most citedTraining Quantized Nets: A Deeper Understanding

94 citations · 268 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CL20172 cited

Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation

Boyuan Pan, Hao Li, Zhou Zhao +2

In this paper, we consider the problem of machine reading task when the questions are in the form of keywords, rather than natural language. In recent years, researchers have achie…

cs.AI20171 cited

Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method

Hao Li, Zhijian Liu

Measuring the performance of solar energy and heat transfer systems requires a lot of time, economic cost and manpower. Meanwhile, directly predicting their performance is challeng…

cs.SD20172 cited

Using Optimal Ratio Mask as Training Target for Supervised Speech Separation

Shasha Xia, Hao Li, Xueliang Zhang

Supervised speech separation uses supervised learning algorithms to learn a mapping from an input noisy signal to an output target. With the fast development of deep learning, supe…

cs.CV201717 cited

Learning Dense Facial Correspondences in Unconstrained Images

Ronald Yu, Shunsuke Saito, Haoxiang Li +2

We present a minimalistic but effective neural network that computes dense facial correspondences in highly unconstrained RGB images. Our network learns a per-pixel flow and a matc…

cs.SD20172 cited

Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising

Hao Li, Xueliang Zhang, Hui Zhang +1

Both reverberation and additive noises degrade the speech quality and intelligibility. Weighted prediction error (WPE) method performs well on the dereverberation but with limitati…

cs.AI201767 cited

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

Boyuan Pan, Hao Li, Zhou Zhao +3

Machine comprehension(MC) style question answering is a representative problem in natural language processing. Previous methods rarely spend time on the improvement of encoding lay…