2 citations · 3 across the 4 of their papers we have counts for
5 papers
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition
Jingjing Xu, Wei Zhou, Zijian Yang +2
Varying-size models are often required to deploy ASR systems under different hardware and/or application constraints such as memory and latency. To avoid redundant training and opt…
Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers
Zijian Yang, Wei Zhou, Ralf Schlüter +1
In this work, we investigate the effect of language models (LMs) with different context lengths and label units (phoneme vs. word) used in sequence discriminative training for phon…
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques
Qi Zhang, Zijian Yang, Yilun Huang +6
In this paper, we present our solution to the Multilingual Information Retrieval Across a Continuum of Languages (MIRACL) challenge of WSDM CUP 2023\footnote{https://project-miracl…
A Semantic Alignment System for Multilingual Query-Product Retrieval
Qi Zhang, Zijian Yang, Yilun Huang +6
This paper mainly describes our winning solution (team name: www) to Amazon ESCI Challenge of KDD CUP 2022, which achieves a NDCG score of 0.9043 and wins the first place on task 1…
An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models
Qi Zhang, Zijian Yang, Yilun Huang +2
The Cross-Market Recommendation task of WSDM CUP 2022 is about finding solutions to improve individual recommendation systems in resource-scarce target markets by leveraging data f…