Yixuan Sun

Orcid: 0000-0002-7493-5752

According to our database1, Yixuan Sun authored at least 49 papers between 2017 and 2025.

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

Timeline

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On csauthors.net:

Bibliography

2025
DSparse: A Distributed Training Method for Edge Clusters Based on Sparse Update.
J. Comput. Sci. Technol., May, 2025

Efficient Flow Matching using Latent Variables.
CoRR, May, 2025

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks.
CoRR, March, 2025

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting.
CoRR, March, 2025

Comparative Analysis of SWH Retrieval Between BDS-R and GPS-R Utilizing FY-3E/GNOS-II Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Simulation Analysis of Inverting Marine Vertical Deflection Using Spaceborne GNSS-R Interferometric Altimetry.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Layered Fusion Reconstruction Based on Fuzzy Features for Multi-Conductivity Electrical Impedance Tomography.
Sensors, June, 2024

Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tomography.
Sensors, January, 2024

A safe reinforcement learning algorithm for supervisory control of power plants.
Knowl. Based Syst., 2024

Quality-aware Masked Diffusion Transformer for Enhanced Music Generation.
CoRR, 2024

Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach.
CoRR, 2024

Enabling 13K-Atom Excited-State GW Calculations via Low-Rank Approximations and HPC on the New Sunway Supercomputer.
Proceedings of the International Conference for High Performance Computing, 2024

Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

Collaborative Refining for Learning from Inaccurate Labels.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Merit of River Network Topology for Neural Flood Forecasting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Wirelessly Powered Drug-Free and Anti-Infective Smart Bandage for Chronic Wound Care.
IEEE Trans. Biomed. Circuits Syst., October, 2023

Path guided motion synthesis for Drosophila larvae.
Frontiers Inf. Technol. Electron. Eng., October, 2023

DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems.
IEEE Syst. J., September, 2023

A review on multimodal zero-shot learning.
WIREs Data. Mining. Knowl. Discov., 2023

Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models.
CoRR, 2023

Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives.
CoRR, 2023

A Framework for Detecting Frauds from Extremely Few Labels.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Collision-free Coverage Path Planning for the Variable-speed Curvature-constrained Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Treatment Effect Estimation across Domains.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Vapor-liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networks.
J. Comput. Appl. Math., 2022

A systematic review on affective computing: emotion models, databases, and recent advances.
Inf. Fusion, 2022

A survey of human-in-the-loop for machine learning.
Future Gener. Comput. Syst., 2022

An improved judgement algorithm of point in-out convex polygons.
CoRR, 2022

DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hebo System: Trusted Copyright Authorization in Computer Networks.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A data-centric weak supervised learning for highway traffic incident detection.
CoRR, 2021

2020
Counting Crowds with Perspective Distortion Correction via Adaptive Learning.
Sensors, 2020

Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray.
CoRR, 2020

Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks.
CoRR, 2020

Feasibility Analysis and Suitable Antenna Directions of IGNSS-R Altimetry Measurement for Avoiding the Intersatellite Interference.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning.
IEEE Access, 2019

2018
Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
A upper limb rehabilitation system with motion intention detection.
Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017


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