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ORCID22nd ICIC 2026: Toronto, ON, Canada - Part IV
- De-Shuang Huang, Chuanlei Zhang, Wei Chen, Bo Li, Qinhu Zhang, Wenzheng Bao, Yijie Pan, Prashan Premaratne:
Advanced Intelligent Computing Technology and Applications - 22nd International Conference on Intelligent Computing, ICIC 2026, Toronto, ON, Canada, July 22-26, 2026, Proceedings, Part IV. Lecture Notes in Computer Science 16645, Springer 2027, ISBN 978-981-92-3390-8
Knowledge Discovery and Data Mining
- Sheng Yan, Xuefei Zhang, Liping Zhang, Min Hou, Xue Wang:
Knowledge Graph Completion via Multi-hop Neighborhood Perception and Multi-scale Fusion for Multi-modal Scenarios. 3-15 - Hao Zheng, Shudi Bao, Meng Chen, Zhengjie Ji, Zeeshan Ahmad, Liang Wang:
FIS-FL: Interpretable Data Poisoning Detection in Federated Learning via Feature Importance Shift. 16-27 - Zhen Yu, Yachao Yuan, Zixiang Peng, Muting Li, Thar Baker:
MambaLSTM: A Spatio-Temporal Framework for Enhanced Traffic Accident Risk Prediction. 28-40 - Shiwei Pu
, Chuanchang Liu:
Multi-Cycle Automatic Temporal Query Network and Adaptive Modeling for Multivariate Time Series Forecasting. 41-52 - Shuailei Li:
Integrating Long-term Multi-Interest and Conditional Diffusion Enhancement for Sequential Recommendation. 53-64 - Xinyu Yin, Fan Shi, Chengxi Xu, Jinfeng Peng, Ye Li, Jiatang Zhao:
Device Type Identification with Deep Metric Learning. 65-82 - Chenxi Li, Yubin Li, Haotong Zheng, Ruqi Zhou, Yuncheng Jiang:
Debiasing Dual-State Knowledge Tracing via Co-occurrence Patterns and Temporal Consistency. 83-95 - Yaqin Ye, Shengzhi Yang, Shengwen Li, Yuxuan Lu, Xin Lei, Zhu Cao, Qiwei Hu, Chen Zhang:
DualProDiff: Generating Trajectories from Intention to Path via Dual-Prototype Conditioned Diffusion. 96-107 - Yansong Dong, Shang Wang, Kaifan Jia, Yongchun Jiang, Heng Zhang:
Persistency-Driven Parallelism: Boosting Large Chunk-Based Graph Processing via Asynchronous NUMA Staging. 108-119 - Jiajun Huang, Wenkui Zheng, Zhengao Chen:
EPDM: Length-Extendable Patch-Based Diffusion Models for Multivariate Time Series Imputation. 120-130 - Guoan Liu, ZhiJian Fang, Jinjin Gu:
LogicSGL: Uncertainty-Calibrated Structure-Level LLM Distillation for Sparse and Noisy Interaction Graphs. 131-142 - Shunjie Wu, Xingjian Lin, Yanze Gao, Changxin Rong, Xiangyu Wang:
Reliable Causal Mining via Knowledge Evaluation for Order-based Graph Constraints. 143-154 - Xingyun Li, Zhilong Shan, M. U. Su:
IBGCL: Information Bottleneck-Driven Denoising for Graph Contrastive Learning in Recommendation. 155-166 - Haojin Tan, Zhilong Shan, Su Mu:
FS-IDs: Affordance-Aware Functional Semantic Indexing for Generative Recommendation. 167-177 - Yutong Tian, Ruqi Zhou, Yucheng Jiang:
Multi-View Mutual Information Consistency Enhancement and Pseudo-Label Semantic Calibration for Multi-modal Entity Alignment. 178-190 - Zheng Wang, Zhijian Huang, Yanxin Ma, Peng Zhang, Hangcheng Mo:
A Joint Sound Localization and Classification Method Embedded with Multi-Stage Attention and Dynamic Training Strategy. 191-202 - Qingbao Guan, Yu Guo, Liyu Luo, Lei Duan:
Frequency Energy Adaptive Normalization for Non-Stationary Time Series Forecasting. 203-214 - Mo Yu, Zhengyang Wu, Chaobo He:
DHCom-NAS: Dynamic Heterogeneous Community Detection via Neural Architecture Search. 215-226 - Guopeng Xu, Guibao Yin:
Personalized Compatibility Modeling with Adaptive Disentanglement and Hypergraph Learning. 227-239 - Yipu Chen, Jingkun Wang, Wen Zhao:
Perplexity-Guided Interest Generation with Dual-Feedback Alignment for LLM-based Recommendation. 240-251 - Shangyu Meng, Mohd Zakree Ahmad Nazri, YuTing Wang, JinLing Wei:
Semantic Expansion and Noise Pruning: An LLM-Enhanced Graph Framework for Multi-Scenario CTR Prediction. 252-263 - Yenan Chen, Yuehua Liu:
Additive Dominance and Heavy-Tailed Interaction Structure in LLM-Based Schema Reconstruction. 264-276 - Zhonghao Liang, Honglong Xu:
Parallel Acceleration of Outlier Detection in Metric Space. 277-290 - Yichen Hu, Jimin Nie, Changsheng Wan:
Adaptive Structure-Aware Generative Modeling for Enhanced Label Differential Privacy. 291-302 - Jiaren Zou, Miao Fan, Bo Gao, Chen Ma, Guanghui Shu, Haoyi Xiong:
Predictive Pruning for Graph of Thoughts in Multi-Hop Reasoning. 303-315 - Kezhen Dong, Huanqing Cui, Ruixia Liu, Yining Tang:
A Parallel Local Edge Partitioning Algorithm with Global Boundary Optimization for Large-Scale Graphs. 316-327 - Guanyao Du, Haonan Chen, Jing Zhao, Yaohui Wang, Wei Wan, Chun Long, Yize Wu:
LogAMF: Adaptive Multi-Feature Fusion for Log Anomaly Detection. 328-344 - Jia Tang, Yongxiang Li, Peng Wang:
Beyond Instance-Level: Granular-Ball Topological Alignment for Unsupervised Cross-Modal Hashing. 345-357 - Binghao Zhao, Xiankun Zhang, Siqi Zheng:
DGHKT: Adaptive Dual-View Gated Hypergraph Networks for Knowledge Tracing. 358-369 - Xuguang Yang, Baojun Tian, Jiandong Fang:
Mitigating Popularity Bias in Recommendation with Diffusion-Contrastive Learning and Gated Alignment. 370-381 - Guannian Chen, Fanjun Meng, Yan Gou, Xingjian Xu:
Course-to-Concept Graph Recommendation for Next-Course Prediction in MOOCs. 382-394 - Yang Cui, Wenhui Tian, Honghao Li, Junkang Pan, Qun Yang:
SD-TKG: A Static-Dynamic Fusion Framework for Temporal Knowledge Graph Reasoning. 395-405 - Ivonne Xu, Yuping Yuan, Xiang Li, Shijia Huang, Yiming Zhang, Ge Zhang:
BiM-Rec: Bi-Stream Mamba for Sequential Recommendation. 406-417 - Yifei Zhang, Erhao Li, Sibin Wang, Rongbin Li, Yuxi Zhu, Chang Gao, Chenbo Liu:
CCD-OM: Cross-Course Cognitive Diagnosis Via Overlapping Entities and Multi-View Graphs. 418-429 - Ziyi Yu, Guofang Zhang:
Quantitative Research on Information Cocoon of Social Network Users Based on System Dynamics Model. 430-443 - Zhenxing Chen, Qingjing Fei, Albert Chen, Jianwen Chen:
DSDKT: Robust Knowledge Tracing via Trend Residual Decomposition and Difficulty Debiasing. 444-455 - Long Chen, Feng Ye, Wang Luo:
ST-KAG: Dynamic Knowledge Graph Reasoning for Pollution Source Tracing in Plain River Networks. 456-467 - Yuechan Li:
Dual-View Uncertainty-Aware Representation Learning for Tabular Anomaly Detection. 468-478 - Jianhua Song, Yuchen Deng, Peng He, Fenping Liang:
Source Code Vulnerability Detection Based on Semantic-Structural Synergistic Pyramid Network. 479-489 - Zhen Zhang, Jiaqi Fang, Jinshan Pang, Weiru Chen, Heng Qian, Qiuyue Wang:
Dynamic-CoLLM: Misalignment-Aware Gated Fusion for Collaborative-Enhanced LLM Recommendation. 490-501 - Chunlong Fan, Ruihao Fu, Li Xu, Yu Bai:
MAPA-KG: A Multi-Agent Post-hoc Auditing Framework for Domain Knowledge Graph Construction. 502-512 - Wenzheng Liu, Shan Yu, Xiang Li, Menghan Liang, Cheng Fu:
A Dynamic Concept Drift Detection Method Based on Deep Representation Learning and Hoeffding Trees. 513-524 - Shiqi Liu, Wenhao Zhu, Rui Fan:
ReaCoT: Reason-Enhanced Chain-of-Thought Learning for Aspect-Category Sentiment Analysis. 525-535 - Ji Li, Qinya Guo, Weili Chen, Xu Zou:
Behavioral Characteristics and Topic Analysis of Weibo Social Bots in Public Opinion on the Russian-Ukrainian Conflict. 536-547 - Yulin Yang, Zikang Wang, Linjing Li, Dajun Zeng:
SARE: Soft Alignment Reward for Reinforcement Learning in Generative Recommendation. 548-558 - Kai Yu, Bing Kong, Lihua Zhou:
Dual-Granularity Graph Contrastive Alignment-Guided Bidirectional Imputation for Incomplete Multi-View Clustering. 559-570 - Junfeng Yan, Enze Zhu, Derun Gan, Guangzhi Qu, Feng Zhang:
DGAD: A Dual-Graph Framework with Aspect-Aware and Dynamic Neighbor Modeling for Review-Based Recommendation. 571-582 - Xingde Zhu, Tingjuan Li, Han Gao, Xiaoming Zhang:
Structural Soft Prompt Injection for Large Language Models in Knowledge Graph Question Answering. 583-594 - Fan Gao, Wenkai Wang, Renjie Zheng, Meihong Wang:
ST-DPGNet: Adaptive Spatiotemporal Graph Learning with Dual-Path Gating and Residual Decomposition for Traffic Forecasting. 595-606 - Suna Qiao, Gang Li:
KGC-CL - Knowledge Graph Collaborative Contrastive Learning for Recommender Systems. 607-619
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