PAKDD 2024: Call for Participation

The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), Taipei, Taiwan, May 7–10, 2024
https://pakdd2024.org/

PAKDD is a prestigious and highly selective conference that includes invited talks as well as refereed full research papers. Everyone in the field has many opportunities to learn about cutting-edge research by attending visionary keynote speeches, paper presentations, tutorials, and workshops.

The PAKDD 2024 program includes three keynotes, 177 research paper presentations, two industry sessions, seven tutorials, and six workshops. Please see the program details: https://pakdd2024.org/program-at-a-glance/

Registration:
For participation, register at https://pakdd2024.org/registration/
- Online Registration Deadline: April 7, 2024
- On-site registration: May 7 – 10, 2024

Program Highlights:
------ KEYNOTES ------
https://pakdd2024.org/keynote-speakers/

Keynote 1:
Ed H. Chi (Distinguished Scientist & Research Lead, Google DeepMind)
Title: The LLM (Large Language Model) Revolution: Implications from Chatbots and Tool-use to Reasoning

Keynote 2:
Vipin Kumar (Fellow of the AAAS, ACM, IEEE, and SIAM, Regents Professor and William Norris Endowed Chair, University of Minnesota, USA)
Title: Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges

Keynote 3:
Huan Liu (Fellow of ACM, AAAI, AAAS, and IEEE, Regents Professor / Ira A. Fulton Professor, Arizona State University, USA)
Title: Novel Challenges in Social Media Mining – Embracing LLMs


------ INDUSTRIAL SESSSIONS ------
Session I:
-Dr. Peter Wu, General Manager, ASUS Cloud
-Dr. Wei-Chao Chen, Chief Digital Officer, Inventec Inc.
-Dr. Ryan Chen, General Manager, MediaTek (TBD)
-Dr. Xiaoli Li, Head, MI Dept., I2R, A*STAR

Session II:
-Dr. Tei-Wei Kuo, CTO, Delta Electronics
-Dr. Ted Chang, CTO, Quanta Computer
-Dr. Robert Chen, VP of Engineering, Appier (TBD)

------ TUTORIALS ------
https://pakdd2024.org/accepted-tutorials/

T1: Addressing Geographical Biases in Language Models: A Practical Tutorial
T2: Beyond Point Estimates: Theory & Applications of Uncertainty Estimations
T3: Machine Learning for Streaming Data
T4: Heterogeneity in Federated Learning
T5: Effective Model Reduction for Edge Intelligence
T6: Data Mining in Big Dynamic Networks
T7: PAMI: An Open Source Python Library for Pattern Mining in Big Data

------ WORKSHOPS ------
https://pakdd2024.org/accepted-workshops/

W1: Workshop on Decision Making and Optimization in Financial Technologies (DMO-FinTech)
W2: 6th International Workshop on Utility-Driven Mining and Learning (UDML 2024)
W3: Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing (RAFDA)
W4: Workshop on Learning Data Representation and Clustering
W5: Workshop on Robust Machine Learning in Open Environments
W6: Workshop on Temporal Analytics