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ORCID7th DMBD 2022: Beijing, China
- Ying Tan
, Yuhui Shi:
Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part I. Communications in Computer and Information Science 1744, Springer 2022, ISBN 978-981-19-9296-4
Deep Reinforcement Learning Approach
- Jiali Chen, Kai Jiang, Rupeng Liang, Jing Wang, Shaoqiu Zheng, Ying Tan:
Heterogeneous Multi-unit Control with Curriculum Learning for Multi-agent Reinforcement Learning. 3-16 - Yanxue Xiong, Zhigang Wang, Liangjun Ke:
A Deep Reinforcement Learning Approach for Cooperative Target Defense. 17-26 - Jianyu Duan, Yanxiao Guo, Zhigang Wang, Liangjun Ke:
Particle Swarm Based Reinforcement Learning. 27-36 - Yu Pan, Hongmei Li, Wei Li, Yi Liu, Xiang Li, Qibin Zheng, Wei Qin:
User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning in Data Center. 37-49 - Yu Zhang, Shijia Zhou, Ning Guo, Tengfei Li, Xuechao Zou, Pin Tao:
SMPG: Adaptive Soft Update for Masked MADDPG. 50-61 - Renlong Chen, Ling Ye, Shaoqiu Zheng, Yabin Wang, Peng Cui, Ying Tan:
Attentive Relational State Representation for Intelligent Joint Operation Simulation. 62-74
Graph Neural Networks
- Shan Jiang, Qiang Wang, Chengjun Wang, Kun Liu, Shiqi Ning, Xinrun Xu:
Flow Prediction via Multi-view Spatial-Temporal Graph Neural Network. 77-92 - Yubin Ma, Yuxin Ding, Guangbin Wang:
RotatSAGE: A Scalable Knowledge Graph Embedding Model Based on Translation Assumptions and Graph Neural Networks. 93-104 - Li Liu, Chongyang Wang, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang:
Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning. 105-119 - Haoqing Ren, Bin Wu:
OLPGP: An Optimized Label Propagation-Based Distributed Graph Partitioning Algorithm. 120-133
Deep Neural Networks
- Qiaojun Wu, Yuan Li, Song Chen, Yi Kang:
DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection. 137-151 - Zeen Wang:
Emotion Recognition Based on Multi-scale Convolutional Neural Network. 152-164 - Jiwei Zhang, Lian Yang, Tianbo Ye, Jiaen Zhou, Wendong Wang, Ying Tan:
Pose Sequence Model Using the Encoder-Decoder Structure for 3D Pose Estimation. 165-177 - Zheng Wang, Jing Sun, Qingxiao Xu, Kun Liu:
Research and Analysis of Video-Based Human Pose Estimation. 178-191 - Lijing Tong, Jinzhi Feng, Huiqun Zhao, Kun Liu:
Action Recognition for Solo-Militant Based on ResNet and Rule Matching. 192-208 - Yuee Zhou, Haidong Kang, Tian Zhang, Lianbo Ma, TieJun Xing:
Multiple Residual Quantization of Pruning. 209-219
Clustering Methods
- Sun Li, Zihan Wang, Yong Li, Yang Yu, Wenbo Li, Hongliang Liu, Rong Song, Lei Zhu:
Deep Structured Graph Clustering Network. 223-239 - Wei Song, Ziqiao Wang:
Improved Clustering Strategies for Learning Style Identification in Massive Open Online Courses. 240-254 - Wei Wu, Haipeng Peng, Lixiang Li:
CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data. 255-270
Prediction Methods
- Xiaxia Zhang, Junjia Hu, Pengcheng Zhou, Guoyin Wang:
An Improved Multi-source Spatiotemporal Data Fusion Model Based on the Nearest Neighbor Grids for PM2.5 Concentration Interpolation and Prediction. 273-287 - Zhiyu Tian, Kang Zhou, Wangyang Shen, Weiping Jin, Qing Zhao, Guangbin Li:
Study on the Prediction of Rice Noodle Raw Material Index Content by Deep Feature Fusion. 288-304 - Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. 305-319 - Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang:
Multi-Cause Learning for Diagnosis Prediction. 320-332 - Enhao Liang, Yanfeng Wang, Lidong Wang, Xueke Zhao, Changkai Sun:
Prediction of Postoperative Survival Level of Esophageal Cancer Patients Based on Kaplan-Meier (K-M) Survival Analysis and Gray Wolf Optimization (GsWO)-BP Model. 333-349
Classification Methods
- Seyedfakhredin Musavishavazi, Maryam Alipour:
Possibilistic Reject-Classification Based on Contrastive Learning in Vector Quantization Networks. 353-366 - Mengmeng Li, Yi Liu, Qibin Zheng, Xiang Li, Wei Qin:
A Classification Method for Imbalanced Data Based on Ant Lion Optimizer. 367-382 - Yiming Sun, Zhiqiang Xie, Kun Fang, Enmei Tu, Jie Yang:
Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. 383-393 - Xiaobo Chen, Yuxiang Gao:
Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection. 394-407 - Tianhao Li, Najia Yin, Penghao Gao, Dengfeng Li, Wei Lu:
An Interpretable Conditional Augmentation Classification Approach for Imbalanced EHRs Mortality Prediction. 408-422 - Jian Xu, Xin Xu, Guoqing Ruan:
Combining Statistical and Semantic Features for Trajectory Point Classification. 423-431
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last updated on 2024-05-31 18:54 CEST by the dblp team
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