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ORCIDTao Chen 0001
Person information
- affiliation: Loughborough University, Department of Computer Science, Leicestershire, UK
- affiliation: Nottingham Trent University, Department of Computing and Technology, Nottingham, UK
- affiliation (PhD 2016): University of Birmingham, School of Computer Science, Birmingham, UK
Other persons with the same name
- Tao Chen — disambiguation page
- Tao Chen 0002
![[0000-0001-6447-6153]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6447-6153")
— Harbin Engineering University, College of Information and Communication Engineering, China - Tao Chen 0003 — Fudan University, School of Information Science and Technology, Shanghai, China (and 2 more)
- Tao Chen 0004 — Southern University of Science and Technology, Department of Earth and Space Sciences, Shenzhen, China (and 3 more)
- Tao Chen 0005 — Beijing Institute of Radiation Medicine, Beijing Proteome Research Center, China
- Tao Chen 0006 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Tao Chen 0007 — Beijing Institute of Remote Sensing Equipment, China
- Tao Chen 0008 — Google AI, Mountain View, CA, USA (and 2 more)
- Tao Chen 0009 — University of Surrey, Department of Chemical and Process Engineering, Guildford, UK (and 1 more)
- Tao Chen 0010 — Soochow University, Jiangsu Provincial Key Laboratory of Advanced Robotics, School of Mechanical and Electric Engineering, Suzhou, China
- Tao Chen 0011 — VTT Technical Research Centre of Finland Ltd., Espoo, Finland (and 1 more)
- Tao Chen 0012 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Tao Chen 0013 — National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China (and 1 more)
- Tao Chen 0014 — Harbin Engineering University, College of Automation, Harbin, China
- Tao Chen 0015 — Columbia University, New York, NY, USA (and 1 more)
- Tao Chen 0016 — Southeast University, School of Electrical Engineering, Nanjing, China (and 3 more)
- Tao Chen 0017 — Hefei University of Technology, School of Computer and Information, Hefei, China
- Tao Chen 0018 — University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK
- Tao Chen 0019 — Fudan University, School of Computer Science, Shanghai Key Laboratory of Data Science, Shanghai, China
- Tao Chen 0020 — Nanyang Technological University, Business School, Singapore
- Tao Chen 0021 — Chinese Academy of Sciences, Shanghai Institute of Technical Physics, Key Laboratory of Space Active Opto-Electronics Technology, Shanghai, China (and 2 more)
- Tao Chen 0022 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Research Center for Biomedical Optics and Molecular Imaging, Shenzhen, China
- Tao Chen 0023 — China University of Petroleum, School of Computer Science and Technology, Qingdao, China
- Tao Chen 0024 — Southwest Jiaotong University, Engineering Research Center of Advanced Driving Energy-saving Technology, Chengdu, China
- Tao Chen 0025 — South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- Tao Chen 0026 — Wuyi University, Faculty of Intelligent Manufacturing, Jiangmen, China (and 2 more)
- Tao Chen 0027 — Shanghai University of Engineering Science, School of Air Transportation, Shanghai, China
- Tao Chen 0028 — Lanzhou Jiaotong University, School of Automation and Electrical Engineering, Lanzhou, China
- Tao Chen 0029 — Chinese Academy of Sciences, Ningbo Institute of Materials Technology and Engineering, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo, China
- Tao Chen 0030 — University of Waterloo, Big Data Research Lab, Waterloo, Canada (and 1 more)
- Tao Chen 0031 — Communication University of China, School of Sciences, Department of Applied Mathematics, Beijing, China
- Tao Chen 0032 — Sun Yat-Sen University, School of Geography and Planning, Department of Physical Geography, Resources and Environment, Guangzhou, China
- Tao Chen 0033 — City University of Hong Kong,Department of Computer Science, Hong Kong
- Tao Chen 0034 — University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA
- Tao Chen 0035 — China West Normal University, School of Computer Science, Nanchong, China
- Tao Chen 0036 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China (and 1 more)
- Tao Chen 0037 — MediaTek Inc., Beijing, China (and 1 more)
- Tao Chen 0038 — Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China (and 1 more)
- Tao Chen 0039 — Lingnan Normal University, College of Mechanical and Electrical Engineering, Zhanjiang, China (and 1 more)
- Tao Chen 0040 — Central South University, College of Mechanical and Electrical Engineering, Changsha, China
- Tao Chen 0041 — Southern Medical University, Nanfang Hospital, Department of General Surgery, Guangzhou, China
- Tao Chen 0042 — University of Michigan, Department of Mathematics, Ann Arbor, MI, USA (and 1 more)
- Tao Chen 0043 — Oklahoma State University, Computer Science Department, Stillwater, OK, USA
- Tao Chen 0044 — Dolby Laboratories, Inc., Sunnyvale, CA, USA (and 4 more)
- Tao Chen 0045 — Cornell University, Ithaca, NY, USA
- Tao Chen 0046 — Massachusetts Institute of Technology, CSAIL, Cambridge , MA, USA (and 1 more)
- Tao Chen 0047 — PLA Information Engineering University (Zhengzhou Institute of Information Science and Technology), Department of Microelectronics, Zhengzhou, China
- Tao Chen 0048 — Nanjing Audit University, China (and 1 more)
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2020 – today
- 2025
[j18]Jingzhi Gong, Tao Chen, Rami Bahsoon:
Dividable Configuration Performance Learning. IEEE Trans. Software Eng. 51(1): 106-134 (2025)- [i32]Yulong Ye, Tao Chen, Miqing Li:
Distilled Lifelong Self-Adaptation for Configurable Systems. CoRR abs/2501.00840 (2025) - [i31]Pengzhou Chen, Jingzhi Gong, Tao Chen:
Accuracy Can Lie: On the Impact of Surrogate Model in Configuration Tuning. CoRR abs/2501.01876 (2025) - 2024
- [j17]Jingzhi Gong, Tao Chen:
Predicting Configuration Performance in Multiple Environments with Sequential Meta-Learning. Proc. ACM Softw. Eng. 1(FSE): 359-382 (2024) - [j16]Tao Chen, Miqing Li:
Adapting Multi-objectivized Software Configuration Tuning. Proc. ACM Softw. Eng. 1(FSE): 539-561 (2024) - [j15]Pengzhou Chen, Tao Chen, Miqing Li:
MMO: Meta Multi-Objectivization for Software Configuration Tuning. IEEE Trans. Software Eng. 50(6): 1478-1504 (2024) - [c27]Chengwen Du, Tao Chen:
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems. ESEM 2024: 107-118 - [c26]Miqing Li, Tao Chen:
Methodology and Guidelines for Evaluating Multi-objective Search-Based Software Engineering. SIGSOFT FSE Companion 2024: 707-709 - [i30]Jingzhi Gong, Tao Chen:
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning. CoRR abs/2402.03183 (2024) - [i29]Jingzhi Gong, Tao Chen:
Deep Configuration Performance Learning: A Systematic Survey and Taxonomy. CoRR abs/2403.03322 (2024) - [i28]Tao Chen, Miqing Li:
Adapting Multi-objectivized Software Configuration Tuning. CoRR abs/2404.04744 (2024) - [i27]Jingzhi Gong, Tao Chen, Rami Bahsoon:
Dividable Configuration Performance Learning. CoRR abs/2409.07629 (2024) - 2023
- [j14]Tao Chen, Miqing Li:
The Weights Can Be Harmful: Pareto Search versus Weighted Search in Multi-objective Search-based Software Engineering. ACM Trans. Softw. Eng. Methodol. 32(1): 5:1-5:40 (2023) - [j13]Tao Chen, Miqing Li:
Do Performance Aspirations Matter for Guiding Software Configuration Tuning? An Empirical Investigation under Dual Performance Objectives. ACM Trans. Softw. Eng. Methodol. 32(3): 68:1-68:41 (2023) - [j12]Satish Kumar, Tao Chen, Rami Bahsoon, Rajkumar Buyya:
DebtCom: Technical Debt-Aware Service Recomposition in SaaS Cloud. IEEE Trans. Serv. Comput. 16(4): 2545-2558 (2023) - [c25]Miqing Li, Tao Chen:
Methodology and Guidelines for Evaluating Multi-Objective Search-Based Software Engineering. ICSE Companion 2023: 338-339 - [c24]Jingzhi Gong, Tao Chen:
Predicting Software Performance with Divide-and-Learn. ESEC/SIGSOFT FSE 2023: 858-870 - [i26]Tao Chen, Miqing Li:
Do Performance Aspirations Matter for Guiding Software Configuration Tuning? CoRR abs/2301.03290 (2023) - [i25]Jingzhi Gong, Tao Chen:
Predicting Software Performance with Divide-and-Learn. CoRR abs/2306.06651 (2023) - 2022
- [j11]Miqing Li, Tao Chen, Xin Yao:
How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance. IEEE Trans. Software Eng. 48(5): 1771-1799 (2022) - [c23]Guoming Long, Tao Chen, Georgina Cosma:
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. APSEC 2022: 289-298 - [c22]Guoming Long, Tao Chen:
On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub. EASE 2022: 90-99 - [c21]Jingzhi Gong, Tao Chen:
Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes. MSR 2022: 482-494 - [c20]Tao Chen:
Planning Landscape Analysis for Self-Adaptive Systems. SEAMS 2022: 84-90 - [c19]Tao Chen:
Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction? SANER 2022: 78-89 - [i24]Ke Li, Peili Mao, Tao Chen:
LONViZ: Unboxing the black-box of Configurable Software Systems from a Complex Networks Perspective. CoRR abs/2201.01429 (2022) - [i23]Tao Chen:
Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction? CoRR abs/2201.07096 (2022) - [i22]Tao Chen, Miqing Li:
The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering. CoRR abs/2202.03728 (2022) - [i21]Tao Chen:
Planning Landscape Analysis for Self-Adaptive Systems. CoRR abs/2203.12472 (2022) - [i20]Jingzhi Gong, Tao Chen:
Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes. CoRR abs/2203.15988 (2022) - [i19]Guoming Long, Tao Chen:
On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub. CoRR abs/2204.07893 (2022) - [i18]Guoming Long, Tao Chen, Georgina Cosma:
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. CoRR abs/2210.01855 (2022) - 2021
- [c18]Tao Chen, Miqing Li:
Multi-objectivizing software configuration tuning. ESEC/SIGSOFT FSE 2021: 453-465 - [i17]Tao Chen, Miqing Li:
Multi-Objectivizing Software Configuration Tuning (for a single performance concern). CoRR abs/2106.01331 (2021) - [i16]Tao Chen, Miqing Li:
MMO: Meta Multi-Objectivization for Software Configuration Tuning. CoRR abs/2112.07303 (2021) - 2020
- [j10]Dalia Sobhy, Leandro L. Minku, Rami Bahsoon, Tao Chen, Rick Kazman:
Run-time evaluation of architectures: A case study of diversification in IoT. J. Syst. Softw. 159 (2020) - [j9]Tao Chen, Rami Bahsoon, Xin Yao:
Synergizing Domain Expertise With Self-Awareness in Software Systems: A Patternized Architecture Guideline. Proc. IEEE 108(7): 1094-1126 (2020) - [c17]Satish Kumar, Tao Chen, Rami Bahsoon, Rajkumar Buyya:
DATESSO: self-adapting service composition with debt-aware two levels constraint reasoning. SEAMS@ICSE 2020: 96-107 - [c16]Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. ICSE 2020: 566-577 - [c15]Muyang Liu, Ke Li, Tao Chen:
DeepSQLi: deep semantic learning for testing SQL injection. ISSTA 2020: 286-297 - [c14]Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan:
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. ASE 2020: 573-584 - [i15]Tao Chen, Rami Bahsoon, Xin Yao:
Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline. CoRR abs/2001.07076 (2020) - [i14]Tao Chen, Miqing Li, Ke Li, Kalyanmoy Deb:
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities. CoRR abs/2001.08236 (2020) - [i13]Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan:
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. CoRR abs/2002.03148 (2020) - [i12]Tao Chen, Miqing Li, Xin Yao:
How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance. CoRR abs/2002.09040 (2020) - [i11]Satish Kumar, Tao Chen, Rami Bahsoon, Rajkumar Buyya:
DATESSO: Self-Adapting Service Composition with Debt-Aware Two Levels Constraint Reasoning. CoRR abs/2003.14377 (2020) - [i10]Muyang Liu, Ke Li, Tao Chen:
DeepSQLi: Deep Semantic Learning for Testing SQL Injection. CoRR abs/2005.11728 (2020) - [i9]Ke Li, Zilin Xiang, Tao Chen, Kay Chen Tan:
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. CoRR abs/2008.13489 (2020)
2010 – 2019
- 2019
- [j8]Tao Chen, Miqing Li, Xin Yao:
Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition. Inf. Softw. Technol. 114: 155-175 (2019) - [c13]Muyang Liu, Ke Li, Tao Chen:
Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. GECCO (Companion) 2019: 417-418 - [c12]Tao Chen:
All versus one: an empirical comparison on retrained and incremental machine learning for modeling performance of adaptable software. SEAMS@ICSE 2019: 157-168 - [c11]Satish Kumar, Rami Bahsoon, Tao Chen, Rajkumar Buyya:
Identifying and Estimating Technical Debt for Service Composition in SaaS Cloud. ICWS 2019: 121-125 - [c10]Taiyang Guo, Rami Bahsoon, Tao Chen, Abdessalam Elhabbash, Faiza Samreen, Yehia Elkhatib:
Cloud Instance Selection Using Parallel K-Means and AHP. UCC Companion 2019: 71-76 - [i8]Tao Chen:
On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison. CoRR abs/1903.10614 (2019) - 2018
- [j7]Tao Chen, Rami Bahsoon, Xin Yao:
A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems. ACM Comput. Surv. 51(3): 61:1-61:40 (2018) - [j6]Tao Chen, Ke Li, Rami Bahsoon, Xin Yao:
FEMOSAA: Feature-Guided and Knee-Driven Multi-Objective Optimization for Self-Adaptive Software. ACM Trans. Softw. Eng. Methodol. 27(2): 5:1-5:50 (2018) - [c9]Tao Chen, Miqing Li, Xin Yao:
On the effects of seeding strategies: a case for search-based multi-objective service composition. GECCO 2018: 1419-1426 - [c8]Satish Kumar, Rami Bahsoon, Tao Chen, Ke Li, Rajkumar Buyya:
Multi-Tenant Cloud Service Composition Using Evolutionary Optimization. ICPADS 2018: 972-979 - [c7]Miqing Li, Tao Chen, Xin Yao:
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. ICSE (NIER) 2018: 17-20 - [c6]Tao Chen, Rami Bahsoon, Shuo Wang, Xin Yao:
To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. ICPE 2018: 48-55 - 2017
- [j5]Tao Chen, Rami Bahsoon:
Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services. IEEE Trans. Serv. Comput. 10(4): 618-632 (2017) - [j4]Tao Chen, Rami Bahsoon:
Self-Adaptive and Online QoS Modeling for Cloud-Based Software Services. IEEE Trans. Software Eng. 43(5): 453-475 (2017) - 2016
- [b1]Tao Chen:
Self-aware and self-adaptive autoscaling for cloud based services. University of Birmingham, UK, 2016 - [p1]Tao Chen, Funmilade Faniyi, Rami Bahsoon:
Design Patterns and Primitives: Introduction of Components and Patterns for SACS. Self-aware Computing Systems 2016: 53-78 - [i7]Tao Chen:
Self-Aware and Self-Adaptive Autoscaling for Cloud Based Services. CoRR abs/1608.04030 (2016) - [i6]Tao Chen, Rami Bahsoon:
Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services. CoRR abs/1608.05917 (2016) - [i5]Tao Chen, Rami Bahsoon:
Bridging Ecology and Cloud: Transposing Ecological Prespective to Enable Better Cloud Autoscaling. CoRR abs/1608.05926 (2016) - [i4]Tao Chen, Ke Li, Rami Bahsoon, Xin Yao:
FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime. CoRR abs/1608.08933 (2016) - [i3]Tao Chen, Rami Bahsoon:
Survey and Taxonomy of Self-Aware and Self-Adaptive Autoscaling Systems in the Cloud. CoRR abs/1609.03590 (2016) - 2015
- [j3]Peter R. Lewis, Arjun Chandra, Funmilade Faniyi, Kyrre Glette, Tao Chen, Rami Bahsoon, Jim Tørresen, Xin Yao:
Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering. Computer 48(8): 62-70 (2015) - [j2]Tao Chen, Rami Bahsoon:
Toward a Smarter Cloud: Self-Aware Autoscaling of Cloud Configurations and Resources. Computer 48(9): 93-96 (2015) - [i2]Tao Chen, Rami Bahsoon, Xin Yao:
Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-Learners Approach. CoRR abs/1504.03961 (2015) - 2014
- [j1]Tao Chen, Rami Bahsoon, Abdel-Rahman H. Tawil:
Scalable service-oriented replication with flexible consistency guarantee in the cloud. Inf. Sci. 264: 349-370 (2014) - [c5]Tao Chen, Rami Bahsoon:
Symbiotic and sensitivity-aware architecture for globally-optimal benefit in self-adaptive cloud. SEAMS 2014: 85-94 - [c4]Tao Chen, Rami Bahsoon, Xin Yao:
Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-learners Approach. UCC 2014: 327-336 - [i1]Tao Chen, Funmilade Faniyi, Rami Bahsoon, Peter R. Lewis, Xin Yao, Leandro L. Minku, Lukas Esterle:
The Handbook of Engineering Self-Aware and Self-Expressive Systems. CoRR abs/1409.1793 (2014) - 2013
- [c3]Tao Chen, Rami Bahsoon, Georgios Theodoropoulos:
Dynamic QoS Optimization Architecture for Cloud-Based DDDAS. ICCS 2013: 1881-1890 - [c2]Tao Chen, Rami Bahsoon:
Self-adaptive and sensitivity-aware QoS modeling for the cloud. SEAMS 2013: 43-52 - 2011
- [c1]Tao Chen, Rami Bahsoon:
Scalable Service Oriented Replication in the Cloud. IEEE CLOUD 2011: 766-767
Coauthor Index
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