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Contrastive Correlation Preserving Replay for Online Continual Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 124-139
作者:  Yu, Da;  Zhang, Mingyi;  Li, Mantian;  Zha, Fusheng;  Zhang, Junge;  Sun, Lining;  Huang, Kaiqi
收藏  |  浏览/下载：12/0  |  提交时间：2024/03/26
Task analysis  Correlation  Knowledge transfer  Training  Memory management  Data models  Mutual information  Continual learning  catastrophic forgetting  class-incremental learning  experience replay  
Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 12, 页码: 4696-4705
作者:  Ye, Peijun;  Qi, Hao;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：14/0  |  提交时间：2024/03/26
Safe driving  reinforcement learning  counter factual reasoning  evolutionary search  
Subband fusion of complex spectrogram for fake speech detection 期刊论文
SPEECH COMMUNICATION, 2023, 卷号: 155, 页码: 8
作者:  Fan, Cunhang;  Xue, Jun;  Dong, Shunbo;  Ding, Mingming;  Yi, Jiangyan;  Li, Jinpeng;  Lv, Zhao
收藏  |  浏览/下载：8/0  |  提交时间：2024/03/26
Automatic speaker verification  Complex spectrogram  Fake speech detection  Phase information  Subband  
Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 页码: 13
作者:  Wang, Lexing;  Qiu, Tenghai;  Pu, Zhiqiang;  Yi, Jianqiang;  Zhu, Jinying;  Yuan, Wanmai
收藏  |  浏览/下载：45/0  |  提交时间：2024/03/13
Coalition formation  hedonic games  heterogeneous agents  Nash stable  task allocation  
VLP2MSA: Expanding vision-language pre-training to multimodal sentiment analysis 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 9
作者:  Yi, Guofeng;  Fan, Cunhang;  Zhu, Kang;  Lv, Zhao;  Liang, Shan;  Wen, Zhengqi;  Pei, Guanxiong;  Li, Taihao;  Tao, Jianhua
收藏  |  浏览/下载：59/0  |  提交时间：2024/02/22
Multimodal sentiment analysis  Vision-language  Multimodal fusion  
In-vivo verified anatomically aware deep learning for real-time electric field simulation 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2023, 卷号: 20, 期号: 6, 页码: 17
作者:  Ma, Liang;  Zhong, Gangliang;  Yang, Zhengyi;  Lu, Xuefeng;  Fan, Lingzhong;  Liu, Hao;  Chu, Congying;  Xiong, Hui;  Jiang, Tianzi
收藏  |  浏览/下载：55/0  |  提交时间：2024/02/22
electric field  transcranial magnetic stimulation  coil placement  deep learning  in-vivo verification  
3D deployment of UAV-mounted base stations for heterogeneous access requirements 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 143, 页码: 15
作者:  Ai, Xiaolin;  Pu, Zhiqiang;  Chai, Xinghua;  Lei, Jinlin;  Yi, Jianqiang
收藏  |  浏览/下载：19/0  |  提交时间：2024/02/22
Three-dimensional (3D) deployment  Multi-UAV-mounted base stations (BSs)  Non-uniform quality of service (QoS)  requirements  Obstacle avoidance  
Peer Incentive Reinforcement Learning for Cooperative Multiagent Games 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 15, 期号: 4, 页码: 623-636
作者:  Zhang, Tianle;  Liu, Zhen;  Pu, Zhiqiang;  Yi, Jianqiang
收藏  |  浏览/下载：19/0  |  提交时间：2024/02/22
Cooperative multiagent games  intrinsic reward  multiagent reinforcement learning (MARL)  Starcraft II Micromanagement  
Appointed-Time Control for Flexible Hypersonic Vehicles with Conditional Disturbance Negation 期刊论文
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 卷号: 59, 期号: 5, 页码: 6327-6345
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Chang, Yafei;  Ding, Shihong;  Yi, Jianqiang
收藏  |  浏览/下载：18/0  |  提交时间：2024/02/22
Vehicle dynamics  Convergence  Control systems  Aerodynamics  Closed loop systems  Actuators  Mathematical models  Appointed-time control  conditional disturbance negation  hypersonic vehicle  input saturation  prescribed performance control  
Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 15, 期号: 4, 页码: 648-657
作者:  Liu, Boyin;  Pu, Zhiqiang;  Zhang, Tianle;  Wang, Huimu;  Yi, Jianqiang;  Mi, Jiachen
收藏  |  浏览/下载：22/0  |  提交时间：2024/02/22
Deformable convolution  football analysis  pitch control  reinforcement learning