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2020 – today
- 2024
[j19]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)- [c53]Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao:
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. ASPLOS (3) 2024: 239-252 - [c52]Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao:
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE 2024: 1-6 - [c51]Dongning Ma, Cong Hao, Xun Jiao:
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. ISQED 2024: 1-5 - [c50]Dongning Ma, Xun Jiao:
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. SIGIR 2024: 2507-2511 - [i18]Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar:
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions. CoRR abs/2405.01741 (2024) - 2023
- [j18]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15(1): 37-40 (2023) - [j17]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) - [j16]Weisi Kong, Xun Jiao, Yuhua Xu, Bolin Zhang, Qinghai Yang:
A Transformer-Based Contrastive Semi-Supervised Learning Framework for Automatic Modulation Recognition. IEEE Trans. Cogn. Commun. Netw. 9(4): 950-962 (2023) - [j15]Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj:
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5732-5744 (2023) - [c49]Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang:
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC 2023: 553-560 - [c48]Dongning Ma, Sizhe Zhang, Xun Jiao:
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. ASP-DAC 2023: 598-605 - [c47]Dongning Ma, Pengfei Zhao, Xun Jiao:
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CVPR Workshops 2023: 2230-2237 - [c46]Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani:
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE 2023: 1-2 - [c45]Sizhe Zhang, Zhao Wang, Xun Jiao:
Adversarial Attack on Hyperdimensional Computing-based NLP Applications. DATE 2023: 1-6 - [c44]Sizhe Zhang, Achira Amur, Emma Olson, Peleg Kremer, Xun Jiao, Virginia Smith, Bridget Wadzuk:
Leveraging Machine Learning to Understand Green Stormwater Infrastructure Performance Risks. GHTC 2023: 302-303 - [c43]Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao, Moeness G. Amin:
Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions. ICASSP 2023: 1-5 - [c42]Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani:
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD 2023: 1-8 - [c41]Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao:
On Hyperdimensional Computing-based Federated Learning: A Case Study. IJCNN 2023: 1-8 - [c40]Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao:
PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks. ISQED 2023: 1-7 - [c39]Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar:
Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study. RTSS 2023: 468-472 - [i17]Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar:
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors. CoRR abs/2307.10244 (2023) - [i16]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) - [i15]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) - [i14]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
- [j14]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) - [c38]Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao:
Handcrafted and Neural Network Based Features for Outlier Modulation Detection. IEEECONF 2022: 698-702 - [c37]Dongning Ma, Rahul Thapa, Xun Jiao:
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. BIBM 2022: 390-393 - [c36]Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.:
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS 2022: 25-34 - [c35]Ruixuan Wang, Xun Jiao, X. Sharon Hu:
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC 2022: 43-48 - [c34]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 - [c33]Ruixuan Wang, Xun Jiao:
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE 2022: 298-303 - [c32]Sizhe Zhang, Mohsen Imani, Xun Jiao:
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD 2022: 31:1-31:9 - [c31]Dongning Ma, Xue Qin, Xun Jiao:
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers. ISQED 2022: 1-5 - [c30]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 - [i13]Dongning Ma, Sizhe Zhang, Xun Jiao:
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. CoRR abs/2202.02964 (2022) - [i12]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) - [i11]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR abs/2203.13542 (2022) - [i10]Dongning Ma, Xun Jiao:
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. CoRR abs/2207.12932 (2022) - [i9]Dongning Ma, Pengfei Zhao, Xun Jiao:
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CoRR abs/2209.11356 (2022) - [i8]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) - [i7]Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar:
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR abs/2212.03475 (2022) - 2021
- [j13]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) - [j12]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) - [c29]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 - [c28]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC 2021: 391-396 - [c27]Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao:
Workload-Aware Approximate Computing Configuration. DATE 2021: 920-925 - [c26]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 - [c25]Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao:
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. ISVLSI 2021: 84-89 - [c24]Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. ISVLSI 2021: 90-95 - [c23]Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao:
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks. RTAS 2021: 461-464 - [i6]Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao:
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. CoRR abs/2102.03987 (2021) - [i5]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2103.08668 (2021) - [i4]Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2105.12770 (2021) - [i3]Dongning Ma, Xun Jiao:
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing. CoRR abs/2106.02894 (2021) - 2020
- [j11]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) - [j10]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) - [j9]Junlong Zhou, Xun Jiao, Qingling Zhao, Xiaokang Wang, Shiyan Hu:
Introduction to the special issue on dependable cyber physical systems. J. Syst. Archit. 108: 101780 (2020) - [j8]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) - [j7]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) - [j6]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) - [c22]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 - [c21]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 - [c20]Dongning Ma, Xun Jiao:
AxBy: Approximate Computation Bypass for Data-Intensive Applications. DSD 2020: 332-339 - [c19]Dongning Ma, Xun Jiao:
A Machine Learning-Based Error Model of Voltage-Scaled Circuits. DSN (Supplements) 2020: 89-91 - [c18]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 - [c17]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 - [i2]Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj:
Neural Network Verification through Replication. CoRR abs/2007.06226 (2020)
2010 – 2019
- 2019
- [j5]Philip Brisk, Suman Chakraborty, Claudionor Coelho, Abdoulaye Gamatié, Swaroop Ghosh, Xun Jiao:
TCAD EIC Message: February 2019. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(2): 197-198 (2019) - [j4]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) - [c16]Dongning Ma, Siyu Shen, Xun Jiao:
DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress. CODES+ISSS 2019: 7:1-7:2 - [c15]Dongning Ma, Xun Jiao:
Energy Efficient GPU Applications Through Computation Skip. ICESS 2019: 1-2 - [c14]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 - [c13]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 - [c12]Dongning Ma, Xun Jiao:
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks. NANOARCH 2019: 1-6 - [c11]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 - [c10]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
- [b1]Xun Jiao:
Improved Timing Error Resilience of Microelectronic Computing Systems using Cross-layer Optimizations. University of California, San Diego, USA, 2018 - [j3]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) - [c9]Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta:
Energy-efficient neural networks using approximate computation reuse. DATE 2018: 1223-1228 - [c8]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
- [c7]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 - [c6]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 - [c5]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
- [c4]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
- [c3]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 - 2013
- [j2]Xibin Zhao, Hehua Zhang, Yu Jiang, Songzheng Song, Xun Jiao, Ming Gu:
An Effective Heuristic-Based Approach for Partitioning. J. Appl. Math. 2013: 138037:1-138037:8 (2013) - [j1]Yu Jiang, Hehua Zhang, Xiaoyu Song, Xun Jiao, William N. N. Hung, Ming Gu, Jiaguang Sun:
Bayesian-Network-Based Reliability Analysis of PLC Systems. IEEE Trans. Ind. Electron. 60(11): 5325-5336 (2013) - 2012
- [c2]Yu Jiang, Hehua Zhang, Xun Jiao, Xiaoyu Song, William N. N. Hung, Ming Gu, Jiaguang Sun:
Uncertain Model and Algorithm for Hardware/Software Partitioning. ISVLSI 2012: 243-248 - [c1]Hehua Zhang, Yu Jiang, Xun Jiao, Xiaoyu Song, William N. N. Hung, Ming Gu:
Reliability Analysis of PLC Systems by Bayesian Network. SERE 2012: 283-290
Coauthor Index
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