69 citations · 126 across the 6 of their papers we have counts for
8 papers
Automatic Intent-Slot Induction for Dialogue Systems
Zengfeng Zeng, Dan Ma, Haiqin Yang +2
Automatically and accurately identifying user intents and filling the associated slots from their spoken language are critical to the success of dialogue systems. Traditional metho…
An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance
Chen Chai, Juanwu Lu, Xuan Jiang +2
With the enrichment of smartphones, driving distractions caused by phone usages have become a threat to driving safety. A promising way to mitigate driving distractions is to detec…
An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification
Yue Ma, Zengfeng Zeng, Dawei Zhu +5
This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking. The goal of this task is to predict the intents and slots in each user turn to complete…
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
Wenshuai Zhao, Zengfeng Zeng
U-Net has achieved huge success in various medical image segmentation challenges. Kinds of new architectures with bells and whistles might succeed in certain dataset when employed…
Graph Convolutional Neural Networks for Polymers Property Prediction
Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng +3
A fast and accurate predictive tool for polymer properties is demanding and will pave the way to iterative inverse design. In this work, we apply graph convolutional neural network…
End-to-End Video Classification with Knowledge Graphs
Fang Yuan, Zhe Wang, Jie Lin +4
Video understanding has attracted much research attention especially since the recent availability of large-scale video benchmarks. In this paper, we address the problem of multi-l…