Distributed Deadlock Detection/Resolution based on the Dynamic WFG. - Xin Cheng; Hongwei Liu 002; Jian Dong 010; Decheng Zuo; Xiaozong Yang (IASTED PDCS, 2005)

Low-Overhead Accrual Failure Detector. - Xiao Ren; Jian Dong 010; Hongwei Liu 002; Yang Li; Xiaozong Yang (Sensors, 2012)

An Adaptive Failure Detector Based on Quality of Service in Peer-to-Peer Networks. - Jian Dong 010; Xiao Ren; Decheng Zuo; Hongwei Liu 002 (Sensors, 2014)

SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Host States Naive Bayesian Prediction Model. - Lianpeng Li; Jian Dong 010; Decheng Zuo; Jiaxi Liu (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Information Hiding behind Approximate Computation. - Ye Wang; Qian Xu; Gang Qu 001; Jian Dong 010 (ACM Great Lakes Symposium on VLSI, 2019)

Minimizing SLA Violation and Power Consumption in Cloud Data Centers Using Host State 3-Order Markov Chain Model. - Lianpeng Li; Jian Dong 010; Decheng Zuo; Yao Zhao (HPCC/SmartCity/DSS, 2019)

Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture. - Yanjun Shu; Wei Emma Zhang; Yanxin Liu; Chunpei Wang; Jian Dong 010; Zhan Zhang 002; Dongxi Wen; Decheng Zuo (ICPCSEE (2), 2019)

Experimental Analysis and Comparison of Load Prediction Algorithms in Cloud Data Center. - Yanxin Liu; Jian Dong 010; Decheng Zuo; Hongwei Liu 002 (QRS, 2019)

B-SEFI: A Binary Level Soft Error Fault Injection Tool. - Ying Wang; Jian Dong 010; Sen Zhang; Decheng Zuo (QRS Companion, 2019)

SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Robust Linear Regression Prediction Model. - Lianpeng Li; Jian Dong 010; Decheng Zuo; Jin Wu (IEEE Access, 2019)

Model-Based: End-to-End Molecular Communication System Through Deep Reinforcement Learning Auto Encoder. - Soha Mohamed; Jian Dong 010; Allah Rakhio Junejo; De-Cheng Zuo (IEEE Access, 2019)

SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Host State Binary Decision Tree Prediction Model. - Lianpeng Li; Jian Dong 010; Decheng Zuo; Yao Zhao; Tianyang Li (IEICE Trans. Inf. Syst., 2019)

A Comprehensive Technological Survey on the Dependable Self-Management CPS: From Self-Adaptive Architecture to Self-Management Strategies. - Peng Zhou 005; Decheng Zuo; Kun Mean Hou; Zhan Zhang 002; Jian Dong 010; Jianjin Li; Haiying Zhou (Sensors, 2019)

A Machine Learning based Approximate Computing Approach on Data Flow Graphs: Work-in-Progress. - Ye Wang; Jian Dong 010; Yanxin Liu; Chunpei Wang; Gang Qu 001 (EMSOFT, 2020)

Is It Approximate Computing or Malicious Computing? - Ye Wang; Jian Dong 010; Qian Xu; Zhaojun Lu; Gang Qu 001 (ACM Great Lakes Symposium on VLSI, 2020)

PerfDBT: Efficient Performance Regression Testing of Dynamic Binary Translation. - Jin Wu; Jian Dong 010; Ruili Fang; Wenwen Wang 001; Decheng Zuo (ICCD, 2020)

Molecular communication via diffusion with spherical receiver & transmitter and trapezoidal container. - Soha Mohamed; Jian Dong 010; Hongwei Liu 002; De-Cheng Zuo (Microprocess. Microsystems, 2020)

Improving the Dependability of Self-Adaptive Cyber Physical System With Formal Compositional Contract. - Peng Zhou 005; Decheng Zuo; Kun Mean Hou; Zhan Zhang 002; Jian Dong 010 (IEEE Trans. Reliab., 2020)

FTApprox: A Fault-Tolerant Approximate Arithmetic Computing Data Format. - Ye Wang; Jian Dong 010; Qian Xu; Gang Qu 001 (DATE, 2021)

WDBT: Wear Characterization, Reduction, and Leveling of DBT Systems for Non-Volatile Memory. - Jin Wu; Jian Dong 010; Ruili Fang; Wen Zhang; Wenwen Wang 001; Decheng Zuo (MEMSYS, 2021)

Effective exploitation of SIMD resources in cross-ISA virtualization. - Jin Wu; Jian Dong 010; Ruili Fang; Ziyi Zhao; Xiaoli Gong; Wenwen Wang 001; Decheng Zuo (VEE, 2021)

FADATest: Fast and Adaptive Performance Regression Testing of Dynamic Binary Translation Systems. - Jin Wu; Jian Dong 010; Ruili Fang; Wen Zhang; Wenwen Wang 001; Decheng Zuo (ICSE, 2022)

WDBT: Non-volatile memory wear characterization and mitigation for DBT systems. - Jin Wu; Jian Dong 010; Ruili Fang; Wen Zhang; Wenwen Wang 001; Decheng Zuo (J. Syst. Softw., 2022)

Double-Shift: A Low-Power DNN Weights Storage and Access Framework based on Approximate Decomposition and Quantization. - Ming Han; Ye Wang; Jian Dong 010; Gang Qu 001 (ACM Trans. Design Autom. Electr. Syst., 2022)

RMLIM: A Runtime Machine Learning Based Identification Model for Approximate Computing on Data Flow Graphs. - Ye Wang; Jian Dong 010; Yanxin Liu; Chunpei Wang; Gang Qu 001 (IEEE Trans. Sustain. Comput., 2022)

ATC: Approximate Temporal Coding for Efficient Implementations of Spiking Neural Networks. - Ming Han; Ye Wang; Jian Dong 010; Heng Liu; Jin Wu; Gang Qu 001 (ACM Great Lakes Symposium on VLSI, 2023)

Effuzz: Efficient fuzzing by directed search for smart contracts. - Songyan Ji; Jin Wu; Junfu Qiu; Jian Dong 010 (Inf. Softw. Technol., 2023)

Dishonest Approximate Computing: A Coming Crisis for Cloud Clients. - Ye Wang; Jian Dong 010; Ming Han; Jin Wu; Gang Qu 001 (CoRR, 2024)

Lightning: Leveraging DVFS-induced Transient Fault Injection to Attack Deep Learning Accelerator of GPUs. - Rihui Sun; Pengfei Qiu; Yongqiang Lyu 001; Jian Dong 010; Haixia Wang 001; Dongsheng Wang 002; Gang Qu 001 (ACM Trans. Design Autom. Electr. Syst., 2024)

BPUFuzzer: Effective Fuzz Testing for Branching Transient Execution Vulnerabilities of RISC-V CPU. - Rihui Sun; Jin Wu; Hanyin Liu; Zikang Tao; Gang Qu 001; Dong-Sheng Wang 002; Yongqiang Lyu 001; Jian Dong 010 (DAC, 2025)