Miaoxin Chen — accepted AI-conference papers

2024

Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm

Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu +2

ICASSP 2024accepted

Noise is a pervasive issue in recommendation systems, which can stem from user behaviors that do not align with their intentions. As a result, noise reduction has become a prominent area of research in the field of recommendation systems. However, existing noise reduction techniques in recommendatio…

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2022

Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialogue Systems

Miaoxin Chen, Zibo Lin, Rongyi Sun, Kai Ouyang, Hai-Tao Zheng, Rui Xie +1

ICASSP 2022accepted

For task-oriented dialogue systems, Natural Language Generation (NLG) is the last and vital step which aims at generating an appropriate response according to the dialogue act (DA). While end-to-end neural networks have achieved promising performances on this task, the existing models still struggle…

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