Supervised learning based model for predicting variability-induced timing errors. - Xun Jiao 002; Abbas Rahimi; Balakrishnan Narayanaswamy; Hamed Fatemi; José Pineda de Gyvez; Rajesh K. Gupta 001 (NEWCAS, 2015)

WILD: A workload-based learning model to predict dynamic delay of functional units. - Xun Jiao 002; Yu Jiang 001; Abbas Rahimi; Rajesh K. Gupta 001 (ICCD, 2016)

Combining structural and timing errors in overclocked inexact speculative adders. - Xun Jiao 002; Vincent Camus; Mattia Cacciotti; Yu Jiang 001; Christian C. Enz; Rajesh K. Gupta 001 (DATE, 2017)

SLoT: A supervised learning model to predict dynamic timing errors of functional units. - Xun Jiao 002; Yu Jiang 001; Abbas Rahimi; Rajesh K. Gupta 001 (DATE, 2017)

An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations. - Xun Jiao 002; Mulong Luo; Jeng-Hau Lin; Rajesh K. Gupta 001 (ICCAD, 2017)

Energy-efficient neural networks using approximate computation reuse. - Xun Jiao 002; Vahideh Akhlaghi; Yu Jiang 001; Rajesh K. Gupta 001 (DATE, 2018)

SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing. - Mingzhe Wang; Jie Liang 006; Yuanliang Chen; Yu Jiang 001; Xun Jiao 002; Han Liu 010; Xibin Zhao; Jiaguang Sun 001 (ICSE (Companion Volume), 2018)

EnFuzz: From Ensemble Learning to Ensemble Fuzzing. - Yuanliang Chen; Yu Jiang 001; Jie Liang 006; Mingzhe Wang; Xun Jiao 002 (CoRR, 2018)

CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. - Xun Jiao 002; Abbas Rahimi; Yu Jiang 001; Jianguo Wang 001; Hamed Fatemi; José Pineda de Gyvez; Rajesh K. Gupta 001 (IEEE Trans. Computers, 2018)

Engineering a Better Fuzzer with Synergically Integrated Optimizations. - Jie Liang 006; Yuanliang Chen; Mingzhe Wang; Yu Jiang 001; Zijiang Yang 006; Chengnian Sun; Xun Jiao 002; Jiaguang Sun 001 (ISSRE, 2019)

Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design. - Yu Jiang 001; Mingzhe Wang; Xun Jiao 002; Houbing Song; Hui Kong 004; Rui Wang 024; Yongxin Liu; Jian Wang 061; Jiaguang Sun 001 (iThings/GreenCom/CPSCom/SmartData, 2019)

Industry practice of coverage-guided enterprise Linux kernel fuzzing. - Heyuan Shi; Runzhe Wang; Ying Fu; Mingzhe Wang; Xiaohai Shi; Xun Jiao 002; Houbing Song; Yu Jiang 001; Jiaguang Sun 001 (ESEC/SIGSOFT FSE, 2019)

EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers. - Yuanliang Chen; Yu Jiang 001; Fuchen Ma; Jie Liang 006; Mingzhe Wang; Chijin Zhou; Xun Jiao 002; Zhuo Su 005 (USENIX Security Symposium, 2019)

Polar: Function Code Aware Fuzz Testing of ICS Protocol. - Zhengxiong Luo 002; Feilong Zuo; Yu Jiang 001; Jian Gao 008; Xun Jiao 002; Jiaguang Sun 001 (ACM Trans. Embed. Comput. Syst., 2019)

TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. - Xun Jiao 002; Dongning Ma; Wanli Chang 001; Yu Jiang 001 (DAC, 2020)

ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation. - Zhengxiong Luo 002; Feilong Zuo; Yuheng Shen; Xun Jiao 002; Wanli Chang 001; Yu Jiang 001 (DAC, 2020)

AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. - Dongning Ma; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu; Xun Jiao 002 (ACM Great Lakes Symposium on VLSI, 2020)

Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks. - Xiaotian Dai 001; Shuai Zhao 004; Yu Jiang 001; Xun Jiao 002; Xiaobo Sharon Hu; Wanli Chang 001 (ICCAD, 2020)

Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. - Jeng-Hau Lin; Xun Jiao 002; Mulong Luo; Zhuowen Tu; Rajesh K. Gupta 001 (IEEE Des. Test, 2020)

WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications. - Dongning Ma; Xun Jiao 002 (IEEE Embed. Syst. Lett., 2020)

EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking. - Jian Gao 008; Yiwen Xu; Yu Jiang 001; Zhe Liu 001; Wanli Chang 001; Xun Jiao 002; Jiaguang Sun 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy, and Makespan. - Jing Huang 012; Renfa Li; Xun Jiao 002; Yu Jiang 001; Wanli Chang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units. - Xun Jiao 002; Dongning Ma; Wanli Chang 001; Yu Jiang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). - Sizhe Zhang; Ruixuan Wang; Jeff Jun Zhang; Abbas Rahimi; Xun Jiao 002 (ASAP, 2021)

Towards scalable, secure, and smart mission-critical IoT systems: review and vision. - Xiaolong Guo 001; Song Han 002; X. Sharon Hu; Xun Jiao 002; Yier Jin; Fanxin Kong; Michael Lemmon 001 (EMSOFT, 2021)

DeepFuzzer: Accelerated Deep Greybox Fuzzing. - Jie Liang 006; Yu Jiang 001; Mingzhe Wang; Xun Jiao 002; Yuanliang Chen; Houbing Song; Kim-Kwang Raymond Choo (IEEE Trans. Dependable Secur. Comput., 2021)

Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker. - Jian Gao 008; Yu Jiang 001; Zhe Liu 001; Xin Yang; Cong Wang 020; Xun Jiao 002; Zijiang Yang 006; Jiaguang Sun 001 (IEEE Trans. Software Eng., 2021)

ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. - Ruixuan Wang; Xun Jiao 002; X. Sharon Hu (DAC, 2022)

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. - Sizhe Zhang; Ruixuan Wang; Dongning Ma; Jeff Jun Zhang; Xunzhao Yin; Xun Jiao 002 (DATE, 2022)

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Venkat Kalyan Reddy Yasa; Yi Sheng; Dayane Reis; Xun Jiao 002; Weiwen Jiang; Lei Yang 018 (ISVLSI, 2022)

Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Yi Sheng; Sizhe Zhang; Ruixuan Wang; Kenneth W. Foreman; Mikell Paige; Xun Jiao 002; Weiwen Jiang; Lei Yang 018 (CoRR, 2022)

DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations. - Dongning Ma; Xinqiao Zhang; Ke Huang 001; Yu Jiang 001; Wanli Chang 001; Xun Jiao 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. - Ruixuan Wang; Dongning Ma; Xun Jiao 002 (IEEE Embed. Syst. Lett., 2023)

Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing. - Dongning Ma; Tajana Simunic Rosing; Xun Jiao 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. - Dongning Ma; Xun Jiao 002 (SIGIR, 2024)

A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. - Ruixuan Wang; Sabrina Hassan Moon; Xiaobo Sharon Hu; Xun Jiao 002; Dayane Reis (IEEE Trans. Computers, 2024)

Exploring Hyperdimensional Computing Robustness Against Hardware Errors. - Sizhe Zhang; Kyle Juretus; Xun Jiao 002 (IEEE Trans. Computers, 2025)

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. - Vasileios Leon; Muhammad Abdullah Hanif; Giorgos Armeniakos; Xun Jiao 002; Muhammad Shafique 001; Kiamal Z. Pekmestzi; Dimitrios Soudris (ACM Comput. Surv., 2025)

Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. - Vasileios Leon; Muhammad Abdullah Hanif; Giorgos Armeniakos; Xun Jiao 002; Muhammed Shafique 001; Kiamal Z. Pekmestzi; Dimitrios Soudris (ACM Comput. Surv., 2025)