5 papers
Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection
Tianlin Zhang, En Yu, Yi Shao +1
Multimodal fake news detection has garnered significant attention due to its profound implications for social security. While existing approaches have contributed to understanding…
Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
HongXin Xie, JianDe Sun, Yi Shao +4
Olfactory perception plays a critical role in both human and organismal interactions, yet understanding of its underlying mechanisms and influencing factors remain insufficient. Mo…
Molecular Odor Prediction with Harmonic Modulated Feature Mapping and Chemically-Informed Loss
HongXin Xie, JianDe Sun, Yi Shao +4
Molecular odor prediction has great potential across diverse fields such as chemistry, pharmaceuticals, and environmental science, enabling the rapid design of new materials and en…
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
Xinlong Zhao, Jiande Sun, Jia Zhang +4
Predicting the performance of deep learning (DL) models, such as execution time and resource utilization, is crucial for Neural Architecture Search (NAS), DL cluster schedulers, an…
HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
Pengcheng Dong, Wenbo Wan, Huaxiang Zhang +3
In recent years, action recognition has received much attention and wide application due to its important role in video understanding. Most of the researches on action recognition…