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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Xun Jiao 0001
![[0000-0002-5751-4841]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5751-4841")
— Villanova University, Villanova, USA - Xun Jiao 0002 — Villanova University, Villanova, USA
- Xun Jiao 0003 — Academy of Military Sciences, Beijing, China
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2020 – today
- 2025
[c33]Xun Jiao, Abhinav Pandey, Karthik Pattabiraman, Fan Fred Lin:
Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience. DSN-S 2025: 140-146- [c32]Olusiji Medaiyese, Fred Lin, Harish Dattatraya Dixit, Richa Mishra, Andrea Baglioni, Leandro Silva, Mike Elkin, Andrei Ilyashenko, Gor Safaryan, Dhankaran Singh Ajravat, Xun Jiao, Vineet Parekh:
Hardware Telemetry at Scale: A Case Study on SSDs Endurance Monitoring in Datacenters. DSN-S 2025: 147-152 - [c31]Joel Coburn, Chunqiang Tang, Sameer Abu Asal, Neeraj Agrawal, Raviteja Chinta, Harish Dattatraya Dixit, Brian Dodds, Saritha Dwarakapuram, Amin Firoozshahian, Cao Gao, Kaustubh Gondkar, Tyler Graf, Junhan Hu, Jian Huang, Sterling Hughes, Adam Hutchin, Bhasker Jakka, Guoqiang Jerry Chen, Indu Kalyanaraman, Ashwin Kamath, Pankaj Kansal, Erum Kazi, Roman Levenstein, Mahesh Maddury, Alex Mastro, Siji Medaiyese, Pritesh Modi, Jack Montgomery, Nadathur Satish, Amit Nagpal, Ashwin Narasimha, Maxim Naumov, Eleanor Ozer, Jongsoo Park, Poorvaja Ramani, Harikrishna Reddy, David Reiss, Deboleena Roy, Sathish Sekar, Arushi Sharma, Pavan Shetty, Aravind Sukumaran-Rajam, Eran Tal, Mike Tsai, Shreya Varshini, Richard Wareing, Olívia Wu, Xiaolong Xie, Jinghan Yang, Hangchen Yu, Tanmay Zargar, Zitong Zeng, Feixiong Zhang, Ajit Mathews, Xun Jiao, Jiyuan Zhang, Emmanuel Menage, Truls Edvard Stokke, Mohammed Sourouri:
Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences. ISCA 2025: 1689-1702 - 2024
- [c30]Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao:
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE 2024: 1-6 - [c29]Dongning Ma, Cong Hao, Xun Jiao:
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. ISQED 2024: 1-5 - [c28]Xiangxiang Xing, Pan Li, Tianyu Zuo, Yuanshuang Jiang, Kai Di, Xin Wang, Xun Jiao, Yichuan Jiang, Dan Chen:
Research on Task Migration Problem Based on Link Uncertainty in Adversarial Scenarios. PDCAT 2024: 179-184 - [i12]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
- [j3]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) - [c27]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 - [c26]Dongning Ma, Sizhe Zhang, Xun Jiao:
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. ASP-DAC 2023: 598-605 - [c25]Dongning Ma, Pengfei Zhao, Xun Jiao:
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CVPR Workshops 2023: 2230-2237 - [c24]Hamza Errahmouni Barkam, SungHeon Evan Jeong, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani:
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE 2023: 1-2 - [c23]Sizhe Zhang, Zhao Wang, Xun Jiao:
Adversarial Attack on Hyperdimensional Computing-based NLP Applications. DATE 2023: 1-6 - [c22]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 - [c21]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 - [c20]Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani:
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD 2023: 1-8 - [c19]Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao:
On Hyperdimensional Computing-based Federated Learning: A Case Study. IJCNN 2023: 1-8 - [c18]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 - [c17]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 - [i11]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) - 2022
- [c16]Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao:
Handcrafted and Neural Network Based Features for Outlier Modulation Detection. IEEECONF 2022: 698-702 - [c15]Dongning Ma, Rahul Thapa, Xun Jiao:
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. BIBM 2022: 390-393 - [c14]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 - [c13]Ruixuan Wang, Xun Jiao:
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE 2022: 298-303 - [c12]Sizhe Zhang, Mohsen Imani, Xun Jiao:
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD 2022: 31:1-31:9 - [c11]Dongning Ma, Xue Qin, Xun Jiao:
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers. ISQED 2022: 1-5 - [i10]Dongning Ma, Sizhe Zhang, Xun Jiao:
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. CoRR abs/2202.02964 (2022) - [i9]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR abs/2203.13542 (2022) - [i8]Dongning Ma, Xun Jiao:
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. CoRR abs/2207.12932 (2022) - [i7]Dongning Ma, Pengfei Zhao, Xun Jiao:
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CoRR abs/2209.11356 (2022) - [i6]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
- [c10]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC 2021: 391-396 - [c9]Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao:
Workload-Aware Approximate Computing Configuration. DATE 2021: 920-925 - [c8]Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao:
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. ISVLSI 2021: 84-89 - [c7]Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. ISVLSI 2021: 90-95 - [c6]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 - [i5]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) - [i4]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2103.08668 (2021) - [i3]Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2105.12770 (2021) - [i2]Dongning Ma, Xun Jiao:
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing. CoRR abs/2106.02894 (2021) - 2020
- [j2]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) - [c5]Dongning Ma, Xun Jiao:
AxBy: Approximate Computation Bypass for Data-Intensive Applications. DSD 2020: 332-339 - [c4]Dongning Ma, Xun Jiao:
A Machine Learning-Based Error Model of Voltage-Scaled Circuits. DSN (Supplements) 2020: 89-91 - [i1]Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj:
Neural Network Verification through Replication. CoRR abs/2007.06226 (2020)
2010 – 2019
- 2019
- [j1]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) - [c3]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 - [c2]Dongning Ma, Xun Jiao:
Energy Efficient GPU Applications Through Computation Skip. ICESS 2019: 1-2 - [c1]Dongning Ma, Xun Jiao:
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks. NANOARCH 2019: 1-6 - 2018
- [b1]Xun Jiao:
Improved Timing Error Resilience of Microelectronic Computing Systems using Cross-layer Optimizations. University of California, San Diego, USA, 2018
Coauthor Index
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