67 citations · 96 across the 4 of their papers we have counts for
4 papers
A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery
Hanlei Zhang, Hua Xu, Xin Wang +2
New intent discovery is of great value to natural language processing, allowing for a better understanding of user needs and providing friendly services. However, most existing met…
MIntRec: A New Dataset for Multimodal Intent Recognition
Hanlei Zhang, Hua Xu, Xin Wang +3
Multimodal intent recognition is a significant task for understanding human language in real-world multimodal scenes. Most existing intent recognition methods have limitations in l…
Detecting Deep Neural Network Defects with Data Flow Analysis
Jiazhen Gu, Huanlin Xu, Yangfan Zhou +3
Deep neural networks (DNNs) are shown to be promising solutions in many challenging artificial intelligence tasks. However, it is very hard to figure out whether the low precision…
Data Sanity Check for Deep Learning Systems via Learnt Assertions
Haochuan Lu, Huanlin Xu, Nana Liu +2
Reliability is a critical consideration to DL-based systems. But the statistical nature of DL makes it quite vulnerable to invalid inputs, i.e., those cases that are not considered…