activity
20182022
most citedBreaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training

9 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model

Qiao Cheng, Jin Huang, Yitao Duan

This paper introduces a new data augmentation method for neural machine translation that can enforce stronger semantic consistency both within and across languages. Our method is b…

cs.CR2020

Octopus: Privacy-Preserving Collaborative Evaluation of Loan Stacking

Yi Li, Kevin Gao, Yitao Duan +1

With the rise of online lenders, the loan stacking problem has become a significant issue in the financial industry. One of the key steps in the fight against it is the querying of…

cs.CL20199 cited

Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training

Qiao Cheng, Meiyuan Fang, Yaqian Han +2

In a pipeline speech translation system, automatic speech recognition (ASR) system will transmit errors in recognition to the downstream machine translation (MT) system. A standard…

cs.DS2018

No Place to Hide: Catching Fraudulent Entities in Tensors

Yikun Ban, Xin Liu, Yitao Duan +2

Many approaches focus on detecting dense blocks in the tensor of multimodal data to prevent fraudulent entities (e.g., accounts, links) from retweet boosting, hashtag hijacking, li…

cs.CR2018

BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection

Yikun Ban, Xin Liu, Tianyi Zhang +4

Frauds severely hurt many kinds of Internet businesses. Group-based fraud detection is a popular methodology to catch fraudsters who unavoidably exhibit synchronized behaviors. We…