News:

• 2025.01, Our paper "A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling" has been accepted by the 30th International Conference on Database Systems for Advanced Applications (DASFAA2025).
• 2025.01, Our paper "Topic-Enhanced Argument Mining via Mutual Learning" collaborated with QLU and SEU has been accepted by Frontier of Computer Sciences.
• 2025.01, Our paper "Mining User Preferences from Online Reviews with the Genre-aware Personalized neural Topic Model" has been accepted by International World Wide Web Conference 2025 (WWW-2025) as Oral Presentation.
• 2025.01, Our paper “What are Public’s Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You” has been accepted by Mathematics.
• 2024.12, Our paper “Semi-VFL: Communication-efficient Few-label Vertical Federated Learning with Stacked Generalization and Model-level Consistency” collaborated with USTC and HFUT has been accepted by ICASSP 2025.
• 2024.10, Our paper “Mining Topics towards ChatGPT using Disentangled Contextualized neural Topic Model” has been accepted by The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025).
• 2024.07, Our paper “Bridging spherical mixture distributions and word semantic knowledge for neural topic modeling” has been accepted by Expert Systems with Applications (ESWA).
• 2024.05, Our paper “DCTM: Dual Contrastive Topic Model for identifiable topic extraction” is accepted by Information Processing & Management (IPM).
• 2024.02, Our paper “MIT: Mutual Information Topic Model for Diverse Topic Extraction ” is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).