Ao Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Oversampling multi-label data based on natural neighbor and label correlation.
Expert Syst. Appl., 2025

2024
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices.
IEEE Trans. Computers, December, 2024

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction.
CoRR, 2024

Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples.
CoRR, 2024

Architectural Implications of GNN Aggregation Programming Abstractions.
IEEE Comput. Archit. Lett., 2024

AEMLO: AutoEncoder-Guided Multi-label Oversampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Key Areas of Ecological Restoration in Inner Mongolia Based on Ecosystem Vulnerability and Ecosystem Service.
Remote. Sens., 2022

DP-Nets: Dynamic programming assisted quantization schemes for DNN compression and acceleration.
Integr., 2022

2021
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
CoRR, 2021

Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

2020
DP-Net: Dynamic Programming Guided Deep Neural Network Compression.
CoRR, 2020

An adaptive Bernstein-Bézier finite element method for heat transfer analysis in welding.
Adv. Eng. Softw., 2020

2018
Efficient request assignment algorithm in mobile cloud computing environment.
Int. J. Web Grid Serv., 2018

Fast and robust misalignment correction of Fourier ptychographic microscopy.
CoRR, 2018


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