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ORCIDXun Jiao 0002
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2020 – today
- 2025
[j16]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. ACM Comput. Surv. 57(7): 177:1-177:36 (2025)- [j15]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammed Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. ACM Comput. Surv. 57(7): 185:1-185:36 (2025) - [j14]Sizhe Zhang, Kyle Juretus, Xun Jiao:
Exploring Hyperdimensional Computing Robustness Against Hardware Errors. IEEE Trans. Computers 74(6): 1963-1977 (2025) - 2024
- [j13]Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis:
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. IEEE Trans. Computers 73(6): 1559-1574 (2024) - [c21]Dongning Ma, Xun Jiao:
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. SIGIR 2024: 2507-2511 - 2023
- [j12]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15(1): 37-40 (2023) - [j11]Dongning Ma, Tajana Simunic Rosing, Xun Jiao:
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4052-4064 (2023) - [i6]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR abs/2307.11124 (2023) - [i5]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR abs/2307.11128 (2023) - [i4]Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis:
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection. CoRR abs/2311.17852 (2023) - 2022
- [j10]Dongning Ma, Xinqiao Zhang, Ke Huang, Yu Jiang, Wanli Chang, Xun Jiao:
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 827-839 (2022) - [c20]Ruixuan Wang, Xun Jiao, X. Sharon Hu:
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC 2022: 43-48 - [c19]Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao:
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE 2022: 52-55 - [c18]Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang:
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. ISVLSI 2022: 352-357 - [i3]Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang:
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR abs/2202.05827 (2022) - [i2]Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun:
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker. CoRR abs/2211.05441 (2022) - 2021
- [j9]Jie Liang, Yu Jiang, Mingzhe Wang, Xun Jiao, Yuanliang Chen, Houbing Song, Kim-Kwang Raymond Choo:
DeepFuzzer: Accelerated Deep Greybox Fuzzing. IEEE Trans. Dependable Secur. Comput. 18(6): 2675-2688 (2021) - [j8]Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun:
Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker. IEEE Trans. Software Eng. 47(11): 2575-2589 (2021) - [c17]Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao:
Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP 2021: 211-217 - [c16]Xiaolong Guo, Song Han, X. Sharon Hu, Xun Jiao, Yier Jin, Fanxin Kong, Michael Lemmon:
Towards scalable, secure, and smart mission-critical IoT systems: review and vision. EMSOFT 2021: 1-10 - 2020
- [j7]Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta:
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. IEEE Des. Test 37(5): 75-84 (2020) - [j6]Dongning Ma, Xun Jiao:
WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications. IEEE Embed. Syst. Lett. 12(3): 74-77 (2020) - [j5]Jing Huang, Renfa Li, Xun Jiao, Yu Jiang, Wanli Chang:
Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy, and Makespan. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3336-3347 (2020) - [j4]Jian Gao, Yiwen Xu, Yu Jiang, Zhe Liu, Wanli Chang, Xun Jiao, Jiaguang Sun:
EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3420-3432 (2020) - [j3]Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang:
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5032-5041 (2020) - [c15]Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang:
TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. DAC 2020: 1-6 - [c14]Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang:
ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation. DAC 2020: 1-6 - [c13]Dongning Ma, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu, Xun Jiao:
AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2020: 363-368 - [c12]Xiaotian Dai, Shuai Zhao, Yu Jiang, Xun Jiao, Xiaobo Sharon Hu, Wanli Chang:
Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks. ICCAD 2020: 99:1-99:9
2010 – 2019
- 2019
- [j2]Zhengxiong Luo, Feilong Zuo, Yu Jiang, Jian Gao, Xun Jiao, Jiaguang Sun:
Polar: Function Code Aware Fuzz Testing of ICS Protocol. ACM Trans. Embed. Comput. Syst. 18(5s): 93:1-93:22 (2019) - [c11]Jie Liang, Yuanliang Chen, Mingzhe Wang, Yu Jiang, Zijiang Yang, Chengnian Sun, Xun Jiao, Jiaguang Sun:
Engineering a Better Fuzzer with Synergically Integrated Optimizations. ISSRE 2019: 82-92 - [c10]Yu Jiang, Mingzhe Wang, Xun Jiao, Houbing Song, Hui Kong, Rui Wang, Yongxin Liu, Jian Wang, Jiaguang Sun:
Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design. iThings/GreenCom/CPSCom/SmartData 2019: 208-215 - [c9]Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang, Jiaguang Sun:
Industry practice of coverage-guided enterprise Linux kernel fuzzing. ESEC/SIGSOFT FSE 2019: 986-995 - [c8]Yuanliang Chen, Yu Jiang, Fuchen Ma, Jie Liang, Mingzhe Wang, Chijin Zhou, Xun Jiao, Zhuo Su:
EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers. USENIX Security Symposium 2019: 1967-1983 - 2018
- [j1]Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta:
CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. IEEE Trans. Computers 67(6): 771-783 (2018) - [c7]Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta:
Energy-efficient neural networks using approximate computation reuse. DATE 2018: 1223-1228 - [c6]Mingzhe Wang, Jie Liang, Yuanliang Chen, Yu Jiang, Xun Jiao, Han Liu, Xibin Zhao, Jiaguang Sun:
SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing. ICSE (Companion Volume) 2018: 61-64 - [i1]Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao:
EnFuzz: From Ensemble Learning to Ensemble Fuzzing. CoRR abs/1807.00182 (2018) - 2017
- [c5]Xun Jiao, Vincent Camus, Mattia Cacciotti, Yu Jiang, Christian C. Enz, Rajesh K. Gupta:
Combining structural and timing errors in overclocked inexact speculative adders. DATE 2017: 482-487 - [c4]Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta:
SLoT: A supervised learning model to predict dynamic timing errors of functional units. DATE 2017: 1183-1188 - [c3]Xun Jiao, Mulong Luo, Jeng-Hau Lin, Rajesh K. Gupta:
An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations. ICCAD 2017: 945-950 - 2016
- [c2]Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta:
WILD: A workload-based learning model to predict dynamic delay of functional units. ICCD 2016: 185-192 - 2015
- [c1]Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta:
Supervised learning based model for predicting variability-induced timing errors. NEWCAS 2015: 1-4
Coauthor Index
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last updated on 2025-10-17 01:36 CEST by the dblp team
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