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ORCID20th ICIC 2024: Tianjin, China - Part II (LNAI)
- De-Shuang Huang, Chuanlei Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II (LNAI). Lecture Notes in Computer Science 14876, Springer 2024, ISBN 978-981-97-5665-0
Intelligent Data Analysis and Prediction
- Jun Yin, Bo Li
:
Long-Short-Term Expert Attention Neural Networks for Traffic Flow Prediction. 3-14 - Wenguang Chai, Lei Chen, Qingfeng Luo:
Capturing Dynamic Dependencies and Temporal Fluctuations for Traffic Flow Forecasting. 15-26 - Xuelin Cheng, Haozheng Yang, Botao Wu, Xu Zou, Xince Chen, Runjie Zhao:
IFTNet: Interpolation Frequency- and Time-Domain Network for Long-Term Time Series Forecasting. 27-40 - Xuelin Cheng, Xince Chen, Botao Wu, Xu Zou, Haozheng Yang, Runjie Zhao:
UNetPlusTS: Decomposition-Mixing UNet++ Architecture for Long-Term Time Series Forecasting. 41-52 - Hong Li, Jianjun Li, Huazhong Jin, Zixuan Chen, Wei Zou:
Combining Multi-granularity Text Semantics with Graph Relational Semantics for Question Retrieval in CQA. 53-64 - Zhenda Yu, Haotian Wang, Zerui Li, Kun Li, Dawei Ma, Wenjun Lv:
Frequency Enhanced Carbon Dioxide Emissions Forecasting Model with Missing Values Encoding. 65-76 - Xingtong Pan, Xiaoyang Wang, Miaolin Yang, Yixiang Deng, Binyang Wang, Yunlin Sun:
Short-Term PV Output Forecasting Approach Based on Deep Learning and Singular Spectrum Analysis. 77-89 - Cheng Zhao, Xing Hu, Xiaozhong Bao:
Enhancing Stock Similarity Analysis with Phase-Embedded Multivariate Similarity Measure. 90-101 - Zhipeng Gao, Yang Zhou, Ze Chai:
Enhancing Federated Learning: A Novel Approach of Shapley Value Computation in Smart Contract. 102-112 - Tiantian Liu, Xin You, Ming Ma:
CPMA: Spatio-Temporal Network Prediction Model Based on Convolutional Parallel Multi-head Self-attention. 113-124 - Yuxin Tian, Qiliang Zhang, Xiaomeng Li:
Attention Based Multi-scale Spatial-temporal Fusion Propagation Graph Network for Traffic Flow Prediction. 125-136 - Can Lin, Xiaoyang Han, Zengyi Yu, Jiaxin Du:
Integrating Social and Knowledge Graphs with Time Decay Mechanisms. 137-149 - Haoyong Li, Qifei Zhang, Wenjuan Li, Xiubo Liang:
Multi-modal Quality Prediction Algorithm Based on Anomalous Energy Tracking Attention. 150-162 - Jing Wang, Jiang Wang, Jianli Ding:
Hybrid Convolution Based Online Multivariate Time Series Forecasting Algorithm. 163-174 - Yongfeng Su, Juhui Zhang, Qiuyue Li:
Daformer: A Novel Dimension-Augmented Transformer Framework for Multivariate Time Series Forecasting. 175-187 - Xintian Niu, Yige ng Liu, Ming Ma:
A Transformer-Based Model for Time Series Prediction of Remote Sensing Data. 188-200 - Dingwei Zhu, Weiyi Miao, Shuting Cheng, Chao Fan:
A Multi-scale Indicators Carbon Emission Prediction Method Based on Decision Forests. 201-210 - Ming Mao, Duo Zhang, Chao Xia, Yunchuan Guo, Dunmin Zhang, Xiaolin Li:
GD-PTCF: Prompt-Tuning Based Classification Framework for Government Data. 211-224 - Yiying Zhang, Ke Liu, Yanping Dong, Siwei Li, Wenjing Li:
R-CAE-Informer Based Short-Term Load Forecasting by Enhancing Feature in Smart Grids. 225-234 - Pengcheng Zhu, Wei Chen, Dufeng Chen, Jueting Liu, Zemeng Liu, Yingchun Liu, Guoyuan Lin:
An Efficient Query System for Coal Mine Safety Information Based on Retrieval-Augmented Language Model. 235-243
Machine Learning
- Hao Zhu, Zhixiao Wang, Jiajun Tong:
A Text-Syntax Fusion Coreference Resolution Framework for Conversational System. 247-257 - Xinyu Cui, Chunkai Zhang:
Generating Time Series by Using Latent Space. 258-268 - Yuxiao Wang, Ding Zhu, Juan Liu:
A Multi-scale Multivariate Time Series Classification Method Based on Bag of Patterns. 269-280 - Jiameng Cheng, Chenhao Zhang, Hongwei Zhang, Cong Wang, Jinsong Wang:
A Full-Lifecycle Malicious Code Detection Scheme Based on RASP and Random Forest. 281-293 - Minghao Li, Jinhong Li, Xuxiang Ta, Yanbo Bai, Xinzhe Hao:
Multi-scale Spatio-temporal Attention Network for Traffic Flow Prediction. 294-305 - Jianfu Li, Dan Zhang, Sihua Gao, Weifeng Xu:
A Mixed Hypergraph Convolutional Network for Session-Based Recommendation. 306-317 - Yong Zhang, Jiongcheng Zhu, Li Jiang, Da Liu, Wenzhe Liu:
Multi-view Bipartite Graph Clustering with Collaborative Regularization. 318-329 - Guoyu Zhang, Jingrui Liu, Wenhao Bi, Guangcheng Dongye, Li Zhang, Ming Jing, Jiguo Yu:
NVCGAN: Leveraging Generative Adversarial Networks for Robust Voice Conversion. 330-342 - Chenjunhao Shi, Jin Li, Jianzhi Zhuang, Xi Yao, Yisong Huang, Yang-Geng Fu:
HopMAE: Self-supervised Graph Masked Auto-Encoders from a Hop Perspective. 343-355 - Junling Shi, Qingming Yang, Liang Zhao, Peiyu Cong, Yuanguo Bi, Ammar Hawbani:
Energy-Efficient UAV-Enabled Wireless Power Transfer for Real-Time Charging Requirements. 356-367 - Zhilin Liu, Qun Yang, Jianjian Zou:
Lowering Costs and Increasing Benefits Through the Ensemble of LLMs and Machine Learning Models. 368-379 - Zekai Feng, Hong Jia, Mengke Li:
Long-Tailed Recognition Based on Self-attention Mechanism. 380-391 - Huanhuan Ge:
Extending Knowledge Distillation for Personalized Federation. 392-403 - Jiehao Chen, Heng Zhao:
Dynamic Weight Distribution Method of Loss Function Based on Category Theory. 404-415 - Fei Wang, Yangjie Cao, Zhenqiang Li, Jie Li:
Learning Reconstruction Models of Textured 3D Mesh Using StyleGAN2. 416-427 - Ruohan Wang, Fangping Chen, Changyu Guan, Cong Xue, Xiang Ji, Wang Li:
Learning from Multiple Noisy Annotations via Trustable Data Mixture. 428-437 - Yang Li, Kan Li:
Federated Learning for Assigning Weights to Clients on Long-Tailed Data. 438-449 - Qiang Yang, Chen Zhang, Na Bu, Zhenghui Yan, Tong Ye, Yicong Li, Cong Tian, Chuanlei Zhang:
TensorRT Acceleration and SuperGlue Feature Matching in SFM: Performance Improvement and Dense 3D Reconstruction. 450-459 - Ming Gao, Zhitao Geng, Jingjing Pan, Zhenghui Yan, Chen Zhang, Gongcheng Shi, Haifeng Fan, Chuanlei Zhang:
SuperPoint and SuperGlue-Based-VINS-Fusion Model. 460-469 - Lin Sun, Jiaqi Guo, Xuejiao Wu, Jiucheng Xu:
Feature Selection via Label Enhancement and Weighted Neighborhood Mutual Information for Multilabel Data. 470-480 - Yarui Chen, Qixiu Wu, Lianlong Sun, Shiwei Wu, Mengchen Zhang, Bingqi Wang, Tingting Zhao:
LDCM-MVIT: A Lightweight Depth Completion Model Based on MViT. 481-489
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