most citedA large-scale multimodal dataset of human speech recognition

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP20231 cited

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Yao Ge, Lei Liu, Shunqi Huang +3

Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal spa…

eess.SP20232 cited

A large-scale multimodal dataset of human speech recognition

Yao Ge, Chong Tang, Haobo Li +6

Nowadays, non-privacy small-scale motion detection has attracted an increasing amount of research in remote sensing in speech recognition. These new modalities are employed to enha…

cs.LG2023

Scalable Attribution of Adversarial Attacks via Multi-Task Learning

Zhongyi Guo, Keji Han, Yao Ge +2

Deep neural networks (DNNs) can be easily fooled by adversarial attacks during inference phase when attackers add imperceptible perturbations to original examples, i.e., adversaria…

eess.SP20231 cited

OTFS Signaling for SCMA With Coordinated Multi-Point Vehicle Communications

Yao Ge, Qinwen Deng, David González G. +2

This paper investigates an uplink coordinated multi-point (CoMP) coverage scenario, in which multiple mobile users are grouped for sparse code multiple access (SCMA), and served by…

cs.IT2022

Delay-Doppler Reversal for OTFS System in Doubly-selective Fading Channels

Xiangxiang Li, Haiyan Wang, Yao Ge +2

The recent proposed orthogonal time frequency space (OTFS) modulation shows signifcant advantages than conventional orthogonal frequency division multiplexing (OFDM) for high mobil…