Meet us at the China National Computer Congress

Thursday, October 26, 2023 - Saturday, October 28, 2023 Shenyang

Come see the latest Computer Science books—and talk to the editors that published them. This is your chance—if you’re attending the China National Computer Congress—to talk one-on-one with Springer editors, to see new and essential books (and hold them in your hands!), and more.

When you visit Springer in our booth, you can talk to some of the most experienced editors working in scholarly publishing. These experts can answer any questions you might have and can explain the ins and outs of today’s publishing landscape, including open access (OA), what’s involved in writing and publishing a book, and more.
We welcome you to browse the full portfolio of Computer Science at Springer here. On these pages you will find more detailed information about our books, journals, and services highlighted especially for the China National Computer Congress.

Springer Nature’s leading imprints

CCF – Springer Cooperation

The China Computer Federation (CCF) was founded in 1962, a member of China Association of Science and Technology. The aim of CCF is to promote the progress of computer research, education, industry and applications in various areas in China. Springer set up the cooperation with CCF in May 2012, Since then the cooperation has produced more than 100 conference proceedings volumes, research monographs, and 3 international journals. For more details please refer to this link

Get answers from our expert editors—here’s who you will meet at our booth

You’re attending the China National Computer Congress because you have results to share. But what’s the best way to reach the widest appropriate audience? The Springer editors who are here can help answer that question. You can take the opportunity to meet us. If you haven’t written a book before, they can give you a quick introduction to the process. And if you have, they can show you how publishing a book with Springer would be different from other publishers. They can also help answer any questions you might have about Springer journals.

Dr. Celine Changg

Dr. Celine Chang

Editorial Director, Books

Computer Science

Springer, Beijing, China

celine.chang@cn.springer.com

Tel: +8615011163625

Jingying Cheng

Jingying Chen

Associate Editor, Books

Computer Science

Springer, Beijing, China

jingying.chen@cn.springernature.com

Tel: +861083415127

Dr. Nick Zhug

Dr. Nick Zhu

Senior Editor, Books

Computer Science

Springer, Beijing, China

nick.zhu@cn.springernature.com

Tel: +861083415149

Herman Gug

Herman Gu

Associate Editor, Books

Computer Science Proceedings

Springer, Beijing, China

herman.gu@cn.springernature.com

Tel: +861083415068

Jojo Dongg

Jojo Dong

Senior Publisher, Journals

Applied Sciences

Springer, Beijing, China

jojo.dong@cn.springernature.com

Tel: +861083415141

Chloe Huangg

Chloe Huang

Associate Publisher, Journals

Computer Science

Springer, Beijing, China

chloe.huang@cn.springernature.com

Tel: +861083415005

Publishing with Springer Nature

Every kind of article or book you might write can find it’s home here, including in fully OA books and journals. So, you can see for yourself, Celine, Jane, Jingying, Nick, Herman, Jojo and Chloe have hand-chosen examples that demonstrate the quality, breadth, and depth of what we publish; and also how your research might find its place here. If you already have a book idea in mind, you can discuss it directly with an experienced Publishing Editors. Find out what makes publishing your book with Springer Nature different.

The books and Journals below illustrate the scope and quality of the research published here.

Books

Computer Vision

R. Szeliski

Computer Vision

Algorithms and Applications

  • Presents state-of-the-art techniques, featuring new material on deep learning and deep neural networks
Elements of Dimensionality Reduction and Manifold Learning

B. Ghojogh, M. Crowley, F. Karray, A. Ghodsi

Elements of Dimensionality Reduction and Manifold Learning

  • Explains the theory of fundamental algorithms in dimensionality reduction, in a step-by-step and very detailed approach
Reinforcement Learning for Sequential Decision and Optimal Control

S. E. Li

Reinforcement Learning for Sequential Decision and Optimal Control

  • Provides a comprehensive and thorough introduction to reinforcement learning, ranging from theory to application
Introduction to Transfer Learning

J. Wang, Y. Chen

Introduction to Transfer Learning

Algorithms and Practice

  • Fast and painless icebreaker for your journey into transfer learning
AI Ethics

P. Boddington

AI Ethics

A Textbook

  • Clarifies fundamental concepts and questions in AI ethics
Machine Learning Safety

X. Huang, G. Jin, W. Ruan

Machine Learning Safety

  • Provides a comprehensive and thorough investigation on safety concerns regarding machine learning

Journals

CCF Transactions on Pervasive Computing and Interaction

CCF Transactions on Pervasive Computing and Interaction

EiC Zhiwen Yu; Sumi Helal

  • An official CCF publication, powered by CCF technical committees on Pervasive Computing and Human Computer Interaction
  • Covers all aspects of human-computer interaction and pervasive/ubiquitous computing as well as interdisciplinary topics
  • Offers a rapid reviewing process and publishing workflow
CCF Transactions on High Performance Computing

CCF Transactions on High Performance Computing

EiC Depei Qian, Dhabaleswar K. Panda

  • An official CCF publication, powered by CCF TC on HPC, and CCF TC on Computer Architectures and Information Storage Technology
  • Covers four major areas: 1) Architectures on HPC; 2) Supercomputing systems; 3) Storage; 4) Applications of HPC
  • Offers rapid reviewing process and publication workflow
SN Computer Science

SN Computer Science

EiC Umapada Pal, Chau Yuen

Data Mining and Knowledge Discovery

Data Mining and Knowledge Discovery

EiC

  • The premier technical journal focused on the theory, techniques and practice for extracting information from large databases.
  • Publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.
Minds and Machines

Minds and Machines

EiC Mariarosaria Taddeo

Journal for Artificial Intelligence, Philosophy and Cognitive Science

  • Impact Factor: 7.4 (2022) / No1 journal Scopus Philosophy (citescore 8.7)
  • Affiliated with the Society for Machines and Mentality.
  • Fosters a tradition of criticism within the AI and philosophical communities on problems and issues of common concern.
Machine Learning

Machine Learning

EiC Hendrik Blockeel

  • An international forum for research on computational approaches to learning.
  • Reports substantive results on a wide range of learning methods applied to a variety of learning problems.
  • Provides solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena.

Open access

Serving the global research community with openness, rigor, quality, and transparency

Open access (OA) refers to the free, immediate, online availability of research outputs such as journal articles or books, combined with the rights to use these outputs fully in the digital environment. Publishing OA expands the reach of your research, fostering greater impact, visibility and usage of your work. Studies indicate that gold OA articles achieve significantly more downloads, citations, and Altmetric attention than non-OA articles.

You may be able to publish OA, with your fees covered, through one of Springer Nature’s many OA agreements. Alternatively, you can use our free OA funding and support service to find and apply for funding to cover your article processing charges (APCs) and/or book processing charges (BPCs).

Ultimately, serving the research community means research that’s open to all. And the only way to achieve full, immediate, and sustainable OA is by prioritising gold OA.

Below you’ll find a selection of OA journals and books that our editors have chosen as of particular interest for the China National Computer Congress.

Journals

Data Science and Engineering Open Access

Data Science and Engineering

EiC Bin Cui, Timos Sellis

  • Publishes research from computer science, statistics, information science and other fields
  • An official publication of China Computer Federation (CCF)
  • High visibility with open access
Visual Intelligence Open Access

Visual Intelligence

EiC Yaonan Wang

  • Specializes in visual intelligence
  • Official journal of China Society of Image and Graphics (CSIG)
  • Authors do not need to pay an APC as the payment for publications are covered by CSIG
Visual Computing for Industry, Biomedicine, and Art Open Access

Visual Computing for Industry, Biomedicine, and Art

EiC Jie Tian

  • Covering multidisciplinary interactions in industry, medicine and art fields
  • Official journal of China Graphics Society
  • High visibility due to open access and APCs are fully covered by China Graphics Society
Cybersecurity Open Access

Cybersecurity

EiC Dan Meng; Executive Editor-in-Chief: Peng Liu

  • Covering topics from across all areas of cybersecurity
  • First open access journal on cybersecurity
  • APCs fully sponsored by the Institute of Information Engineering (IIE)
Brain Informatics Open Access

Brain Informatics

EiC Ning Zhong; Co-Editors-in-Chief: Hesheng Liu

  • Providing research on brain science adopting computational and informatics technologies
  • Includes works on emerging information technologies and neuro-imaging technologies
  • Great visibility with open access
Autonomous Intelligent Systems Open Access

Autonomous Intelligent Systems

EiC Jie Chen

  • Covers all aspects of autonomous intelligent systems
  • Affiliated with Shanghai Research Institute for Intelligent Autonomous Systems
  • High visibility due to open access and APCs are fully covered by Tongji University

Books

Representation Learning for Natural Language Processing Open Access

Z. Liu, Y. Lin, M. Sun

Representation Learning for Natural Language Processing

  • Provides a comprehensive overview of the representation learning techniques for natural language processing.
Data Communications and Network Technologies Open Access

L. Huawei Technologies Co., Ltd.

Data Communications and Network Technologies

  • Designated by Huawei HiAI certi
Hyperparameter Tuning for Machine and Deep Learning with R Open Access

E. Bartz, T. Bartz-Beielstein, M. Zaefferer, O. Mersmann

Hyperparameter Tuning for Machine and Deep Learning with R

A Practical Guide

  • Provides hands-on examples that illustrate how hyperparameter tuning can be applied in industry and academia
Foundation Models for Natural Language Processing Open Access

G. Paaß, S. Giesselbach

Foundation Models for Natural Language Processing

Pre-trained Language Models Integrating Media

  • Offers an overview of pre-trained language models such as BERT, GPT, and sequence-to-sequence Transformer
Hypergraph Computation Open Access

Q. Dai, Y. Gao

Hypergraph Computation

  • The first comprehensive and systematic overview for hypergraph computation
Metalearning Open Access

P. Brazdil, J. N. van Rijn, C. Soares, J. Vanschoren

Metalearning

Applications to Automated Machine Learning and Data Mining

  • Provide a comprehensive and systematic overview of metalearning