Xufan Zhang

According to our database, Xufan Zhang authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

Generation-based Differential Fuzzing for Deep Learning Libraries.

Jiawei Liu, Yuheng Huang, Zhijie Wang, Lei Ma, Chunrong Fang, Mingzheng Gu, Xufan Zhang, Zhenyu Chen

ACM Trans. Softw. Eng. Methodol., February, 2024

2023

Expectation Propagation Aided Model Driven Learning for OTFS Signal Detection.

Shuo Li, Chao Ding, Lixia Xiao, Xufan Zhang, Guanghua Liu, Tao Jiang

IEEE Trans. Veh. Technol., September, 2023

Graph Neural Network Assisted Efficient Signal Detection for OTFS Systems.

Xufan Zhang, Shengyu Zhang, Lixia Xiao, Shuo Li, Tao Jiang

IEEE Commun. Lett., August, 2023

Spatial Multiplexing Aided OTFS With Index Modulation.

Shuo Li, Lixia Xiao, Xufan Zhang, Liuke Li, Tao Jiang

IEEE Trans. Veh. Technol., June, 2023

2022

An Efficient Symbol-by-Symbol Aided Expectation Propagation Detector for OTFS With Index Modulation.

Liuke Li, Lixia Xiao, Xufan Zhang, Guanghua Liu, Shuo Li, Tao Jiang

IEEE Wirel. Commun. Lett., 2022

Gaussian AMP Aided Model-Driven Learning for OTFS System.

Xufan Zhang, Lixia Xiao, Shuo Li, Qijiang Yuan, Luping Xiang, Tao Jiang

IEEE Commun. Lett., 2022

TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation.

Guandi Liu, Jiawei Liu, Quanjun Zhang, Chunrong Fang, Xufan Zhang

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation.

Ju Lin, Jiawei Liu, Qanjun Zhang, Xufan Zhang, Chunrong Fang

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

A Model-driven OAMP Detection Algorithm for OTFS Systems.

Chao Ding, Shuo Li, Xufan Zhang, Qijiang Yuan, Lixia Xiao

Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

2021

Duo: Differential Fuzzing for Deep Learning Operators.

Xufan Zhang, Jiawei Liu, Ning Sun, Chunrong Fang, Jia Liu, Jiang Wang, Dong Chai, Zhenyu Chen

IEEE Trans. Reliab., 2021

Predoo: precision testing of deep learning operators.

Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang, Zhenyu Chen

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

2020

A unified saliency detection framework for visible and infrared images.

Xufan Zhang, Yong Wang, Jun Yan, Zhenxing Chen, Dianhong Wang

Multim. Tools Appl., 2020

Saliency detection via image sparse representation and color features combination.

Xufan Zhang, Yong Wang, Zhenxing Chen, Jun Yan, Dianhong Wang

Multim. Tools Appl., 2020

2019

Software Engineering Practice in the Development of Deep Learning Applications.

Xufan Zhang, Yilin Yang, Yang Feng, Zhenyu Chen

CoRR, 2019

NeuralVis: Visualizing and Interpreting Deep Learning Models.

Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

Adaptive image compression based on compressive sensing for video sensor nodes.

Xufan Zhang, Yong Wang, Dianhong Wang, Yamin Li

Multim. Tools Appl., 2018

Computing primitively-rooted squares and runs in partial words.

Francine Blanchet-Sadri, Justin Lazarow, Jordan Nikkel, J. D. Quigley, Xufan Zhang

Eur. J. Comb., 2018

2015

Squares and primitivity in partial words.

Francine Blanchet-Sadri, Michelle Bodnar, Jordan Nikkel, J. D. Quigley, Xufan Zhang

Discret. Appl. Math., 2015

2014

Squares in partial words.

Francine Blanchet-Sadri, Yang Jiao, John M. Machacek, J. D. Quigley, Xufan Zhang

Theor. Comput. Sci., 2014

Computing Primitively-Rooted Squares and Runs in Partial Words.

Francine Blanchet-Sadri, Jordan Nikkel, J. D. Quigley, Xufan Zhang

Proceedings of the Combinatorial Algorithms - 25th International Workshop, 2014