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07/27/2023
IML-ViT: Image Manipulation Localization by Vision Transformer
Advanced image tampering techniques are increasingly challenging the tru...
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05/09/2023
GPT-NAS: Neural Architecture Search with the Generative Pre-Trained Model
Neural Architecture Search (NAS) has emerged as one of the effective met...
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10/26/2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
Self-supervised learning has gradually emerged as a powerful technique f...
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10/01/2021
Simulated annealing for optimization of graphs and sequences
Optimization of discrete structures aims at generating a new structure w...
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09/20/2021
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Emotion recognition plays a vital role in human-machine interactions and...
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08/28/2020
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity
Modeling the effects of mutations on the binding affinity plays a crucia...
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09/09/2019
Unsupervised Paraphrasing by Simulated Annealing
Unsupervised paraphrase generation is a promising and important research...
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09/22/2018
Shift-based Primitives for Efficient Convolutional Neural Networks
We propose a collection of three shift-based primitives for building eff...
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07/06/2018
JUMPER: Learning When to Make Classification Decisions in Reading
In early years, text classification is typically accomplished by feature...
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05/17/2018
Deep-learning Based Modeling of Fault Detachment Stability for Power Grid
The project intends to model the stability of power system with a deep l...
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09/26/2017