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 Raymond Chi-Wing Wong [and six others] editors

Format:

Book

Conference/Event

Contributor:

Wong, Raymond Chi-Wing, editor.

Conference Name:

Pacific-Asia Conference on Knowledge Discovery and Data Mining (30th : 2026 : Hong Kong, China)

Series:

Lecture notes in computer science ; 16598.

Lecture notes in computer science. Lecture notes in artificial intelligence

Lecture notes in computer science 1611-3349 16598

Lecture notes in artificial intelligence

Language:

English

Subjects (All):

Data mining.

Data Mining.

Medical Subjects:

Data Mining.

Genre:

proceedings (reports)

Conference papers and proceedings

Conference papers and proceedings.

Physical Description:

1 online resource

Place of Publication:

Singapore Springer 2026

Contents:

Aver : adversarial variational enhanced representation architecture for abstractive multi-document summarization / Chaojie Sun, Xinxin Guan, Chenyu Hou, Ting Wang, Bin Cao, and Tiantian Li

Theselective : dual affinity-guided diffusion for selective molecular generation / Hyoungjoon Park, Hwanhee Kim, Seungyeon Choi, Seungyong Lee, Yoonju Kim, and Sanghyun Park

A novel hierarchical multi-agent system for payments using LLMs / Joon Kiat Chua, Donghao Huang, and Zhaoxia Wang

Rethinking unlearnable examples in machine unlearning / Chenxu Zhao, Wei Qian, Chenglin Miao, and Mengdi Huai

Divergence-based similarity function for multi-view contrastive learning / Jaehyoung Jeon, Cheolsu Lim, and Myungjoo Kang

Recticast : rectifying distribution shift in cascaded precipitation nowcasting / Fanbo Ju, Haiyuan Shi, and Qingjian Ni

Deltaaug : a directional semantic data augmentation framework guided by differential reasoning / Wenhao Chen, He Li, Gang Shen, Rundong Cao, and Guojie Song

Counteracting popularity bias amplification in bundle recommendations with latent factor constraints / Meng Sun, Lin Li, Ming Li, Dong Zhang, Amran Bhuiyan, and Jimmy Xiangji Huang

Neuro-symbolic learning for predictive process monitoring via two-stage logic tensor networks with rule pruning / Fabrizio De Santis, Gyunam Park, and Francesco Zanichelli

Embryocst : a stage-aware ResNet with layered CNN-3D Swin transformer for embryo stage classification / Yang Zhao, Xudong Li, Zikang Cai, Jihong Pei, Xuan Yang, and Jiahui Wu

Pmme : spatio-temporal few-shot learning via pattern matching with memory enhancement / Ziyang Ji, Xiaobin Ren, Qiqi Wang, and Kaiqi Zhao

Semantic steer chain : efficient and precise black-box jailbreaking through adaptive approximation / Jiesen Long, Yisheng Zheng, Jiayun Wu, and Guojiao Zhao

Autoprep-mm : reinforcement learning for multimodal data preprocessing with graph-based interaction modeling / Jing Chang, Chang Liu, and Jinbin Huang

Meta-RL with shared representations enables fast adaptation in energy systems / Théo Zangato, Aomar Osmani, and Pegah Alizadeh

Earlyshield : early-stage screening for robust personalized federated learning / Shixiong Li, Xingyu Lyu, Ning Wang, Tao Li, Danjue Chen, Yidan Hu, and Yimin Chen

R2r : a post-training framework for multi-domain decoder-only rerankers / 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, and Xinyu Wang

Higr : hierarchical iterative graph reasoner for document-level event causality identification / Jianwei Ni, Yi Guo, and Jiaojiao Fu

Robust volume ratio : a metric for fine-grained evaluation of tree ensemble robustness / Saori Matsunaga and Genta Yoshimura

Mjos : a multi-stage joint optimization strategy for convolutional neural network compression / Enze Zhu, Junfeng Yan, Derun Gan, Guangzhi Qu, and Feng Zhang

Figda : feature importance guided learning model for domain-adaptive anomaly detection / Juhyun Seo, Yegi Lee, and Kyoungro Yoon

Unified loss-level regularization for spike-aware and anti-lag time series forecasting / Faiza Afzal, Eunsol Hyun, A-Hyun Jo, Jun-Hwan Kim, and Kyuchang Chang

Batterysurad : a dataset for anomaly detection on pouch-type reflective battery surfaces with spatial zone annotations / Jiwon Park, Dohwan Kim, Bongseok Choi, Giljun Lee, and Hayoung Oh

Mits : enhanced tree search reasoning for LLMs via pointwise mutual information / Jiaxi Li, Yucheng Shi, Xiao Huang, Jin Lu, and Ninghao Liu

Mosaic : an accurate and efficient kernel-based multivariate time series classifier / Yunrui Zhang, Gustavo Batista, and Salil S. Kanhere

Schema-agnostic feature extractor using LLM and transformer for RUL prediction / Ryosuke Takayama and Masanao Natsumeda

Recommending under-represented influential researchers using geographically aware contrastive learning / Arpan Dam, Sougata Roy, Sayan Pathak, and Bivas Mitra

Ts-unlearn : a dual-objective unlearning framework for time series forecasting / Ziyi Wang, Lixing Chen, Zhongqi Miao, Junhua Tang, Yang Bai, and Jianhua Li

Subgraph plug-in boosts up graph neural networks / Hyung-Jun Moon and Sung-Bae Cho

Fedckd : a knowledge distillation approach to cross-client learning in federated learning with label-exclusive datasets / Minh-Chau Le, Hoang-Quynh Le, Duc-Trong Le, and Tram Truong-Huu

Distillation-based scenario-adaptive mixture-of-experts for the matching stage of multi-scenario recommendation / Ruibing Wang, Shuhan Guo, Haotong Du, and Quanming Yao

Tri-abl : enhancing abl using three learners / Yan-Xiao Huang, Hao-Yuan He, and Ming Li

Unsupervised symbolic anomaly detection / Md Maruf Hossain, Tim Katzke, Simon Klüttermann, and Emmanuel Müller

Diverse and task-specific data selection for instruction tuning / Juncheng Diao, Saiping Guan, Gaoyu Zhu, Jiafeng Guo, and Xueqi Cheng

Noise-aware multi-inference self-regulation for self-supervised denoising / Nazmus Saqib, Yeochan Yoon, Jaechoon Jo, and Joon-Min Gil

Drim : context-driven nearest neighbor imputation using language representation / Jaesung Lim, Seunghwan An, and Jong-June Jeon

LLM-guided role assignment and coordination in multi-agent reinforcement learning / Wei Xiong, Tingrui Yang, Yong Heng, Jiebo Chen, Qian Gao, Shengze Shi, and Jun Hu

Continualcropbank : object-level replay for semi-supervised online continual object detection / Lucas Tsutsui da Silva and Gustavo Batista

Unlearning spurious concepts enhances the robustness of concept-based explainable models in skin cancer diagnosis / Van Anh Le, Andy Song, Arthur Tang, and Karin Verspoor

Elc U-mamba : efficient linear-chunked U-mamba for long-range and local feature fusion / Guoping Huo, Fanqian Meng, Ouli Luo, and Hui Ding

Sgf-net : fusing SMILES, graph, and fingerprints for molecular property prediction / Ting Liu, Linxing Zhu, Shu Jiang, Wei Zhang, Jiashuang Huang, and Weiping Ding

Himoe-cctc : a hierarchical mixture-of-experts framework for citizen complaint text classification / Jialing He, Li Li, Jiahe Liu, Yanming Gong, Dan Huang, and Juan Wang

Sam-3d-msf : parameter-efficient adaptation of segment anything model for 3D tooth CBCT segmentation / Yifu Zhang, Chun Shen, and Jianbing Li

Relation prototype driven multimodal knowledge graph completion / Shuyue Zhu, Chungang Yan, Bingxuan Hou, Mengna Gao, Qingqing Hong, Dapeng Yin, and Junli Wang

Anomaly edge detection in dynamic graphs based on hyperbolic graph neural networks / Jing He, Lin Chen, Wei Guo, Cheng Luo, Chengping Gong, and Mian Wang

Risk-aware skill-coverage hybrid workforce configuration on social networks / Hui-Ju Hung, Guang-Siang Lee, Chia-Hsun Lu, Chih-Ya Shen, and De-Nian Yang

Channel dependence, limited lookback windows, and the simplicity of datasets : how biased is time series forecasting? / Ibram Abdelmalak, Kiran Madhusudhanan, Jungmin Choi, Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, and Lars Schmidt-Thieme

Multiadc : advanced antibody-drug conjugate activity prediction through multi-scale feature fusion / Minghui Li, Yang Wu, Zikang Guo, Peijin Guo, Shengshan Hu, Shengqing Hu, and Xiaoli Lan

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Springer Nature Link, viewed June 10, 2026)

Other Format:

Print version Pacific-Asia Conference on Knowledge Discovery and Data Mining (30th : 2026 : Hong Kong, China) Advances in knowledge discovery and data mining

ISBN:

9789819214624

9819214629

OCLC:

1594452401

Access Restriction:

Restricted for use by site license