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ORCID30th PAKDD 2026: Hong Kong, China - Part II
- Raymond Chi-Wing Wong
, Hanghang Tong, Hua Lu, James T. Kwok, Flora D. Salim, Yuanfeng Song, Man Lung Yiu:
Advances in Knowledge Discovery and Data Mining - 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, Hong Kong, China, June 9-12, 2026, Proceedings, Part II. Lecture Notes in Computer Science 16598, Springer 2026, ISBN 978-981-92-1461-7
Main Track
- Chaojie Sun, Xinxin Guan, Chenyu Hou, Ting Wang, Bin Cao, Tiantian Li:
AVER: Adversarial Variational Enhanced Representation Architecture for Abstractive Multi-document Summarization. 3-15 - Hyoungjoon Park, Hwanhee Kim, Seungyeon Choi, Seungyong Lee, Yoonju Kim, Sanghyun Park:
TheSelective: Dual Affinity-Guided Diffusion for Selective Molecular Generation. 16-27 - Joon Kiat Chua, Donghao Huang, Zhaoxia Wang:
A Novel Hierarchical Multi-agent System for Payments Using LLMs. 28-39 - Chenxu Zhao, Wei Qian, Chenglin Miao, Mengdi Huai:
Rethinking Unlearnable Examples in Machine Unlearning. 40-53 - Jaehyoung Jeon, Cheolsu Lim, Myungjoo Kang:
Divergence-Based Similarity Function for Multi-view Contrastive Learning. 54-66 - Fanbo Ju, Haiyuan Shi, Qingjian Ni:
RectiCast: Rectifying Distribution Shift in Cascaded Precipitation Nowcasting. 67-78 - Wenhao Chen, He Li, Gang Shen, Rundong Cao, Guojie Song:
DeltaAug: A Directional Semantic Data Augmentation Framework Guided by Differential Reasoning. 79-90 - Meng Sun, Lin Li, Ming Li, Dong Zhang, Amran Bhuiyan, Jimmy Xiangji Huang:
Counteracting Popularity Bias Amplification in Bundle Recommendations with Latent Factor Constraints. 91-103 - Fabrizio De Santis, Gyunam Park, Francesco Zanichelli:
Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning. 104-118 - Yang Zhao, Xudong Li, Zikang Cai, Jihong Pei, Xuan Yang, Jiahui Wu:
EmbryoCST: A Stage-Aware ResNet with Layered CNN-3D Swin Transformer for Embryo Stage Classification. 119-131 - Ziyang Ji, Xiaobin Ren, Qiqi Wang, Kaiqi Zhao:
PMME: Spatio-Temporal Few-Shot Learning via Pattern Matching with Memory Enhancement. 132-144 - Jiesen Long, Yisheng Zheng, Jiayun Wu, Guojiao Zhao:
Semantic Steer Chain: Efficient and Precise Black-Box Jailbreaking Through Adaptive Approximation. 145-157 - Jing Chang, Chang Liu, Jinbin Huang:
AutoPrep-MM: Reinforcement Learning for Multimodal Data Preprocessing with Graph-Based Interaction Modeling. 158-170 - Théo Zangato, Aomar Osmani, Pegah Alizadeh:
Meta-RL with Shared Representations Enables Fast Adaptation in Energy Systems. 171-183 - Shixiong Li, Xingyu Lyu, Ning Wang, Tao Li, Danjue Chen, Yidan Hu, Yimin Chen:
EarlyShield: Early-Stage Screening for Robust Personalized Federated Learning. 184-196 - Hanwei Wu, Qingchen Hu, Zhenghan Tai, Jingrui Tian, Lei Ding, Jijun Chi, Hailin He, Tung Sum Thomas Kwok, Yufei Cui, Sicheng Lyu, Muzhi Li, Mingze Li, Xinyue Yu, Ling Zhou, Peng Lu, Xinyu Wang:
R2 R: A Post-training Framework for Multi-domain Decoder-Only Rerankers. 197-209 - Jianwei Ni, Yi Guo, Jiaojiao Fu:
HIGR: Hierarchical Iterative Graph Reasoner for Document-Level Event Causality Identification. 210-222 - Saori Matsunaga, Genta Yoshimura:
Robust Volume Ratio: A Metric for Fine-Grained Evaluation of Tree Ensemble Robustness. 223-236 - Enze Zhu, Junfeng Yan, Derun Gan, Guangzhi Qu, Feng Zhang:
MJOS: A Multi-stage Joint Optimization Strategy for Convolutional Neural Network Compression. 237-249 - Juhyun Seo, Yegi Lee, Kyoungro Yoon:
FIGDA: Feature Importance Guided Learning Model for Domain-Adaptive Anomaly Detection. 250-262 - Faiza Afzal, Eunsol Hyun, A-Hyun Jo, Jun-Hwan Kim, Kyuchang Chang:
Unified Loss-Level Regularization for Spike-Aware and Anti-Lag Time Series Forecasting. 263-274 - Jiwon Park, Dohwan Kim, Bongseok Choi, Giljun Lee, Hayoung Oh:
BatterySurAD: A Dataset for Anomaly Detection on Pouch-Type Reflective Battery Surfaces with Spatial Zone Annotations. 275-287 - Jiaxi Li, Yucheng Shi, Xiao Huang, Jin Lu, Ninghao Liu:
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information. 288-300 - Yunrui Zhang, Gustavo Batista, Salil S. Kanhere:
Mosaic: An Accurate and Efficient Kernel-Based Multivariate Time Series Classifier. 301-313 - Ryosuke Takayama, Masanao Natsumeda:
Schema-Agnostic Feature Extractor Using LLM and Transformer for RUL Prediction. 314-326 - Arpan Dam, Sougata Roy, Sayan Pathak, Bivas Mitra:
Recommending Under-Represented Influential Researchers Using Geographically Aware Contrastive Learning. 327-340 - Ziyi Wang, Lixing Chen, Zhongqi Miao, Junhua Tang, Yang Bai, Jianhua Li:
TS-Unlearn: A Dual-Objective Unlearning Framework for Time Series Forecasting. 341-353 - Hyung-Jun Moon, Sung-Bae Cho:
Subgraph Plug-in Boosts up Graph Neural Networks. 354-366 - Minh-Chau Le, Hoang-Quynh Le, Duc-Trong Le, Tram Truong Huu:
FedCKD: A Knowledge Distillation Approach to Cross-Client Learning in Federated Learning with Label-Exclusive Datasets. 367-379 - Ruibing Wang, Shuhan Guo, Haotong Du, Quanming Yao:
Distillation-Based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario Recommendation. 380-392 - Yan-Xiao Huang, Hao-Yuan He, Ming Li:
Tri-ABL: Enhancing ABL Using Three Learners. 393-404 - Md Maruf Hossain, Tim Katzke, Simon Klüttermann, Emmanuel Müller:
Unsupervised Symbolic Anomaly Detection. 405-417 - Juncheng Diao, Saiping Guan, Gaoyu Zhu, Jiafeng Guo, Xueqi Cheng:
Diverse and Task-Specific Data Selection for Instruction Tuning. 418-430 - Nazmus Saqib, Yeo Chan Yoon, Jaechoon Jo, Joon-Min Gil:
Noise-Aware Multi-inference Self-regulation for Self-supervised Denoising. 431-443 - Jaesung Lim, Seunghwan An, Jong-June Jeon:
DrIM: Context-Driven Nearest Neighbor Imputation Using Language Representation. 444-457 - Wei Xiong, Tingrui Yang, Yong Heng, Jiebo Chen, Qian Gao, Shengze Shi, Jun Hu:
LLM-Guided Role Assignment and Coordination in Multi-Agent Reinforcement Learning. 458-469 - Lucas Tsutsui da Silva, Gustavo Batista:
ContinualCropBank: Object-Level Replay for Semi-supervised Online Continual Object Detection. 470-481 - Anh Le Van, Andy Song, Arthur Tang, Karin Verspoor:
Unlearning Spurious Concepts Enhances the Robustness of Concept-Based Explainable Models in Skin Cancer Diagnosis. 482-494 - Guoping Huo, Fanqian Meng, Ouli Luo, Hui Ding:
ELC U-Mamba: Efficient Linear-Chunked U-Mamba for Long-Range and Local Feature Fusion. 495-507 - Ting Liu, Linxing Zhu, Shu Jiang, Wei Zhang, Jiashuang Huang, Weiping Ding:
SGF-Net: Fusing SMILES, Graph, and Fingerprints for Molecular Property Prediction. 508-520 - Jialing He, Li Li, Jiahe Liu, Yanming Gong, Dan Huang, Juan Wang:
HiMoE-CCTC: A Hierarchical Mixture-of-Experts Framework for Citizen Complaint Text Classification. 521-533 - Yifu Zhang, Chun Shen, Jianbing Li:
SAM-3D-MSF: Parameter-Efficient Adaptation of Segment Anything Model for 3D Tooth CBCT Segmentation. 534-545 - Shuyue Zhu, Chungang Yan, Bingxuan Hou, Mengna Gao, Qingqing Hong, Dapeng Yin, Junli Wang:
Relation Prototype Driven Multimodal Knowledge Graph Completion. 546-558 - Jing He, Lin Chen, Wei Guo, Cheng Luo, Chengping Gong, Mian Wang:
Anomaly Edge Detection in Dynamic Graphs Based on Hyperbolic Graph Neural Networks. 559-571 - Hui-Ju Hung, Guang-Siang Lee, Chia-Hsun Lu, Chih-Ya Shen, De-Nian Yang:
Risk-Aware Skill-Coverage Hybrid Workforce Configuration on Social Networks. 572-584 - Ibram Abdelmalak, Kiran Madhusudhanan, Jungmin Choi, Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme:
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased Is Time Series Forecasting? 585-597 - Minghui Li, Yang Wu, Zikang Guo, Peijin Guo, Shengshan Hu, Shengqing Hu, Xiaoli Lan:
MultiADC: Advanced Antibody-Drug Conjugate Activity Prediction Through Multi-scale Feature Fusion. 598-609
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