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ORCIDYao Rong
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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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Other persons with the same name
- Yao Rong 0001
![[0000-0002-6031-3741]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6031-3741")
— Rice University, Computer Science Department, Houston, TX, USA (and 1 more)
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2020 – today
- 2026
[j29]Kaige Hou, Xiaolin Du, Guolong Cui, Xiaolong Chen, Jibin Zheng, Yao Rong, Wenming Ma:
A Hybrid Network-Based Contrastive Self-Supervised Learning Method for Radar Signal Modulation Recognition. IEEE Trans. Veh. Technol. 75(3): 4437-4451 (2026)- 2025
- [j28]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. Mach. Intell. Res. 22(6): 1031-1047 (2025) - [j27]Xiao Wang, Yao Rong, Zongzhen Wu, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian:
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event Based-Recognition. IEEE Trans. Cogn. Dev. Syst. 17(6): 1488-1502 (2025) - [j26]Mengjiao Tang, Augusto Aubry, Antonio De Maio, Yao Rong:
Invariance Theory for Radar Detection in Disturbance With Kronecker Product Covariance Structure - Part I: Gaussian Environment. IEEE Trans. Signal Process. 73: 1577-1593 (2025) - [j25]Mengjiao Tang, Augusto Aubry, Antonio De Maio, Yao Rong:
Invariance Theory for Radar Detectionin Disturbance With Kronecker ProductCovariance Structure - Part II: CompoundGaussian Environment. IEEE Trans. Signal Process. 73: 1594-1610 (2025) - [j24]Xiao Wang, Yuehang Li, Wentao Wu, Jiandong Jin, Yao Rong, Bo Jiang, Chuanfu Li, Jin Tang:
Pre-training on high-resolution X-ray images: an experimental study. Vis. Intell. 3(1) (2025) - [c11]Yue Zhang, Mengjiao Tang, Yuyu Fu, Yao Rong, Sanfeng Hu:
Cross-Scene Hyperspectral Image Classification Based on Fusion of Active Learning Strategies. EUSIPCO 2025: 755-759 - [c10]Mengjiao Tang, Augusto Aubry, Antonio De Maio, Yao Rong:
Invariant CFAR Detection in Gaussian Disturbance with Kronecker Covariance Structure. EUSIPCO 2025: 2552-2556 - 2024
- [b1]Yao Rong:
Promoting Human-Centered AI by Integrating Human Factors into Model Design (Förderung von menschenzentrierter KI durch die Integration menschlicher Faktoren in das Modell-Design). TU Munich, Germany, 2024 - [j23]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) - [i6]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) - [i5]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) - [i4]Chunchi Liu, Yao Rong, Yizhong Sun, Jiaping Yu, Haibiao Zheng:
New Ensemble Domain Decomposition Method for the Steady-state Random Stokes-Darcy Coupled Problems with Uncertain Parameters. CoRR abs/2408.06169 (2024) - [i3]Xiao Wang, Yao Rong, Fuling Wang, Jianing Li, Lin Zhu, Bo Jiang, Yaowei Wang:
Event Stream based Sign Language Translation: A High-Definition Benchmark Dataset and A New Algorithm. CoRR abs/2408.10488 (2024) - 2023
- [j22]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) - [j21]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) - [j20]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) - [j19]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) - [c9]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 - [i2]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) - [i1]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) - 2022
- [j18]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) - [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) - [c8]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 - [c7]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 - 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) - [c6]Mengjiao Tang, Yao Rong, Chen Chen:
Riemannian Lp Center of Mass for Scatter Matrix Estimation in Complex Elliptically Symmetric Distributions. FUSION 2021: 1-8 - 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) - [c5]Yao Rong, Augusto Aubry, Antonio De Maio, Mengjiao Tang:
Automatically Tunable AMF for Radar Detection in Diffuse Multipath. SAM 2020: 1-5
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) - [c4]Mengjiao Tang, Yao Rong, X. Rong Li:
Markov and Conditionally Markov Processes: from Gaussian to Elliptical. FUSION 2019: 1-8 - 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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