Design and Implementation of a Novel General-purpose Enterprise Application Business Infrastructure Software Platform. - Yao Rong; Jiandong Wang (J. Digit. Content Technol. its Appl., 2010)

curso: protect yourself from curse of attribute inference: a social network privacy-analyzer. - Eunsu Ryu; Yao Rong; Jie Li; Ashwin Machanavajjhala (DBSocial, 2013)

Applying support vector regression analysis on grip force level-related corticomuscular coherence. - Yao Rong; Xixuan Han; Dongmei Hao; Liu Cao; Qing Wang; Mingai Li; Lijuan Duan; Yanjun Zeng (J. Comput. Neurosci., 2014)

Information-geometric methods for distributed multi-sensor estimation fusion. - Mengjiao Tang; Yao Rong; Jie Zhou 002 (FUSION, 2016)

Numerical analysis of a second order algorithm for simplified magnetohydrodynamic flows. - Yao Rong; Yanren Hou; Yuhong Zhang (Adv. Comput. Math., 2017)

Intrinsic Losses Based on Information Geometry and Their Applications. - Yao Rong; Mengjiao Tang; Jie Zhou 002 (Entropy, 2017)

Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance. - Mengjiao Tang; Yao Rong; Jie Zhou 002; X. Rong Li (IEEE Trans. Signal Process., 2017)

Signal Detection with Elliptically Distributed Observations in Sensor Arrays. - Chen Chen 035; Mengjiao Tang; Jie Zhou 002; Yao Rong (FUSION, 2018)

Numerical Analysis of an Artificial Compression Method for Magnetohydrodynamic Flows at Low Magnetic Reynolds Numbers. - Yao Rong; William J. Layton; Haiyun Zhao (J. Sci. Comput., 2018)

Markov and Conditionally Markov Processes: from Gaussian to Elliptical. - Mengjiao Tang; Yao Rong; X. Rong Li (FUSION, 2019)

Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs. - Okan Köpüklü; Yao Rong; Gerhard Rigoll (ICCV Workshops, 2019)

Estimation fusion for distributed multi-sensor systems with uncertain cross-correlations. - Jianfang Tang; Jie Zhou 002; Yao Rong (Int. J. Syst. Sci., 2019)

Adaptive Radar Detection in Gaussian Disturbance With Structured Covariance Matrix via Invariance Theory. - Mengjiao Tang; Yao Rong; Antonio De Maio; Chen Chen 035; Jie Zhou 002 (IEEE Trans. Signal Process., 2019)

Information Geometric Approach to Multisensor Estimation Fusion. - Mengjiao Tang; Yao Rong; Jie Zhou 002; X. Rong Li (IEEE Trans. Signal Process., 2019)

DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. - Okan Köpüklü; Thomas Ledwon; Yao Rong; Neslihan Kose; Gerhard Rigoll (FG, 2020)

Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. - Wolfgang Fuhl; Yao Rong; Enkelejda Kasneci (ICPR, 2020)

Explainable Online Validation of Machine Learning Models for Practical Applications. - Wolfgang Fuhl; Yao Rong; Thomas Motz; Michael Scheidt; Andreas Hartel; Andreas Koch; Enkelejda Kasneci (ICPR, 2020)

Automatically Tunable AMF for Radar Detection in Diffuse Multipath. - Yao Rong; Augusto Aubry; Antonio De Maio; Mengjiao Tang (SAM, 2020)

Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. - Yao Rong; Zeynep Akata; Enkelejda Kasneci (ITSC, 2020)

Numerical Analysis of a BDF2 Modular Grad-Div Stabilization Method for the Navier-Stokes Equations. - Yao Rong; Joseph A. Fiordilino (J. Sci. Comput., 2020)

A second-order artificial compression method for the evolutionary Stokes-Darcy system. - Yi Li 041; Yanren Hou; Yao Rong (Numer. Algorithms, 2020)

Diffuse Multipath Exploitation for Adaptive Detection of Range Distributed Targets. - Yao Rong; Augusto Aubry; Antonio De Maio; Mengjiao Tang (IEEE Trans. Signal Process., 2020)

Invariance Theory for Adaptive Detection in Non-Gaussian Clutter. - Mengjiao Tang; Yao Rong; X. Rong Li; Jie Zhou 002 (IEEE Trans. Signal Process., 2020)

Human Attention in Fine-grained Classification. - Yao Rong; Wenjia Xu; Zeynep Akata; Enkelejda Kasneci (BMVC, 2021)

Riemannian Lp Center of Mass for Scatter Matrix Estimation in Complex Elliptically Symmetric Distributions. - Mengjiao Tang; Yao Rong; Chen Chen 035 (FUSION, 2021)

Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invariance Theory. - Yao Rong; Augusto Aubry; Antonio De Maio; Mengjiao Tang (IEEE Trans. Signal Process., 2021)

Correction to "Information Geometric Approach to Multisensor Estimation Fusion". - Yao Rong; Mengjiao Tang; Xiangbing Chen; Jie Zhou 002 (IEEE Trans. Signal Process., 2021)

Estimation of the Number of Signals in White Noise via Large-Sample and High-Dimensional Asymptotic Theory. - Yao Rong; Lewen Zhang; Mengjiao Tang; Zeqiong Zan (ICCT, 2022)

Adaptive CFAR Detectors for Colocated MIMO Radar in Compound Gaussian Clutter. - Mengjiao Tang; Yao Rong; Sanfeng Hu; Xiaolin Du; Jianbo Li (ICCT, 2022)

A Consistent and Efficient Evaluation Strategy for Attribution Methods. - Yao Rong; Tobias Leemann; Vadim Borisov; Gjergji Kasneci; Enkelejda Kasneci (ICML, 2022)

A second order partitioned method with grad-div stabilization for the non-stationary dual-porosity-Stokes model. - Yi Li; Dandan Xue; Yao Rong; Yi Qin (Comput. Math. Appl., 2022)

Evaluating Feature Attribution: An Information-Theoretic Perspective. - Yao Rong; Tobias Leemann; Vadim Borisov; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2022)

User Trust on an Explainable AI-based Medical Diagnosis Support System. - Yao Rong; Nora Castner; Efe Bozkir; Enkelejda Kasneci (CoRR, 2022)

Disentangling Embedding Spaces with Minimal Distributional Assumptions. - Tobias Leemann; Michael Kirchhof; Yao Rong; Enkelejda Kasneci; Gjergji Kasneci (CoRR, 2022)

Towards Human-centered Explainable AI: User Studies for Model Explanations. - Yao Rong; Tobias Leemann; Thai-trang Nguyen; Lisa Fiedler; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (CoRR, 2022)

Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. - Yao Rong; Chao Han; Christian Hellert; Antje Loyal; Enkelejda Kasneci (IEEE Intell. Transp. Syst. Mag., 2022)

Where and What: Driver Attention-based Object Detection. - Yao Rong; Naemi-Rebecca Kassautzki; Wolfgang Fuhl; Enkelejda Kasneci (Proc. ACM Hum. Comput. Interact., 2022)

Detection of a Rare Multichannel Gaussian Signal via Higher Criticism. - Chen Chen 035; Mengjiao Tang; Yao Rong (IEEE Signal Process. Lett., 2022)

Adaptive Radar Detection in Gaussian Interference Using Clutter-Free Training Data. - Yao Rong; Augusto Aubry; Antonio De Maio; Mengjiao Tang (IEEE Trans. Signal Process., 2022)

Bearing Fault Diagnosis Based on Wavelet Transform and Convolution Neural Network. - Bangcheng Zhang; Shiqi Sun; Xiaojing Yin; WeiDong He; Zhi Gao; Yao Rong (SAFEPROCESS, 2023)

DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection. - Yao Rong; Xiangyu Wei; Tianwei Lin; Yueyu Wang; Enkelejda Kasneci (CVPR Workshops, 2023)

When are post-hoc conceptual explanations identifiable? - Tobias Leemann; Michael Kirchhof; Yao Rong; Enkelejda Kasneci; Gjergji Kasneci (UAI, 2023)

Numerical analysis of two-grid decoupled finite element algorithm for a coupled Darcy/Darcy fracture model. - Guangzhi Du; Yao Rong; Liyun Zuo (Appl. Math. Lett., 2023)

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. - Xiao Wang 014; Zongzhen Wu; Yao Rong; Lin Zhu 012; Bo Jiang 002; Jin Tang 001; Yonghong Tian 001 (CoRR, 2023)

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. - Xiao Wang 014; Yao Rong; Shiao Wang; Yuan Chen 012; Zhe Wu 006; Bo Jiang 002; Yonghong Tian 001; Jin Tang 001 (CoRR, 2023)

A Study of Numerical Pollution of the Decoupled Algorithm for the Convection Model in Superposed Fluid and Porous Layers. - Yuhong Zhang; Yao Rong; Haibiao Zheng (SIAM J. Numer. Anal., 2023)

Local and parallel finite element algorithms for magnetohydrodynamic flows with low electromagnetic Reynolds number. - Shilin Mi; Guangzhi Du; Yao Rong (Numer. Algorithms, 2023)

IoT adaptive threshold energy management algorithm based on energy harvesting. - Miao Liu 004; Zhuo-Miao Huo; Yao Rong; Haiwei Mu; Zhen-Xing Sun (Ad Hoc Networks, 2023)

I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. - Yao Rong; Peizhu Qian; Vaibhav V. Unhelkar; Enkelejda Kasneci (AAAI, 2024)

P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. - Shuo Yang; Chenchen Yuan; Yao Rong; Felix Steinbauer; Gjergji Kasneci (ACL (Findings), 2024)

A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. - Süleyman Özdel; Yao Rong; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. - Süleyman Özdel; Yao Rong; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features. - Yao Rong; David Scheerer; Enkelejda Kasneci (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models. - Zilong Zhao; Yao Rong; Dongyang Guo; Emek Gözlüklü; Emir Gülboy; Enkelejda Kasneci (CoRR, 2024)

State Space Model for New-Generation Network Alternative to Transformers: A Survey. - Xiao Wang 014; Shiao Wang; Yuhe Ding; Yuehang Li; Wentao Wu; Yao Rong; Weizhe Kong; Ju Huang; Shihao Li; Haoxiang Yang; Ziwen Wang; Bo Jiang 002; et al. (CoRR, 2024)

Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. - Enkelejda Kasneci; Hong Gao 008; Süleyman Özdel; Virmarie Maquiling; Enkeleda Thaqi; Ka Hei Carrie Lau; Yao Rong; Gjergji Kasneci; Efe Bozkir (CoRR, 2024)

Pre-training on High Definition X-ray Images: An Experimental Study. - Xiao Wang 014; Yuehang Li; Wentao Wu; Jiandong Jin; Yao Rong; Bo Jiang 002; Chuanfu Li; Jin Tang 001 (CoRR, 2024)

New Ensemble Domain Decomposition Method for the Steady-state Random Stokes-Darcy Coupled Problems with Uncertain Parameters. - Chunchi Liu; Yao Rong; Yizhong Sun; Jiaping Yu; Haibiao Zheng (CoRR, 2024)

Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm. - Xiao Wang 014; Yao Rong; Fuling Wang; Jianing Li 001; Lin Zhu 012; Bo Jiang 002; Yaowei Wang 001 (CoRR, 2024)

Benchmarking Large Language Models for Math Reasoning Tasks. - Kathrin Seßler; Yao Rong; Emek Gözlüklü; Enkelejda Kasneci (CoRR, 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) - Yao Rong (2024)

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. - Yao Rong; Tobias Leemann; Thai-trang Nguyen; Lisa Fiedler; Peizhu Qian; Vaibhav V. Unhelkar; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improving the Gross Primary Productivity Estimation by Simulating the Maximum Carboxylation Rate of Maize Using Leaf Age. - Xin Zhang; Shuai Wang; Weishu Wang; Yao Rong; Chenglong Zhang; Chaozi Wang; Zailin Huo (Remote. Sens., 2024)

The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning Models. - Yao Rong; Vaibhav V. Unhelkar (AAAI Spring Symposia, 2025)

Invariance Theory for Radar Detection in Disturbance With Kronecker Product Covariance Structure - Part I: Gaussian Environment. - Mengjiao Tang; Augusto Aubry; Antonio De Maio; Yao Rong (IEEE Trans. Signal Process., 2025)

Invariance Theory for Radar Detectionin Disturbance With Kronecker ProductCovariance Structure - Part II: CompoundGaussian Environment. - Mengjiao Tang; Augusto Aubry; Antonio De Maio; Yao Rong (IEEE Trans. Signal Process., 2025)

Pre-training on high-resolution X-ray images: an experimental study. - Xiao Wang 014; Yuehang Li; Wentao Wu; Jiandong Jin; Yao Rong; Bo Jiang 002; Chuanfu Li; Jin Tang 001 (Vis. Intell., 2025)

Efficient GNN Explanation via Learning Removal-based Attribution. - Yao Rong; Guanchu Wang; Qizhang Feng; Ninghao Liu; Zirui Liu 001; Enkelejda Kasneci; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)