32 citations · 75 across the 6 of their papers we have counts for
6 papers
HSTF-Model: an HTTP-based Trojan Detection Model via the Hierarchical Spatio-Temporal Features of Traffics
Jiang Xie, Shuhao Lia, Xiaochun Yun +2
HTTP-based Trojan is extremely threatening, and it is difficult to be effectively detected because of its concealment and confusion. Previous detection methods usually are with poo…
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition
Ruchao Fan, Wei Chu, Peng Chang +1
Recently, end-to-end models have been widely used in automatic speech recognition (ASR) systems. Two of the most representative approaches are connectionist temporal classification…
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition
Ruchao Fan, Wei Chu, Peng Chang +2
Non-autoregressive mechanisms can significantly decrease inference time for speech transformers, especially when the single step variant is applied. Previous work on CTC alignment-…
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition
Ruchao Fan, Wei Chu, Peng Chang +1
We propose a CTC alignment-based single step non-autoregressive transformer (CASS-NAT) for speech recognition. Specifically, the CTC alignment contains the information of (a) the n…
Model-Based Manipulation of Linear Flexible Objects with Visual Curvature Feedback
Peng Chang, Taskin Padir
Manipulation of deformable objects is a desired skill in making robots ubiquitous in manufacturing, service, healthcare, and security. Deformable objects are common in our daily li…
Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in Flexible Object Manipulation
Peng Chang, Taskin Padir
This paper addresses a new strategy called Simulation-to-Real-to-Simulation (Sim2Real2Sim) to bridge the gap between simulation and real-world, and automate a flexible object manip…