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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD

B

CORE rank

CORE rank (raw)

B

Fields of research

Data Management and Data Science

Papers indexed

3,925

1998–2026

Best Data Science and Information Retrieval conferences

Papers per year

1998320 peak2026

Most published authors

PAKDD papers

3,925 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2026On Reasoning Behind Next Occupation Recommendation.Shan Dong, Palakorn Achananuparp, Hieu Hien Mai, Lei Wang, Yao Lu, Ee-Peng Lim
2026A Temporal Graph Neural Network Approach for Network Attack Detection.Hongli Ding, Bo Liu, Xingkong Ma, Xinyi Chen, Jiayang Liu
2026WeiboDRP: Sentiment Analysis on Chinese Social Media with Multi-Level Comment Structures.Wanfeng Ding, Hanif Bhuiyan
2026TAPE: Trend-Aware Perturbation Enhancement for Sparse Stepwise Non-stationary Time Series.Shengnan Di, Zhidong Li, Fang Chen, Bin Liang
2026Diverse and Task-Specific Data Selection for Instruction Tuning.Juncheng Diao, Saiping Guan, Gaoyu Zhu, Jiafeng Guo, Xueqi Cheng
2026LLM-HAN: A Hybrid Recommendation Approach with LLM-Enhanced Features and Heterogeneous Graph Attention Network.Ziliang Deng, Yuanzhe Cai
2026Recommending Under-Represented Influential Researchers Using Geographically Aware Contrastive Learning.Arpan Dam, Sougata Roy, Sayan Pathak, Bivas Mitra
2026GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs.Ruifan Chu, Anbang Wang, Xiuxiu Bai, Shuai Liu, Xiaoshe Dong
2026A Novel Hierarchical Multi-agent System for Payments Using LLMs.Joon Kiat Chua, Donghao Huang, Zhaoxia Wang
2026Cloze Your Gaps: Improving Knowledge Extraction via Query Rewriting.Sanghyun Cho, Myeongjin Lee, Jeong Heo, Jong-Hun Shin, Kiyoung Lee, Soojong Lim
2026Beyond Semantics: Exploring Context Ranking Under Knowledge Conflicts.Sanghyun Cho, Myeongjin Lee, Jeong Heo, Jong-Hun Shin, Kiyoung Lee, Soojong Lim
2026HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting.Jung Min Choi, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
2026Comparative Analysis of Formula and Structure Prediction from Tandem Mass Spectra.Xujun Che, Depeng Xu, Xiuxia Du
2026A VMD-Prior-Guided Adaptive Learning Method for Multi-step Industrial Time Series Forecasting.Zhenya Chen, Yameng Zhang, Ming Yang, Xuguo Jiao, Xiaoming Wu, Xin Wang
2026Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning.Aobo Chen, Chenxu Zhao, Chenglin Miao, Mengdi Huai
2026IAMRec: Intent-Adaptive Multimodal Recommendation with Collaborative-Modality Disentanglement.Jiayi Chen, Xin Zheng, Yixin Liu, Yi Li, Yongqiang Guo, Shirui Pan
2026SIMC: LLM-Driven Generative Recommendation with Semantic Item Modeling and Constraints.Minghao Chen, Jiale Zheng
2026ProvGrapher: A Top-K Approximate Tuple-Level Data Provenance Framework via Graph Neural Network.Dehua Chen, Zhifen Yang, Ziteng He
2026Semantic-Driven Object Placement via Multi-modal Large Language Models.Xuzheng Chen, Gang Shen, Rundong Cao, Guojie Song
2026DeltaAug: A Directional Semantic Data Augmentation Framework Guided by Differential Reasoning.Wenhao Chen, He Li, Gang Shen, Rundong Cao, Guojie Song
2026HSGTCN: A Hybrid Semantic-Guided Transformer-CNN Network for Learned Image Compressed Sensing.Zitong Cheng, Yunsen Tang, Fenghua Tong, Ning Liu, Qian Li
2026Self-weighted Contrastive Fusion for Deep Multi-view scRNA-Seq Clustering.Feiyu Chen, Zihao Feng, Zhongyang Zhou, Bin Tang, Shangshang Zhao
2026Evaluation Metrics for Data Valuation Methods.Zhiyu Chen, Jicong Fan
2026A Regime-Aware Fusion Framework for Time Series Classification.Honey Singh Chauhan, Zahraa S. Abdallah
2026PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong.Richard Wai Cheung Chan, Shanru Lin, Ya-Nan Ma, Hao Chen, Liangjun Jiang, Wenqi Fan
276–300 of 3,925← PreviousNext →

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Other A*/A conferences filed under the same field of research.