Scalable Service Oriented Replication in the Cloud. - Tao Chen 001; Rami Bahsoon (IEEE CLOUD, 2011)

Dynamic QoS Optimization Architecture for Cloud-Based DDDAS. - Tao Chen 001; Rami Bahsoon; Georgios Theodoropoulos 001 (ICCS, 2013)

Self-adaptive and sensitivity-aware QoS modeling for the cloud. - Tao Chen 001; Rami Bahsoon (SEAMS, 2013)

Symbiotic and sensitivity-aware architecture for globally-optimal benefit in self-adaptive cloud. - Tao Chen 001; Rami Bahsoon (SEAMS, 2014)

Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach. - Tao Chen 001; Rami Bahsoon; Xin Yao 001 (UCC, 2014)

The Handbook of Engineering Self-Aware and Self-Expressive Systems. - Tao Chen 001; Funmilade Faniyi; Rami Bahsoon; Peter R. Lewis 001; Xin Yao 001; Leandro L. Minku; Lukas Esterle (CoRR, 2014)

Scalable service-oriented replication with flexible consistency guarantee in the cloud. - Tao Chen 001; Rami Bahsoon; Abdel-Rahman H. Tawil (Inf. Sci., 2014)

Toward a Smarter Cloud: Self-Aware Autoscaling of Cloud Configurations and Resources. - Tao Chen 001; Rami Bahsoon (Computer, 2015)

Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering. - Peter R. Lewis 001; Arjun Chandra; Funmilade Faniyi; Kyrre Glette; Tao Chen 001; Rami Bahsoon; Jim Tørresen; Xin Yao 001 (Computer, 2015)

Self-Aware and Self-Adaptive Autoscaling for Cloud Based Services. - Tao Chen 001 (CoRR, 2016)

Bridging Ecology and Cloud: Transposing Ecological Prespective to Enable Better Cloud Autoscaling. - Tao Chen 001; Rami Bahsoon (CoRR, 2016)

Survey and Taxonomy of Self-Aware and Self-Adaptive Autoscaling Systems in the Cloud. - Tao Chen 001; Rami Bahsoon (CoRR, 2016)

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime. - Tao Chen 001; Ke Li 001; Rami Bahsoon; Xin Yao 001 (CoRR, 2016)

Self-aware and self-adaptive autoscaling for cloud based services. - Tao Chen 001 (2016)

Design Patterns and Primitives: Introduction of Components and Patterns for SACS. - Tao Chen 001; Funmilade Faniyi; Rami Bahsoon (Self-aware Computing Systems, 2016)

Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services. - Tao Chen 001; Rami Bahsoon (IEEE Trans. Serv. Comput., 2017)

Self-Adaptive and Online QoS Modeling for Cloud-Based Software Services. - Tao Chen 001; Rami Bahsoon (IEEE Trans. Software Eng., 2017)

On the effects of seeding strategies: a case for search-based multi-objective service composition. - Tao Chen 001; Miqing Li; Xin Yao 001 (GECCO, 2018)

Multi-Tenant Cloud Service Composition Using Evolutionary Optimization. - Satish Kumar; Rami Bahsoon; Tao Chen 001; Ke Li 001; Rajkumar Buyya (ICPADS, 2018)

A critical review of: "a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": essay on quality indicator selection for SBSE. - Miqing Li; Tao Chen 001; Xin Yao 001 (ICSE (NIER), 2018)

To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. - Tao Chen 001; Rami Bahsoon; Shuo Wang 005; Xin Yao 001 (ICPE, 2018)

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems. - Tao Chen 001; Rami Bahsoon; Xin Yao 001 (ACM Comput. Surv., 2018)

FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software. - Tao Chen 001; Ke Li 001; Rami Bahsoon; Xin Yao 001 (ACM Trans. Softw. Eng. Methodol., 2018)

Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. - Muyang Liu; Ke Li 001; Tao Chen 001 (GECCO (Companion), 2019)

All versus one: an empirical comparison on retrained and incremental machine learning for modeling performance of adaptable software. - Tao Chen 001 (SEAMS@ICSE, 2019)

Identifying and Estimating Technical Debt for Service Composition in SaaS Cloud. - Satish Kumar; Rami Bahsoon; Tao Chen 001; Rajkumar Buyya (ICWS, 2019)

Cloud Instance Selection Using Parallel K-Means and AHP. - Taiyang Guo; Rami Bahsoon; Tao Chen 001; Abdessalam Elhabbash; Faiza Samreen; Yehia Elkhatib (UCC Companion, 2019)

On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison. - Tao Chen 001 (CoRR, 2019)

Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition. - Tao Chen 001; Miqing Li; Xin Yao 001 (Inf. Softw. Technol., 2019)

DATESSO: self-adapting service composition with debt-aware two levels constraint reasoning. - Satish Kumar; Tao Chen 001; Rami Bahsoon; Rajkumar Buyya (SEAMS@ICSE, 2020)

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (ICSE, 2020)

DeepSQLi: deep semantic learning for testing SQL injection. - Muyang Liu; Ke Li 001; Tao Chen 001 (ISSTA, 2020)

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. - Ke Li 001; Zilin Xiang; Tao Chen 001; Kay Chen Tan (ASE, 2020)

Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. - Tao Chen 001; Miqing Li; Ke Li 001; Kalyanmoy Deb (CoRR, 2020)

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (CoRR, 2020)

Run-time evaluation of architectures: A case study of diversification in IoT. - Dalia Sobhy; Leandro L. Minku; Rami Bahsoon; Tao Chen 001; Rick Kazman (J. Syst. Softw., 2020)

Synergizing Domain Expertise With Self-Awareness in Software Systems: A Patternized Architecture Guideline. - Tao Chen 001; Rami Bahsoon; Xin Yao 001 (Proc. IEEE, 2020)

Multi-objectivizing software configuration tuning. - Tao Chen 001; Miqing Li (ESEC/SIGSOFT FSE, 2021)

Multi-Objectivizing Software Configuration Tuning (for a single performance concern). - Tao Chen 001; Miqing Li (CoRR, 2021)

MMO: Meta Multi-Objectivization for Software Configuration Tuning. - Tao Chen 001; Miqing Li (CoRR, 2021)

Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. - Guoming Long; Tao Chen 001; Georgina Cosma (APSEC, 2022)

On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub. - Guoming Long; Tao Chen 001 (EASE, 2022)

Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes. - Jingzhi Gong; Tao Chen 001 (MSR, 2022)

Planning Landscape Analysis for Self-Adaptive Systems. - Tao Chen 001 (SEAMS, 2022)

Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction? - Tao Chen 001 (SANER, 2022)

LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective. - Ke Li 001; Peili Mao; Tao Chen 001 (CoRR, 2022)

How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance. - Miqing Li; Tao Chen 001; Xin Yao 001 (IEEE Trans. Software Eng., 2022)

Predicting Software Performance with Divide-and-Learn. - Jingzhi Gong; Tao Chen 001 (ESEC/SIGSOFT FSE, 2023)

Do Performance Aspirations Matter for Guiding Software Configuration Tuning? - Tao Chen 001; Miqing Li (CoRR, 2023)

DebtCom: Technical Debt-Aware Service Recomposition in SaaS Cloud. - Satish Kumar; Tao Chen 001; Rami Bahsoon; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2023)

The Weights Can Be Harmful: Pareto Search versus Weighted Search in Multi-objective Search-based Software Engineering. - Tao Chen 001; Miqing Li (ACM Trans. Softw. Eng. Methodol., 2023)

Do Performance Aspirations Matter for Guiding Software Configuration Tuning? An Empirical Investigation under Dual Performance Objectives. - Tao Chen 001; Miqing Li (ACM Trans. Softw. Eng. Methodol., 2023)

Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems. - Chengwen Du; Tao Chen 001 (ESEM, 2024)

Multimodal Emotion Recognition by Fusing Video Semantics in Video Learning Scenarios. - Yuan Zhang; Xiaomei Tao; Hanxu Ai; Tao Chen 001; Yanling Gan (ICONIP (4), 2024)

Methodology and Guidelines for Evaluating Multi-objective Search-Based Software Engineering. - Miqing Li; Tao Chen 001 (SIGSOFT FSE Companion, 2024)

Adapting Multi-objectivized Software Configuration Tuning. - Tao Chen 001; Miqing Li (Proc. ACM Softw. Eng., 2024)

Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning. - Jingzhi Gong; Tao Chen 001 (Proc. ACM Softw. Eng., 2024)

MMO: Meta Multi-Objectivization for Software Configuration Tuning. - Pengzhou Chen; Tao Chen 001; Miqing Li (IEEE Trans. Software Eng., 2024)

Distilled Lifelong Self-Adaptation for Configurable Systems. - Yulong Ye; Tao Chen 001; Miqing Li (ICSE, 2025)

Deep Configuration Performance Learning: A Systematic Survey and Taxonomy. - Jingzhi Gong; Tao Chen 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Dividable Configuration Performance Learning. - Jingzhi Gong; Tao Chen 001; Rami Bahsoon (IEEE Trans. Software Eng., 2025)

Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning. - Pengzhou Chen; Jingzhi Gong; Tao Chen 001 (IEEE Trans. Software Eng., 2025)