Call for Participation

The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2026)
June 9-12, 2026, Hong Kong, China

https://www.pakdd2026.org/

Registration Link:
https://www.pakdd2026.org/registration

Early Registration Deadline: March 29, 2026
Standard Registration Deadline: April 13, 2026
On-site Registration Deadline: June 12, 2026
PAKDD is a prestigious and highly selective conference that includes high-profile keynote and invited talks as well as refereed full research papers. It provides an international peer-reviewed forum for researchers and industry practitioners who are addressing the problems to share their new ideas, original research results, and practical development experiences from all KDD-related areas, including data science, data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and emerging applications. Everyone new to the field has many opportunities to learn about cutting-edge research by attending visionary keynote speeches, paper presentations, tutorials, and workshops.

Program Highlight
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1. 5 Keynote Talks
a. Prof. Zhi-Hua ZHOU (Professor and Vice President, Nanjing University)
b. Prof. Geoff Webb (Professor, Monash University)
c. Dr. Xin Luna Dong (Principal Scientist, Meta Reality Labs)
d. Dr. Xia "Ben" Hu (Lead Scientist, Shanghai AI Laboratory)
e. Dr. Qingsong Wen (Head of AI & Chief Scientist, Squirrel Ai Learning)
2. Award Talks
a. PAKDD Distinguished Research Contributions Award Talk
(by Prof. Jian Pei (Duke University))
b. PAKDD Most Influential Paper Award Talk
(by Truyen Tran (Deakin University))
c. PAKDD Early Career Research Award Talk
(by Guansong Pang (Singapore Management University (SMU)))
3. Conference Panel
a. Moderator:
- Prof. Flora Salim (Professor, University of New South Wales)
b. Panelist:
- Prof. Geoff Webb (Professor, Monash University)
- Dr. Jian Pei (Professor, Duke University)
- Prof. Cyrus Shahabi (Professor, University of Southern California)
- Prof. Xia "Ben" Hu (Lead Scientist, Shanghai AI Laboratory)
4. AI Forum
a. 11 Invited Talks
b. AI Forum Panel
i. Moderator:
- Xike Xie (Suzhou Institute for Advanced Research, University of Science and Technology of China)
- Edison Tsz Nam Chan (Shenzhen University)
ii. Panelist:
- Cyrus Shahabi (University of Southern California)
- Bin Yang (East China Normal University)
- Jianqiu Xu (Nanjing University of Aeronautics and Astronautics)
- Bo Tang (Southern University of Science and Technology)
- Lu Chen (Zhejiang University)
5. Technical Program
a. ~180 research papers (Main, Survey and LLM Tracks)
b. ~100 special session papers (DSFA)
6. 10 Tutorials
a. Generalizability of Large Language Model–Based Agents
b. Function Calling in Large Language Models: From Fundamentals to Industrial Practice
c. Foundations and Recent Advances of Graph Learning: A Perspective from Distances and Representations
d. LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems
e. Towards Autonomous Web Interaction: Empowering WebAgents by Large Foundation Models
f. When RAG Meets LFMs: Towards Retrieval-Augmented Large Foundation Models
g. Trustworthy and Efficient Machine Reasoning with Foundation Models
h. Learning-based Cardinality Estimation: A Data Model-Centric Perspective
i. Data Agents in Database Systems: A Tutorial on Semantic Operators and Agentic Query Processing
j. Mining Network Data in Medicine and Pharmacology
7. 6 Workshops
a. AI and Data Science for Digital Finance
b. The 2nd International Workshop of Decision Making and Optimization in Financial Technologies (DMO-FinTech)
c. Research and Applications of Foundation Models for Data Mining and Affective Computing (RAFDA)
d. Workshop on Autonomous Machine Intelligence: From Theory to Practice (AMI-PAKDD 2026)
e. Efficient Foundation Models for Large-Scale Data Mining
f. JEN-AI 2026: Workshop on Generative AI and Computational Journalism
8. 1 Doctoral Consortium
9. Social Events
a. Welcome Reception (Regal Riverside Hotel)
b. Excursion (Hong Kong Palace Museum)
c. Banquet (Choi Fook Royal Banquet (iSQUARE))