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Subject-specific CNN model with parameter-based transfer learning for SSVEP detection Journal article
Ji, Zhouyu, Xu, Tao, Chen, Chuangquan, Yin, Haojun, Wan, Feng, Wang, Hongtao. Subject-specific CNN model with parameter-based transfer learning for SSVEP detection[J]. Biomedical Signal Processing and Control, 2025, 103, 107404.
Authors:  Ji, Zhouyu;  Xu, Tao;  Chen, Chuangquan;  Yin, Haojun;  Wan, Feng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.9/4.9 | Submit date：2025/01/22
Brain–computer Interface  Deep Learning  Electroencephalogram (Eeg)  Transfer Learning  Steady-state Visual Evoked Potential (Ssvep)  
A fully value distributional deep reinforcement learning framework for multi-agent cooperation Journal article
Fu, Mingsheng, Huang, Liwei, Li, Fan, Qu, Hong, Xu, Chengzhong. A fully value distributional deep reinforcement learning framework for multi-agent cooperation[J]. Neural Networks, 2025, 184.
Authors:  Fu, Mingsheng;  Huang, Liwei;  Li, Fan;  Qu, Hong;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Deep Reinforcement Learning  Multi-agent Cooperation  Distributional Reinforcement Learning  Neural Networks  
Joint Optimization of Compression, Transmission and Computation for Cooperative Perception Aided Intelligent Vehicular Networks Journal article
Lu, Binbin, Huang, Xumin, Wu, Yuan, Qian, Liping, Zhou, Sheng, Niyato, Dusit. Joint Optimization of Compression, Transmission and Computation for Cooperative Perception Aided Intelligent Vehicular Networks[J]. IEEE Transactions on Vehicular Technology, 2025.
Authors:  Lu, Binbin;  Huang, Xumin;  Wu, Yuan;  Qian, Liping;  Zhou, Sheng; et al.
Favorite | TC[Scopus]:0  IF:6.1/6.5 | Submit date：2025/01/22
Cooperative Perception  Deep Reinforcement Learning  Task Offloading  Vehicular Networks  
Multi-timescale Reward-based DRL Energy Management for Regenerative Braking Energy Storage System Journal article
Chen, Junyu, Zhao, Yue, Wang, Minghao, Yang, Kai, Ge, Yinbo, Wang, Ke, Lin, Hongjian, Pan, Pengyu, Hu, Haitao, He, Zhengyou, Xu, Zhao. Multi-timescale Reward-based DRL Energy Management for Regenerative Braking Energy Storage System[J]. IEEE Transactions on Transportation Electrification, 2025.
Authors:  Chen, Junyu;  Zhao, Yue;  Wang, Minghao;  Yang, Kai;  Ge, Yinbo; et al.
Favorite | TC[Scopus]:0  IF:7.2/7.9 | Submit date：2025/01/22
Deep Reinforcement Learning  Energy Management  Energy Storage System  Railway Power System  Regenerative Braking Energy  
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options Journal article
Zhuang, Jirong, Ding, Deng, Lu, Weiguo, Wu, Xuan, Yuan, Gangnan. A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options[J]. Computational Economics, 2025.
Authors:  Zhuang, Jirong;  Ding, Deng;  Lu, Weiguo;  Wu, Xuan;  Yuan, Gangnan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.9/1.8 | Submit date：2025/01/22
Deep Kernel Learning  Gaussian Process  High-dimensional American Option  Machine Learning  Regression Based Monte Carlo Method  
Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning Journal article
Peipei Yu, Hongcai Zhang, Zechun Hu, Yonghua Song. Voltage control of distribution grid with district cooling systems based on scenario-classified reinforcement learning[J]. Applied Energy, 2025, 377(B), 124415.
Authors:  Peipei Yu;  Hongcai Zhang;  Zechun Hu;  Yonghua Song
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:10.1/10.4 | Submit date：2024/10/17
Voltage Control  District Cooling System  Transient Stability  Deep Reinforcement Learning  Renewable Energy  Distributed Network  Power Quality Improvement  
Enhancing explainability in medical image classification and analyzing osteonecrosis X-ray images using shadow learner system Journal article
Wu, Yaoyang, Fong, Simon, Liu, Liansheng. Enhancing explainability in medical image classification and analyzing osteonecrosis X-ray images using shadow learner system[J]. Applied Intelligence, 2025, 55(2), 137.
Authors:  Wu, Yaoyang;  Fong, Simon;  Liu, Liansheng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.9 | Submit date：2025/01/22
Deep Learning  ExplAinable Ai  Neural Network  Computer-aid-diagnosis (Cad)  Medical Image Classification  Osteonecrosis  
Deep learning-based low count whole-body positron emission tomography denoising incorporating computed tomography priors Journal article
Peng, Zhengyu, Zhang, Fanwei, Jiang, Han, Liu, Guichao, Sun, Jingzhang, Du, Yu, Lu, Zhonglin, Wang, Ying, Mok, Greta S.P.. Deep learning-based low count whole-body positron emission tomography denoising incorporating computed tomography priors[J]. Quantitative Imaging in Medicine and Surgery, 2024, 14(12), 8140-8154.
Authors:  Peng, Zhengyu;  Zhang, Fanwei;  Jiang, Han;  Liu, Guichao;  Sun, Jingzhang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/3.2 | Submit date：2024/12/26
Conditional Generative Adversarial Network  Deep Learning (Dl)  Denoising  Positron Emission Tomography/computed Tomography (Pet/ct)  U-net  
A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming Journal article
Bi Suzhi, Chen Haoguo, Li Xian, Wang Shuoyao, Wu Yuan, Qian Liping. A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming[J]. IEEE Transactions on Mobile Computing, 2024, 23(12), 14313-14329.
Authors:  Bi Suzhi;  Chen Haoguo;  Li Xian;  Wang Shuoyao;  Wu Yuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:7.7/6.5 | Submit date：2024/08/26
Adaptive Streaming  Multi-access Edge Computing (Mec)  Quality Of Experience (Qoe)  Deep Reinforcement Learning  
Deep learning model for solar and wind energy forecasting considering Northwest China as an example Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:  Li, Pengyu;  Yang, Huiyu;  Wu, Han;  Wang, Yujia;  Su, Hao; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:6.0/5.6 | Submit date：2024/10/10
Attention-based Spatial-temporal Graph Neural Network  Deep Learning  Long Short-term Memory  Solar Energy  Wind Energy