Ao Shen

Orcid: 0009-0004-8304-0397

According to our database1, Ao Shen authored at least 43 papers between 2013 and 2024.

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Bibliography

2024
FSD-Net: a fuzzy semi-supervised distillation network for noise-resistant classification of medical images.
Multim. Tools Appl., November, 2024

SS-Pro: a simplified Siamese contrastive learning approach for protein surface representation.
Frontiers Comput. Sci., October, 2024

Blockchain-Based Resource Allocation Mechanism for the Internet of Vehicles: Balancing Efficiency and Security.
IEEE Trans. Netw. Serv. Manag., August, 2024

A Reliability Assessment Method for Complex Systems Based on Non-Homogeneous Markov Processes.
Sensors, June, 2024

NRD-Net: a noise-resistant distillation network for accurate diagnosis of prostate cancer with bi-parametric MRI images.
Multim. Tools Appl., March, 2024

The Stone Representations for Generalized Continuous Posets.
Appl. Categorical Struct., February, 2024

Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Double laser-faults based PFA on cryptographic circuits with algebraic analysis.
Integr., 2024

EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models.
CoRR, 2024

Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance.
CoRR, 2024

Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction.
Briefings Bioinform., 2024

2023
Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study.
BMC Medical Imaging, December, 2023

ProteinMAE: masked autoencoder for protein surface self-supervised learning.
Bioinform., December, 2023

Reliability Exploration of System-on-Chip With Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., October, 2023

Area and Energy Efficient SOT-MRAM Bit Cell Based on 3 Transistors With Shared Diffusion Regions.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

A Low-Power Sparse Convolutional Neural Network Accelerator With Pre-Encoding Radix-4 Booth Multiplier.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

Vulnerability-Aware Task Scheduling for Edge Intelligence Empowered Trajectory Analysis in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., April, 2023

STAMP-Single Trace Attack on M-LWE Pointwise Multiplication in Kyber.
IACR Cryptol. ePrint Arch., 2023

Marine Debris Detection in Satellite Surveillance using Attention Mechanisms.
CoRR, 2023

Experimental quantum secret sharing based on phase encoding of coherent states.
CoRR, 2023

RedCap In-depth Research and Market Development Prospect.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

Research on Abnormal Energy Consumption Monitoring of Base Station Equipment Based on LightGBM.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

VoNR technology research and evolution prospects.
Proceedings of the 9th International Conference on Communication and Information Processing, 2023

RankSearch: An Automatic Rank Search Towards Optimal Tensor Compression for Video LSTM Networks on Edge.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

Agile Hardware and Software Co-Design for RISC-V-Based Multi-Precision Deep Learning Microprocessor.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
A Fall Detection Network by 2D/3D Spatio-temporal Joint Models with Tensor Compression on Edge.
ACM Trans. Embed. Comput. Syst., November, 2022

Aerosol Characteristics during the COVID-19 Lockdown in China: Optical Properties, Vertical Distribution, and Potential Source.
Remote. Sens., 2022

Community Detection in a Web Discussion Forum During Social Unrest Events.
Proceedings of the Advances in Digital Forensics XVIII, 2022

Attention-Based Densely Connected Convolutional Network for Chromosome Classification.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

ZTEI: Zero-Trust and Edge Intelligence Empowered Continuous Authentication for Satellite Networks.
Proceedings of the IEEE Global Communications Conference, 2022

BaseFormer: Transformer based Base-Caller for Fast and Accurate Next Generation Sequencing.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Region-Based Dense Adversarial Generation for Medical Image Segmentation.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Competition Strategies for Location-Based Mobile Coupon Promotion.
J. Theor. Appl. Electron. Commer. Res., 2021

Transforming and decision-making based on probabilistic linguistic term sets with comparative linguistic expressions and incomplete assessments.
J. Intell. Fuzzy Syst., 2021

Analysis of needs and availability of information on depression based on the ZHIHU Q&A community.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

2020
Time and Location Topic Model for analyzing Lihkg forum data.
Proceedings of the 13th International Conference on Systematic Approaches to Digital Forensic Engineering, 2020

Recognition and Optimization of Atmospheric Duct in TD-LTE System Based on Convolutional Neural Network.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019
A VLP Approach Based on a Single LED Lamp.
Proceedings of the Machine Learning and Intelligent Communications, 2019

2018
Efficient history matching with dimensionality reduction methods for reservoir simulations.
Simul., 2018

2014
The selective use of gaze in automatic speech recognition.
PhD thesis, 2014

Exploiting a 'gaze-Lombard effect' to improve ASR performance in acoustically noisy settings.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Selective use of gaze information to improve ASR performance in noisy environments by cache-based class language model adaptation.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013


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