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ORCID22nd PRICAI 2025: Wellington, New Zealand - Part I
- Yi Mei
, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna:
PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16451, Springer 2026, ISBN 978-981-95-7074-4
Clustering, Representation Learning, and Learning Systems
- Yihong Pan, Bofan Wang, Zhipeng Lin, Yifan Zhou, Huazhe Cheng, Karuna Reddy, Gillian Dobbie, Mark Chen:
CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction. 3-20 - Lijuan Wang, Feng Chen, Ming Yin, Zhifeng Hao, Ruichu Cai, Wei Chen, Xuan Xiong:
Balanced Learning for Incremental Multi-view Clustering. 21-36 - Jiawen Deng, Ji Han, Yanan Sun:
BMSR: A Bidirectional Multi-hop Predictor with Structure-Aware Ranking Loss for NAS. 37-53 - Wang Qian, Pan Wei, Tang Xiao Lan, Liang Jing Qi:
Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms. 54-69 - Jingwen Fan, Xiaozheng Jin, Jia Fu:
ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems. 70-85 - Lingfeng Zhang, Yepeng Ding, Tao Hu, Jun Li, Hiroyuki Sato:
SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification. 86-103 - Hao Xie, Ivy Liu, Bing Xue, Mengjie Zhang:
Partial Multi-label Feature Selection Based on Matrix Elastic-Net. 104-120 - Ru Wang, Guohao Sun, Jiale Lv, Li Yang, Xiu Susie Fang, Ge Zhang:
A Neural Subgraph Counting Method Based on Matching Matrix. 121-138 - Xusheng Yu, Guofang Ma, Yanchao Tan:
MGMRec: Learning Multi-granularity Representations for Multi-behavior Recommendation. 139-154 - Jinda Du, Jian Hou, Huaqiang Yuan:
Improving Nyström Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition. 155-170 - Gaoyuan Ma, Yonghui Xu, Wei He, Lizhen Cui:
EDGM: Efficient and Dynamic Generative Model for Dataset Distillation. 171-187 - Shuaiwei Zhang, Xu Liang, Yazhou Hu:
Meta Learning-Enhanced Iterative Learning Control for Tracking. 188-203 - Pawel Benecki, Daniel Kostrzewa, Michal Kawulok:
Metric Learning for Multi-image Super-Resolution. 204-219 - Ziyi Hou, Xiaoling Guo, Yaping Shang:
Beyond Local Balance: A Global Perspective for Signed Network Embedding. 220-235 - Yukun Cao, Lisheng Wang, Luobin Huang, Xuefeng Xu, Zhihao Guo, Yongcheng He:
Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation. 236-251 - Jianhua Xu, Jun Li:
A Feature-Aware Label Selection Approach Based on Matrix Interpolation Decomposition. 252-262 - Han Wang, Ruiqi Yu, Shuang Ren:
TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search. 263-271 - Ziyi Zhang, Huaiwen Zhang:
Controlled Cluster Separation for Class Incremental Learning. 272-280 - Shenglei Li, Tomoji Kishi:
A Dual MmWave Radar System Using Density-Based Sequential Clustering. 281-289
Deep Learning
- Man Zhang, Yun Xiang, Zhi Wang, Jiajie Deng:
Improved GJO Optimized CNN-BiLSTM-Attention Touchdown Speed Prediction Model. 293-313 - Fengjie Chang, Xinning Zhu, Zheng Hu, Yang Qin:
HGTUL: A Hypergraph-Based Model For Trajectory User Linking. 314-329 - Yuchen Liu, Songming Zhang, Xuan Xiong, Yulin Zhang, Feng Wang, Jinyan Li:
UCTPose: Uncertainty-Aware Multi-view 3D Animal Pose Estimation. 330-345 - Khaled Mohammed Saifuddin, Mehmet Emin Aktas, Esra Akbas:
Topology-Guided Hypergraph Transformer Network: Unveiling Structural Insights. 346-362 - Chunhui Ding, Aojun Lu, Jiahao Fan, Yanan Sun:
Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller. 363-378 - Tao Yu, Yiwei Lin, Zhenqin Chen, Jinshan Xu:
CASD: An Accelerated Sampling Framework for ECG Denoising. 379-394 - Lanlan Lu, Qimeng Yang, Yi Liu:
Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning. 395-410 - Fudie Ai, Wanli Dong, Yiming He, Shujian Liao, Shengyu Xiong, Anjie Peng:
HFCNet: A Spatial-Frequency Collaborative Multi-scale Network for Infrared Small Target Detection. 411-426 - Mingze Han, Shuang Liu, Mingliang Xue, Peng Chen, Simon Kolmanic, Dabao Zhang:
Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC. 427-443 - Tanvir Islam:
VISP: Volatility Informed Stochastic Projection for Adaptive Regularization. 444-459 - Shujun Xia, Yulong Zhou, Wei Li:
Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring. 460-475 - Jiahui Ma, Wenwen Zhao, Li Li:
TDCRec: Time-Varying Demand Causal Modeling for Recommendation Debiasing. 476-491 - Yayong Li, Xubo Zhang, Hong Zhang, Nan Ye, Zongli Liu, Jinran Wu:
Generalized Few-Shot Node Classification via Training Set Refinement. 492-508 - Huigang Zhang, Liuan Wang, Jun Sun:
Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation. 509-522 - Long-Quoc Le, Minh-Nhut Ngo:
Phoneme-Based Optimization of Enrollment Selection for Speaker Identification. 523-536 - Yuxuan Xie, Yang Bochuang, Xie Yuxin:
MACT: Mutation-Aware CNN-Transformer for ESG Forecasting. 537-548 - Roshan Birjais, Kevin I-Kai Wang, Waleed Abdulla:
Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training. 549-561 - Chunlin Gong, Yin Wang, Jingru Li, Hanleran Zhang:
AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction. 562-570 - Yuji Wang, Longhui Zhao, Juan Gabriel Colonna, Jia Tang, Zujie Kang, Faming Zhang, Jie Xie:
Dual-Branch Mamba Based Multi-label Anuran Species Classification. 571-578 - Dejiao Niu, Chengyu Zhang, Tao Cai, Lei Li, Yuxuan Yang, Ye Wang:
SWD-HTM: A Novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder. 579-586
Graph Learning
- Yifan Jin, Yanan Zhang, Qirui Ji, Bin Qin, Rui Wang, Lixiang Liu:
Empowering Graph Contrastive Learning with Topological Rationale. 589-605 - Lisha Peng, Canghong Jin, Longxiang Shi, Qihao Shi:
D-FRGAT: Event Prediction Framework Based on Temporal Knowledge Graph Reasoning. 606-622 - Wei Liu, Yuhe An, Senrong Xu, Xingshen Wei, Weiyong Yang:
Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-Label Learning. 623-638 - Jian Gou, Qingming Zhang, Peidong Chen, Desen Yang:
AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion. 639-654 - Wenwen Geng, Chunxiao Wang, Yupeng Hu, Yuwen Huang, Zhigang Zhao, Xiang Li:
MSPA-STDGN: An Air Quality Prediction Method Based on Multi-scale Patch-Aware Spatiotemporal Dynamic Graph Network. 655-670 - Joeri Winckelmans, Bart De Clerck, Jan Steckel:
A Comparative Study of Variational and Vector Encoders in Graph User Matching. 671-685 - Siyuan Cao, Hongxuan Wu, Jiabao Brad Wang, Yiliang Yuan, Mustafa Misir:
MC-GNNAS-Dock: Multi-criteria GNN-Based Algorithm Selection for Molecular Docking. 686-696 - Jiayi Zhao, Yongli Wang, Anqi Huang, Dongmei Liu:
WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning. 697-706 - Changlong Wang, Yi Liu, Xije Wang, Jianlong Cao, Yaoyao Hu, Jie Hu, Wenzheng Guo:
Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations. 707-715 - Teng Ma, Zijian Li, Nanjun Yu, Feiyu Chen:
Contrastive Graph Clustering with Structure-Aware Enhancement. 716-724 - Naimeng Yao, Li Xiao, Weihua Li, Xiaodan Wang, Shiqing Wu, Quan Bai:
Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning. 725-733
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