The 7th International Conference on Data-driven Optimization of Complex Systems (DOCS 2025)
about

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Paper Submission Deadline

June 22, 2025

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Notification of Acceptance

July 15, 2025

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Camera-Ready Submission

July 22, 2025  

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Early Bird Registration

July 31, 2025

·About DOCS 2025


Welcome to the official website of The 7th International Conference on Data-driven Optimization of Complex Systems (DOCS 2025).

The 7th International Conference on Data-driven Optimization of Complex Systems (DOCS 2025) warmly invite submissions from researchers, practitioners, and academics in the expansive field related to data-driven optimization of complex systems. We encourage interested authors to submit previously unpublished contributions from a broad range of including but not limited to the following.

● Data-driven Learning: Deep learning, reinforcement learning, transfer learning, self-supervised learning, distributed and federated machine learning, trustworthy machine learning, generative models, large language models (LLMs), automated verification of LLMs, coordination between small and large models, AI for science and engineering, AI for education and society, AI for art, secure AI;

● Data-driven Optimization and Decision Making: Data-driven optimization algorithms, Bayesian optimization, neural combinatorial optimization, large-scale and multi-objective optimization, integration   of machine   learning   and   optimization, data-driven   decision  paradigm,   intelligent   scheduling, reinforcement learning for combinatorial optimization, distributed and federated optimization, industrial and manufacturing system analysis, and decision-making;diffusion models for optimization, LLM-assisted optimization;

● Data-driven Modeling and Control: Learning and adaptive control, robust control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, green communication systems;

● Big Data Analysis and Application: Big data storage and mining, data coordination, integration and processing, big data analytics and metrics, theory and methods of multi-source big data fusion, data base management systems, big data service, big data-oriented cloud computing technology, privacy preserving big data analysis, visual city data analysis, intelligent transportation data analysis, healthcare data analysis, bioinformatics.


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The 6th International Conference on Data-driven 

Optimization of Complex Systems, DOCS 2024

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The 5th International Conference on Data-driven 

Optimization of Complex Systems, DOCS 2023


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The 4th International Conference on Data-driven 

Optimization of Complex Systems, DOCS 2022


Publication

· Submission & Publication

All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of DOCS 2025 will be published by conference proceedings, and it will be submitted to EI Compendex and Scopus for indexing.

The use of artificial intelligence (AI)-generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. 

Please send the full paper(word+pdf) to Submission System:

Submission (Chinese)

Submission  (English)

All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Speakers

· Committee

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Weihua Gui

Central South University

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Weiguo Liang

Taiyuan University of Science and Technology

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Lixin Tang

Northeastern University

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Yaochu Jin

Westlake University

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Gang Xie

Taiyuan University of Science and Technology

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Zhihua Cui

Taiyuan University of Science and Technology

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Jon Garibaldi

University of Nottingham Ningbo China

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Bing Xue

Victoria University of Wellington

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Chunhua Yang

Central South University 

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Mengjie Zhang

Victoria University of Wellington

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Xingyi Zhang

Anhui University

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Qiqi Liu

Westlake University

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Ying Bi

Zhengzhou University

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Weineng Chen

South China University of Technology

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Chaoli Sun

Taiyuan University of Science and Technology

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Ye Tian

Anhui University

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Jian Wang

China University of Petroleum

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Dawei Zhan

Southwest Jiaotong University

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Cheng He

Huazhong University of Science and Technology

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Lihu Pan

Taiyuan University of Science and Technology

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Handing Wang

Xidian University

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Guo Yu

Nanjing Tech University

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Peng Yue

Westlake University

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Yuping Yan

Westlake University 

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Miqing Li

University of Birmingham  

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Ke Li

University of Exeter

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Yi Mei

Victoria University of Wellington 

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Xinjie Wang

Hangzhou Normal University

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Haoyu Zhang

Hangzhou Normal University

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Shufen Qin

Taiyuan University of Science and Technology

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Hao Wang

Taiyuan University of Science and Technology

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Haibo Yu

North University of China

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Chang Liu

Shenyang Institute of Automation, Chinese Academy of Sciences

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Xinjie Zhang

Shanghai Jiuzhang Intelligent Technology Co., Ltd.

单位

·Organizer

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·Technical Sponsor

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The IEEE Ethics Reporting link: https://secure.ethicspoint.com/domain/media/en/gui/20410/index.html

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