4 citations · 4 across the 2 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025★ 1 cited
Large Language Model is Secretly a Protein Sequence Optimizer
Yinkai Wang, Jiaxing He, Yuanqi Du +5
We consider the protein sequence engineering problem, which aims to find protein sequences with high fitness levels, starting from a given wild-type sequence. Directed evolution ha…
cs.LG2022
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen, Xi Chen, Liping Liu
Variational Graph Autoencoders (VGAEs) are powerful models for unsupervised learning of node representations from graph data. In this work, we systematically analyze modeling node…
cs.LG2020
GAN Ensemble for Anomaly Detection
Xu Han, Xiaohui Chen, Li-Ping Liu
When formulated as an unsupervised learning problem, anomaly detection often requires a model to learn the distribution of normal data. Previous works apply Generative Adversarial…