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Wenxin Xiong

  • Address
 

Mr. Wenxin Xiong

Computer Networks and Telematics

Department of Computer Science

University of Freiburg

Georges-Köhler-Allee 51

79110 Freiburg, Germany 

 

  • Contact Information

 

E-mail: xiongw@informatik.uni-freiburg.de / w.x.xiong@outlook.com

 

  • Publications 

 

           Submitted:

 

W. Xiong, C. Schindelhauer, and H. C. So, "Robust time-of-arrival localization via ADMM," IEEE Trans. Neural Netw. Learn. Syst., submitted in Aug. 2022.

 

W. Xiong, S. Mohanty, and C. Schindelhauer, "A low-complexity iterative message passing algorithm for robust RSS-TOA IoT localization," IEEE IoT J., submitted in Aug. 2022.

 

 

           Published:

 

W. Xiong, C. Schindelhauer, and H. C. So, "Globally optimized TDOA high frequency source localization based on quasi-parabolic ionosphere modeling and collaborative gradient projection," IEEE Trans. Aerospace and Electronic Systems.

 

W. Xiong, C. Schindelhauer, H. C. So, and S. J. Rupitsch, "A message passing based iterative algorithm for robust TOA positioning in impulsive noise," IEEE Trans. Veh. Technol.

 

W. Xiong, J. Bordoy, A. Gabbrielli, G. Fischer, D. J. Schott, F. Hoeflinger, J. Wendeberg, C. Schindelhauer, and S. J. Rupitsch, "Two efficient and easy-to-use NLOS mitigation solutions to indoor 3-D AOA-based localization," in Proceedings of International Conference on Indoor Positioning Indoor Navigation (IPIN), Lloret de Mar, Spain, 2021.

 

W. Xiong, C. Schindelhauer, H. C. So, and Z. Wang, ``Maximum correntropy criterion for robust TOA-based localization in NLOS environments,'' Circuits, Systems, and Signal Processing, 2021.

            ---corrigendum---

It is notable that the Silverman's rule may not perform well in our case of robust TOA localization - other kernel width update strategy should be considered.

"CIM" in the paragraph next to Fig. 3 should be "correntropy measure".

 

W. Xiong, J. Bordoy, C. Schindelhauer, A. Gabbrielli, G. Fischer, D. J. Schott, F. Hoeflinger, S. J. Rupitsch, and H. C. So, ``Data-selective least squares methods for elliptic localization with NLOS mitigation,'' IEEE Sensors Letters, vol. 5, no. 7, pp. 1-4, Jul. 2021.

 

W. Xiong, C. Schindelhauer, H. C. So, D. J. Schott and S. J. Rupitsch, "Robust TDOA source localization based on Lagrange programming neural network," IEEE Signal Processing Letters, vol. 28, pp. 1090-1094, 2021.

---corrigendum---

The definition of matrix $\bm{D}$ is incorrect. Should be $\bm{D} = \left[ -\bm{1}_{L-1}, \bm{I}_{(L-1)\times (L-1)} \right] \in \mathbb{R}^{(L-1) \times L}$ instead.

In the third line of (3), $\lambda_{2L-1+i}$ should be moved to the outside of the curly bracket.

In the sentence before (3), "by substituting $\bm{e}$ held in the Lagrangian neurons with $\bm{u}$" should be removed. 

 

W.Xiong, C. Schindelhauer, H. C. So, J. Bordoy, A. Gabbrielli, and J. Liang, "TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization," Signal Processing, vol. 178, 107774, January 2021 (DOI: 10.1016/j.sigpro.2020.107774)

---corrigendum---

Expression of $\ell_2$-norm in the definition of RMSE on page 9 should be modified for consistency.

In the smoothed robust loss on page 4, $\ln$ should be $\log$ instead.

 

W. Xiong, H. C. So, J. Wendeberg, and C. Schindelhauer, “Robust elliptic localization using worst-case formulation and convex approximation,” in Proceedings of IEEE Workshop on Positioning, Navigation and Communications, October 2019, Bremen, Germany (DOI: 10.1109/WPNC47567.2019.8970258) (Received Best Paper Award)

 

W. Xiong, H. C. So, "TOA-based localization with NLOS mitigation via robust multidimensional similarity analysis," IEEE Signal Processing Letters, vol.26, no.9, pp.1334-1338, September 2019 (DOI: 10.1109/LSP.2019.2929860) (Accepted for presentation in a poster session at the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020))

 

  • Google Scholar

 

https://scholar.google.com/citations?user=EfPmjUsAAAAJ&hl=en&oi=ao 

 

  • Biography

 

Mr. Xiong was raised in Wuhan, China. He received the B.Eng. degree in electrical engineering and automation from Northwestern Polytechnical University, Xi'an, China, in 2017, and the M.Sc. degree in electronic information engineering from the City University of Hong Kong, HKSAR, China, in 2018. He is currently pursuing the Dr. rer. nat. degree with the University of Freiburg, Freiburg im Breisgau, Germany, under the supervision of Prof. C. Schindelhauer, Chair of Computer Networks and Telematics (CoNe). His research interests lie broadly in the fields of localization, robust estimation, optimization, and deep learning.

From October 2018 to June 2019, he was a Research Assistant with the Department of Electrical Engineering, City University of Hong Kong. From July 2019 to September 2020, He worked as a Scientific Staff at CoNe.

Mr. Xiong serves as a Reviewer for various international journals, including but not limited to IEEE Transactions on Information Theory, Signal Processing, and IEEE Signal Processing Letters.

 
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