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Seq2Set2Seq: A Two-stage Disentangled Method for Reply Keyword Generation in Social Media 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2024, 卷号: 23, 期号: 3, 页码: 20
作者:  Liu, Jie;  Li, Yaguang;  He, Shizhu;  Wu, Shun;  Liu, Kang;  Liu, Shenping;  Wang, Jiong;  Zhang, Qing
收藏  |  浏览/下载：19/0  |  提交时间：2024/05/30
Social media reply  keyword prediction  text generation  multi-label classification  determinantal point processes  
Binary Similarity Few-Shot Object Detection With Modeling of Hard Negative Samples 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 4805-4818
作者:  Lu, Yue;  Chen, Xingyu;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：29/0  |  提交时间：2024/05/30
Few-shot learning  object detection  computer vision  deep learning  
Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
Adobe PDF(5090Kb)  |  收藏  |  浏览/下载：73/12  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：63/10  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 834-852
作者:  Liu, Qing-Bin;  He, Shi-Zhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
收藏  |  浏览/下载：50/0  |  提交时间：2024/02/22
end-to-end task-oriented dialogue  dialogue state tracking (DST)  unsupervised learning  reinforcement learning  
Graph meets probabilistic generation model: A new perspective for graph disentanglement 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:  Peng, Zouzhang;  Zheng, Shuai;  Zhu, Zhenfeng;  Liu, Zhizhe;  Cheng, Jian;  Dong, Honghui;  Zhao, Yao
收藏  |  浏览/下载：77/0  |  提交时间：2024/02/22
Graph representation learning  Graph disentanglement  Probabilistic generation model  
Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 6, 页码: 489
作者:  Fan, Xuqing;  Deng, Sai;  Wu, Zhengxing;  Fan, Junfeng;  Zhou, Chao
Adobe PDF(5062Kb)  |  收藏  |  浏览/下载：117/6  |  提交时间：2023/12/21
image fusion  lightweight AlexNet  particle swarm optimization  fault diagnosis  robotic fish  
Large sequence models for sequential decision-making: a survey 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2023, 卷号: 17, 期号: 6, 页码: 18
作者:  Wen, Muning;  Lin, Runji;  Wang, Hanjing;  Yang, Yaodong;  Wen, Ying;  Mai, Luo;  Wang, Jun;  Zhang, Haifeng;  Zhang, Weinan
Adobe PDF(1351Kb)  |  收藏  |  浏览/下载：133/1  |  提交时间：2023/11/17
sequential decision-making  sequence modeling  the Transformer  training system  
A Hierarchical Architecture for Multisymptom Assessment of Early Parkinson's Disease via Wearable Sensors 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1553-1563
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Yanfeng;  Tan, Ying;  Hao, Honglin
Adobe PDF(1912Kb)  |  收藏  |  浏览/下载：272/7  |  提交时间：2023/03/20
Diseases  Machine learning  Hidden Markov models  Accelerometers  Monitoring  Gyroscopes  Parkinson's disease  Wearable computing  Sensor systems  multilevel fusion  multisymptom assessment  Parkinson's disease (PD)  wearable sensor system  
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载：244/55  |  提交时间：2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability