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ORCID29th PAKDD 2025: Sydney, NSW, Australia - Part III
- Xintao Wu
, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15872, Springer 2025, ISBN 978-981-96-8179-2
Machine Learning
- Beibei Gao, Yangsen Zhang, Ga Xiang, Zicheng Zhou:
GOSP: A Granularity-Optimized SPARQL Generation Framework for Knowledge Base Question Answering. 3-15 - Qiyuan Zhang, Jiehao Chen, Chen Ma:
Active Instruction Tuning for Large Language Models with Reference-Free Instruction Selection. 16-28 - Ryuta Matsuno:
GBCE: Enhanced Training Loss to Estimate Accuracy of Models in Production. 29-40 - Lo Pang-Yun Ting, Hua-Cheng Cheng, Yu-Hua Zeng, Kun-Ta Chuang:
Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting. 41-53 - Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen:
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. 54-65 - Guanzhi Liu, Kexin Meng, Pei Lv, Huan Zhang:
EMAWNB: Enhanced Multi-view Attribute Weighted Naive Bayes. 66-78 - Zhilong Duan, Lin Zhou, Degen Huang, Xuewen Shi:
Bridging Semantic and Emotional Gaps in Speech Emotion Recognition: A Novel LightGBM-Stacking Architecture. 79-90 - Viet-Tung Do, Xuan-Quang Nguyen, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le:
Automatic Prompt Selection for Large Language Models. 91-102
Multi-modality
- Huazhong Liu, Yuanhan Liu, Jihong Ding, Wenxuan Zhang:
QSMT: Query-Shared Multimodal Transformer for Multimodal Sentiment Analysis. 105-116 - Minlan Shao, Yili Wang, Xu Shen, Xin Wang:
Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning. 117-129 - Quanjin Liu, Guisheng Liu, Yi Li, Xin Zheng, Yanqing Guo:
T2 Transformer for Image Captioning. 130-141 - Qi Shao, Yanfen Zheng, Ben Cao, Zhenlu Liu, Bin Wang, Shihua Zhou, Pan Zheng:
DNA Sequence Clustering in High Error Rates via Hash Sketches Fuzzy Clustering for Efficient Stored Data Reconstruction. 142-154 - Subeen Choe, Jihyeon Oh, Jihoon Yang:
Multimodal Contrastive Learning for Dialogue Embeddings with Global and Local Views. 155-166 - Yifan Wang, Haodi Ma, Daisy Zhe Wang:
LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data. 167-179 - Thomas John, Mrinal Das:
Focus on What Matters: Guiding Vision Transformers Towards Justification. 180-191
OOD and Optimization
- Bohan Zhang, Yachuan Liu, Qiaozhu Mei, Paramveer S. Dhillon:
Leveraging Group-Level Signals for Robust Many-Domain Generalization. 195-209 - Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen:
Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee. 210-223 - Qiang Li, Binbin Wang:
Parameter Estimation in Cognitive Diagnosis: A Light-Weight Neural Network Solution. 224-235 - Tim Dernedde, Daniela Thyssens, Sören Dittrich, Maximilian Stubbemann, Lars Schmidt-Thieme:
Moco: A Learnable Meta Optimizer for Combinatorial Optimization. 236-248
Recommender Systems
- Jeongin Yun, Jaeri Lee, U Kang:
DART: Diversified and Accurate Long-Tail Recommendation. 251-264 - Pei-Xuan Li, Chia-Lung Lin, Hsun-Ping Hsieh:
Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks. 265-277 - Sewon Lee, Kwangeun Yeo, Eungi Kim, Jinri Kim, Chanwoo Kim, Yujin Jeon, Jooyoung Kim, Joonseok Lee:
Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation. 278-290 - Eungi Kim, Chanwoo Kim, Kwangeun Yeo, Jinri Kim, Yujin Jeon, Sewon Lee, Joonseok Lee:
ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation. 291-303 - Ruoyi Wang, Xu Zhou:
Next Point-of-Interest Recommendation Algorithm Based on Spatial-Temporal Knowledge Graph and User Dual-Level Preferences. 304-316 - Dayu Yang, Fuli Wang:
Towards Retrieval-Augmented Large Language Model-Based Conversational Recommender System. 317-330 - Wanru Niu, Yi Li, Jianfei Liu, Xin Xie, Haiyan Fu, Yanqing Guo:
Parallel Graph Convolutional Network for Multi-modal Recommendation. 331-343 - Zhangchi Qiu, Linhao Luo, Zicheng Zhao, Shirui Pan, Alan Wee-Chung Liew:
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems. 344-355 - Yuqian Wu, Yuhong Peng, Jiapeng Yu, Raymond Lee:
MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation. 356-367 - Yongrui Gu, Jianke Yu, Yongye Li, Peiting Xie, Xiaoyang Wang, Chen Chen:
RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems. 368-379
Representation Learning and Generative AI
- Jun Long, Shijia Ji, Zidong Wang, Tingxuan Chen, Liu Yang:
A Hypergraph Neural Network with Motif Interaction Enhancement. 383-394 - Qiao Qiao, Yuepei Li, Qing Wang, Kang Zhou, Qi Li:
Bridge Structural Knowledge and Pre-trained Language Models for Knowledge Graph Completion. 395-407 - Ruipeng Zhou, Ming Yang, Yi Li, Xin Zheng, Alan Wee-Chung Liew, Shirui Pan, Yanqing Guo:
Efficient and Diverse De Novo Protein Backbone Design with SE(3)-Equivariant Diffusion. 408-420 - Rui Wang, Yonghe Chen, Weiyu Zhang, Jiasheng Si, Hongjiao Guan, Xueping Peng, Wenpeng Lu:
MedConMA: A Confidence-Driven Multi-agent Framework for Medical Q&A. 421-433 - Yang Chang, Kuang-Da Wang, Ping-Chun Hsieh, Cheng-Kuan Lin, Wen-Chih Peng:
DDOT: A Derivative-Directed Dual-Decoder Ordinary Differential Equation Transformer for Dynamic System Modeling. 434-445 - Zelin Zhang, Tao Zhang, Aibo Xu:
Efficient Token Fusion for Transformer-Based Semantic Segmentation. 446-455 - Yong Shang, Weiyu Zhang, Huiting Li, Yang Liu, Wenpeng Lu:
A Novel Framework for Multi-hop Reasoning via Alternate Entity and Sequence Generation. 456-467 - Xiaowei Lu, Kanqi Wang, Peiyu Wang, Qin Zhang, Yang Zhao, Gang Liu, Xiaohan Yu:
Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification. 468-479 - Nayeon Kim, Eojin Jeon, Jun-Hyung Park, SangKeun Lee:
Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning. 480-491
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