15 citations · 31 across the 8 of their papers we have counts for
8 papers
SPGM: Prioritizing Local Features for enhanced speech separation performance
Jia Qi Yip, Shengkui Zhao, Yukun Ma +8
Dual-path is a popular architecture for speech separation models (e.g. Sepformer) which splits long sequences into overlapping chunks for its intra- and inter-blocks that separatel…
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models
Jinjie Ni, Yukun Ma, Wen Wang +7
Learning on a massive amount of speech corpus leads to the recent success of many self-supervised speech models. With knowledge distillation, these models may also benefit from the…
Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
Tianyu Li, Chien-Chih Wang, Yukun Ma +4
Existing algorithms aiming to learn a binary classifier from positive (P) and unlabeled (U) data generally require estimating the class prior or label noises ahead of building a cl…
Multiway Cluster Robust Double/Debiased Machine Learning
Harold D. Chiang, Kengo Kato, Yukun Ma +1
This paper investigates double/debiased machine learning (DML) under multiway clustered sampling environments. We propose a novel multiway cross fitting algorithm and a multiway DM…
Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization
Zhuoran Yu, Aojun Zhou, Yukun Ma +3
Standard convolutional neural networks(CNNs) require consistent image resolutions in both training and testing phase. However, in practice, testing with smaller image sizes is nece…
Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning
Haiyun Peng, Yukun Ma, Soujanya Poria +2
The Chinese pronunciation system offers two characteristics that distinguish it from other languages: deep phonemic orthography and intonation variations. We are the first to argue…
Deep Heterogeneous Autoencoders for Collaborative Filtering
Tianyu Li, Yukun Ma, Jiu Xu +3
This paper leverages heterogeneous auxiliary information to address the data sparsity problem of recommender systems. We propose a model that learns a shared feature space from het…
Concept-Based Embeddings for Natural Language Processing
Yukun Ma, Erik Cambria
In this work, we focus on effectively leveraging and integrating information from concept-level as well as word-level via projecting concepts and words into a lower dimensional spa…