682 citations · 2.5k across the 94 of their papers we have counts for
14 papers · 1 filter
Contextual-based Image Inpainting: Infer, Match, and Translate
Yuhang Song, Chao Yang, Zhe Lin +4
We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents. To this end, we propose a learning-based approach to g…
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…
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…
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…
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…
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…
An adaptive C0IPG method for the Helmholtz transmission eigenvalue problem
Hao Li, Yidu Yang
The interior penalty methods using Lagrange elements (IPG) developed in the last decade for the fourth order problems are an interesting topic in academia at present. In…
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…
Inspiring Computer Vision System Solutions
Julian Zilly, Amit Boyarski, Micael Carvalho +8
The "digital Michelangelo project" was a seminal computer vision project in the early 2000's that pushed the capabilities of acquisition systems and involved multiple people from d…
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Cong Leng, Hao Li, Shenghuo Zhu +1
Although deep learning models are highly effective for various learning tasks, their high computational costs prohibit the deployment to scenarios where either memory or computatio…
Adaptive Consensus ADMM for Distributed Optimization
Zheng Xu, Gavin Taylor, Hao Li +3
The alternating direction method of multipliers (ADMM) is commonly used for distributed model fitting problems, but its performance and reliability depend strongly on user-defined…
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu +3
Currently, deep neural networks are deployed on low-power portable devices by first training a full-precision model using powerful hardware, and then deriving a corresponding low-p…
EmbedInsight: Automated Grading of Embedded Systems Assignments
Hao Li, Bo-Jhang Ho, Bharathan Balaji +3
Grading in embedded systems courses typically requires a face-to-face appointment between the student and the instructor because of experimental setups that are only available in l…
Big Data Technology Accelerate Genomics Precision Medicine
Hao Li
During genomics life science research, the data volume of whole genomics and life science algorithm is going bigger and bigger, which is calculated as TB, PB or EB etc. The key pro…