activity
20172020
most citedCross-lingual Information Retrieval with BERT

22 citations · 32 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL20202 cited

Speech Synthesis as Augmentation for Low-Resource ASR

Deblin Bagchi, Shannon Wotherspoon, Zhuolin Jiang +1

Speech synthesis might hold the key to low-resource speech recognition. Data augmentation techniques have become an essential part of modern speech recognition training. Yet, they…

cs.CV20202 cited

Learning from Noisy Labels with Noise Modeling Network

Zhuolin Jiang, Jan Silovsky, Man-Hung Siu +3

Multi-label image classification has generated significant interest in recent years and the performance of such systems often suffers from the not so infrequent occurrence of incor…

cs.CL20204 cited

Combining Word Embeddings and N-grams for Unsupervised Document Summarization

Zhuolin Jiang, Manaj Srivastava, Sanjay Krishna +2

Graph-based extractive document summarization relies on the quality of the sentence similarity graph. Bag-of-words or tf-idf based sentence similarity uses exact word matching, but…

cs.IR202022 cited

Cross-lingual Information Retrieval with BERT

Zhuolin Jiang, Amro El-Jaroudi, William Hartmann +2

Multiple neural language models have been developed recently, e.g., BERT and XLNet, and achieved impressive results in various NLP tasks including sentence classification, question…

cs.LG2019

Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data

Herbert Gish, Jan Silovsky, Man-Ling Sung +3

We investigate the problem of machine learning with mislabeled training data. We try to make the effects of mislabeled training better understood through analysis of the basic mode…

cs.CV20172 cited

Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks

Zhuolin Jiang, Viktor Rozgic, Sancar Adali

Infrared (IR) imaging has the potential to enable more robust action recognition systems compared to visible spectrum cameras due to lower sensitivity to lighting conditions and ap…