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ORCID21st ICIC 2025: Ningbo, China - Part XX
- De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XX. Lecture Notes in Computer Science 15861, Springer 2025, ISBN 978-981-96-9817-2
Computational Intelligence Models for Smart Cities
- Yong Jin, Kaijian Xia, Khin Wee Lai:
Deep Reinforcement Learning Enabled Incentive Mechanism of Electric Vehicles for Renewable Energy Power Transmission. 3-15 - Wenqian Xue, Pengjiang Qian, Kaining Liu, Chuang Wang
:
MUDSS-FER: Maximal Data Utilization for Facial Expression Recognition Using Semi-supervised Learning. 16-27 - Chengcheng Sun, Aiguo Chen, Yuheng Peng, Jie Zhong:
AGDBNet: Attention-Guided Dual-Branch Network for Real-Time Semantic Segmentation. 28-39 - Yuheng Peng, Aiguo Chen, Chengcheng Sun, Jie Zhong:
MedFLM: Medical Visual Question Answering Based on Fine-Tuned Large Language Model. 40-51 - Xiangmin Meng, Jie Zhang, Jiapeng Liu:
Determinants of Student Entrepreneurship: A Semi-Supervised Fuzzy C-Means Clustering Model. 52-64 - Jie Zhang, Pengjiang Qian, Shuchun Li, Chuang Wang:
DConvUNeXt: Leveraging Deformable Convolution and Attention Mechanism for Precise Irregular Lesion Segmentation. 65-76 - Lu Wang, Yi Gu, Kaining Liu:
An Untrained Single Shot Image Reconstruction Deep Neural Network for Compressive Sensing. 77-89 - Zhe Wang, Chengcheng Li:
Chinese Character Stroke Extraction Combining Prior Knowledge and Skip Connections. 90-99 - Sunwei Li, Jiacheng Yang, Shuai Ma, Tao Chen, Zhou Zhou, Pengjiang Qian, Wei Fang:
Strip-Shape Kernel Cross Attention Leveraged PCB Defect Detection in High-Resolution Cases. 100-111 - Lu Zhao, Anqi Bi, Yi Zhou:
Fast and Super-Resolution Reconstruction of Swept-Source Optical Coherence Tomography via a Non-iteration ${{\varvec{L}}}_{1/2}$ Norm. 112-123 - Jingrui Xu, Cheng-Le Qu, Zheng-Yue Song:
SAMGW: Structure-Preserving Mask and Gradient Learning for Complex Image Denoising. 124-136 - Lu Zhao, Anqi Bi:
Emotion Recognition of EEG - Facial Expression Based on Multimodal Fusion. 137-146 - Yong Jin, Jianxiao Yin, Hualong Bian:
Charging Scheduling via Deep Reinforcement Learning: An Incentive Mechanism for Drone-Assisted WRSNs. 147-158
Knowledge Discovery and Data Mining
- Sheng Lu, Mingxi Ge, Jiuyi Zhang, Wanli Zhu, Guanjin Li, Fangming Gu:
Filtering with Time-Frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform. 161-173 - Xian Yang, Yahui Zhao, Zhenguo Zhang:
CRGNet: Learning Causal Relationships for Multivariate Time Series Forecasting. 174-186 - Yuru Liu, Yong Xu, Cheng Li, Chuang Shi, Qun Fang:
Knowledge-Enhanced Conversational Recommendation via Multi-view Graph Contrastive Learning. 187-198 - Dan Wang, Yang Du, He Huang, Yu-E Sun, Guoju Gao:
Multiscale Sketch: Finding Heavy Spread Changes in High-Speed Networks Over Sliding Windows. 199-210 - Chuanlei Zhang, Yinglun Dong, Yu Zhang, Jianrong Li, Haifeng Fan, Di Sun, Hui Ma:
LSGNSF: A Graph-Based Time Series Anomaly Detection Algorithm. 211-223 - Liming Lin, Peng Yang, Xiaoye Wang:
Graph Generation and Multi-graph Fusion Contrastive Learning for Recommendation. 224-235 - Hongwei Wu, Jin Pan, Rong Yang, Hong Zhang, Guang Shi, Zhuojun Jiang, Qingyun Liu:
PAWS: Passive Concept Drift Adaptation Based on Instance Weighting and Subspace Alignment in Data Stream. 236-247 - Cheng Deng, Bing Kong, Lihua Zhou, Hongmei Chen:
Affinity Matrix Guided Multiple Contrastive Learning for Incomplete Multi-View Clustering. 248-259 - Mingjie Yu, Jiong Yu:
Multi-scale Contrastive Learning with Feature Fusion for Graph Anomaly Detection. 260-272 - Changjian Li, Yang Song, Aiping Li:
GRAG-ZRE: Graph Retrieval-Augmented Generation for Zero-Shot Relation Extraction in Domain-Sensitive Scenarios. 273-285 - Tao Zheng, Jijun Tong, Jianguo Wu:
Comparative Analysis of Interpretable Algorithms for Tuberculous Pleural Effusion Detection: From Model Optimization to Web-Based Clinical Deployment. 286-297 - Weikang Ding, Jijun Tong, Qingli Zhou, Meizhen Tong, Zhihuan Zhang:
GPMC: Leveraging Conditional Layer Normalization and Adversarial Learning for Enhanced Medical Relation Extraction. 298-309 - Jijun Tong, Xingyu Yu, Bihua Yao, Jianguo Wu:
DAMSA: A Methodology for Synthetic Data Generation and Its Applications. 310-321 - Yicheng Liu, Jijun Tong, Shudong Xia, Yiran Wang:
Multimodal Dynamic ECG Fusion for Early Atrial Fibrillation Detection Using Transformer-Based Analysis. 322-332 - Xiaoyu Zheng, Jin Zhou, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu:
Expanded Feature for Deep Embedding Clustering. 333-342 - Xinyu Han, Jin Zhou, Shiyuan Han, Tao Du, Cheng Yang, Bowen Liu:
Incomplete Data Clustering Based on Multiple Imputation and Autoencoders. 343-352 - Jianlong Yao, Shuyue Fu, Jie Huang, Bin Yang:
FT-Transformer: A Novel Model for Identifying Diabetes-Related Drug Candidates. 353-362 - Hui Cao, Yuanyuan Wang, Tingwei Wang:
Skeleton-Based Action Recognition via Dynamic-Static Partitioning and Cross-Attention Fusion. 363-374 - Haoran Shan, Liangliang Zhang, Fengyang Sun, Yingqi Li, Lin Wang, Pan Zhang, Wenwei Wang, Bo Yang:
NEEP-RLAO: Neural Encoded Expression Programming with Reinforcement Learning-Assisted Optimization. 375-387 - Xiangtian Zheng, Yuehui Chen, Yi Cao, Yaou Zhao, Dong Wang:
Disentanglement via Adaptive Information Bottleneck in Latent Dimensions. 388-399 - Jie Tian, Xinying Ji:
Enhancing Personalized Federated Learning with Incentive Mechanisms: A Synergistic Integration of Shapley Value and GAN for Robust and Secure Collaboration. 400-411
Reinforcement Learning
- Qiang Han, Xiwen Wang, Lifang Wang, Wei Guo, Kaixin Jin, Xiaoqing Yu:
Mamba in Mamba: Offline Reinforcement Learning via Sequence Modeling with Inner and Outer Selective State Spaces. 415-426 - Haobin Zhang, Chen Wang:
Negative Momentum-Based Policy Gradient for Reinforcement Learning. 427-437 - Fuzheng Guo, Qianjin Li:
Variance-Controlled Diffusion SAC for Multi-UAV Coordination in Low-Altitude Environments. 438-448 - Bin Gu, Quanjin Wang, Hanlin Zhu, Bingqian Chen, Shuo Feng, Shupan Li:
Improve QMIX from CBS Intervention Guide and Curiosity Mechanism for Multi-Agent Path Finding. 449-460 - Zhentang Liao, Meng Li, Zhongxue Gan, Lihua Zhang, Zhiyan Dong:
Think4CPP: Reinforcement Learning by Thinking with Latent World Model for Safe Coverage Path Planning. 461-479 - Wenyu Zheng, Zhihua Li:
A Distributed Task Offloading Optimization Model and Algorithm with Privacy Protection. 480-496 - Weilong Guo, Wei Fan, Liang Lu, Feng Tian, Lei Zhang:
Research on Model-Free Reinforcement Learning Strategies for Airline Dynamic Pricing. 497-508 - Ruming He, Junran Xie, Penghui Shang, Yifan Hong, Ke Liu, Deng Cai:
Hybrid State Representation with Attention and Collision Time Prediction for Autonomous Vehicle Decision-Making at Unsignalized Intersections. 509-521 - Yanshu Shuai, Jiaoling Zheng, Xingyu Fan, Haoquan Wang, Yu Zeng, Peng Guo:
Large-Scale Vehicle Navigation Preference Generation Based on Dual Deep Reinforcement Learning. 522-534
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