Chenxi Wu

41 papers B 1C 2Misc 1Journal 32Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
CGAF-CSRNet: A Residual Network Model for Automatic Modulation Classification Based on Complex GADF-Mapped Features.
IEEE Internet Things J.
Chenxi Wu, Zhitao Guo, Jinli Yuan, Xiangran Gao, Chuangchuang Liu
2026 J jnl
New Constructions of Asymptotically Optimal Zero/Low Ambiguity Zone Sequence Sets.
IEEE Signal Process. Lett.
Xiuping Peng, Jiaxue Cheng, Chenxi Wu, Chunlei Li, Zilong Liu
2025 J jnl
Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning.
SIAM J. Sci. Comput.
Qian Zhang, Chenxi Wu, Adar Kahana, George Em Karniadakis, Youngeun Kim, Yuhang Li, Priyadarshini Panda
2025 J jnl
FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design.
CoRR
Chenxi Wu, Juan Diego Toscano, Khemraj Shukla, Yingjie Chen, Ali Shahmohammadi, Edward Raymond, Thomas Toupy, Neda Nazemifard, Charles Papageorgiou, George Em Karniadakis
2025 J jnl
Fog Visibility Detection of Highway Based on Improved Dark Channel Prior Algorithm.
IEEE Access
Huiqi Zhang, Yong Liu, Chenxi Wu
2025 J jnl
GViT-RSNet: A retinal vessel segmentation network using graph convolutional attention and multi-scale vision transformer.
Pattern Recognit. Lett.
Jiayao Li, Qianxiang Cheng, Chenxi Wu
2025 B conf
Space-Time Smooth Control of Closed-Loop Neuromorphic Robotic Arms Using Spiking Neural Networks.
IJCNN
Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco
2025 — conf
Stereo Vision-Based Real-Time Tracking of Sensors and Head Motion in OPM-MEG System.
ICBRA
Zhenfeng Gao, Zhipeng Zhang, Mingxiao Shao, Chenxi Wu, Jiawei Gao, Min Xiang, Nan An, Fuzhi Cao
2025 J jnl
Toward a Dynamic Closed-Loop Neuromorphic Trajectory Interpolation Model: Hardware Emulation and Software Simulation.
IEEE Trans. Circuits Syst. II Express Briefs
Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri, Alejandro Linares-Barranco, Juan Pedro Dominguez-Morales
2025 C conf
Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm.
ISCAS
Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco
2025 J jnl
Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm.
CoRR
Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco
2025 J jnl
WLKA-RVS: a retinal vessel segmentation method using weighted large kernel attention.
Appl. Intell.
Jiayao Li, Min Zeng, Chenxi Wu, Qianxiang Cheng, Qiuyan Guo, Song Li
2024 J jnl
A depthwise separable convolution-based neural network for rolling bearing fault diagnosis.
J. Comput. Methods Sci. Eng.
Rong Jiang, Chenxi Wu, Chao Zhong
2024 J jnl
Activation thresholds and expressiveness of polynomial neural networks.
CoRR
Bella Finkel, Jose Israel Rodriguez, Chenxi Wu, Thomas Yahl
2024 J jnl
Boosting Micro-Expression Recognition via Self-Expression Reconstruction and Memory Contrastive Learning.
IEEE Trans. Affect. Comput.
Yongtang Bao, Chenxi Wu, Peng Zhang, Caifeng Shan, Yue Qi, Xianye Ben
2024 J jnl
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor.
Neuromorph. Comput. Eng.
Ole Richter, Chenxi Wu, Adrian M. Whatley, German Köstinger, Carsten Nielsen, Ning Qiao, Giacomo Indiveri
2024 J jnl
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning.
CoRR
Juan Diego Toscano, Vivek Oommen, Alan John Varghese, Zongren Zou, Nazanin Ahmadi Daryakenari, Chenxi Wu, George Em Karniadakis
2024 J jnl
Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors.
Neuromorph. Comput. Eng.
Ugurcan Çakal, Maryada, Chenxi Wu, Ilkay Ulusoy, Dylan Richard Muir
2023 J jnl
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning.
CoRR
Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda
2023 J jnl
BD-CVSA: A Broadband Direction Finding Method Based on Constructing Virtual Sparse Arrays.
Signal Process.
Min Zhang, Cheng Tu, Wenli Zhu, Chenxi Wu, Qianyu Li, Chenyang Wang, Hongjun Wang
2023 J jnl
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor.
CoRR
Ole Richter, Chenxi Wu, Adrian M. Whatley, German Köstinger, Carsten Nielsen, Ning Qiao, Giacomo Indiveri
2023 — conf
GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip.
ICONS
Jimmy Weber, Chenxi Wu, Melika Payvand
2023 J jnl
GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science.
CoRR
Chenxi Wu, Alan John Varghese, Vivek Oommen, George Em Karniadakis
2022 J jnl
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks.
CoRR
Chenxi Wu, Min Zhu, Qinyang Tan, Yadhu Kartha, Lu Lu
2022 J jnl
A fast method for blindly identifying Reed-Solomon codes based on matrix analysis.
IET Commun.
Shu nan Han, Mengzhu Gao, Renjie Yi, Chenxi Wu
2022 J jnl
Functional dimension of feedforward ReLU neural networks.
CoRR
J. Elisenda Grigsby, Kathryn Lindsey, Robert Meyerhoff, Chenxi Wu
2022 — conf
Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement.
ICECS 2022
Junren Chen, Chenxi Wu, Giacomo Indiveri, Melika Payvand
2022 C conf
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm.
ISCAS
Alejandro Linares-Barranco, Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro, Maryada, Chenxi Wu, Jingyue Zhao, Dmitrii Zendrikov, Giacomo Indiveri
2022 J jnl
Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm.
CoRR
Alejandro Linares-Barranco, Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro, Maryada, Chenxi Wu, Jingyue Zhao, Dmitrii Zendrikov, Giacomo Indiveri
2021 J jnl
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning.
CoRR
Chunhua Ye, Zhong Yin, Chenxi Wu, Xiayidai Abulaiti, Yixing Zhang, Zhenqi Sun, Jianhua Zhang
2021 J jnl
Optimized CNNs to Indoor Localization through BLE Sensors Using Improved PSO.
Sensors
Danshi Sun, Erhu Wei, Zhuoxi Ma, Chenxi Wu, Shiyi Xu
2021 J jnl
Robust neuromorphic coupled oscillators for adaptive pacemakers.
CoRR
Renate Krause, Joanne J. A. van Bavel, Chenxi Wu, Marc A. Vos, Alain Nogaret, Giacomo Indiveri
2020 J jnl
Array Diagnosis and DOA Estimation for Coprime Array under Sensor Failures.
Sensors
Bing Sun, Chenxi Wu, Huai-Lin Ruan
2020 J jnl
Broadband Direction of Arrival Estimation Based on Convolutional Neural Network.
IEICE Trans. Commun.
Wenli Zhu, Min Zhang, Chenxi Wu, Lingqing Zeng
2020 J jnl
Direction-of-Arrival Estimation Under Array Sensor Failures with ULA.
IEEE Access
Bing Sun, Chenxi Wu, Junpeng Shi, Huai-Lin Ruan, Wen-Qiang Ye
2020 J jnl
Two-Dimensional DOA Estimation via Deep Ensemble Learning.
IEEE Access
Wenli Zhu, Min Zhang, Pengfei Li, Chenxi Wu
2018 J jnl
A model predictive scheduling algorithm in real-time control systems.
IEEE CAA J. Autom. Sinica
Mengya Kang, Chenglin Wen, Chenxi Wu
2018 — conf
Adapted Methods from Statistical Process Control for Evaluation of Load Variations in Distribution Grids.
ISGT Europe
Ivelina Stoyanova, Chenxi Wu, Antonello Monti
2017 J jnl
A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault.
J. Intell. Manuf.
Chenxi Wu, Tefang Chen, Rong Jiang, Liwei Ning, Zheng Jiang
2016 — conf
Real-Time Distributed Optimal Control Considering Power Supply Constraint for Deferrable Loads Scheduling.
ICCSIP
Mengya Kang, Chenglin Wen, Chenxi Wu
2011 Misc conf
Modified shuffled frog leaping algorithm based on new searching strategy.
ICNC
Ping Luo, Qiang Lu, Chenxi Wu