88 citations · 196 across the 6 of their papers we have counts for
6 papers
Refined Grey-Box Fuzzing with SIVO
Ivica Nikolic, Radu Mantu, Shiqi Shen +1
We design and implement from scratch a new fuzzer called SIVO that refines multiple stages of grey-box fuzzing. First, SIVO refines data-flow fuzzing in two ways: (a) it provides a…
Localizing Patch Points From One Exploit
Shiqi Shen, Aashish Kolluri, Zhen Dong +2
Automatic patch generation can significantly reduce the window of exposure after a vulnerability is disclosed. Towards this goal, a long-standing problem has been that of patch loc…
THUMT: An Open Source Toolkit for Neural Machine Translation
Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen +4
This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements…
Neural Headline Generation with Sentence-wise Optimization
Ayana, Shiqi Shen, Yu Zhao +2
Recently, neural models have been proposed for headline generation by learning to map documents to headlines with recurrent neural networks. Nevertheless, as traditional neural net…
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
Yong Cheng, Shiqi Shen, Zhongjun He +4
The attentional mechanism has proven to be effective in improving end-to-end neural machine translation. However, due to the intricate structural divergence between natural languag…
Minimum Risk Training for Neural Machine Translation
Shiqi Shen, Yong Cheng, Zhongjun He +4
We propose minimum risk training for end-to-end neural machine translation. Unlike conventional maximum likelihood estimation, minimum risk training is capable of optimizing model…