Considering the Dependency of Fault Detection and Correction in Software Reliability Modeling. - Yanjun Shu; Zhibo Wu; Hongwei Liu 002; Xiaozong Yang (CSSE (2), 2008)

Considering Fault Correction Lag in Software Reliability Modeling. - Yanjun Shu; Zhibo Wu; Hongwei Liu 002; Xiaozong Yang (PRDC, 2008)

Analysis of the Debugging Model Based on Probabilistic State Transition. - Jinyong Wang; Zhibo Wu; Yanjun Shu (J. Softw., 2013)

A General Imperfect Software Debugging Model Considering the Nonlinear Process of Fault Introduction. - Jinyong Wang; Zhibo Wu; Yanjun Shu; Zhan Zhang (QSIC, 2014)

A study on software reliability prediction based on triple exponential smoothing method (WIP). - Jinyong Wang; Zhibo Wu; Yanjun Shu; Zhan Zhang; Lixing Xue (SummerSim, 2014)

A Hybrid QoS Evaluation Tool Based on the Cloud Computing Platform. - Yanjun Shu; Yan Zhao; Hongwei Liu 002; De-Cheng Zuo; Xiaozong Yang (ICA3PP (4), 2015)

An imperfect software debugging model considering log-logistic distribution fault content function. - Jinyong Wang; Zhibo Wu; Yanjun Shu; Zhan Zhang (J. Syst. Softw., 2015)

Stability and passivity analysis for uncertain discrete-time neural networks with time-varying delay. - Yanjun Shu; Xin-Ge Liu; Yajuan Liu (Neurocomputing, 2016)

Feature Analysis for Duplicate Detection in Programming QA Communities. - Wei Emma Zhang; Quan Z. Sheng; Yanjun Shu; Vanh Khuyen Nguyen (ADMA, 2017)

A Tree-Based Reliability Analysis for Fault-Tolerant Web Services Composition. - Yanjun Shu; Decheng Zuo; Hongwei Liu 002; Quan Z. Sheng; Wei Emma Zhang; Jian Yang 001 (ICSOC, 2017)

Improved Results on Guaranteed Generalized ({ mathcal {H}}_{2} ) Performance State Estimation for Delayed Static Neural Networks. - Yanjun Shu; Xin-Ge Liu; Yajuan Liu 001; Ju H. Park 001 (Circuits Syst. Signal Process., 2017)

Further Results on Stabilization of Chaotic Systems Based on Fuzzy Memory Sampled-Data Control. - Yajuan Liu 001; Ju H. Park 001; Bao-Zhu Guo; Yanjun Shu (IEEE Trans. Fuzzy Syst., 2018)

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

Robust neural tracking control for switched nonaffine stochastic nonlinear systems with unknown control directions and backlash-like hysteresis. - Yanjun Shu; Yanhui Tong; Chaogang Yu (J. Frankl. Inst., 2020)

An Analysis and Validation Toolkit to Support the Undergraduate Course of Computer Organization and Architecture. - Yanjun Shu; Zhuangyu Ma; Hongwei Liu 002; Zhan Zhang 002; Dongxin Wen; Bing Xu; Danyan Luo; Decheng Zuo (ICPCSEE (2), 2021)

Robust Neural Tracking Controller Design for a Class of Discrete-Time Nonlinear Systems Under Arbitrary Switching. - Yanjun Shu; Yanhui Tong (IEEE Access, 2021)

Adaptive neural tracking control of stochastic nonaffine nonlinear switched systems with unknown backlash-like hysteresis. - Yanjun Shu; Yanhui Tong; Zhaomin Lv (Int. J. Control, 2021)

A General KPI Anomaly Detection Using Attention Models. - Yanjun Shu; Tianrun Gao; Zhan Zhang; Jianhang Zhang (SCC, 2022)

Dynamic Adaptive Checkpoint Mechanism for Streaming Applications Based on Reinforcement Learning. - Zhan Zhang; Tianming Liu 003; Yanjun Shu; Siyuan Chen; Xian Liu (ICPADS, 2022)

Interval-Valued Skyline Web Service Selection on Incomplete QoS. - Yanjun Shu; Jianhang Zhang; Decheng Zuo; Quan Z. Sheng (ICWS, 2022)

Toward optimal operator parallelism for stream processing topology with limited buffers. - Wenhao Li; Zhan Zhang 002; Yanjun Shu; Hongwei Liu 002; Tianming Liu 003 (J. Supercomput., 2022)

Enhancing Code Language Models for Program Repair by Curricular Fine-tuning Framework. - Sichong Hao; Xianjun Shi; Hongwei Liu; Yanjun Shu (ICSME, 2023)

QoS Prediction via Multi-scale Feature Fusion Based on Convolutional Neural Network. - Hanzhi Xu; Yanjun Shu; Zhan Zhang; Decheng Zuo (ICSOC (1), 2023)

IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS. - Yanjun Shu; Jianhang Zhang; Wei Emma Zhang; Decheng Zuo; Quan Z. Sheng (IEEE Trans. Serv. Comput., 2023)

A partial order framework for incomplete data clustering. - Hamdi Yahyaoui; Hosam M. F. AboElFotoh; Yanjun Shu (Appl. Intell., 2023)

A multilevel adaptive reduction technique for time series. - Hamdi Yahyaoui; Hosam M. F. AboElFotoh; Yanjun Shu (Neurocomputing, 2023)

ITRMD: A Dimensionality Reduction Framework for Accurate and Efficient Multivariate KPI Anomaly Detection. - Tianrun Gao; Decheng Zuo; Yanjun Shu; Zhan Zhang; Dongxin Wen; Yutong Qu (ADMA (4), 2024)

Efficient Clustered Federated Learning by Locality Sensitive Hashing. - Lishan Yang; Alireza Seyed Shakeri; Liangxi Pu; Weitong Chen; Yanjun Shu (ADMA (2), 2024)

Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. - Ali Shakeri 003; Perry Chen; Yanjun Shu; Lishan Yang; Wei Emma Zhang; Weitong Chen 001 (ICWS, 2024)

BLF-based neural dynamic surface control for stochastic nonlinear systems with time delays and full-state constraints. - Yanjun Shu (Int. J. Control, 2024)

Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model. - Qihang Wang; Decheng Zuo; Zhan Zhang 006; Yanjun Shu; Xin Liu; Mingxuan He (Proc. ACM Manag. Data, 2024)

A new minimalist time series reduction technique. - Hamdi Yahyaoui; Hosam M. F. AboElFotoh; Yanjun Shu; Tianrun Gao (Neurocomputing, 2025)