3 papers
cs.CL2024
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
Chunyuan Yuan, Ming Pang, Zheng Fang +3
Query intent classification is an essential module for customers to find desired products on the e-commerce application quickly. Most existing query intent classification methods r…
cs.IR2023
Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search
Kun-Peng Ning, Ming Pang, Zheng Fang +6
Search query classification, as an effective way to understand user intents, is of great importance in real-world online ads systems. To ensure a lower latency, a shallow model (e.…
cs.CR2022
Data Provenance via Differential Auditing
Xin Mu, Ming Pang, Feida Zhu
Auditing Data Provenance (ADP), i.e., auditing if a certain piece of data has been used to train a machine learning model, is an important problem in data provenance. The feasibili…