1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…