Computing Primitively-Rooted Squares and Runs in Partial Words. - Francine Blanchet-Sadri; Jordan Nikkel; J. D. Quigley; Xufan Zhang (IWOCA, 2014)

Squares in partial words. - Francine Blanchet-Sadri; Yang Jiao; John M. Machacek; J. D. Quigley; Xufan Zhang (Theor. Comput. Sci., 2014)

Squares and primitivity in partial words. - Francine Blanchet-Sadri; Michelle Bodnar; Jordan Nikkel; J. D. Quigley; Xufan Zhang (Discret. Appl. Math., 2015)

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)

Adaptive image compression based on compressive sensing for video sensor nodes. - Xufan Zhang; Yong Wang 036; Dianhong Wang; Yamin Li (Multim. Tools Appl., 2018)

NeuralVis: Visualizing and Interpreting Deep Learning Models. - Xufan Zhang; Ziyue Yin; Yang Feng 003; Qingkai Shi; Jia Liu 008; Zhenyu Chen 001 (ASE, 2019)

Software Engineering Practice in the Development of Deep Learning Applications. - Xufan Zhang; Yilin Yang; Yang Feng 003; Zhenyu Chen 001 (CoRR, 2019)

Saliency detection via image sparse representation and color features combination. - Xufan Zhang; Yong Wang 036; Zhenxing Chen; Jun Yan 011; Dianhong Wang (Multim. Tools Appl., 2020)

A unified saliency detection framework for visible and infrared images. - Xufan Zhang; Yong Wang 036; Jun Yan 011; Zhenxing Chen; Dianhong Wang (Multim. Tools Appl., 2020)

Predoo: precision testing of deep learning operators. - Xufan Zhang; Ning Sun; Chunrong Fang; Jiawei Liu; Jia Liu 015; Dong Chai; Jiang Wang; Zhenyu Chen 001 (ISSTA, 2021)

Duo: Differential Fuzzing for Deep Learning Operators. - Xufan Zhang; Jiawei Liu; Ning Sun; Chunrong Fang; Jia Liu 015; Jiang Wang; Dong Chai; Zhenyu Chen 001 (IEEE Trans. Reliab., 2021)

A Model-driven OAMP Detection Algorithm for OTFS Systems. - Chao Ding; Shuo Li; Xufan Zhang; Qijiang Yuan; Lixia Xiao (ICCC Workshops, 2022)

TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation. - Ju Lin; Jiawei Liu; Qanjun Zhang; Xufan Zhang; Chunrong Fang (ICSE-Companion, 2022)

TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation. - Guandi Liu; Jiawei Liu; Quanjun Zhang; Chunrong Fang; Xufan Zhang (ICSE-Companion, 2022)

Gaussian AMP Aided Model-Driven Learning for OTFS System. - Xufan Zhang; Lixia Xiao; Shuo Li; Qijiang Yuan; Luping Xiang; Tao Jiang 002 (IEEE Commun. Lett., 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 002 (IEEE Wirel. Commun. Lett., 2022)

Spatial Multiplexing Aided OTFS With Index Modulation. - Shuo Li; Lixia Xiao; Xufan Zhang; Liuke Li; Tao Jiang 002 (IEEE Trans. Veh. Technol., 2023)

Graph Neural Network Assisted Efficient Signal Detection for OTFS Systems. - Xufan Zhang; Shengyu Zhang; Lixia Xiao; Shuo Li; Tao Jiang 002 (IEEE Commun. Lett., 2023)

Expectation Propagation Aided Model Driven Learning for OTFS Signal Detection. - Shuo Li; Chao Ding; Lixia Xiao; Xufan Zhang; Guanghua Liu; Tao Jiang 002 (IEEE Trans. Veh. Technol., 2023)

Generation-based Differential Fuzzing for Deep Learning Libraries. - Jiawei Liu; Yuheng Huang 004; Zhijie Wang 014; Lei Ma 003; Chunrong Fang; Mingzheng Gu; Xufan Zhang; Zhenyu Chen 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Benchmarking Object Detection Robustness against Real-World Corruptions. - Jiawei Liu; Zhijie Wang 014; Lei Ma 003; Chunrong Fang; Tongtong Bai; Xufan Zhang; Jia Liu 015; Zhenyu Chen 001 (Int. J. Comput. Vis., 2024)

Automated Detection and Repair of Floating-point Precision Problems in Convolutional Neural Network Operators. - Jiawei Liu; Xufan Zhang; Lurong Xu; Chunrong Fang; Mingzheng Gu; Weisi Luo; Dong Chai; Jiang Wang; Zhihong Zhao; Zhenyu Chen 001 (ACM Trans. Softw. Eng. Methodol., 2025)