4 citations · 9 across the 6 of their papers we have counts for
6 papers
FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao +3
To accomplish punctuation restoration, most existing methods focus on introducing extra information (e.g., part-of-speech) or addressing the class imbalance problem. Recently, larg…
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination
Tingting Wu, Xiao Ding, Hao Zhang +4
Given data with label noise (i.e., incorrect data), deep neural networks would gradually memorize the label noise and impair model performance. To relieve this issue, curriculum le…
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner +6
Question Answering (QA) systems are increasingly deployed in applications where they support real-world decisions. However, state-of-the-art models rely on deep neural networks, wh…
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks
Rui Ding, Hao Zhang, Fuhui Zhou +2
Automatic modulation classification is of crucial importance in wireless communication networks. Deep learning based automatic modulation classification schemes have attracted exte…
Simultaneous View and Feature Selection for Collaborative Multi-Robot Perception
Brian Reily, Hao Zhang
Collaborative multi-robot perception provides multiple views of an environment, offering varying perspectives to collaboratively understand the environment even when individual rob…
Graph Ordering: Towards the Optimal by Learning
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu +2
Graph representation learning has achieved a remarkable success in many graph-based applications, such as node classification, link prediction, and community detection. These model…