11 citations · 15 across the 6 of their papers we have counts for
6 papers
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Weiran Wang, Xintong Huo, Yueying Wang +7
Materials property prediction remains difficult in low-data settings, where many target properties are supported by only a limited number of labeled samples. Models with the strong…
Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms
Kewei Li, Yanwen Kong, Yiping Xu +4
Since the emergence of research on improving the length extrapolation capabilities of large language models in 2021, some studies have made modifications to the scaling factor in t…
AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides
Kewei Li, Yuqian Wu, Yinheng Li +7
Since the mechanism of action of drug molecules in the human body is difficult to reproduce in the in vitro environment, it becomes difficult to reveal the causes of the activity c…
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
Ruochi Zhang, Haoran Wu, Chang Liu +8
Recent advances in protein language models have catalyzed significant progress in peptide sequence representation. Despite extensive exploration in this field, pre-trained models t…
An FEA surrogate model with Boundary Oriented Graph Embedding approach
Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy +3
In this work, we present a Boundary Oriented Graph Embedding (BOGE) approach for the Graph Neural Network (GNN) to serve as a general surrogate model for regressing physical fields…
Heuristic Black-box Adversarial Attacks on Video Recognition Models
Zhipeng Wei, Jingjing Chen, Xingxing Wei +4
We study the problem of attacking video recognition models in the black-box setting, where the model information is unknown and the adversary can only make queries to detect the pr…