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05/31/2023
Catalysis distillation neural network for the few shot open catalyst challenge
The integration of artificial intelligence and science has resulted in s...
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04/11/2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Anomaly detection on attributed graphs is a crucial topic for its practi...
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02/28/2023
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling
The simulation of large-scale systems with complex electron interactions...
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06/07/2022
TadML: A fast temporal action detection with Mechanics-MLP
Temporal Action Detection(TAD) is a crucial but challenging task in vide...
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01/23/2022
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols
Applying AI power to predict syntheses of novel materials requires high-...
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11/04/2021
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
Salient object detection plays an important role in many downstream task...
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05/23/2018
