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Xufan Zhang
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2020 – today
- 2024
- [j13]Jiawei Liu, Yuheng Huang, Zhijie Wang, Lei Ma, Chunrong Fang, Mingzheng Gu, Xufan Zhang, Zhenyu Chen:
Generation-based Differential Fuzzing for Deep Learning Libraries. ACM Trans. Softw. Eng. Methodol. 33(2): 50:1-50:28 (2024) - 2023
- [j12]Xufan Zhang, Shengyu Zhang, Lixia Xiao, Shuo Li, Tao Jiang:
Graph Neural Network Assisted Efficient Signal Detection for OTFS Systems. IEEE Commun. Lett. 27(8): 2058-2062 (2023) - [j11]Shuo Li, Lixia Xiao, Xufan Zhang, Liuke Li, Tao Jiang:
Spatial Multiplexing Aided OTFS With Index Modulation. IEEE Trans. Veh. Technol. 72(6): 8192-8197 (2023) - [j10]Shuo Li, Chao Ding, Lixia Xiao, Xufan Zhang, Guanghua Liu, Tao Jiang:
Expectation Propagation Aided Model Driven Learning for OTFS Signal Detection. IEEE Trans. Veh. Technol. 72(9): 12407-12412 (2023) - 2022
- [j9]Xufan Zhang, Lixia Xiao, Shuo Li, Qijiang Yuan, Luping Xiang, Tao Jiang:
Gaussian AMP Aided Model-Driven Learning for OTFS System. IEEE Commun. Lett. 26(12): 2949-2953 (2022) - [j8]Liuke Li, Lixia Xiao, Xufan Zhang, Guanghua Liu, Shuo Li, Tao Jiang:
An Efficient Symbol-by-Symbol Aided Expectation Propagation Detector for OTFS With Index Modulation. IEEE Wirel. Commun. Lett. 11(10): 2046-2050 (2022) - [c6]Chao Ding, Shuo Li, Xufan Zhang, Qijiang Yuan, Lixia Xiao:
A Model-driven OAMP Detection Algorithm for OTFS Systems. ICCC Workshops 2022: 42-47 - [c5]Guandi Liu, Jiawei Liu, Quanjun Zhang, Chunrong Fang, Xufan Zhang:
TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation. ICSE-Companion 2022: 212-216 - [c4]Ju Lin, Jiawei Liu, Qanjun Zhang, Xufan Zhang, Chunrong Fang:
TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation. ICSE-Companion 2022: 217-221 - 2021
- [j7]Xufan Zhang, Jiawei Liu, Ning Sun, Chunrong Fang, Jia Liu, Jiang Wang, Dong Chai, Zhenyu Chen:
Duo: Differential Fuzzing for Deep Learning Operators. IEEE Trans. Reliab. 70(4): 1671-1685 (2021) - [c3]Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang, Zhenyu Chen:
Predoo: precision testing of deep learning operators. ISSTA 2021: 400-412 - 2020
- [j6]Xufan Zhang, Yong Wang, Jun Yan, Zhenxing Chen, Dianhong Wang:
A unified saliency detection framework for visible and infrared images. Multim. Tools Appl. 79(25-26): 17331-17348 (2020) - [j5]Xufan Zhang, Yong Wang, Zhenxing Chen, Jun Yan, Dianhong Wang:
Saliency detection via image sparse representation and color features combination. Multim. Tools Appl. 79(31-32): 23147-23159 (2020)
2010 – 2019
- 2019
- [c2]Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. ASE 2019: 1106-1109 - [i2]Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. CoRR abs/1906.00690 (2019) - [i1]Xufan Zhang, Yilin Yang, Yang Feng, Zhenyu Chen:
Software Engineering Practice in the Development of Deep Learning Applications. CoRR abs/1910.03156 (2019) - 2018
- [j4]Francine Blanchet-Sadri, Justin Lazarow, Jordan Nikkel, J. D. Quigley, Xufan Zhang:
Computing primitively-rooted squares and runs in partial words. Eur. J. Comb. 68: 223-241 (2018) - [j3]Xufan Zhang, Yong Wang, Dianhong Wang, Yamin Li:
Adaptive image compression based on compressive sensing for video sensor nodes. Multim. Tools Appl. 77(11): 13679-13699 (2018) - 2015
- [j2]Francine Blanchet-Sadri, Michelle Bodnar, Jordan Nikkel, J. D. Quigley, Xufan Zhang:
Squares and primitivity in partial words. Discret. Appl. Math. 185: 26-37 (2015) - 2014
- [j1]Francine Blanchet-Sadri, Yang Jiao, John M. Machacek, J. D. Quigley, Xufan Zhang:
Squares in partial words. Theor. Comput. Sci. 530: 42-57 (2014) - [c1]Francine Blanchet-Sadri, Jordan Nikkel, J. D. Quigley, Xufan Zhang:
Computing Primitively-Rooted Squares and Runs in Partial Words. IWOCA 2014: 86-97
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