7 citations · 7 across the 4 of their papers we have counts for
4 papers
Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer
Xuanhao Mu, Gökhan Demirel, Yuzhe Zhang +3
To bridge the temporal granularity gap in energy network design and operation based on Energy System Models, resampling of time series is required. While conventional upsampling me…
Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in Observations
Yifei Chen, Yuzhe Zhang, Giovanni D'urso +2
Recent developments in imitation learning have considerably advanced robotic manipulation. However, current techniques in imitation learning can suffer from poor generalization, li…
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Yuntao Wei, Yuzhe Zhang, Shuyang Zhang +1
Multimodal depression detection is an important research topic that aims to predict human mental states using multimodal data. Previous methods treat different modalities equally a…
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data
Yuxuan Ou, Yuzhe Zhang, Yuntang Wang +4
Recent advances in supervised deep learning techniques have demonstrated the possibility to remotely measure human physiological vital signs (e.g., photoplethysmograph, heart rate)…