322 citations · 1k across the 47 of their papers we have counts for
8 papers · 1 filter
A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction
Yi Zhang, Xu Sun
Abbreviation is a common phenomenon across languages, especially in Chinese. In most cases, if an expression can be abbreviated, its abbreviation is used more often than its fully…
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
Xu Sun, Weiwei Sun, Shuming Ma +4
Recent systems on structured prediction focus on increasing the level of structural dependencies within the model. However, our study suggests that complex structures entail high o…
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Yi Zhang, Xu Sun, Shuming Ma +2
Existing neural models usually predict the tag of the current token independent of the neighboring tags. The popular LSTM-CRF model considers the tag dependencies between every two…
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe
Alessandro Checco, Gianluca Demartini, Alexander Loeser +7
A core business in the fashion industry is the understanding and prediction of customer needs and trends. Search engines and social networks are at the same time a fundamental brid…
Device-to-Device Load Balancing for Cellular Networks
Lei Deng, Yinghui He, Ying Zhang +5
Small-cell architecture is widely adopted by cellular network operators to increase network capacity. By reducing the size of cells, operators can pack more (low-power) base statio…
The DArk Matter Particle Explorer mission
J. Chang, G. Ambrosi, Q. An +160
The DArk Matter Particle Explorer (DAMPE), one of the four scientific space science missions within the framework of the Strategic Pioneer Program on Space Science of the Chinese A…
Full-Duplex Bidirectional Secure Communications under Perfect and Distributionally Ambiguous Eavesdropper's CSI
Qiang Li, Ying Zhang, Jingran Lin +1
Consider a full-duplex (FD) bidirectional secure communication system, where two communication nodes, named Alice and Bob, simultaneously transmit and receive confidential informat…
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
Ying Zhang, Mohammad Pezeshki, Philemon Brakel +3
Convolutional Neural Networks (CNNs) are effective models for reducing spectral variations and modeling spectral correlations in acoustic features for automatic speech recognition…