A service-oriented methodology supporting automatic synthesis and verification of component behavior model. - Pengcheng Zhang 001; Yu Zhou 010; Bixin Li (SNPD (1), 2007)

Extending PSC for Monitoring the Timed Properties in Composite Services. - Pengcheng Zhang 001; Bixin Li; Zhiyong Su; Mingjie Sun (APSEC, 2008)

An Approach to Monitor Scenario-Based Temporal Properties in Web Service Compositions. - Pengcheng Zhang 001; Bixin Li; Henry Muccini; Mingjie Sun (APWeb Workshops, 2008)

A PSC-Based Approach to Monitor the Timed Properties in Web Service Compositions. - Pengcheng Zhang 001; Bixin Li; Mingjie Sun; Xufang Gong (COMPSAC, 2008)

A Timed Extension of Property Sequence Chart. - Pengcheng Zhang 001; Bixin Li; Mingjie Sun (HASE, 2008)

Data-Enriched Modeling and Verification of WS-CDL Based on UML Models. - Pengcheng Zhang 001; Bixin Li; Henry Muccini; Yu Zhou 010; Mingjie Sun (ICWS, 2008)

Monitoring BPEL-Based Web Service Composition Using AOP. - Mingjie Sun; Bixin Li; Pengcheng Zhang 001 (ACIS-ICIS, 2009)

A Formal Syntax for Probabilistic Timed Property Sequence Charts. - Pengcheng Zhang 001; Lars Grunske; Antony Tang; Bixin Li (ASE, 2009)

Monitoring probabilistic properties. - Lars Grunske; Pengcheng Zhang 001 (ESEC/SIGSOFT FSE, 2009)

WS-PSC Monitor: A Tool Chain for Monitoring Temporal and Timing Properties in Composite Service Based on Property Sequence Chart. - Pengcheng Zhang 001; Zhiyong Su; Yuelong Zhu; Wenrui Li 002; Bixin Li (RV, 2010)

Model and Verification of WS-CDL Based on UML Diagrams. - Pengcheng Zhang 001; Henry Muccini; Yuelong Zhu; Bixin Li (Int. J. Softw. Eng. Knowl. Eng., 2010)

Timed Property Sequence Chart. - Pengcheng Zhang 001; Bixin Li; Lars Grunske (J. Syst. Softw., 2010)

A classification and comparison of model checking software architecture techniques. - Pengcheng Zhang 001; Henry Muccini; Bixin Li (J. Syst. Softw., 2010)

Run-time systems failure prediction via proactive monitoring. - Pengcheng Zhang 001; Henry Muccini; Andrea Polini; Xuandong Li (ASE, 2011)

Monitoring of Probabilistic Timed Property Sequence Charts. - Pengcheng Zhang 001; Wenrui Li 002; Dingsheng Wan; Lars Grunske (Softw. Pract. Exp., 2011)

Predicting Failures in Dynamic Composite Services with Proactive Monitoring Technique. - Yuelong Zhu; Xiaobin Wu; Pengcheng Zhang 001; Hareton Leung; Wenrui Li 002 (SERVICES, 2012)

Comparing and Improving the Synthesis of State-Based Specifications from Scenario-Based Specifications. - Zhijian Wang 002; Wenrui Li 002; Pengcheng Zhang 001 (Int. J. Softw. Eng. Knowl. Eng., 2012)

Sky-MCSP-R: An Efficient Graph-Based Web Service Composition Approach. - Pengjiao Sun; Pengcheng Zhang 001; Wenrui Li 002; Xuejun Guo; Jun Feng 001 (APSEC (1), 2013)

Game-Based Monitors for Scenario-Based Specification. - Pengcheng Zhang 001; Jun Yu; Wenrui Li 002; Hareton Leung (ICECCS, 2013)

Bayesian Probabilistic Monitor: A New and Efficient Probabilistic Monitoring Approach Based on Bayesian Statistics. - Yuelong Zhu; Meijun Xu; Pengcheng Zhang 001; Wenrui Li 002; Hareton Leung (QSIC, 2013)

Web services property sequence chart monitor: a tool chain for monitoring BPEL-based web service composition with scenario-based specifications. - Pengcheng Zhang 001; Hareton Leung; Wenrui Li 002; Xuandong Li (IET Softw., 2013)

Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure. - Dingsheng Wan; Yan Xiao 002; Pengcheng Zhang 001; Jun Feng 001; Yuelong Zhu; Qian Liu (BigData Congress, 2014)

Hierarchical timed automata based verification of dynamic evolution process in open environments. - Yu Zhou 010; Jidong Ge; Pengcheng Zhang 001 (ICSSP, 2014)

Multi-measure Similarity Searching for Time Series. - Jimin Wang; Yuelong Zhu; Dingsheng Wan; Pengcheng Zhang 001; Jun Feng 001 (J. Comput., 2014)

Hydrological Big Data Prediction Based on Similarity Search and Improved BP Neural Network. - Dingsheng Wan; Yan Xiao 002; Pengcheng Zhang 001; Hareton Leung (BigData Congress, 2015)

Heuristic Recovery of Missing Events in Process Logs. - Wei Song 003; Xiaoxu Xia; Hans-Arno Jacobsen; Pengcheng Zhang 001; Hao Hu 001 (ICWS, 2015)

A Novel QoS Monitoring Approach Sensitive to Environmental Factors. - Pengcheng Zhang 001; Yuan Zhuang; Hareton Leung; Wei Song 003; Yu Zhou 010 (ICWS, 2015)

Test Case Selection for Data Flow Based Regression Testing of BPEL Composite Services. - Shunhui Ji; Bixin Li; Pengcheng Zhang 001 (SCC, 2016)

A Combinational QoS-Prediction Approach Based on RBF Neural Network. - Pengcheng Zhang 001; Yingtao Sun; Wenrui Li 002; Wei Song 003; Hareton Leung (SCC, 2016)

Effa: a proM plugin for recovering event logs. - Xiaoxu Xia; Wei Song 003; Fangfei Chen; Xuansong Li; Pengcheng Zhang 001 (Internetware, 2016)

A Novel QoS Prediction Approach for Cloud Service Based on Bayesian Networks Model. - Pengcheng Zhang 001; Qing Han; Wenrui Li 002; Hareton Leung; Wei Song 003 (IEEE MS, 2016)

Model based verification of dynamically evolvable service oriented systems. - Yu Zhou 010; Jidong Ge; Pengcheng Zhang 001; Weigang Wu (Sci. China Inf. Sci., 2016)

An Automatic Recovery Mechanism for Cloud Service Composition. - Wenrui Li 002; Yan Cheng; Pengcheng Zhang 001; Hareton Leung (Int. J. Web Serv. Res., 2016)

A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series. - Pengcheng Zhang 001; Yan Xiao 002; Yuelong Zhu; Jun Feng 001; Dingsheng Wan; Wenrui Li 002; Hareton Leung (Int. J. Web Serv. Res., 2016)

AHWCI: A Prototype Tool for Identifying High-Level Workflow Changes. - Fangfei Chen; Wei Song 003; Chengzhen Zhang; Xuansong Li; Pengcheng Zhang 001 (APSEC Workshops, 2017)

A Deep-Learning Based Precipitation Forecasting Approach Using Multiple Environmental Factors. - Pengcheng Zhang 001; Lei Zhang; Hareton Leung; Jimin Wang (BigData Congress, 2017)

On Building a Big Data Analysis System for California Drought. - Pengcheng Zhang 001; Jerry Gao 002; A. G. Thomas; K. P. Alagupackiam; K. Mannava; P. I. Bosco; Sen Chiao (BigDataService, 2017)

A Survey on Quality Assurance Techniques for Big Data Applications. - Pengcheng Zhang 001; Xuewu Zhou; Wenrui Li 002; Jerry Gao 002 (BigDataService, 2017)

A Web Service QoS Forecasting Approach Based on Multivariate Time Series. - Pengcheng Zhang 001; Liyan Wang; Wenrui Li 002; Hareton Leung; Wei Song 003 (ICWS, 2017)

Data quality in big data processing: Issues, solutions and open problems. - Pengcheng Zhang 001; Fang Xiong; Jerry Gao 002; Jimin Wang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

RBF-MLMR: A Multi-Label Metamorphic Relation Prediction Approach Using RBF Neural Network. - Pengcheng Zhang 001; Xuewu Zhou; Patrizio Pelliccione; Hareton Leung (IEEE Access, 2017)

Efficient Alignment Between Event Logs and Process Models. - Wei Song 003; Xiaoxu Xia; Hans-Arno Jacobsen; Pengcheng Zhang 001; Hao Hu 001 (IEEE Trans. Serv. Comput., 2017)

Time Series Similarity Search Based on Positive and Negative Query. - Jimin Wang; Qi Liu; Pengcheng Zhang 001 (BigData Congress, 2018)

A Novel QoS Prediction Approach for Cloud Services Using Bayesian Network Model. - Wenrui Li 002; Pengcheng Zhang 001; Hareton Leung; Shunhui Ji (IEEE Access, 2018)

A deep belief network based precipitation forecast approach using multiple environmental factors. - Pengcheng Zhang 001; Yangyang Jia; Lei Zhang; Jerry Gao 002; Hareton Leung (Intell. Data Anal., 2018)

SmartClean: Smart City Street Cleanliness System Using Multi-Level Assessment Model - Research Notes. - Wenrui Li 002; Bharat Bhushan; Jerry Gao 002; Pengcheng Zhang 001 (Int. J. Softw. Eng. Knowl. Eng., 2018)

Android-SRV: Scenario-Based Runtime Verification of Android Applications. - Pengcheng Zhang 001; Kun Cheng; Jerry Gao 002 (Int. J. Softw. Eng. Knowl. Eng., 2018)

Weighted Bayesian Runtime Monitor: A Novel QoS Monitoring Approach Sensitive to Environmental Factors. - Pengcheng Zhang 001; Huiying Jin; Yuan Zhuang; Hareton Leung; Wei Song 003; Yu Zhou 010 (Int. J. Softw. Eng. Knowl. Eng., 2018)

IgS-wBSRM: A time-aware Web Service QoS monitoring approach in dynamic environments. - Pengcheng Zhang 001; Huiying Jin; Zhipeng He 004; Hareton Leung; Wei Song 003; Yan Jiang (Inf. Softw. Technol., 2018)

Automatic generation of predictive monitors from scenario-based specifications. - Pengcheng Zhang 001; Patrizio Pelliccione; Hareton Leung; Xuandong Li (Inf. Softw. Technol., 2018)

Neural Network Based Test Case Generation for Data-Flow Oriented Testing. - Shunhui Ji; Qin Chen; Pengcheng Zhang 001 (AITest, 2019)

Condition-Guided Adversarial Generative Testing for Deep Learning Systems. - Pengcheng Zhang 001; Qiyin Dai; Shunhui Ji (AITest, 2019)

Test Case Selection for All-Uses Criterion-Based Regression Testing of Composite Service. - Shunhui Ji; Bixin Li; Pengcheng Zhang 001 (IEEE Access, 2019)

Urban Street Cleanliness Assessment Using Mobile Edge Computing and Deep Learning. - Pengcheng Zhang 001; Qi Zhao; Jerry Gao 002; Wenrui Li 002; Jiamin Lu (IEEE Access, 2019)

CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems. - Pengcheng Zhang 001; Qiyin Dai; Patrizio Pelliccione (CoRR, 2019)

SolidityCheck : Quickly Detecting Smart Contract Problems Through Regular Expressions. - Pengcheng Zhang 001; Feng Xiao; Xiapu Luo (CoRR, 2019)

Source Code Obfuscation for Smart Contracts. - Meng Zhang; Pengcheng Zhang 001; Xiapu Luo; Feng Xiao (APSEC, 2020)

ADF-GA: Data Flow Criterion Based Test Case Generation for Ethereum Smart Contracts. - Pengcheng Zhang 001; Jianan Yu; Shunhui Ji (ICSE (Workshops), 2020)

A Framework and DataSet for Bugs in Ethereum Smart Contracts. - Pengcheng Zhang 001; Feng Xiao; Xiapu Luo (ICSME, 2020)

Security-Aware QoS Forecasting in Mobile Edge Computing based on Federated Learning. - Huiying Jin; Pengcheng Zhang 001; Hai Dong (ICWS, 2020)

Multivariate QoS Monitoring in Mobile Edge Computing based on Bayesian Classifier and Rough Set. - Pengcheng Zhang 001; Yaling Zhang; Hai Dong; Huiying Jin (ICWS, 2020)

Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review. - Pengcheng Zhang 001; Wennan Cao; Henry Muccini (CoRR, 2020)

Interpretable spatio-temporal attention LSTM model for flood forecasting. - Yukai Ding; Yuelong Zhu; Jun Feng 001; Pengcheng Zhang 001; Zirun Cheng (Neurocomputing, 2020)

Short-Term Rainfall Forecasting Using Multi-Layer Perceptron. - Pengcheng Zhang 001; Yangyang Jia; Jerry Gao 002; Wei Song 003; Hareton Leung (IEEE Trans. Big Data, 2020)

Evolutionary Generation of Test Case for Deep Neural Network Based on Coverage Guidance. - Liming Hu; Shunhui Ji; Qiyin Dai; Pengcheng Zhang 001 (AITest, 2021)

Heuristic-word-selection Genetic Algorithm for Generating Natural Language Adversarial Examples. - Shijun Ye; Pengcheng Zhang 001; Hai Dong; Shunhui Ji (AITest, 2021)

Smart Contract Vulnerability Detection Using Code Representation Fusion. - Ben Wang; Hanting Chu; Pengcheng Zhang 001; Hai Dong (APSEC, 2021)

Verifiable Model Construction for Business Processes. - Shunhui Ji; Liming Hu; Yihan Cao; Pengcheng Zhang 001; Jerry Gao 002 (Int. J. Softw. Eng. Knowl. Eng., 2021)

Surface and high-altitude combined rainfall forecasting using convolutional neural network. - Pengcheng Zhang 001; Wennan Cao; Wenrui Li 002 (Peer-to-Peer Netw. Appl., 2021)

Mobility and Dependence-Aware QoS Monitoring in Mobile Edge Computing. - Pengcheng Zhang 001; Yaling Zhang; Hai Dong; Huiying Jin (IEEE Trans. Cloud Comput., 2021)

RSDF-AM-LSTM: Regional Scale Division Rainfall Forecasting Using Attention and LSTM. - Wenrui Li 002; Pengcheng Zhang 001; Hai Dong; Yangyang Jia; Wennan Cao (Trans. Data Sci., 2021)

FunkR-pDAE: Personalized Project Recommendation Using Deep Learning. - Pengcheng Zhang 001; Fang Xiong; Hareton Leung; Wei Song 003 (IEEE Trans. Emerg. Top. Comput., 2021)

Self-Healing Event Logs. - Wei Song 003; Hans-Arno Jacobsen; Pengcheng Zhang 001 (IEEE Trans. Knowl. Data Eng., 2021)

LA-LMRBF: Online and Long-Term Web Service QoS Forecasting. - Pengcheng Zhang 001; Huiying Jin; Hai Dong; Wei Song 003; Liyan Wang (IEEE Trans. Serv. Comput., 2021)

Data Flow Reduction Based Test Case Generation for Smart Contracts. - Shunhui Ji; Shaoqing Zhu; Pengcheng Zhang 001; Hai Dong (APSEC, 2022)

Bytecode Obfuscation for Smart Contracts. - Qifan Yu; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Shunhui Ji (APSEC, 2022)

Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing. - Ting Wei; Pengcheng Zhang 001; Hai Dong; Huiying Jin; Athman Bouguettaya (ICSOC, 2022)

Multi-Class Prediction of Mineral Resources Based on Deep Learning. - Liang Ding; Yuelong Zhu; Pengcheng Zhang 001; Hai Dong; Hao Chen (IEEE Access, 2022)

PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking. - Hanbo Cai; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Shunhui Ji (CoRR, 2022)

VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion. - Hanbo Cai; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Shunhui Ji (CoRR, 2022)

Discovering Structural Errors From Business Process Event Logs. - Wei Song 003; Zhen Chang; Hans-Arno Jacobsen; Pengcheng Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

M-BSRM: Multivariate BayeSian Runtime QoS Monitoring Using Point Mutual Information. - Pengcheng Zhang 001; Huiying Jin; Hai Dong; Wei Song 003 (IEEE Trans. Serv. Comput., 2022)

Privacy-Preserving QoS Forecasting in Mobile Edge Environments. - Pengcheng Zhang 001; Huiying Jin; Hai Dong; Wei Song 003; Athman Bouguettaya (IEEE Trans. Serv. Comput., 2022)

CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing for Image-Based Deep Learning Systems. - Pengcheng Zhang 001; Bin Ren; Hai Dong; Qiyin Dai (IEEE Trans. Software Eng., 2022)

Test Case Generation for Cross-Blockchain Smart Contract. - Jiahao Gong; Shunhui Ji; Pengcheng Zhang 001 (APSEC, 2023)

Discovering Structural Errors From Business Process Event Logs (Extended Abstract). - Wei Song 003; Zhen Chang; Hans-Arno Jacobsen; Pengcheng Zhang 001 (ICDE, 2023)

Ponzi Scheme Detection Based on Control Flow Graph Feature Extraction. - Shunhui Ji; Congxiong Huang; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002 (ICWS, 2023)

LEAP: Efficient and Automated Test Method for NLP Software. - Mingxuan Xiao; Yan Xiao 002; Hai Dong; Shunhui Ji; Pengcheng Zhang 001 (ASE, 2023)

Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound. - Hanbo Cai; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Stefanos Koffas; Yiming Li 004 (CoRR, 2023)

Privacy-Aware Forecasting of Quality of Service in Mobile Edge Computing. - Huiying Jin; Pengcheng Zhang 001; Hai Dong; Yuelong Zhu; Athman Bouguettaya (IEEE Trans. Serv. Comput., 2023)

Test-Case Generation for Data Flow Testing of Smart Contracts Based on Improved Genetic Algorithm. - Shunhui Ji; Shaoqing Zhu; Pengcheng Zhang 001; Hai Dong; Jianan Yu (IEEE Trans. Reliab., 2023)

A survey on smart contract vulnerabilities: Data sources, detection and repair. - Hanting Chu; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Shunhui Ji; Wenrui Li 002 (Inf. Softw. Technol., 2023)

Adversarial example-based test case generation for black-box speech recognition systems. - Hanbo Cai; Pengcheng Zhang 001; Hai Dong; Lars Grunske; Shunhui Ji; Tianhao Yuan (Softw. Test. Verification Reliab., 2023)

BiAn: Smart Contract Source Code Obfuscation. - Pengcheng Zhang 001; Qifan Yu; Yan Xiao 002; Hai Dong; Xiapu Luo; Xiao Wang; Meng Zhang (IEEE Trans. Software Eng., 2023)

Dynamic Adaptive User Allocation in Mobile Edge Computing. - Jiajia Li; Shunhui Ji; Huiying Jin; Hai Dong; Zhiyuan Ge; Pengcheng Zhang 001 (SSE, 2024)

Gradient-Guided Test Case Generation for Image Classification Software. - Shunhui Ji; Yunhe Li; Hai Dong; Mingxuan Xiao; Pengcheng Zhang 001; Mengyuan Zhang (COMPSAC, 2024)

Audio Steganography Based Backdoor Attack for Speech Recognition Software. - Mengyuan Zhang; Shunhui Ji; Hanbo Cai; Hai Dong; Pengcheng Zhang 001; Yunhe Li (COMPSAC, 2024)

Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation. - Guiyang Chan; Pengcheng Zhang 001; Hai Dong; Shunhui Ji; Bainian Chen (ICML, 2024)

QoS Optimization via Computation Offloading in Metaverse Environment. - Zhiyuan Ge; Pengcheng Zhang 001; Huiying Jin; Hai Dong; Shunhui Ji; Jiajia Li; Qi Wang (ICWS, 2024)

Resource Aware Multi-User Task Offloading In Mobile Edge Computing. - Shunhui Ji; Jiajia Li; Huiying Jin; Hai Dong; Zhiyuan Ge; Shuhan Yang; Pengcheng Zhang 001 (ICWS, 2024)

RITFIS: Robust input testing framework for LLMs-based intelligent software. - Mingxuan Xiao; Yan Xiao 002; Hai Dong; Shunhui Ji; Pengcheng Zhang 001 (CoRR, 2024)

Automated Robustness Testing for LLM-based NLP Software. - Mingxuan Xiao; Yan Xiao 002; Shunhui Ji; Hanbo Cai; Lei Xue; Pengcheng Zhang 001 (CoRR, 2024)

Data-driven and knowledge-guided denoising diffusion model for flood forecasting. - Pingping Shao; Jun Feng 001; Jiamin Lu; Pengcheng Zhang 001; Chenxin Zou (Expert Syst. Appl., 2024)

Geo-Hgan: Unsupervised anomaly detection in geochemical data via latent space learning. - Liang Ding; Bainian Chen; Yuelong Zhu; Hai Dong; Guiyang Chan; Pengcheng Zhang 001 (Comput. Geosci., 2024)

Interpretable spatial-temporal attention convolutional network for rainfall forecasting. - Pingping Shao; Jun Feng 001; Pengcheng Zhang 001; Jiamin Lu (Comput. Geosci., 2024)

Toward Stealthy Backdoor Attacks Against Speech Recognition via Elements of Sound. - Hanbo Cai; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Stefanos Koffas; Yiming Li 004 (IEEE Trans. Inf. Forensics Secur., 2024)

Swift and Accurate Mobility-Aware QoS Forecasting for Mobile Edge Environments. - Huiying Jin; Pengcheng Zhang 001; Hai Dong; Athman Bouguettaya; Albert Y. Zomaya (IEEE Trans. Serv. Comput., 2024)

Dynamic Adaptive Federated Learning on Local Long-Tailed Data. - Juncheng Pu; Xiaodong Fu; Hai Dong; Pengcheng Zhang 001; Li Liu 032 (IEEE Trans. Serv. Comput., 2024)

Dependency-Aware Task Offloading Based on Application Hit Ratio. - Junna Zhang; Xinxin Wang; Peiyan Yuan; Hai Dong; Pengcheng Zhang 001; Zahir Tari (IEEE Trans. Serv. Comput., 2024)

Mineral prediction based on prototype learning. - Liang Ding; Bainian Chen; Yuelong Zhu; Hai Dong; Pengcheng Zhang 001 (Comput. Geosci., 2024)

Mobility-Aware and Privacy-Protecting QoS Optimization in Mobile Edge Networks. - Huiying Jin; Pengcheng Zhang 001; Hai Dong; Xinmiao Wei; Yuelong Zhu; Tao Gu 001 (IEEE Trans. Mob. Comput., 2024)

Space-Time-Aware Proactive QoS Monitoring for Mobile Edge Computing. - Shunhui Ji; Jiajia Li; Huiying Jin; Ting Wei; Hai Dong; Pengcheng Zhang 001; Athman Bouguettaya (IEEE Trans. Netw. Serv. Manag., 2024)

SCAnoGenerator: Automatic Anomaly Injection for Ethereum Smart Contracts. - Pengcheng Zhang 001; Ben Wang; Xiapu Luo; Hai Dong (IEEE Trans. Software Eng., 2024)

SGDL: Smart contract vulnerability generation via deep learning. - Hanting Chu; Pengcheng Zhang 001; Hai Dong; Yan Xiao 002; Shunhui Ji (J. Softw. Evol. Process., 2024)

IABC-TCG: Improved artificial bee colony algorithm-based test case generation for smart contracts. - Shunhui Ji; Jiahao Gong; Hai Dong; Pengcheng Zhang 001; Shaoqing Zhu (J. Softw. Evol. Process., 2024)

MVGText: Momentum and Variance Guided Hard-Label Text Test Case Generation. - Shunhui Ji; Yu Shi; Changrong Huang; Letian Cheng; Pengcheng Zhang 001 (COMPSAC, 2025)

Clean-label backdoor attack based on robust feature attenuation for speech recognition. - Hanbo Cai; Pengcheng Zhang 001; Yan Xiao 002; Shunhui Ji; Mingxuan Xiao; Letian Cheng (Expert Syst. Appl., 2025)

ABFS: Natural Robustness Testing for LLM-based NLP Software. - Mingxuan Xiao; Yan Xiao 002; Shunhui Ji; Yunhe Li; Lei Xue; Pengcheng Zhang 001 (CoRR, 2025)

TAEFuzz: Automatic Fuzzing for Image-based Deep Learning Systems via Transferable Adversarial Examples. - Shunhui Ji; Changrong Huang; Bin Ren; Hai Dong; Lars Grunske; Yan Xiao 002; Pengcheng Zhang 001 (ACM Trans. Softw. Eng. Methodol., 2025)