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ORCID21st ICIC 2025: Ningbo, China - Part VIII
- 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 VIII. Lecture Notes in Computer Science 15849, Springer 2025, ISBN 978-981-96-9880-6
Knowledge Discovery and Data Mining
- Xiaoyu Kang, Zhixin Shi, Degang Sun, Tengfan Weng, Liyue Ren:
ProCom: Progressive Multi-modal Knowledge Graph Completion via Adaptive Function. 3-14 - Zhaozun Ou, Yijun Zhao, Jinfeng Wang, Xiaomei Chen:
Endogenous Group Relationship-Based Graph Contrastive Learning for Recommendation. 15-26 - Jing Wang, Jiaqi Ding, Jianli Ding:
Multivariate Time Series Prediction Model for Data with Missing. 27-38 - Qingyuan Li, Li Liu, Haodong Li, Xinyu Yang:
DISRec: Dual-Interest Sequential Recommendation with Temporal and Frequency Enhancement. 39-50 - Xuhan Zhou, Qitong Zhao, Wei Zhou, Junhao Wen:
Global-Local Collaborative Learning for Intent-Aware Sequential Recommendation. 51-62 - Yijing Song, Jianying Liu, Min Zhang, Xiao Qin
, Jifu Zhang:
Similarity Attribute-Based Categorical Attribute Grouping for Outlier Detecting. 63-74 - Jianying Liu, Yang Ma, Jifu Zhang:
A Relevant Subspace-Based Contextual Outlier Detection Using Chebyshev Coulomb Resultant Force. 75-86 - Jiyou Ma, Fei Chen, Fan Jiang, Hang Cheng, Meiqing Wang:
GraphMMC: Class-Balanced Pseudo-Labels Generation for Graph Node Classification. 87-98 - Haibo Liu, Wenlong Zheng, Lianjie Yu, Mingyu Zhao, Jinglian Liu:
Layer-Wise Attention Aggregation Based Cascading Fusion Model for Multi-behavior Recommendation. 99-110 - Xinyu Zheng, Yicun Liu, Xianguo Zhang:
DAHAE-MFFN: Dynamic Association Hypergraph Attention Enhanced Multimodal Feature Fusion Network. 111-122 - Chuang Shi, Yong Xu, Cheng Li, Yuru Liu, Qun Fang:
DAGR: DyHGSampler and AdaSGC-Based Knowledge Graph Diffusion for Recommendation. 123-134 - Qi Wang, Zhihong Xie, Yongping Zeng, Huan Zhang:
KA2Net: Kolmogorov-Arnold Attention Network for PCB Tiny Defect Detection. 135-146 - Jun Pang, Yuheng Guo, Xiaoli Lin, Mengxiang Wang:
Combining Improved Relational Embedding and Multi-Hop Sampling for Temporal Knowledge Graph Reasoning. 147-158 - Conghui Gao, Fengqi Hao, Jinqiang Bai, Yawen Hou, Qingyan Ding, Hoiio Kong:
TS-CPC: A Self-supervised Framework for Trajectory Similarity with Contrastive Predictive Coding and Enhanced Augmentation. 159-172 - Yuan Tian, Shi Ying, Tiangang Li:
DebiasParser: Debiasing LLM-Based Log Parsing via Front-Door Adjustment. 173-184 - Kai Zhao, Xilei Lu, Lining Wan, Li Zhang, Linlin Zhang, Qibo Wang, Miao He, Jinhao Gao:
A Knowledge Graph-Based Method for Hazardous Chemical Accident Prediction. 185-198 - Lu Li, Gongqing Wu:
VAE-GCN: Deep Graph Convolutional Network via Variational Autoencoder for Multivariable Time Series Classification. 199-210 - Fan Chu, Gongqing Wu:
Event Detection Based on Trigger Word Similarity Enhanced Sequence Injection Heterogeneous Graph Convolutional Network. 211-222 - Yang Liu, Feng Wu, Mark Xuefang Zhu:
Alleviating User-Sensitive Bias with Fair Generative Sequential Recommendation Model. 223-235 - Jingyuan Duan, Wangtao Zhou, Zhao Kang, Ke Yan:
Gradual Social Network Alignment with Relation Augmentation and Multi-view Embedding. 236-247 - Huacan Chai, Menghui Zhu, Jianghao Lin, Yunjia Xi, Weinan Zhang, Yong Yu:
An Efficient Approximation Framework for LLM-Enhanced Recommendation. 248-259 - Yunmeng Zhao, Li Lin, Ruihong Huang, Jiayin Lin:
Clustering-Based Enhancement for Fake User Profiles Generation in Recommender Systems. 260-272 - Yixiang Wang, Zhengyang Li, Zhenguo Zhang:
Event Sequence Prediction via Hybrid Mamba Hawkes Process. 273-284 - Yang Wu, Qingbo Hao, Xu Cheng, Yingyuan Xiao:
DIFCN: A Hybrid Network for Capturing Dynamic Interests and Feature Co-action in CTR Prediction. 285-296 - Xie Wu, Jie Luo, Yang Yu, Hongzhi Liu:
Learning to Rank for Multi-objective Compilation Optimization. 297-311 - Xukun Zhang, Zhaoyu Zhou, Yang Yu, Hongzhi Liu:
Collaborative Adaptive Metric Learning for Personalized Recommendation. 312-326 - Hao Liu, Ningsi Li, Sheng Liu, Lulu Liu:
Context-Aware Hierarchical Link Prediction for Multi-hop Knowledge Graph Reasoning. 327-338 - Jizhao Zhu, Xiaolin Lv, Xinlong Pan, Zhenqiu Zhu, Chunlong Fan:
Chinese Medical Named Entity Recognition Enhanced by Large Language Model. 339-349 - Yipu Chen, Jingkun Wang, Wen Zhao:
Improving LLM-Based Recommendation with Curriculum Prompt Learning and Cross-Model Semantic Alignment. 350-361 - Wenlong Liang, Simeng Zhang, Yahui Zhao, Zhenguo Zhang:
LLM4MTSC: LLM-Based Multivariate Time Series Classification via Temporal-Text Alignment. 362-373 - Yuqi Wang, Yangsen Zhang, Zixi Liu, Quantao Chen:
Large Language Model Reasoning Framework for Diabetes Prevention and Treatment via Personal Health Data. 374-385 - Xin-Wei Yao, YuXiang Wu, Chuan He, Qiang Li:
PF-GCL++: Parameter-Free Graph Contrastive Learning for Mitigating Oversmoothing in Recommender Systems. 386-397 - Qiwang Hu, Huanyuan Zhou, Sisi Gao, Wenjuan Zha, Ruonan Gu, Xue Chen:
Integrating Item Knowledge Graph Embedding for Domain-Level Zero-Shot Recommendation. 398-409 - Haoran Luo, Zengyi Yu, Gaochao Xu, Xiangjie Kong:
Diff-EISR: Diffusion Enhanced Intent Modeling for Sequential Recommendation. 410-420 - Ziyu Chen, Zhenyu Yang, Haozhi Xia, Xiaoyang Wang, Xueli Chang:
Debiased Sequential Recommendation via Multi-intent Disentanglement and Conformity-Aware Contrastive Learning. 421-432 - Qihong Pan, Hong Zheng, Zhenzhen Zhao, Guojiang Shen, Xiangjie Kong:
Plugging Small Models in Large Language Models for Time-Specific Next POI Recommendation. 433-444 - Ruixin Yuan, Ning Li, Qiantai Peng, Hengrun Zhang, HuiQun Yu, Guisheng Fan:
SelectDataset: Enabling Dataset Exploration Through Enriched Descriptive Metadata and Hierarchical Model-Based Application Topic Classification. 445-457 - Yiming Liu, Wei Li, Ran Ran, Yongqi Wang, Tao Xu, Jun Tao:
Multi-task Driven ResNet-Transformer Framework for Wind Power Forecasting with Dynamic Mode Decomposition Correction. 458-467 - Linglong Xiong, Shaoguo Cui, Mingyang Wang, Song Xu:
Difficult Questions Test True Level: A KAN-Based Difficulty-Aware Knowledge Tracing. 468-479 - Saisai Hu, Ji Zhang, Zhao Li, Liang Liao, Yuquan Gan, Rage Uday Kiran:
HAMAMBA: Hierarchical Adaptive Mixtures of Attention with Mamba for Robust Time Series Anomaly Detection. 480-491 - Ruming He, Ke Liu, Penghui Shang, Yifan Hong, Deng Cai:
DSMRec: Dual-Spectrum Mamba Based Model for Sequential Recommendation. 492-504 - Lingyan Zhang, Jingjing Zhang, Genwei Zhang, Li Kuang, Yiman Xie:
IS-ANED: Dual-Module Graph Learning with Hybrid Attention for Edge Anomaly Detection. 505-516 - Pengjie Liu, Wang Zhang, Yulong Ding, Shuang-Hua Yang:
ECHO: Enhancing Knowledge Graph Completion via Multi-source Knowledge Representation Learning Mechanism with Continual Pre-training. 517-529
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