Qing Yin — accepted AI-conference papers

2025

Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks

Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong +2

IJCAI 2025

On-device sequential recommendation (SR) systems are designed to make local inferences using real-time features, thereby alleviating the communication burden on server-based recommenders when handling concurrent requests from millions of users. However, the resource constraints of edge devices, incl

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2022

Improving Deep Embedded Clustering via Learning Cluster-level Representations

Qing Yin, Zhihua Wang, Yunya Song, Yida Xu, Shuai Niu, Liang Bai +2

COLING 2022main

Driven by recent advances in neural networks, various Deep Embedding Clustering (DEC) based short text clustering models are being developed. In these works, latent representation learning and text clustering are performed simultaneously. Although these methods are becoming increasingly popular, the…

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