193 citations · 1.5k across the 86 of their papers we have counts for
12 papers · 1 filter
The resistance distance and Kirchhoff index on quadrilateral graph and pentagonal graph
Qun Liu, Zhongzhi Zhang
The quadrilateral graph Q(G) is obtained from G by replacing each edge in G with two parallel paths of length 1 and 3, whereas the pentagonal graph W(G) is obtained from G by repla…
Improving the Robustness of Speech Translation
Xiang Li, Haiyang Xue, Wei Chen +3
Although neural machine translation (NMT) has achieved impressive progress recently, it is usually trained on the clean parallel data set and hence cannot work well when the input…
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Longyue Wang, Zhaopeng Tu, Andy Way +1
Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. Recentl…
Speeding Up Neural Machine Translation Decoding by Cube Pruning
Wen Zhang, Liang Huang, Yang Feng +2
Although neural machine translation has achieved promising results, it suffers from slow translation speed. The direct consequence is that a trade-off has to be made between transl…
Adaptive Least-Squares Finite Element Methods for Linear Transport Equations Based on an H(div) Flux Reformulation
Qunjie Liu, Shun Zhang
In this paper, we study the least-squares finite element methods (LSFEM) for the linear hyperbolic transport equations. The linear transport equation naturally allows discontinuous…
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters
Manohar Karki, Qun Liu, Robert DiBiano +2
Classification techniques for images of handwritten characters are susceptible to noise. Quadtrees can be an efficient representation for learning from sparse features. In this pap…
Understanding Meanings in Multilingual Customer Feedback
Chao-Hong Liu, Declan Groves, Akira Hayakawa +2
Understanding and being able to react to customer feedback is the most fundamental task in providing good customer service. However, there are two major obstacles for international…
SafeRNet: Safe Transportation Routing in the era of Internet of Vehicles and Mobile Crowd Sensing
Qun Liu, Suman Kumar, Vijay Mago
World wide road traffic fatality and accident rates are high, and this is true even in technologically advanced countries like the USA. Despite the advances in Intelligent Transpor…
Unsupervised Learning using Pretrained CNN and Associative Memory Bank
Qun Liu, Supratik Mukhopadhyay
Deep Convolutional features extracted from a comprehensive labeled dataset, contain substantial representations which could be effectively used in a new domain. Despite the fact th…
Refining Source Representations with Relation Networks for Neural Machine Translation
Wen Zhang, Jiawei Hu, Yang Feng +1
Although neural machine translation with the encoder-decoder framework has achieved great success recently, it still suffers drawbacks of forgetting distant information, which is a…
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Peyman Passban, Qun Liu, Andy Way
Recently, neural machine translation (NMT) has emerged as a powerful alternative to conventional statistical approaches. However, its performance drops considerably in the presence…
Translating Pro-Drop Languages with Reconstruction Models
Longyue Wang, Zhaopeng Tu, Shuming Shi +3
Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. To date…