期刊调查草稿（自用）_journel of machine learningresearch审稿周期

人工智能

A类

AI Artificial Intelligence

CCF A类
计算机科学2区

期刊介绍：
The journal of Artificial Intelligence (AIJ), which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to:
automated reasoning and inference,
cognition and AI,
cognition and AI,
case-based reasoning,
commonsense reasoning,
computer vision,
constraint processing,
ethical AI,
explainable AI,
heuristic search,
human interfaces,
intelligent robotics,
knowledge representation,
machine learning,
multi-agent systems,
natural language processing,
planning and action,
reasoning under uncertainty.
The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness. Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited.

LetHub：https://www.letpub.com.cn/index.php?journalid=892&page=journalapp&view=detail
提交须知/论文指南：https://www.sciencedirect.com/journal/artificial-intelligence/publish/guide-for-authors
审稿周期： 网友经验 平均9个月

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JMLR Journal of Machine Learning Research

CCF A类
计算机科学3区

期刊介绍：
The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online.
JMLR has a commitment to rigorous yet rapid reviewing.
JMLR seeks previously unpublished papers on machine learning that contain:
new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature;
experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems;
accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods;
formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks;
development of new analytical frameworks that advance theoretical studies of practical learning methods;
computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.

征文范围：
JMLR seeks previously unpublished papers on machine learning that contain:

• new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature;
• experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems;
• accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods;
• formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks;
• development of new analytical frameworks that advance theoretical studies of practical learning methods;
• computational models of data from natural learning systems at the behavioral or neural level

JMLR occasionally publishes surveys, by invitation from the editorial board.

提交须知/论文指南：https://jmlr.org/author-info.html
LetHub：https://www.letpub.com.cn/index.php?journalid=4744&page=journalapp&view=detail
审稿周期： 网友经验 平均2个月

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B类

TNNLS IEEE Transactions on Neural Networks and learning systems

CCF B类
计算机科学1区

期刊介绍：
The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems.

提交须知/论文指南：https://cis.ieee.org/publications/t-neural-networks-and-learning-systems/tnnls-guidelines-for-paper-submission
LetHub：https://www.letpub.com.cn/index.php?journalid=8837&page=journalapp&view=detail
审稿周期： 网友经验 平均 3-8 周

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JAIR Journal of Artificial Intelligence Research

CCF B类
计算机科学3区

期刊介绍：
JAIR(ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Established in 1993 as one of the first electronic scientific journals, JAIR is indexed by INSPEC, Science Citation Index, and MathSciNet. JAIR reviews papers within approximately three months of submission and publishes accepted articles on the internet immediately upon receiving the final versions. JAIR articles are published for free distribution on the internet by the AI Access Foundation, and for purchase in bound volumes by AAAI Press.

提交须知/论文指南：https://www.jair.org/index.php/jair/about/submissions
LetHub：https://www.letpub.com.cn/index.php?journalid=4172&page=journalapp&view=detail
审稿周期： 官网提到一般 8-12 周

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Machine Learning

CCF B类
计算机科学3区

期刊介绍：
Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems, including but not limited to:
Learning Problems: Classification, regression, recognition, and prediction; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Scientific discovery; Information retrieval; Natural language processing; Design and diagnosis; Vision and speech perception; Robotics and control; Combinatorial optimization; Game playing; Industrial, financial, and scientific applications of all kinds.
Learning Methods: Supervised and unsupervised learning methods (including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.); Reinforcement learning; Evolution-based methods; Explanation-based learning; Analogical learning methods; Automated knowledge acquisition; Learning from instruction; Visualization of patterns in data; Learning in integrated architectures; Multistrategy learning; Multi-agent learning.

提交须知/论文指南：https://link.springer.com/journal/10994/submission-guidelines?utm_medium=display&utm_source=letpub&utm_content=text_link&utm_term=null&utm_campaign=MPSR_10994_AWA1_CN_CNPL_letpb_mp
LetHub：https://www.letpub.com.cn/index.php?journalid=5615&page=journalapp&view=detail
审稿周期： 网友经验 平均 6-12 周 （官网：大部分不到3个月）

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Neural Networks

CCF B类
计算机科学1区

期刊介绍：
Neural Networks is the archival journal of the world’s three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.

Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired computational intelligence. Accordingly, Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters and reviews, as well as letters to the editor, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.

提交须知/论文指南：https://www.sciencedirect.com/journal/neural-networks/publish/guide-for-authors
LetHub：https://www.letpub.com.cn/index.php?journalid=6126&page=journalapp&view=detail
审稿周期： 网友经验 平均 12 个月（官网：10.5周）

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计算机体系结构/并行与分布计算/存储系统

A类

TPDS IEEE Transactions on Parallel and Distributed Systems

CCF A类
计算机科学2区

期刊介绍：
IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly. It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our readers. Particular areas of interest include, but are not limited to:

a) Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing.

b) Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems.

c) Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and evaluation.

d) Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, Internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools.

期刊方向：

• Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing.
• Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems.
• Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and evaluation.
• Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, Internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools.

提交须知/论文指南：https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=71
LetHub：https://www.letpub.com.cn/index.php?journalid=3410&page=journalapp&view=detail
审稿周期： 网友经验 平均 7.5 个月

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B类

JPDC Journal of Parallel and Distributed Computing

CCF B类
计算机科学3区

期刊介绍：
This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing.

The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.

提交须知/论文指南：https://www.sciencedirect.com/journal/journal-of-parallel-and-distributed-computing/publish/guide-for-authors
LetHub：https://www.letpub.com.cn/index.php?journalid=4988&page=journalapp&view=detail
审稿周期： 官网 24.7周

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非本人方向

TPAMI IEEE Trans on Pattern Analysis and Machine Intelligence XXX

期刊介绍：
The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Areas such as techniques for visual search, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.

LetHub：https://www.letpub.com.cn/index.php?journalid=3411&page=journalapp&view=detail

地位很高，不适合作为考虑

作者须知pdf：https://ieeexplore.ieee.org/document/9910342

审稿周期：网友经验 平均7.9个月

IJCV International Journal of Computer Vision XXX