Fu, Quan Liu, Fei Xiao, Guixin Chen:
The second order temporal difference error for Sarsa(λ). ADPRL 2013: 60-68 - 2011
- [j2]Xiaoyan Wang, Quan Liu, Qi-ming Fu, Le Zhang:
Double elite co-evolutionary genetic algorithm. Int. J. Comput. Sci. Eng. 6(1/2): 67-75 (2011) - [j1]Qi-ming Fu, Quan Liu, Xiaoyan Wang, Le Zhang:
Relevance feedback techniques and genetic algorithm for image retrieval based on multiple features. Int. J. Model. Identif. Control. 14(4): 279-285 (2011)
2000 – 2009
- 2009
- [c1]Qi-ming Fu, Quan Liu, Zhiming Cui, Yuchen Fu:
A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward. CSIE (5) 2009: 534-538
Coauthor Index
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