Call for papers
LLM4Cluster
Clustering is indispensable in many fields where data is unlabeled, aiming to group similar data points into meaningful clusters. Recent studies have shown that using the world knowledge in the Large Language Models (LLM) can significantly improve the clustering performance. Therefore, the primary goal of this workshop is to investigate how to harness the distinctive strengths and generalization abilities of LLM to address issues such as the vague cluster boundaries, the hard-to-set parameters, and the supervision signals for optimization encountered by conventional/deep clustering methods, and thus to promote the advancement of the clustering domain. The workshop will explore clustering methodologies and practices that extend beyond the specified data types, aiming to reveal the extensive potential of LLM across diverse application contexts.
Topics of interest
We welcome all papers that are related but not limited to the following topics:
Investigation into the reinforcement between LLM and clustering, e.g., low-rank adaptation of LLM by clustering and enhancing clustering stability using LLM
Novel approaches integrating LLM into classical/deep clustering methods
Interpretability of the clustering process leveraging LLM
Efficient clustering models for handling large-scale data
LLM-guided incremental clustering for dynamic data
Generalizable LLM-based clustering models for cross-domain data
Employing multi-modal LLM for multi-view/modal clustering
Leveraging LLM to supply external knowledge for few-shot clustering
Enabling LLM to understand topological information for graph clustering
Utilizing LLM to guide clustering with unknown parameters such as the subspace number and the cluster number
LLM-driven chain-of-thought prompting for advanced clustering and complex problem solving
Establishing new benchmarks and evaluations for clustering assessment
And clustering application papers that are focused on but not limited to the following domains:
Recommender systems
Information retrieval
Computer vision
Natural language processing
Social network analysis
Anomaly detection
Automatic speech recognition
Transportation networks
Artificial intelligence for science/engineering
Financial technology
Recommender systems
Information retrieval
Computer vision
Natural language processing
Social network analysis
Anomaly detection
Automatic speech recognition
Transportation networks
Artificial intelligence for science/engineering
Financial technology
Program
The workshop will be held on November 12th during ICDM 2025.
To be determined
Important dates
Submission deadline: Aug 29, 2025 Sep 05, 2025
Paper notification: Sep 15, 2025 Sep 19, 2025
Early Bird Registration deadline: Sep 24, 2025 Sep 30, 2025
Camera-ready: Sep 25, 2025 Oct 5, 2025. The camera ready submission guide is here.
Workshop: Tentatively on Nov 12, 2025 (the first day)
Submission
All the accepted papers can be up to 10 pages including references in the IEEE 2-column format. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee based on technical quality, relevance to the scope of the conference, originality, significance, and clarity. Manuscripts must be submitted electronically through the online submission system: Submit your paper here. Accepted papers will be included in the ICDM Workshop Proceedings (separate from ICDM Main Conference Proceedings), and each workshop paper requires a full registration. Meanwhile, duplicate submissions of the same paper to more than one ICDM workshop are forbidden.
Organization
Organizing Committee
Program Co-Chairs
Wei Ye, PhD
Tenure-Track Professor
Tongji University, Shanghai Innovation Institute, China
Ye Zhu, PhD
Senior Lecturer
Deakin University, Australia
Sourav Medya, PhD
Assistant Professor
University of Illinois at Chicago, USA
Xin Sun, PhD
Professor
City University of Macau, China
Benjamin Roth, PhD
Professor
University of Vienna, Austria
Christian Böhm, PhD
Professor
University of Vienna, Austria
Claudia Plant, PhD
Professor
University of Vienna, Austria
Publicity Co-Chairs
Wengang Guo
PhD Candidate
Tongji University, China
Chunchun Chen
PhD Candidate
Tongji University, China
Xing Wei
PhD Candidate
Tongji University, China
Program Committee Members
Carolina Atria - University of Vienna, Austria
Linchuan Zhang - Tongji University, China
Zhaokai Sun - Tongji University, China
Maozheng Li - Tongji University, China
Yue Niu - Tongji University, China
Andrii Shkabrii - University of Vienna, Austria
Jiayi Yang - Tongji University, China
Chenrun Wang - Tongji University, China
Chenyi Xiong - Tongji University, China
Yang Liu - Shanghai Innovation Institute, China
Jinyang Wu - Shanghai Innovation Institute, China
Contact for information
If you have any questions regarding the workshop, feel free to reach out to us:
E-mail: yew@tongji.edu.cn, c2chen@tongji.edu.cn
Organization
Organizing Committee
Program Co-Chairs
Wei Ye, PhD Tenure-Track Professor Tongji University, Shanghai Innovation Institute, China
Ye Zhu, PhD Senior Lecturer Deakin University, Australia
Sourav Medya, PhD Assistant Professor University of Illinois at Chicago, USA
Xin Sun, PhD Professor City University of Macau, China
Benjamin Roth, PhD Professor University of Vienna, Austria
Christian Böhm, PhD Professor University of Vienna, Austria
Claudia Plant, PhD Professor University of Vienna, Austria
Publicity Co-Chairs
Wengang Guo PhD Candidate Tongji University, China
Chunchun Chen PhD Candidate Tongji University, China
Xing Wei PhD Candidate Tongji University, China
Program Committee Members
Carolina Atria - University of Vienna, Austria
Linchuan Zhang - Tongji University, China
Zhaokai Sun - Tongji University, China
Maozheng Li - Tongji University, China
Yue Niu - Tongji University, China
Andrii Shkabrii - University of Vienna, Austria
Jiayi Yang - Tongji University, China
Chenrun Wang - Tongji University, China
Chenyi Xiong - Tongji University, China
Yang Liu - Shanghai Innovation Institute, China
Jinyang Wu - Shanghai Innovation Institute, China