2 citations · 2 across the 4 of their papers we have counts for
4 papers
GenTT: Generate Vectorized Codes for General Tensor Permutation
Yaojian Chen, Tianyu Ma, An Yang +3
Tensor permutation is a fundamental operation widely applied in AI, tensor networks, and related fields. However, it is extremely complex, and different shapes and permutation maps…
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
Chiwei Zhu, Benfeng Xu, An Yang +4
Training language models with rationales augmentation has been shown to be beneficial in many existing works. In this paper, we identify that such a prevailing view does not hold c…
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
Htoo Wai Aung, Jiao Jiao Li, Yang An +1
Brain-Computer Interfaces (BCIs) rely on accurately decoding electroencephalography (EEG) motor imagery (MI) signals for effective device control. Graph Neural Networks (GNNs) outp…
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
Htoo Wai Aung, Jiao Jiao Li, Yang An +1
Brain-Computer Interfaces connect the brain to external control devices, necessitating the accurate translation of brain signals such as from electroencephalography (EEG) into exec…