Xun Jiao

23 papers A* 1A 8C 1Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph-Based Deep Learning Models for Predicting p
J. Chem. Inf. Model.
Ziyu Song, Ruixuan Wang, Xun Jiao, Zuyi Huang
2025 A conf
CP-Bench: A PyTorch Test Suite to Detect AI Hardware Failure, Performance Degradation, and Silent Data Corruption.
ITC
Xun Jiao, Sunny Yang, Suman Gumudavelli, Shreya Varshini, Abhinav Pandey, Abhinav Jauhri, Francesco Caggioni, Gautham Vunnam, Harish Dattatraya Dixit, Jason Liang, Philip Henzler, Sameeksha Gupta, Tyler Graf, Venkat Ramesh, Fan Fred Lin
2025 — conf
Hardware Telemetry at Scale: A Case Study on SSDs Endurance Monitoring in Datacenters.
DSN-S
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
2025 — conf
Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience.
DSN-S
Xun Jiao, Abhinav Pandey, Karthik Pattabiraman, Fan Fred Lin
2025 A* conf
Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences.
ISCA
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
2025 A conf
Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study.
ISSRE
Dongning Ma, Xun Jiao, Fan Fred Lin, Daniel Moore, Sriram Sankar
2024 A conf
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing.
DATE
Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao
2024 J jnl
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions.
CoRR
Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar
2024 C conf
Research on Task Migration Problem Based on Link Uncertainty in Adversarial Scenarios.
PDCAT
Xiangxiang Xing, Pan Li, Tianyu Zuo, Yuanshuang Jiang, Kai Di, Xin Wang, Xun Jiao, Yichuan Jiang, Dan Chen
2023 J jnl
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities.
IEEE Trans. Neural Networks Learn. Syst.
Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj
2023 A conf
Adversarial Attack on Hyperdimensional Computing-based NLP Applications.
DATE
Sizhe Zhang, Zhao Wang, Xun Jiao
2023 A conf
Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study.
RTSS
Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar
2023 — conf
Leveraging Machine Learning to Understand Green Stormwater Infrastructure Performance Risks.
GHTC
Sizhe Zhang, Achira Amur, Emma Olson, Peleg Kremer, Xun Jiao, Virginia Smith, Bridget Wadzuk
2023 Misc conf
Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions.
ICASSP
Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao, Moeness G. Amin
2022 J jnl
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults.
CoRR
Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar
2022 — conf
Handcrafted and Neural Network Based Features for Outlier Modulation Detection.
IEEECONF
Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao
2022 A conf
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing.
DATE
Ruixuan Wang, Xun Jiao
2022 A conf
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling.
ICCAD
Sizhe Zhang, Mohsen Imani, Xun Jiao
2021 A conf
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks.
RTAS
Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao
2020 J jnl
Introduction to the special issue on dependable cyber physical systems.
J. Syst. Archit.
Junlong Zhou, Xun Jiao, Qingling Zhao, Xiaokang Wang, Shiyan Hu
2020 J jnl
Neural Network Verification through Replication.
CoRR
Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj
2019 J jnl
TCAD EIC Message: February 2019.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Philip Brisk, Suman Chakraborty, Claudionor Coelho, Abdoulaye Gamatié, Swaroop Ghosh, Xun Jiao
2018 — —
Improved Timing Error Resilience of Microelectronic Computing Systems using Cross-layer Optimizations
Xun Jiao