Xufan Zhang

23 papers A* 1A 1C 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated Detection and Repair of Floating-point Precision Problems in Convolutional Neural Network Operators.
ACM Trans. Softw. Eng. Methodol.
Jiawei Liu, Xufan Zhang, Lurong Xu, Chunrong Fang, Mingzheng Gu, Weisi Luo, Dong Chai, Jiang Wang, Zhihong Zhao, Zhenyu Chen
2024 J jnl
Benchmarking Object Detection Robustness against Real-World Corruptions.
Int. J. Comput. Vis.
Jiawei Liu, Zhijie Wang, Lei Ma, Chunrong Fang, Tongtong Bai, Xufan Zhang, Jia Liu, Zhenyu Chen
2024 J jnl
Generation-based Differential Fuzzing for Deep Learning Libraries.
ACM Trans. Softw. Eng. Methodol.
Jiawei Liu, Yuheng Huang, Zhijie Wang, Lei Ma, Chunrong Fang, Mingzheng Gu, Xufan Zhang, Zhenyu Chen
2023 J jnl
Expectation Propagation Aided Model Driven Learning for OTFS Signal Detection.
IEEE Trans. Veh. Technol.
Shuo Li, Chao Ding, Lixia Xiao, Xufan Zhang, Guanghua Liu, Tao Jiang
2023 J jnl
Graph Neural Network Assisted Efficient Signal Detection for OTFS Systems.
IEEE Commun. Lett.
Xufan Zhang, Shengyu Zhang, Lixia Xiao, Shuo Li, Tao Jiang
2023 J jnl
Spatial Multiplexing Aided OTFS With Index Modulation.
IEEE Trans. Veh. Technol.
Shuo Li, Lixia Xiao, Xufan Zhang, Liuke Li, Tao Jiang
2022 — conf
A Model-driven OAMP Detection Algorithm for OTFS Systems.
ICCC Workshops
Chao Ding, Shuo Li, Xufan Zhang, Qijiang Yuan, Lixia Xiao
2022 J jnl
An Efficient Symbol-by-Symbol Aided Expectation Propagation Detector for OTFS With Index Modulation.
IEEE Wirel. Commun. Lett.
Liuke Li, Lixia Xiao, Xufan Zhang, Guanghua Liu, Shuo Li, Tao Jiang
2022 J jnl
Gaussian AMP Aided Model-Driven Learning for OTFS System.
IEEE Commun. Lett.
Xufan Zhang, Lixia Xiao, Shuo Li, Qijiang Yuan, Luping Xiang, Tao Jiang
2022 — conf
TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation.
ICSE-Companion
Ju Lin, Jiawei Liu, Qanjun Zhang, Xufan Zhang, Chunrong Fang
2022 — conf
TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation.
ICSE-Companion
Guandi Liu, Jiawei Liu, Quanjun Zhang, Chunrong Fang, Xufan Zhang
2021 J jnl
Duo: Differential Fuzzing for Deep Learning Operators.
IEEE Trans. Reliab.
Xufan Zhang, Jiawei Liu, Ning Sun, Chunrong Fang, Jia Liu, Jiang Wang, Dong Chai, Zhenyu Chen
2021 A conf
Predoo: precision testing of deep learning operators.
ISSTA
Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang, Zhenyu Chen
2020 J jnl
A unified saliency detection framework for visible and infrared images.
Multim. Tools Appl.
Xufan Zhang, Yong Wang, Jun Yan, Zhenxing Chen, Dianhong Wang
2020 J jnl
Saliency detection via image sparse representation and color features combination.
Multim. Tools Appl.
Xufan Zhang, Yong Wang, Zhenxing Chen, Jun Yan, Dianhong Wang
2019 A* conf
NeuralVis: Visualizing and Interpreting Deep Learning Models.
ASE
Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen
2019 J jnl
NeuralVis: Visualizing and Interpreting Deep Learning Models.
CoRR
Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen
2019 J jnl
Software Engineering Practice in the Development of Deep Learning Applications.
CoRR
Xufan Zhang, Yilin Yang, Yang Feng, Zhenyu Chen
2018 J jnl
Adaptive image compression based on compressive sensing for video sensor nodes.
Multim. Tools Appl.
Xufan Zhang, Yong Wang, Dianhong Wang, Yamin Li
2018 J jnl
Computing primitively-rooted squares and runs in partial words.
Eur. J. Comb.
Francine Blanchet-Sadri, Justin Lazarow, Jordan Nikkel, J. D. Quigley, Xufan Zhang
2015 J jnl
Squares and primitivity in partial words.
Discret. Appl. Math.
Francine Blanchet-Sadri, Michelle Bodnar, Jordan Nikkel, J. D. Quigley, Xufan Zhang
2014 C conf
Computing Primitively-Rooted Squares and Runs in Partial Words.
IWOCA
Francine Blanchet-Sadri, Jordan Nikkel, J. D. Quigley, Xufan Zhang
2014 J jnl
Squares in partial words.
Theor. Comput. Sci.
Francine Blanchet-Sadri, Yang Jiao, John M. Machacek, J. D. Quigley, Xufan Zhang