Yao Rong

Orcid: 0000-0002-6031-3741

According to our database1, Yao Rong authored at least 64 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Improving the Gross Primary Productivity Estimation by Simulating the Maximum Carboxylation Rate of Maize Using Leaf Age.
Remote. Sens., August, 2024

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Promoting Human-Centered AI by Integrating Human Factors into Model Design (Förderung von menschenzentrierter KI durch die Integration menschlicher Faktoren in das Modell-Design)
PhD thesis, 2024

Benchmarking Large Language Models for Math Reasoning Tasks.
CoRR, 2024

Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm.
CoRR, 2024

New Ensemble Domain Decomposition Method for the Steady-state Random Stokes-Darcy Coupled Problems with Uncertain Parameters.
CoRR, 2024

Pre-training on High Definition X-ray Images: An Experimental Study.
CoRR, 2024

Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners.
CoRR, 2024

State Space Model for New-Generation Network Alternative to Transformers: A Survey.
CoRR, 2024

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models.
CoRR, 2024

Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention.
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024

A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos.
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024

P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

I-CEE: Tailoring Explanations of Image Classification Models to User Expertise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
IoT adaptive threshold energy management algorithm based on energy harvesting.
Ad Hoc Networks, October, 2023

Local and parallel finite element algorithms for magnetohydrodynamic flows with low electromagnetic Reynolds number.
Numer. Algorithms, August, 2023

A Study of Numerical Pollution of the Decoupled Algorithm for the Convection Model in Superposed Fluid and Porous Layers.
SIAM J. Numer. Anal., April, 2023

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition.
CoRR, 2023

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition.
CoRR, 2023

Efficient GNN Explanation via Learning Removal-based Attribution.
CoRR, 2023

Numerical analysis of two-grid decoupled finite element algorithm for a coupled Darcy/Darcy fracture model.
Appl. Math. Lett., 2023

When are post-hoc conceptual explanations identifiable?
Proceedings of the Uncertainty in Artificial Intelligence, 2023

DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bearing Fault Diagnosis Based on Wavelet Transform and Convolution Neural Network.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Adaptive Radar Detection in Gaussian Interference Using Clutter-Free Training Data.
IEEE Trans. Signal Process., 2022

Detection of a Rare Multichannel Gaussian Signal via Higher Criticism.
IEEE Signal Process. Lett., 2022

Where and What: Driver Attention-based Object Detection.
Proc. ACM Hum. Comput. Interact., 2022

Artificial Intelligence Methods in In-Cabin Use Cases: A Survey.
IEEE Intell. Transp. Syst. Mag., 2022

Towards Human-centered Explainable AI: User Studies for Model Explanations.
CoRR, 2022

Disentangling Embedding Spaces with Minimal Distributional Assumptions.
CoRR, 2022

User Trust on an Explainable AI-based Medical Diagnosis Support System.
CoRR, 2022

Evaluating Feature Attribution: An Information-Theoretic Perspective.
CoRR, 2022

A second order partitioned method with grad-div stabilization for the non-stationary dual-porosity-Stokes model.
Comput. Math. Appl., 2022

A Consistent and Efficient Evaluation Strategy for Attribution Methods.
Proceedings of the International Conference on Machine Learning, 2022

Adaptive CFAR Detectors for Colocated MIMO Radar in Compound Gaussian Clutter.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Estimation of the Number of Signals in White Noise via Large-Sample and High-Dimensional Asymptotic Theory.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Correction to "Information Geometric Approach to Multisensor Estimation Fusion".
IEEE Trans. Signal Process., 2021

Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invariance Theory.
IEEE Trans. Signal Process., 2021

Riemannian Lp Center of Mass for Scatter Matrix Estimation in Complex Elliptically Symmetric Distributions.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Human Attention in Fine-grained Classification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Invariance Theory for Adaptive Detection in Non-Gaussian Clutter.
IEEE Trans. Signal Process., 2020

Diffuse Multipath Exploitation for Adaptive Detection of Range Distributed Targets.
IEEE Trans. Signal Process., 2020

A second-order artificial compression method for the evolutionary Stokes-Darcy system.
Numer. Algorithms, 2020

Numerical Analysis of a BDF2 Modular Grad-Div Stabilization Method for the Navier-Stokes Equations.
J. Sci. Comput., 2020

Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Automatically Tunable AMF for Radar Detection in Diffuse Multipath.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Explainable Online Validation of Machine Learning Models for Practical Applications.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Information Geometric Approach to Multisensor Estimation Fusion.
IEEE Trans. Signal Process., 2019

Adaptive Radar Detection in Gaussian Disturbance With Structured Covariance Matrix via Invariance Theory.
IEEE Trans. Signal Process., 2019

Estimation fusion for distributed multi-sensor systems with uncertain cross-correlations.
Int. J. Syst. Sci., 2019

Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Markov and Conditionally Markov Processes: from Gaussian to Elliptical.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Numerical Analysis of an Artificial Compression Method for Magnetohydrodynamic Flows at Low Magnetic Reynolds Numbers.
J. Sci. Comput., 2018

Signal Detection with Elliptically Distributed Observations in Sensor Arrays.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance.
IEEE Trans. Signal Process., 2017

Intrinsic Losses Based on Information Geometry and Their Applications.
Entropy, 2017

Numerical analysis of a second order algorithm for simplified magnetohydrodynamic flows.
Adv. Comput. Math., 2017

2016
Information-geometric methods for distributed multi-sensor estimation fusion.
Proceedings of the 19th International Conference on Information Fusion, 2016

2014
Applying support vector regression analysis on grip force level-related corticomuscular coherence.
J. Comput. Neurosci., 2014

2013
curso: protect yourself from curse of attribute inference: a social network privacy-analyzer.
Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, 2013

2010
Design and Implementation of a Novel General-purpose Enterprise Application Business Infrastructure Software Platform.
J. Digit. Content Technol. its Appl., 2010


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