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ORCID21st ICIC 2025: Ningbo, China - Part VII
- De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part VII. Lecture Notes in Computer Science 15848, Springer 2025, ISBN 978-981-96-9874-5
Intelligent Data Analysis and Prediction
- Guangzhen Wang, Qing Yu:
MSFformer: Multi-scale Spatiotemporal Fusion Transformer with Preserving Non-stationary Information for Time Series Forecasting. 3-14 - Zhihao Liang, Ke Lin, Yunxiang Liu, Feiyang Wang, Xinran Wang, Yixin Zhao:
Quantifying the Impact of Coaching Effectiveness Based on the TEL Model. 15-25 - Xia Ji
, Yulong Ren, Mengqing Zhang, Zuhang Yang, Tianyu Wang, Jincheng Qian:
SSF-GCN: Sensor-Spatial Fusion Graph Network. 26-36 - Peilin Liu, Zhiyu Zhou, Fangming Gu, LuyangZhang, Yixing Song, Sheng Lu:
AW-SARIMA: Efficient Hybrid Framework for Nonstationary Time Series Forecasting via DWT and Adaptive Thresholding. 37-47 - Peihong Wang, Wei Chen, Zehua Wang, Tingting Xu, Jueting Liu:
Research on Intelligent Evaluation Model Based on Large Models. 48-58 - Jinxian Suo, Liping Zhang, Sheng Yan, Min Hou, Dongqi Wang:
Learner Empowered Knowledge Tracing Model. 59-70 - Kaiyang Fang, Bo Yang, Runyuan Sun, Zhifeng Liang, Ge Zhai:
A Few-Shot Intrusion Detection Method Combining Model-Agnostic Meta-Learning and Siamese Neural Network. 71-81 - Xin Chen, Sicheng Wang, Xiaolan Yang, Sheng Wang, Jerome Yen:
How to Use Social Media for Bitcoin Price Prediction: A Multi-Source Data Fusion Method Based on CSTNet. 82-94 - Sheng Yan, Dongqi Wang, Liping Zhang, Min Hou, Jinxian Suo:
CMulti-Feature Fusion Method for Programming Exercise Difficulty Assessment Using CodeBERT. 95-107 - Hongyun Ding, Shuohao Li, Hang Du, Jiaxin Yang, Zhong Yang, Jun Zhang:
Scene Graph-Based Semantic Enhancement for Multimodal Fake News Detection. 108-119 - Kaiqi Wu, Sen Zhang, Yubao Liu:
IDMixer: Decomposition Spatial-Temporal Identity for Traffic Flow Forecasting. 120-131 - Hao Ma, Liang Chen, Yifan Fan, Haimin Hong, Yiying Zhang:
A Self-Attentive Temporal-Spatial Anomaly Detection Method for IoT Time Series. 132-144 - Zhi Cheng, Yihong Dong:
Adaptive Cross-Variable Spectral Filtering for Time Series Forecasting. 145-156 - Xingyu Zhou, Shuhan Li, Changgui Xu:
Hybrid Car-Following Model with LSTM and RF in Driver Behavior. 157-168 - Yaohui Guo, Menglong Lu, Zhilong Lv, Jinhui Zhao, Ziwen Zhang, Zhen Huang, Dongsheng Li:
A Mixture-of-Experts Framework with Fake Review Detection for Robust Recommendation Systems. 169-180 - Jiahui Song, Yiting Jin, Xi Yang:
Multi-scale Dual-Path Transformer Network for Multivariate Time Series Forecasting. 181-193 - Chenxiao Jia, Shuai Wang, Yuhan Chen, Liangyu Chen:
BFKT: Enhancing Knowledge Tracing Based on Forgetting Mechanisms and Multi-feature Fusion. 194-205 - Bingke Fu, Xiaotao Wei, Minghao Li, Xuxiang Ta, Ruixue Niu, Zhijiao Tian:
Macro-micro Feature Aware Transformer for Dissolved Oxygen Prediction. 206-217 - Bin Tan, Yi Li, Rui Li, Wenyuan Wu, Mingquan Shi, Bolin Chen:
MTDTSN: Multi-scale Spatiotemporal Networks with Exogenous Factors for Bus Passenger Flow Prediction. 218-229 - Guangming Zi, Yujun Zhu, Meng Mei, Fang Wang, Xin He, Shuai Zhang, Yong Xu:
AMSformer: Adaptive Transformer with Convolutional Multi-scale Feature Interaction for Time Series Forecasting. 230-243 - Tianfan Jiang, Mei Wu, Wenchao Weng, Dewen Seng, Yiqian Lin:
A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting. 244-256 - Yuntian Hou, Di Zhang, Qiang Niu:
CycleKAN: Integrating Kolmogorov-Arnold Networks with Explicit Cycle Modeling for Efficient Urban Traffic Forecasting. 257-268 - Yanzhao Wang, Qing Xie, Mengzi Tang, Yuhan Wang, Jingling Yuan, Yongjian Liu:
Capability-Aware Knowledge Tracing for Learner's Knowledge Mastery Modeling. 269-280 - Wenwei Wang, Junteng Zheng, Xiaoyu Guo, Boyuan Yan:
AGTCN: An Adaptive Gating Approach in Spatiotemporal Convolutional Networks for Accurate Air Quality Prediction. 281-292 - Yiyang Li, Zhenghan Zhang, Hongwei Ye, Qijing Huang, Xinghua Li, Yuntao Guo:
TrafusionNet: Efficient Multi-agent Trajectory Prediction with Temporal-Social Perception Mamba and Diffusion Model. 293-304 - Ningyun Li, Ruiyu Wang, Yifei Luo, Lin Zhang, Haichen Xu, Yu Liu, Rui Luo, Hao Ji:
FedVCP: Efficient Crowd Flow Prediction Employing Multi-source External Factors in Vertical Federated Learning. 305-316 - Cunzhuo Lu, Yeheng Jin, Ziwei Zhang, Xiangyu Peng, Jing Chen:
Shareformer: A Patch Transformer Model with Shared Attention for Multivariate Time Series Forecasting. 317-328 - Haohang Huang, Xuan Lu:
A Novel Random Sample Partition-Based Ensemble Algorithm for Credit Card Fraud Detection. 329-340 - Mengyuan Song, Siwei Feng:
StarHAR: A Lightweight and Low-Latency Framework for Sensor-Based Human Activity Recognition. 341-352 - Shaoguo Cui, Sifan Zhao, Linfeng Gong, Wei Xia, Yulong Yang, Binbin Sang, Tiansong Li, Xiaoxin Chen:
Trend Prediction First, Personality Refinement After. KanPaTST: A KAN Fine-Tuned Patch Time Series Transformer for Public Opinion Popularity Forecasting. 353-365 - Kaixin Zhang, Han Bao, Yijie Wang, Xiaohui Zhou, Yizhou Li, Junhui Kan, Chongxiang Sun:
CEDMix: Contrast-Enhanced Dynamic Channel Mixing for Correlated Time Series Forecasting. 366-377 - Huobin Tan, Xuan Chen, Wanting Li, Biao Dong:
NuPreX: Times Series Forecasting for the Nuclear Steam Supply System. 378-390 - Jing Shen, Honghe Lang, Shengze Wang, Haibo Liu:
Frequency-Aware Robust Multimodal Fake News Detection. 391-402 - Shicheng Jiu, Jiong Yu, Shu Li, Lei Feng:
Sample Spatial Distribution and Diffusion Time Deviation Based Anomaly Detection Method. 403-414 - Peng Wang, Xiuqiao Xiang, Yishi Zhao, Jianga Shang:
Building Extraction from Remote Sensing Images Based on Dual-Stream Feature Fusion Network. 415-426 - Hang Liu, Lijuan Liu, Dahan Wang, Chaoqun Hong:
Multi-hop Aware Graph Convolutional Network and Collaborative Transformer for Traffic Flow Prediction. 427-438 - Zikang Dai, Hongmin Qin, Liming Jiang, Huanyu Wang:
Multi-step Traffic Flow Prediction Based on Reinforced Attention Graph Convolutional Network. 439-450 - Zhenduo Zhang, Xiao Han, Yiling Wu, Xinfeng Zhang, Qingming Huang:
CDFNet: Collaborative Decomposition and Forecasting Network for Time Series. 451-461 - Ning Xu, Jing Yu:
S3E-Net: Spatio-Temporal Selective State Expert Network for Traffic Flow Prediction. 462-473 - Weilin Tang, Jiwei Qin, Dezhi Sun, Ruofan Feng, Luwen Xu:
ECDformer: Enhanced Channel-Dependent Transformer for Multivariate Time Series Forecasting. 474-484 - Xin Bao, Yunchuan Guo, Xinyi Shi, Kui Geng, Wenlong Kou, Zifu Li:
Rule Generation for Anomalous Behaviors Detection in Enterprises: A Few-Shot Learning Approach via Chain-of-Thoughts. 485-496 - Tongzheng Zhu, Dongmei Niu, Jing Zhang, Junzheng Yang, Jiafu Zhao, Shufang Guo:
TVCorNet: Time-Variable Correlation Learning Enhancement Network for Multivariate Time Series Forecasting. 497-508 - Jin Li, Yanrong Hao, Xin Wen, Linliang Zhang, Jianbao Luo, Ruijie He, Rui Cao:
BiMa-Former: A Dual-Token Hybrid Model with Bidirectional Mamba and Transformer for Temporal- Multivariate Decoupled Forecasting. 509-521
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