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