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Yao Rong
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j26]Yao Rong
, Tobias Leemann
, Thai-trang Nguyen
, Lisa Fiedler
, Peizhu Qian
, Vaibhav V. Unhelkar
, Tina Seidel
, Gjergji Kasneci
, Enkelejda Kasneci
:
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2104-2122 (2024) - [j25]Xin Zhang, Shuai Wang, Weishu Wang, Yao Rong, Chenglong Zhang
, Chaozi Wang, Zailin Huo:
Improving the Gross Primary Productivity Estimation by Simulating the Maximum Carboxylation Rate of Maize Using Leaf Age. Remote. Sens. 16(15): 2747 (2024) - [c22]Yao Rong, Peizhu Qian
, Vaibhav V. Unhelkar
, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. AAAI 2024: 21545-21553 - [c21]Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci:
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. ACL (Findings) 2024: 248-264 - [c20]Süleyman Özdel
, Yao Rong
, Berat Mert Albaba
, Yen-Ling Kuo
, Xi Wang
, Enkelejda Kasneci
:
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. ETRA 2024: 1:1-1:6 - [c19]Süleyman Özdel
, Yao Rong
, Berat Mert Albaba
, Yen-Ling Kuo
, Xi Wang
, Enkelejda Kasneci
:
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. ETRA 2024: 12:1-12:9 - [i24]Zilong Zhao, Yao Rong, Dongyang Guo, Emek Gözlüklü, Emir Gülboy, Enkelejda Kasneci:
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models. CoRR abs/2402.17786 (2024) - [i23]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. CoRR abs/2404.07347 (2024) - [i22]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. CoRR abs/2404.07351 (2024) - [i21]Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang:
State Space Model for New-Generation Network Alternative to Transformers: A Survey. CoRR abs/2404.09516 (2024) - [i20]Enkelejda Kasneci, Hong Gao, Süleyman Özdel, Virmarie Maquiling, Enkeleda Thaqi, Ka Hei Carrie Lau, Yao Rong, Gjergji Kasneci
, Efe Bozkir:
Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners. CoRR abs/2404.15435 (2024) - [i19]Xiao Wang, Yuehang Li, Wentao Wu, Jiandong Jin, Yao Rong, Bo Jiang, Chuanfu Li, Jin Tang:
Pre-training on High Definition X-ray Images: An Experimental Study. CoRR abs/2404.17926 (2024) - [i18]Yao Rong, David Scheerer, Enkelejda Kasneci:
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features. CoRR abs/2405.13032 (2024) - [i17]Shuo Yang, Chenchen Yuan, Yao Rong, Felix Steinbauer, Gjergji Kasneci:
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models. CoRR abs/2406.11391 (2024) - 2023
- [j24]Miao Liu, Zhuo-Miao Huo, Yao Rong, Haiwei Mu, Zhen-Xing Sun:
IoT adaptive threshold energy management algorithm based on energy harvesting. Ad Hoc Networks 149: 103241 (2023) - [j23]Guangzhi Du, Yao Rong, Liyun Zuo:
Numerical analysis of two-grid decoupled finite element algorithm for a coupled Darcy/Darcy fracture model. Appl. Math. Lett. 138: 108520 (2023) - [j22]Shilin Mi, Guangzhi Du, Yao Rong:
Local and parallel finite element algorithms for magnetohydrodynamic flows with low electromagnetic Reynolds number. Numer. Algorithms 93(4): 1661-1683 (2023) - [j21]Yuhong Zhang, Yao Rong, Haibiao Zheng:
A Study of Numerical Pollution of the Decoupled Algorithm for the Convection Model in Superposed Fluid and Porous Layers. SIAM J. Numer. Anal. 61(2): 1018-1056 (2023) - [c18]Bangcheng Zhang, Shiqi Sun, Xiaojing Yin, WeiDong He, Zhi Gao, Yao Rong:
Bearing Fault Diagnosis Based on Wavelet Transform and Convolution Neural Network. SAFEPROCESS 2023: 1-5 - [c17]Yao Rong, Xiangyu Wei, Tianwei Lin, Yueyu Wang, Enkelejda Kasneci:
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection. CVPR Workshops 2023: 3238-3247 - [c16]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
When are post-hoc conceptual explanations identifiable? UAI 2023: 1207-1218 - [i16]Yao Rong, Xiangyu Wei, Tianwei Lin, Yueyu Wang, Enkelejda Kasneci:
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection. CoRR abs/2305.15219 (2023) - [i15]Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Ben Hu:
Efficient GNN Explanation via Learning Removal-based Attribution. CoRR abs/2306.05760 (2023) - [i14]Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu
, Bo Jiang, Jin Tang, Yonghong Tian:
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. CoRR abs/2308.04369 (2023) - [i13]Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang:
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. CoRR abs/2312.11128 (2023) - [i12]Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. CoRR abs/2312.12102 (2023) - 2022
- [j20]Yi Li, Dandan Xue, Yao Rong, Yi Qin:
A second order partitioned method with grad-div stabilization for the non-stationary dual-porosity-Stokes model. Comput. Math. Appl. 124: 111-128 (2022) - [j19]Yao Rong
, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci:
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. IEEE Intell. Transp. Syst. Mag. 14(3): 132-145 (2022) - [j18]Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci:
Where and What: Driver Attention-based Object Detection. Proc. ACM Hum. Comput. Interact. 6(ETRA): 146:1-146:22 (2022) - [j17]Chen Chen
, Mengjiao Tang
, Yao Rong
:
Detection of a Rare Multichannel Gaussian Signal via Higher Criticism. IEEE Signal Process. Lett. 29: 2063-2067 (2022) - [j16]Yao Rong
, Augusto Aubry
, Antonio De Maio
, Mengjiao Tang
:
Adaptive Radar Detection in Gaussian Interference Using Clutter-Free Training Data. IEEE Trans. Signal Process. 70: 978-993 (2022) - [c15]Mengjiao Tang, Yao Rong, Sanfeng Hu, Xiaolin Du
, Jianbo Li:
Adaptive CFAR Detectors for Colocated MIMO Radar in Compound Gaussian Clutter. ICCT 2022: 629-633 - [c14]Yao Rong, Lewen Zhang, Mengjiao Tang, Zeqiong Zan:
Estimation of the Number of Signals in White Noise via Large-Sample and High-Dimensional Asymptotic Theory. ICCT 2022: 1092-1096 - [c13]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML 2022: 18770-18795 - [i11]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR abs/2202.00449 (2022) - [i10]Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl, Enkelejda Kasneci:
Where and What: Driver Attention-based Object Detection. CoRR abs/2204.12150 (2022) - [i9]Yao Rong, Nora Castner, Efe Bozkir, Enkelejda Kasneci:
User Trust on an Explainable AI-based Medical Diagnosis Support System. CoRR abs/2204.12230 (2022) - [i8]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR abs/2206.13872 (2022) - [i7]Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Tina Seidel, Gjergji Kasneci
, Enkelejda Kasneci:
Towards Human-centered Explainable AI: User Studies for Model Explanations. CoRR abs/2210.11584 (2022) - 2021
- [j15]Yao Rong
, Augusto Aubry
, Antonio De Maio
, Mengjiao Tang
:
Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invariance Theory. IEEE Trans. Signal Process. 69: 1492-1506 (2021) - [j14]Yao Rong
, Mengjiao Tang
, Xiangbing Chen, Jie Zhou
:
Correction to "Information Geometric Approach to Multisensor Estimation Fusion". IEEE Trans. Signal Process. 69: 4556 (2021) - [c12]Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. BMVC 2021: 150 - [c11]Mengjiao Tang, Yao Rong, Chen Chen:
Riemannian Lp Center of Mass for Scatter Matrix Estimation in Complex Elliptically Symmetric Distributions. FUSION 2021: 1-8 - [i6]Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci:
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. CoRR abs/2101.02082 (2021) - [i5]Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. CoRR abs/2111.01628 (2021) - 2020
- [j13]Yao Rong
, Joseph A. Fiordilino:
Numerical Analysis of a BDF2 Modular Grad-Div Stabilization Method for the Navier-Stokes Equations. J. Sci. Comput. 82(3): 66 (2020) - [j12]Yi Li
, Yanren Hou, Yao Rong:
A second-order artificial compression method for the evolutionary Stokes-Darcy system. Numer. Algorithms 84(3): 1019-1048 (2020) - [j11]Yao Rong
, Augusto Aubry
, Antonio De Maio
, Mengjiao Tang
:
Diffuse Multipath Exploitation for Adaptive Detection of Range Distributed Targets. IEEE Trans. Signal Process. 68: 1197-1212 (2020) - [j10]Mengjiao Tang
, Yao Rong
, X. Rong Li
, Jie Zhou
:
Invariance Theory for Adaptive Detection in Non-Gaussian Clutter. IEEE Trans. Signal Process. 68: 2045-2060 (2020) - [c10]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. FG 2020: 77-84 - [c9]Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci:
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. ICPR 2020: 142-149 - [c8]Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci:
Explainable Online Validation of Machine Learning Models for Practical Applications. ICPR 2020: 3304-3311 - [c7]Yao Rong, Augusto Aubry, Antonio De Maio, Mengjiao Tang:
Automatically Tunable AMF for Radar Detection in Diffuse Multipath. SAM 2020: 1-5 - [c6]Yao Rong, Zeynep Akata, Enkelejda Kasneci:
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. ITSC 2020: 1-8 - [i4]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. CoRR abs/2003.00951 (2020) - [i3]Yao Rong, Zeynep Akata, Enkelejda Kasneci:
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. CoRR abs/2006.11557 (2020) - [i2]Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci:
Explainable Online Validation of Machine Learning Models for Practical Applications. CoRR abs/2010.00821 (2020)
2010 – 2019
- 2019
- [j9]Jianfang Tang, Jie Zhou, Yao Rong
:
Estimation fusion for distributed multi-sensor systems with uncertain cross-correlations. Int. J. Syst. Sci. 50(7): 1378-1387 (2019) - [j8]Mengjiao Tang
, Yao Rong
, Jie Zhou
, X. Rong Li
:
Information Geometric Approach to Multisensor Estimation Fusion. IEEE Trans. Signal Process. 67(2): 279-292 (2019) - [j7]Mengjiao Tang
, Yao Rong
, Antonio De Maio
, Chen Chen, Jie Zhou
:
Adaptive Radar Detection in Gaussian Disturbance With Structured Covariance Matrix via Invariance Theory. IEEE Trans. Signal Process. 67(21): 5671-5685 (2019) - [c5]Mengjiao Tang, Yao Rong, X. Rong Li:
Markov and Conditionally Markov Processes: from Gaussian to Elliptical. FUSION 2019: 1-8 - [c4]Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs. ICCV Workshops 2019: 2836-2845 - [i1]Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs. CoRR abs/1905.04225 (2019) - 2018
- [j6]Yao Rong
, William J. Layton, Haiyun Zhao:
Numerical Analysis of an Artificial Compression Method for Magnetohydrodynamic Flows at Low Magnetic Reynolds Numbers. J. Sci. Comput. 76(3): 1458-1483 (2018) - [c3]Chen Chen, Mengjiao Tang, Jie Zhou, Yao Rong:
Signal Detection with Elliptically Distributed Observations in Sensor Arrays. FUSION 2018: 1-6 - 2017
- [j5]Yao Rong, Yanren Hou, Yuhong Zhang:
Numerical analysis of a second order algorithm for simplified magnetohydrodynamic flows. Adv. Comput. Math. 43(4): 823-848 (2017) - [j4]Yao Rong
, Mengjiao Tang, Jie Zhou
:
Intrinsic Losses Based on Information Geometry and Their Applications. Entropy 19(8): 405 (2017) - [j3]Mengjiao Tang
, Yao Rong
, Jie Zhou
, X. Rong Li:
Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance. IEEE Trans. Signal Process. 65(12): 3048-3061 (2017) - 2016
- [c2]Mengjiao Tang, Yao Rong, Jie Zhou:
Information-geometric methods for distributed multi-sensor estimation fusion. FUSION 2016: 1585-1592 - 2014
- [j2]Yao Rong, Xixuan Han, Dongmei Hao, Liu Cao, Qing Wang, Mingai Li, Lijuan Duan, Yanjun Zeng:
Applying support vector regression analysis on grip force level-related corticomuscular coherence. J. Comput. Neurosci. 37(2): 281-291 (2014) - 2013
- [c1]Eunsu Ryu, Yao Rong, Jie Li, Ashwin Machanavajjhala:
curso: protect yourself from curse of attribute inference: a social network privacy-analyzer. DBSocial 2013: 13-18 - 2010
- [j1]Yao Rong, Jiandong Wang:
Design and Implementation of a Novel General-purpose Enterprise Application Business Infrastructure Software Platform. J. Digit. Content Technol. its Appl. 4(9): 68-79 (2010)
Coauthor Index
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last updated on 2024-08-28 22:33 CEST by the dblp team
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