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ORCID21st ICIC 2025: Ningbo, China - Part XXI
- De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part XXI. Lecture Notes in Computer Science 15862, Springer 2025, ISBN 978-981-95-0005-5
Neural Networks
- Longhao Zhang, Bo Li:
Domain Attention and Confidence-Aware Unsupervised Domain Adaptation Network. 3-12 - Chengyi Tang, Wen Huang, Peiyu Yi, Ran Zhu, Yujun He, Jian Peng:
Enhanced Spatio-Temporal Extended Pattern Diffusion Network for Traffic Flow Forecasting. 13-24 - Shuqiang Guo, Wenzhi Ping:
Research on Digital 3D Reconstruction of Cultural Relics Using Depth Diffusion Gaussian Splatting. 25-36 - Xuhao Pan, Chunshi Wang, Bin Zhao, Huaji Wang:
Improve Self-supervision Learning by Enhancing Invariant Information. 37-49 - Linagwei Li, Jingfei Jiang, Jinwei Xu, Shunan Zhou, Minghua Zhu:
FQuant: Fast Quantization with Adaptive Resolution via the Clustering Algorithm. 50-61 - Yanan Guo, Xiaoqun Cao, Mengge Zhou:
Solving Seismic Wave Propagation Using an Adaptive Collocation Point-Based Physics-Informed Neural Network. 62-73 - Meiling Liu, Yameng Zhen, Jiyun Zhou, Jingfeng Zhang:
Improving Story Visualization via Attribute Encoding and Adaptive Attention. 74-85 - Meiling Liu, Wenlong Chen, Longchang Liang, Jiyun Zhou:
Text Generation Image Model Based on Gated Convolution Attention Generation Adversarial Network. 86-98 - Kaiyue Zhang, Yongjiang Xue
, Ling Du, Qingzeng Song:
EFF-ViT: A Vision Transformer with Feature Enhancement and Fusion for Fine-Grained Visual Classification. 99-110 - Wenda Fu, Zuqiang Meng, Chaohong Tan:
Concept-Based Reasoning Explanation for Deep Neural Networks: Drawing on Human Decision-Making. 111-122 - Lu Liu:
OOD Generalization of GNNs Through Causal Stabilization Learning. 123-135 - Jiacheng Zhong, Xinguo Zhang, Bingxue Zhang, Jiasong Wu:
BiGuidedPrompt: Dynamic Bidirectional Guided Multimodal Prompt Learning. 136-148 - Jianli Ding, Peiyao Song, Jing Wang:
Flight Arrival Delay Prediction Based on Bidirectional Temporal Convolutional Networks. 149-160 - Quanrun Song, Lin Wang, Changtong Ding, Yu Zhao, Yalong Liu, Shichao Geng:
Multi-granularity Filter Pruning for Deep Neural Network Compression. 161-173 - Sibo Zhang, Bihui Yu, Lili Zhou, Gang Wang, Jingxuan Wei, Linzhuang Sun, Liping Bu:
EEGTCT: Electroencephalogram-Based Chinese Text Decoding. 174-185 - Qianli Ma, Zongyang Li, Junqi Liu, Xuekui Zhang:
Decoupled Graph Neural Networks with Hybrid Data Augmentation. 186-197 - Liangyu Lu, Chengju Zhou:
Non-invasive Emotion Perception from Gait by Sparse and Spatial-Temporal Excitation Based Graph Convolutional Network. 198-209 - Kairui Shi, Yuzhe Huang, Huahu Xu:
Resource-Constrained Scheduling in Containerized Edge Computing Using Graph Transformer-Enhanced DQN. 210-220 - Ziqi Wang, Yongquan Fu, Huayou Su:
REAMP: A Redundancy Elimination System for AMP-GNN Acceleration. 221-231 - Wenqing Feng, Xiumei Wei, Qi Wang, Yan Liu, Xuesong Jiang:
AGD-Net: An Attention-Guided Network for Joint Background Suppression and Defect-Aware Detail Enhancement. 232-243 - Dongqi Wang, Ruiguo Hu, Dongming Chen, Zeyu Lv, Jie Wang:
Guarding Graph Neural Networks Against Backdoor Attacks-A Training Loss Dynamics Approach. 244-255 - Qi Wang, Xiumei Wei, Wenqing Feng, Haifeng Ding, Xuesong Jiang:
Dual-Resolution Segmentation Network Utilizing Multi-Scale Features for Metal Defect Detection. 256-267 - Zewei Pan, Linsen Li:
Robust Multiview Point Cloud Registration with Reliable Sparse Graph and Adaptive Reweighting. 268-280 - Heng Yu, Yafu Li, Wu Zhuang:
Keyphrase Generation Based on the Fusion of Sequence and Word Graph Features. 281-292 - Wenxiao Wan, Yang Hua, Wenjie Zhang, Yuhan Cai, Xiaoning Song:
Decoupled Dual-Path Diffusion: Precise Spatial-Semantic Modeling for Human-Object Interaction Generation. 293-304 - Jingyi Guo, Pengfei Duan, Chenghu Du, Shengwu Xiong:
Enhancing Virtual Try-On with Text-Image Fusion Guidance. 305-315 - Yujiang Liu, Wenjian Luo, Zhijian Chen, Muhammad Luqman Naseem:
Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples. 316-330 - Hele Zhu, Xinyi Huang, Haojia Gao, Mengfei Jiang, Haohua Que, Lei Mu:
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition. 331-341 - Jiahao Shan, An Liu:
Unsupervised Learning for Solving the Graph Edit Distance. 342-353 - Wenqi Zhao, Xiumei Wei, Qinghong Meng, Guangyuan Yu, Xuesong Jiang:
MCE: One-Shot Method to Relation Extraction Based on LLMs. 354-365 - Xi Li, Mingquan Xie, ChengXie, Jing Bi:
Device Anomaly Sound Detection Based on Unsupervised Adversarial Distillation Domain Adaptation. 366-377 - Yongjun Xiao, Pei He, Hanpu Deng, Tonglan Xie, Mengmeng Jing, Lin Zuo:
Multi-bit Mechanism: Towards Ultra-Low Time Steps for Spiking Neural Networks. 378-389 - Zhongyang Wen, Jinwen Ma:
FB-SAM: An Effective Learning Framework for First Break Picking Based on the SAM Model with Limited Data. 390-401 - Chunpeng Li, Ya-tang Li:
Feature Visualization in 3D Convolutional Neural Networks. 402-412 - Xiaoyang Wang, Zhenyu Yang, Xueli Chang, Ziyu Chen, Haozhi Xia:
Multi-Dimensional Spatiotemporal Modeling for Multimodal Emotion Recognition in Conversations. 413-424 - Jiqing Wang, Nianping Qin, Yao Zhou:
Multi-Scale Periodic Residual State Space Model for Time Series Forecasting. 425-436 - Kun Yao, Yufang Zhang, Xu Zhao, Ming Ma:
YOLO-MAOD: An Algorithm for Ground Object Detection in Open-Pit Mine Based on Remote Sensing Images. 437-448 - Xingkai Yao, Zhongqiu Chen, Zongxing Zhao, Xiaofang Zhang:
SimMix: Enhancing Label Consistency in Graph Mixup for Improved Graph Classification. 449-460 - Yafang Li, Xiaohan Li, Baokai Zu, Caiyan Jia:
GUIDE: Learnable Deep Contrastive Graph Clustering with Centrality Guidance. 461-473 - Xuesong Wu, Yibin Tian, Zhi Zeng:
LEFF-YOLO: A Lightweight Cherry Tomato Detection YOLOv8 Network with Enhanced Feature Fusion. 474-488 - Jun Long, Zidong Wang, Tingxuan Chen, Liu Yang:
Hierarchical Text Graph Learning for Inductive Text Classification. 489-500 - Yan Gan, Yujuan Tan, Jiayi Guo, Yujiao Wang, Zongjie Wang, Duo Liu, Ao Ren, Kan Zhong, Chaoxia Qin, Mingrui Qiang:
Co-GNN: A Co-optimization Framework for Memory and Computation in Sampling-Based GNN Training. 501-513 - Nanjian Zhou, Fan Wu, Zhizhuo Liu, Chaonong Xu:
FGSMS: Fine-Grained SM Scheduling for Efficient Deep Learning Computing. 514-524 - Guolin Zhang, Yongsheng Wang, Delong Zhang:
Spatiotemporal PM10 Concentration Forecasting via Residual Attention Fusion and Mixture-of-Experts Enhanced Graph Neural Network. 525-535
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