Papers by Ying Wenjie
BCTH: A Novel Text Hashing Approach via Bayesian Clustering (2020.aacl-main)
Copied to clipboard
| Challenge: | Similarity search is a promising strategy to find the most similar items for a given query item. |
| Approach: | They propose to utilize Bayesian Clustering for Text Hashing to map documents to binary codes by utilizing multiple Bayessian Clusters in parallel. |
| Outcome: | The proposed approach is competitive compared with baselines in the perspective of precision and training speed. |
Empowering Tabular Data Preparation with Language Models: Why and How? (2026.acl-long)
Copied to clipboard
Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang, Kai Wang, Xuemin Lin, Ying Zhang, Wenjie Zhang
| Challenge: | Tabular data preparation is a critical step in enhancing the usability of tabular data. |
| Approach: | They analyze how LMs can be combined with other components for different tabular data preparation tasks. |
| Outcome: | The proposed methods lack the ability to capture the relationships within tables and adapt to the tasks involved. |
Agent-based Substructure Counting under Local Differential Privacy (2026.acl-long)
Copied to clipboard
| Challenge: | Recent studies have demonstrated the ability of Large Language Models (LLMs) to process graph problems. |
| Approach: | They propose to decompose substructure counting into node-level tasks distributed among node agents and embed the knowledge of distributed algorithms and DP frameworks in the curator agent and privacy controller. |
| Outcome: | Extensive experiments on 6 real-world datasets validate the effectiveness of the proposed framework for substructure counting tasks under edge local differential privacy (LDP). |