A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward. - Qi-ming Fu 001; Quan Liu 004; Zhiming Cui; Yuchen Fu (CSIE (5), 2009)

Double elite co-evolutionary genetic algorithm. - Xiaoyan Wang; Quan Liu 004; Qi-ming Fu 001; Le Zhang (Int. J. Comput. Sci. Eng., 2011)

Relevance feedback techniques and genetic algorithm for image retrieval based on multiple features. - Qi-ming Fu 001; Quan Liu 004; Xiaoyan Wang; Le Zhang (Int. J. Model. Identif. Control., 2011)

The second order temporal difference error for Sarsa(λ). - Qi-ming Fu 001; Quan Liu 004; Fei Xiao; Guixin Chen (ADPRL, 2013)

A Gradient Descent Sarsa(λ) Algorithm Based on the Adaptive Reward-shaping Mechanism. - Quan Liu 004; Qi-ming Fu 001; Fei Xiao; Yuchen Fu (Intell. Autom. Soft Comput., 2013)

Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. - Yicheng Zhou; Quan Liu 004; Qi-ming Fu 001; Zongzhang Zhang (AAMAS, 2015)

A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. - Shuhua You; Quan Liu 004; Qi-ming Fu 001; Shan Zhong; Fei Zhu 003 (ICONIP (1), 2015)

Efficient Actor-Critic Algorithm with Hierarchical Model Learning and Planning. - Shan Zhong; Quan Liu 004; Qi-ming Fu 001 (Comput. Intell. Neurosci., 2016)

Reasoning and predicting POMDP planning complexity via covering numbers. - Zongzhang Zhang; Qi-ming Fu 001; Xiaofang Zhang; Quan Liu 004 (Frontiers Comput. Sci., 2016)

Efficient actor-critic algorithm with dual piecewise model learning. - Shan Zhong; Quan Liu 004; Shengrong Gong; Qiming Fu 001; Jin Xu (SSCI, 2017)

DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit. - Zihan Ye; Fan Lyu; Jinchang Ren; Yu Sun; Qiming Fu 001; Fuyuan Hu (BICS, 2018)

Prediction of Indoor PM2.5 Index Using Genetic Neural Network Model. - Hongjie Wu; Cheng Chen; Weisheng Liu; Ru Yang; Qiming Fu 001; Baochuan Fu; Dadong Dai (ICIC (1), 2018)

Optimizing GPCR Two-Dimensional Topology from Contact Map. - Hongjie Wu; Dadong Dai; Huaxiang Shen; Ru Yang; Weizhong Lu; Qiming Fu 001 (ICIC (3), 2018)

RNA Secondary Structure Prediction Based on Long Short-Term Memory Model. - Hongjie Wu; Ye Tang; Weizhong Lu; Cheng Chen; Hongmei Huang; Qiming Fu 001 (ICIC (1), 2018)

Optimizing HP Model Using Reinforcement Learning. - Ru Yang; Hongjie Wu; Qiming Fu 001; Tao Ding; Cheng Chen (ICIC (2), 2018)

Coarse to Fine: Multi-label Image Classification with Global/Local Attention. - Fan Lyu; Fuyuan Hu; Victor S. Sheng; Zhengtian Wu; Qiming Fu 001; Baochuan Fu (ISC2, 2018)

Single Trajectory Learning: Exploration Versus Exploitation. - Qiming Fu 001; Quan Liu 004; Shan Zhong; Heng Luo; Hongjie Wu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 2018)

A Sarsa-based adaptive controller for building energy conservation. - Qiming Fu 001; Lingyao Hu; Hongjie Wu; Fuyuan Hu; Wen Hu; Jianping Chen (J. Comput. Methods Sci. Eng., 2018)

A study on multi-dimension error compensation and application to the foundation pit monitoring. - Hongjie Wu; Kaihui Bian; Qiming Fu 001; Cheng Chen; Xiaokang Ye; Jianping Chen (J. Comput. Methods Sci. Eng., 2018)

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 001 (ICIC (2), 2019)

SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning. - Zihan Ye; Fan Lyu; Linyan Li; Qiming Fu 001; Jinchang Ren; Fuyuan Hu (ICME, 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 001; Jing Qiu; Haiou Li (BMC Bioinform., 2019)

Ranking near-native candidate protein structures via random forest classification. - Hongjie Wu; Hongmei Huang; Weizhong Lu; Qiming Fu 001; Yijie Ding; Jing Qiu; Haiou Li (BMC Bioinform., 2019)

Research on predicting 2D-HP protein folding using reinforcement learning with full state space. - Hongjie Wu; Ru Yang; Qiming Fu 001; Jianping Chen; Weizhong Lu; Haiou Li (BMC Bioinform., 2019)

Residual Sarsa algorithm with function approximation. - Qiming Fu 001; Wen Hu; Quan Liu 004; Heng Luo; Lingyao Hu; Jianping Chen (Clust. Comput., 2019)

Unsupervised Object Transfiguration with Attention. - Zihan Ye; Fan Lyu; Linyan Li; Yu Sun; Qiming Fu 001; Fuyuan Hu (Cogn. Comput., 2019)

Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. - Shan Zhong; Quan Liu 004; Zongzhang Zhang; Qiming Fu 001 (Frontiers Comput. Sci., 2019)

Multi-threading parallel reinforcement learning. - Qiming Fu 001; Yiyi Kang; Zhen Gao; Hongjie Wu; Fuyuan Hu; Jianping Chen; Shan Zhong (Int. J. Comput. Appl. Technol., 2019)

A policy conflict detection mechanism for multi-controller software-defined networks. - You Lu 004; Qiming Fu 001; Xuefeng Xi; Zhenping Chen; Encen Zou; Baochuan Fu (Int. J. Distributed Sens. Networks, 2019)

Variational Bayesian Exploration-Based Active Sarsa Algorithm. - Qiming Fu 001; Zhengxia Yang; You Lu 004; Hongjie Wu; Fuyuan Hu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 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 004; Hongjie Wu; Fuyuan Hu; Qiming Fu 001 (计算机科学, 2019)

Prediction of Membrane Protein Interaction Based on Deep Residual Learning. - Tengsheng Jiang; Hongjie Wu; Yuhui Chen; Haiou Li; Jin Qiu; Weizhong Lu; Qiming Fu 001 (ICIC (2), 2020)

A Depression Recognition Method for College Students Using Deep Integrated Support Vector Algorithm. - Yan Ding; Xuemei Chen; Qiming Fu 001; Shan Zhong (IEEE Access, 2020)

An Adaptive Similarity-Measuring-Based CMAB Model for Recommendation System. - Shan Zhong; Wenhao Ying; Xuemei Chen; Qiming Fu 001 (IEEE Access, 2020)

A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning. - Qiming Fu 001; QingSong Liu; Zhen Gao; Hongjie Wu; Baochuan Fu; Jianping Chen (Int. J. Pattern Recognit. Artif. Intell., 2020)

Online model-learning algorithm from samples and trajectories. - Shan Zhong; Qiming Fu 001; Kaijian Xia; Shengrong Gong; Yufeng Yao (J. Ambient Intell. Humaniz. Comput., 2020)

Cloud data acquisition and processing model based on blockchain. - You Lu 004; Qiming Fu 001; Xuefeng Xi; Zhenping Chen (J. Intell. Fuzzy Syst., 2020)

Applying Graph Neural Network in Deep Reinforcement Learning to Optimize Wireless Network Routing. - Xiao Xu; You Lu 004; Qiming Fu 001 (CBD, 2021)

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. - Linqian Cui; You Lu 004; Qiming Fu 001; Jiacheng Sun; Xiao Xu; Yijie Ding; Hongjie Wu (ICIC (3), 2021)

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion. - Shixuan Guan; Tengsheng Jiang; Weizhong Lu; Qiming Fu 001; Haiou Li; Hongjie Wu (ICIC (3), 2021)

Multi-zone Residential HVAC Control with Satisfying Occupants' Thermal Comfort Requirements and Saving Energy via Reinforcement Learning. - Zhengkai Ding; Qiming Fu 001; Jianping Chen; Hongjie Wu; You Lu 004; Fuyuan Hu (PDCAT, 2021)

Research on RNA secondary structure predicting via bidirectional recurrent neural network. - Weizhong Lu; Yan Cao; Hongjie Wu; Yijie Ding; Zhengwei Song; Yu Zhang 027; Qiming Fu 001; Haiou Li (BMC Bioinform., 2021)

A novel double-mGBDT-based Q-learning. - Qiming Fu 001; Shuai Ma; Dawei Tian; Jianping Chen; Zhen Gao; Shan Zhong (Int. J. Model. Identif. Control., 2021)

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. - Jiaqing Cao; Quan Liu 004; Fei Zhu 003; Qiming Fu 001; Shan Zhong (Inf. Sci., 2021)

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. - Hongjie Wu; Huajing Ling; Lei Gao; Qiming Fu 001; Weizhong Lu; Yijie Ding; Min Jiang 009; Haiou Li (IEEE ACM Trans. Comput. Biol. Bioinform., 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 001; Hongsheng Yin 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Deep Reinforcement Learning for Task Scheduling in Intelligent Building Edge Network. - Yuhao Chen; Yunzhe Wang; Zhe Zhang; Qiming Fu 001; Huixue Wang; You Lu 004 (CBD, 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 001; You Lu 004 (CBD, 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 001; Weizhong Lu; Hongjie Wu (ICIC (3), 2022)

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition. - Kaile Du; Fan Lyu; Fuyuan Hu; Linyan Li; Wei Feng 005; Fenglei Xu; Qiming Fu 001 (ICME, 2022)

Energy-efficient control of thermal comfort in multi-zone residential HVAC via reinforcement learning. - Zhengkai Ding; Qiming Fu 001; Jianping Chen; Hong-Jie Wu; You Lu 004; Fuyuan Hu (Connect. Sci., 2022)

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. - Tengsheng Jiang; Yuhui Chen; Shixuan Guan; Zhongtian Hu; Weizhong Lu; Qiming Fu 001; Yijie Ding; Haiou Li; Hongjie Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Intelligent Action Decision Algorithm for Exoskeleton in Edge Networks Environment based on Deep Reinforcement Learning. - Ben Xu; Jiacheng Sun; Yunzhe Wang; Qiming Fu 001; You Lu 004 (CBD, 2023)

Reinforcement Learning in Few-Shot Scenarios: A Survey. - Zhechao Wang; Qiming Fu 001; Jianping Chen; Yunzhe Wang; You Lu 004; Hongjie Wu (J. Grid Comput., 2023)

MAML2: meta reinforcement learning via meta-learning for task categories. - Qiming Fu 001; Zhechao Wang; Nengwei Fang; Bin Xing; Xiao Zhang; Jianping Chen (Frontiers Comput. Sci., 2023)

Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network. - Xueyang Zhou; Qiming Fu 001; Jianping Chen; Lanhui Liu; Yunzhe Wang; You Lu 004; Hongjie Wu (J. Biomed. Informatics, 2023)

Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control. - Jiaqing Cao; Quan Liu 004; Lan Wu; Qiming Fu 001; Shan Zhong (Appl. Intell., 2023)

DNA protein binding recognition based on lifelong learning. - Yongsan Liu; Shixuan Guan; Tengsheng Jiang; Qiming Fu 001; Jieming Ma; Zhiming Cui; Yijie Ding; Hongjie Wu (Comput. Biol. Medicine, 2023)

Generalized gradient emphasis learning for off-policy evaluation and control with function approximation. - Jiaqing Cao; Quan Liu 004; Lan Wu; Qiming Fu 001; Shan Zhong (Neural Comput. Appl., 2023)

A Sub-flow Adaptive Multipath Routing Algorithm for Data Centre Network. - You Lu 004; Yuhao Chen; Xiao Xu; Qiming Fu 001; Jianping Chen; Lanhui Liu (Int. J. Comput. Intell. Syst., 2023)

Document-level multiple relations extraction method via evidence guidance and relation correlation. - Hao Yang; Qiming Fu 001; You Lu 004; Yunzhe Wang; Lanhui Liu; Jianping Chen (Appl. Soft Comput., 2024)

Reinforced Metapath Optimization in Heterogeneous Information Networks for Drug-Target Interaction Prediction. - Ben Xu; Jianping Chen; Yunzhe Wang; Qiming Fu 001; You Lu 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature. - Xueyang Zhou; Qiming Fu 001; Youbing Xia; Yunzhe Wang; You Lu 004; Yanming Chen; Jianping Chen (IEEE J. Biomed. Health Informatics, 2024)

Graph neural network-based interactive clustering enhanced by human knowledge. - Yunzhe Wang; Yushi Li; Qiming Fu 001; Chengtao Ji; You Lu 004; Jianping Chen (Appl. Soft Comput., 2025)

ProAttUnet: Advancing protein secondary structure prediction with deep learning via U-Net dual-pathway feature fusion and ESM2 pretrained protein language model. - Long Cheng; Weizhong Lu; Yiyi Xia; Yiming Lu; Jiyun Shen; Zhiqiang Hui; Yixin Xu; Hongjie Wu; Jing Chen 036; Qiming Fu 001; You Lu 004 (Comput. Biol. Chem., 2025)

LinFa-Q: Accurate Q-learning with linear function approximation. - Zhechao Wang; Qiming Fu 001; Jianping Chen; Quan Liu 004; You Lu 004; Hongjie Wu; Fuyuan Hu (Neurocomputing, 2025)

GTD3-NET: A deep reinforcement learning-based routing optimization algorithm for wireless networks. - You Lu 004; Zhe Zhang; Xiao Xu; Lanhui Liu; Qiming Fu 001; Jianping Chen; Chen Chen (Peer Peer Netw. Appl., 2025)

TrGPCR: GPCR-Ligand Binding Affinity Prediction Based on Dynamic Deep Transfer Learning. - Yaoyao Lu; Runhua Zhang; Tengsheng Jiang; Qiming Fu 001; Zhiming Cui; Hongjie Wu (IEEE J. Biomed. Health Informatics, 2025)