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ORCID29th PAKDD 2025: Sydney, NSW, Australia - Part VI
- Xintao Wu
, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama:
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI. Lecture Notes in Computer Science 15875, Springer 2025, ISBN 978-981-96-8294-2
Survey Track
- Nan Sun, Yuantian Miao, Xiaoxing Mo, Jun Zhang:
Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. 3-20 - Wenfeng Jia, Bin Liang, Yuxi Lu, Muhammad Arif Khan, Lihong Zheng:
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. 21-38 - Runlong Yu, Shengyu Chen, Yiqun Xie, Xiaowei Jia:
A Survey of Foundation Models for Environmental Science. 39-57 - Huangleshuai He, Zhengyi Yang, Dong Wen, Wenqian Zhang, Michael Yu, Wenke Yang, Wenjie Zhang:
A Survey on Efficient Graph Reachability Queries. 58-77
Machine Learning
- Siyuan Ren, Guannan Chang, Luqi Jing, Zhenghong Wu, Shuailin Chen, Qianru Wang:
Disentangled Representation Learning for Geospatial-Temporal Data Modeling. 81-93 - Shonosuke Harada, Ryosuke Yoneda, Hisashi Kashima:
Treatment Effect Estimation for Graph-Structured Targets. 94-109 - Yuan-Chih Yang, Hung-Hsuan Chen:
Dynamic DropConnect: Enhancing Neural Network Robustness Through Adaptive Edge Dropping Strategies. 110-121 - Béla H. Böhnke, Edouard Fouché, Klemens Böhm:
The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. 122-134 - Shiqi Xu, Shuqin Li, Tianyi Song:
Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. 135-146 - Harindu Sugathadasa, Sarah Monazam Erfani, Christopher Leckie:
S-CPD: Topological Smoothing-Based Change Point Detection. 147-158 - Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Uwe Aickelin:
VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. 159-171 - Kohei Obata, Taichi Murayama, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai:
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. 172-184 - Yanhong Li, David C. Anastasiu:
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. 185-197 - Amelia Genova, Huidong Jin, John A. Taylor, Joel Janek Dabrowski, Peter J. Toscas, Klaus Joehnk:
Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. 198-209 - Nuobei Shi, Jiapeng Yu, Hengyi Luo, Jin Ma, Raymond Lee:
CNO-Former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. 210-222 - Ritwik Mishra, Sreeram Vennam, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Multilingual Non-factoid Question Answering with Answer Paragraph Selection. 223-236 - Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Michael Kirley:
Turning Uncertainty to Information by Intervals in Ensemble Classifiers. 237-249 - Laurence A. F. Park, Jesse Read:
Determining the Need for Multi-label Classifiers by Measuring Unexplained Covariance. 250-261 - Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka:
Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. 262-274
Trustworthiness
- Hiep Vo, Zhiyi Tian, Chenhan Zhang, James Xi Zheng, Shui Yu:
Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. 277-289 - Shixiong Li, Xingyu Lyu, Ning Wang, Tao Li, Danjue Chen, Yimin Chen:
Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. 290-302 - Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh:
Defense Against Multi-target Multi-trigger Backdoor Attacks. 303-314 - Chengen Wang, Murat Kantarcioglu:
How to Backdoor Consistency Models? 315-327 - Yujiao Wang, Hai Huang, Xingquan Zuo:
Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. 328-339 - Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong, Frank Hopfgartner:
FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. 340-352
Learning on Complex Data
- Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Hai-Tao Yu, Xin Liu:
Action Sequence Analysis Using Temporal Commonsense Knowledge. 355-367 - Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. 368-380 - Xin Han, Haiyang Xia, Ye Zhu, Gang Li, Rob Law:
CANTER: A Novel Causal Model for Tourism Demand Forecasting. 381-393 - Rushan Geng, Cuicui Luo:
Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. 394-406 - Ke Zhang, Jiangyong Duan, Tiantian Yang, Hongfei Wang, Congmin Lv:
Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. 407-419 - Jessy Colonval, Fabrice Bouquet:
Hunting Inside N-Quantiles of Outliers (Hino). 420-431 - Keito Kido, Daichi Amagata, Takahiro Hara:
Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. 432-443 - Wei-Yao Wang, Wen-Chih Peng, Wei Wang:
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. 444-456 - Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao:
Offline Map Matching Based on Localization Error Distribution Modeling. 457-470
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