Ziyu Li

Orcid: 0000-0001-9403-572X

According to our database1, Ziyu Li authored at least 61 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding.
IEEE J. Biomed. Health Informatics, January, 2024

SPFormer: Self-Pooling Transformer for Few-Shot Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs.
CoRR, 2024

2023
Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis.
BMC Medical Informatics Decis. Mak., December, 2023

Sentiment Analysis on Online Videos by Time-Sync Comments.
Entropy, July, 2023

Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat).
Medical Image Anal., May, 2023

LiDAR-only 3D object detection based on spatial context.
J. Vis. Commun. Image Represent., May, 2023

Beyond Eliminating Timing Margin: An Efficient and Reliable Negative Margin Timing Error Detection for Neural Network Accelerator Without Accuracy Loss.
IEEE J. Solid State Circuits, May, 2023

Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method.
IEEE J. Biomed. Health Informatics, 2023

Robust Beamforming Design for RIS-Aided NOMA Secure Networks With Transceiver Hardware Impairments.
IEEE Trans. Commun., 2023

Remote Sensing Image Retrieval in the Past Decade: Achievements, Challenges, and Future Directions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Algorithm for optimized mRNA design improves stability and immunogenicity.
Nat., 2023

Metadata Representations for Queryable Repositories of Machine Learning Models.
IEEE Access, 2023

A Subject-Adaptive Brain State Decoding Model via Ensemble Transfer Learning.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Optimizing ML Inference Queries Under Constraints.
Proceedings of the Web Engineering - 23rd International Conference, 2023

Macaroni: Crawling and Enriching Metadata from Public Model Zoos.
Proceedings of the Web Engineering - 23rd International Conference, 2023

Optimizing Machine Learning Inference Queries for Multiple Objectives.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Amalur: Data Integration Meets Machine Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SCoTTi: Save Computation at Training Time with an adaptive framework.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Link State Based Routing and Scheduling Co-Design of Time-Triggered Traffic in Time-Sensitive Networking.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Genetic algorithm and dynamic planning based airline shipment optimization system.
Proceedings of the 2023 4th International Conference on Computing, 2023

TEPD: A Compound Timing Detection of Both Data-Transition and Path-Activation for Reliable In-Situ Timing Error Detection and Correction in 28nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022
Detecting Ethereum Ponzi Schemes Based on Improved LightGBM Algorithm.
IEEE Trans. Comput. Soc. Syst., 2022

The Recognition of Multiple Anxiety Levels Based on Electroencephalograph.
IEEE Trans. Affect. Comput., 2022

Transactional Network Analysis and Money Laundering Behavior Identification of Central Bank Digital Currency of China.
J. Soc. Comput., 2022

Spatial information enhancement network for 3D object detection from point cloud.
Pattern Recognit., 2022

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.
NeuroImage, 2022

Metadata Representations for Queryable ML Model Zoos.
CoRR, 2022

Union Embedding and Backbone-Attention boost Zero-Shot Learning Model (UBZSL).
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

An A3C Deep Reinforcement Learning FPGA Accelerator based on Heterogeneous Compute Units.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Stock Price Forecasting: An Echo State Network Approach.
Comput. Syst. Sci. Eng., 2021

3D Point Cloud Reconstruction and SLAM as an Input.
CoRR, 2021

Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI.
CoRR, 2021

SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud.
CoRR, 2021

SRDTI: Deep learning-based super-resolution for diffusion tensor MRI.
CoRR, 2021

Fault Diagnosis of ZD6 Turnout System Based on Wavelet Transform and GAPSO-FCM.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Energy-Efficient Design of Large Fan-in Dynamic One-hot Multiplexer in 28nm CMOS Technology.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

Implementation of Reconfigurable CNN-LSTM Accelerator Based on FPGA.
Proceedings of the 21st International Conference on Communication Technology, 2021

Design and Implementation of OpenCL-Based FPGA Accelerator for YOLOv2.
Proceedings of the 21st International Conference on Communication Technology, 2021

Towards Unified Surgical Skill Assessment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

An Efficient and Reliable Negative Margin Timing Error Detection for Neural Network Accelerator without Accuracy Loss in 28nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2020
Susceptible-infected-spreading-based network embedding in static and temporal networks.
EPJ Data Sci., 2020

SI-spreading-based network embedding in static and temporal networks.
CoRR, 2020

Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.
Int. J. Comput. Assist. Radiol. Surg., 2020

A multi-task Faster R-CNN method for 3D vehicle detection based on a single image.
Appl. Soft Comput., 2020

Complex Event Processing on Real-time Video Streams.
Proceedings of the VLDB 2020 PhD Workshop co-located with the 46th International Conference on Very Large Databases (VLDB 2020), ONLINE, August 31, 2020

Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A replica storage optimal method for HDFS: based on SVM.
Proceedings of the ICCBDC '20: 2020 4th International Conference on Cloud and Big Data Computing, 2020

2019
Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Robust Facial Landmark Detector with Mixed Loss.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

A Refined 3D Pose Dataset for Fine-Grained Object Categories.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Working Memory Training Using EEG Neurofeedback Based on Theta Coherence of Brain Regions.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories.
CoRR, 2018

2017
Analysis of Airport Departure Baggage Check-in Process Based on Passenger Behavior.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Research on Ferry Vehicle Scheduling Problem Within Airport Operations.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

2016
Fast Algorithms for Verifying Centrosymmetric Solutions of Sylvester Matrix Equations.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Verified Error Bounds for Symmetric Solutions of Operator Matrix Equations.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Optimizing VM live migration strategy based on migration time cost modeling.
Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems, 2016

2015
A Verified Algorithm for the Centrosymmetric Solution of Sylvester Matrix Equations.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

The Study on Dynamic Conditional Correlation-GARCH Model and its Application.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015


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