5 papers · 1 filter
Towards Unified Multi-task EEG Analysis with Low-Rank Adaptation
Sicheng Dai, Kai Chen, Hongwang Xiao +2
Recent self-supervised pre-training methods for electroencephalogram (EEG) have shown promising results. However, the pre-trained models typically require full fine-tuning on each…
Autoregressive Visual Decoding from EEG Signals
Sicheng Dai, Hongwang Xiao, Shan Yu +1
Electroencephalogram (EEG) signals have become a popular medium for decoding visual information due to their cost-effectiveness and high temporal resolution. However, current appro…
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
Yuancheng Sun, Yuxuan Ren, Zhaoming Chen +3
Accurate exploration of protein conformational ensembles is essential for uncovering function but remains hard because molecular-dynamics (MD) simulations suffer from high computat…
Constraint Decoupled Latent Diffusion for Protein Backmapping
Xu Han, Yuancheng Sun, Kai Chen +3
Coarse-grained (CG) molecular dynamics simulations enable efficient exploration of protein conformational ensembles. However, reconstructing atomic details from CG structures (back…
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction
Yuyan Ni, Shikun Feng, Xin Hong +5
Deep learning methods have been considered promising for accelerating molecular screening in drug discovery and material design. Due to the limited availability of labelled data, v…