12 citations · 19 across the 7 of their papers we have counts for
7 papers
PNM: Pixel Null Model for General Image Segmentation
Han Zhang, Zihao Zhang, Wenhao Zheng +1
A major challenge in image segmentation is classifying object boundaries. Recent efforts propose to refine the segmentation result with boundary masks. However, models are still pr…
A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients
Zhijun Zeng, Zhen Hou, Ting Li +10
We develop a deep learning approach to predicting a set of ventilator parameters for a mechanically ventilated septic patient using a long and short term memory (LSTM) recurrent ne…
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework
Han Zhang, Wenhao Zheng, Charley Chen +4
Since the label collecting is prohibitive and time-consuming, unsupervised methods are preferred in applications such as fraud detection. Meanwhile, such applications usually requi…
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
He Huang, Yuanwei Chen, Wei Tang +4
Multi-label zero-shot classification aims to predict multiple unseen class labels for an input image. It is more challenging than its single-label counterpart. On one hand, the unc…
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
Shu-Ting Shi, Wenhao Zheng, Jun Tang +4
Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation. Recently, deep learning models have been proposed to learn the rep…
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng +10
Internet companies are facing the need for handling large-scale machine learning applications on a daily basis and distributed implementation of machine learning algorithms which c…