Wenxiang Chen

According to our database, Wenxiang Chen authored at least 25 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.

Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2024

2023

UAV Aerial Image Generation of Crucial Components of High-Voltage Transmission Lines Based on Multi-Level Generative Adversarial Network.

Jinyu Wang, Yingna Li, Wenxiang Chen

Remote. Sens., March, 2023

LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants.

Jingfen Lan, Wenxiang Chen, Ganggang Yin, Haque A. K. Alvi, Kun Xie, Qiang Yu, Xiguo Yuan

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.

Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huan, Tao Gui

CoRR, 2023

2022

Research on the Trust Mechanism of Individual Consumers in Rural Financial Markets Based on the Dynamic CGE Model.

Fang Lin, Wenxiang Chen

Sci. Program., 2022

Transmission Line Vibration Damper Detection Using Deep Neural Networks Based on UAV Remote Sensing Image.

Wenxiang Chen, Yingna Li, Zhengang Zhao

Sensors, 2022

Transmission Line Vibration Damper Detection Using Multi-Granularity Conditional Generative Adversarial Nets Based on UAV Inspection Images.

Wenxiang Chen, Yingna Li, Zhengang Zhao

Sensors, 2022

Missing-Sheds Granularity Estimation of Glass Insulators Using Deep Neural Networks Based on Optical Imaging.

Wenxiang Chen, Yingna Li, Zhengang Zhao

Sensors, 2022

Detection of Glass Insulators Using Deep Neural Networks Based on Optical Imaging.

Jinyu Wang, Yingna Li, Wenxiang Chen

Remote. Sens., 2022

2021

InsulatorGAN: A Transmission Line Insulator Detection Model Using Multi-Granularity Conditional Generative Adversarial Nets for UAV Inspection.

Wenxiang Chen, Yingna Li, Zhengang Zhao

Remote. Sens., 2021

2020

A Visual Detection Method for Foreign Objects in Power Lines Based on Mask R-CNN.

Wenxiang Chen, Yingna Li, Chuan Li

Int. J. Ambient Comput. Intell., 2020

Comparison of Pedestrians' Gap Acceptance Behavior Towards Automated and Human-Driven Vehicles.

Wenxiang Chen, Qianni Jiang, Xiangling Zhuang, Guojie Ma

Proceedings of the Engineering Psychology and Cognitive Ergonomics. Cognition and Design, 2020

2019

Efficient Binocular Stereo Matching Based on Sad and Improved Census Transformation.

Yun Zhang, Wenxiang Chen, Han Liu, Jinhua Liu, Hui Du

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

Tunneling between plateaus: improving on a state-of-the-art MAXSAT solver using partition crossover.

Wenxiang Chen, L. Darrell Whitley, Renato Tinós, Francisco Chicano

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

EEC-Dedup: Efficient Erasure-Coded Deduplicated Backup Storage Systems.

Wenxiang Chen, Yuchong Hu, Siyang Yin, Wen Xia

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Decomposing SAT Instances with Pseudo Backbones.

Wenxiang Chen, L. Darrell Whitley

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

Selecting Optimal Models Based on Efficiency and Robustness in Multi-valued Biological Networks.

Hooman Sedghamiz, Wenxiang Chen, Mark Rice, L. Darrell Whitley, Gordon Broderick

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

Stochastic Local Search over Minterms on Structured SAT Instances.

Wenxiang Chen, L. Darrell Whitley, Adele E. Howe, Brian W. Goldman

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

2014

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.

Thomas Weise, Raymond Chiong, Jörg Lässig, Ke Tang, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, Xin Yao

IEEE Comput. Intell. Mag., 2014

2013

Hyperplane initialized local search for MAXSAT.

Doug Hains, L. Darrell Whitley, Adele E. Howe, Wenxiang Chen

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Second order partial derivatives for NK-landscapes.

Wenxiang Chen, L. Darrell Whitley, Doug Hains, Adele E. Howe

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Impact of problem decomposition on Cooperative Coevolution.

Wenxiang Chen, Ke Tang

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

An Empirical Evaluation of O(1) Steepest Descent for NK-Landscapes.

L. Darrell Whitley, Wenxiang Chen, Adele E. Howe

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Constant time steepest descent local search with lookahead for NK-landscapes and MAX-kSAT.

L. Darrell Whitley, Wenxiang Chen

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010

Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning.

Wenxiang Chen, Thomas Weise, Zhenyu Yang, Ke Tang

Proceedings of the Parallel Problem Solving from Nature, 2010