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ORCID21st ICIC 2025: Ningbo, China - Part XXII
- De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXII. Lecture Notes in Computer Science 15863, Springer 2025, ISBN 978-981-95-0008-6
Neural Networks
- Junxiu Liu, Huazhi Liu, Qiang Fu, Yuling Luo, Sheng Qin, Xiwen Luo, Yeqing Xiong:
Event Data Classification Using TPE-Based Deep Spiking Neural Networks. 3-14 - Qiuqian Long, Xintao Zhuo, Zhenyu Zhang, Qingzhen Xu:
TIINet: A Three-Stage Interactive Integration Network for RGB-D Salient Object Detection. 15-26 - Yudi Wang, Yifan Lu, Bailing Zhang, Kexuan Zhou:
Dynamic Semantic Graph Learning with Progressive Alignment for Image-Text Matching. 27-38 - Shumin Tan, Yuexian Zou:
MGTDGraph: Multi-granularity Graph Attention Networks for Multivariate Long-Term Time Series Forecasting. 39-49 - Lei Shi, Yilei Mei, Caixia Meng, Yucheng Shi, Yufei Gao, Lin Wei:
Topology-Aware Discriminative Graph Convolutional Network for Skeleton-Based Action Recognition. 50-61 - Xiangwen Wang, Xun Li, Li Zou, Xianghong Lin:
Online Delay Learning Algorithm for Feedforward Spiking Neural Networks Based on Spike Train Kernels. 62-73 - Huijiao Wang, Zhuoyang Cai, Chuanyu Liao, Biao Li:
Energy-Constrained UAV Network Topology Recovery Based on Graph Convolutional Networks. 74-85 - Xingxin Guo, Zhihui Lai, Heng Kong, Xiaoling Luo:
UBDet: An Unsupervised Breast Tumor Detection Framework with Boundary-Aware Enhancement. 86-97 - Fuxian Zhu, Xiaoli Xu:
Bidirectional Interactive Prompt Fusion and Noise Filtering for Multimodal Aspect-Based Sentiment Analysis. 98-109 - Yuqian Wang, Xuefu Xiang, Yongcun Wu, Peng Quan, Yunzhi Luo, Lu Zhang:
AMTerrain: Research on Arbitrary-Modal Terrain Segmentation Based on Text Guidance. 110-121 - Yan Chen, Dawen Xia, Yang Hu, Wenyong Zhang, Fuchu Zhang:
Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic Flow Prediction. 122-133 - Xinxin Zhou, Chunying Xie, Yucai Li, Chunzhen Li:
EMDC-YOLO: A Residual Multi-scale Attention and Cross-Scale Fusion-Based Method for Pedestrian Detection in Crowded Scenes. 134-146 - Hongfu Liu, Hongyu Fu, Bin Li, Cheng Sun, Shenghong Li, Chenglin Zhao:
A Novel Lightweight YOLO Method for Satellite Remote Sensing via Matrix Decomposition. 147-158 - Wei Wei, Yibing Wang, Bingkun Zhang, Xiaodong Duan:
TSMDM-Net: A Speech Emotion Recognition Model Based on Multi-scale Time Series Dynamic Modeling. 159-170 - Yizhuo Wang, Xiaohu Luo, Hongli Ding, Zhao Ma, Jing Zhu:
Research on Contrastive Learning-Based Knowledge Distillation for Deep Graph Neural Networks. 171-184 - Zhouhua Shi, Shiwen Sun, Guang Yang, Yan Liu:
Two-View Fusion Graph Neural Networks for Graph Classification. 185-196 - Yili Wang, Kaiqi Wang, Chengsheng Yuan:
MambaForDIF: Distance-Importance Features and Long-Range Dependencies for Enhancing Aspect-Based Sentiment Analysis. 197-208 - Xing Wu, Yan Wang, Quan Qian, Bin Huang, Jun Song:
FedCWE: Federated Cluster-Based Weight Sampling and Ensemble Learning for Non-IID Data. 209-218 - Ziqi Wang, Yongquan Fu, Huayou Su:
ORE: An Offline Redundancy Elimination System for GNN Acceleration. 219-230 - Wei Chen, JiaHui Sun, QingFeng Xia:
Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network. 231-242 - Chunbo Yang, Hailin Liu:
SCAUnet: Symmetric Cross-Attention U-net Model for Semantic Segementation. 243-254 - Qianli Ma, Xiao Zhang, Junqi Liu, Zongyang Li:
Self-attention Multiscale Mixed Propagation Network Based on Contrastive Augmentation. 255-266 - Jingshan Yan, Ao Li, Longwei Xu, Pengwei Wang:
Sentiment Perception from Tokens: A Multitask Learning Framework with Entropy-Driven Fusion. 267-278 - Hao Pan, Lei Chen, Yangxun Ou:
GCLCP: Graph Contrastive Learning with Convolutional Perturbation for Recommendation. 279-290 - Guowei Xu, Weiting Zhao, Yuhui Bie, Mingliang Ge, Zekun Cui, Yaojun Wang:
Agro-LLaVA-Next: A Large Multimodal Model for Plant Diseases Recognization. 291-302 - Haoyang Li, Jiaying Chen, Wanlong Jiang, Zhongrui Zhu:
LTL-GCL:A More Efficient Layer-to-Layer Graph Contrastive Learning Method for Recommender System. 303-313 - Yingyu Li, Huahu Xu:
IMVGCN: Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting. 314-325 - Teng Li, Liu Yang, Aoyu Zhu, Jinhong Li:
An Inverse Cavity Scattering Inversion Method Based on Adaptive Neural Fuzzy Inference System. 326-337 - Ting Yang, Jinxue Zhao, Xinyu Lei, Hongyu Huang, Nankun Mu, Xu Zhou, Mahabubur Rahman Miraj:
Entity Backdoor Attacks Against Fine-Tuned Models. 338-349 - Jingyan Zhou, Zhilong Shan, Zhengyang Wu, Xiaoyong Hu, Su Mu:
Knowledge Graph Denoising with Dual Contrast for Recommendation. 350-361 - Jiazhan Gao, Deqi Huang, Jinlai Zhang, Eksan Firkat, Chao Liu, Jihong Zhu:
DDformer: Deepfake Detection with Multimodal Fusion Transformer. 362-373 - Fengqian Pang, Yunjian He, Yingying Kang, Yuming Xia, Qian Li, Ruiyi Xu, Zhiqiang Xing:
Improved Transfer Learning Based on Increased Model Capacity and Weight Re-initialization for ResNet. 374-386 - Wenze Liu, Xingang Wang:
BEVboost: Research on 3D Object Detection Method for Roadside Based on Multi-feature Fusion. 387-398 - Ziqi Feng, Yi OuYang, Xiaogang Xu:
ARG-Net: Gaze Estimation Based on Adversarial Learning and Learnable Networks. 399-410 - You Wu, An Liu:
GNN Advanced Heuristics Algorithm for Solving Multi-depot Vehicle Problem. 411-422 - Gaobo Zhang, Wenhan Long, Xinlong Wen, Weijing Da, Rongbo Zhu:
MSDBNet: A Multi-scale and Dual-Branch Network for Cross-Domain Person Re-identification. 423-434 - Haoran Wang, Yan Yang, Yingli Zhong:
Global and Local Feature Enhancement for Short Video Fake News Detection. 435-446 - Xiubo Liang, Shuwei Liu, Hongzhi Wang, Qifei Zhang, Bin Zhao:
SpikingRM: Efficient Scheduling Algorithm Based on Spiking Neural Network and Deep Reinforcement Learning. 447-458 - Yiqing Li, Ke Xu:
Infrared Multi-Scale Target Detection Based on Improved YOLOv11 and Spatiotemporal Features. 459-470 - Xiaowei Liu, Qingxiang Wang, Xiumei Wei, Hu Liang:
Hierarchical Attention-Driven Dynamic Graph Neural Networks for Accurate Supply Chain Demand Forecasting. 471-483 - Zhihao Zhang, Jinghua Yan, Xingyu Fu, Taiyao Zhang, Zhou Zhou:
DHCBR: Evaluating the Influence of Supply Chain Complex Network Nodes Based on ResNet. 484-497 - Wenyan Luo, Zhaohui Guo, Qiang Liu:
An Efficient DNN Training Method with Progressive Pruning. 498-509 - Fuyang Li, Liang Xiao, Dawei Zhao, Qi Zhu, Yiming Nie, Bin Dai:
TPKD: Teacher-Pruned Knowledge Distillation for Point Cloud-Based 3D Object Detection. 510-521 - Hanwen Gong, Chen Yan, Yinxing Xue, Yan Guo:
Network Protocol Security Evaluation via LLM-Enhanced Fuzzing in Extended ProFuzzBench. 522-533
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