Jialin Zhang's Books

Computational Thinking: A Perspective on Computer Science

By: Zhiwei Xu,Jialin Zhang

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Computational Thinking: A Perspective on Computer Science

By: Zhiwei Xu,Jialin Zhang

This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking. This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work. The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.

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Page Count

338

Publisher

Springer Nature

Published Date

ISBN 10

9811638489

ISBN 13

9789811638480

Transfer Learning

By: Qiang Yang,Yu Zhang,Wenyuan Dai,Sinno Jialin Pan

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Transfer Learning

By: Qiang Yang,Yu Zhang,Wenyuan Dai,Sinno Jialin Pan

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.

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Page Count

394

Publisher

Cambridge University Press

Published Date

ISBN 10

1108860087

ISBN 13

9781108860086

Development and Applications of Free Electron Lasers

By: Jia Chen,Hai-Cang Ren,Xie Jialin,Ming-han Ye

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Development and Applications of Free Electron Lasers

By: Jia Chen,Hai-Cang Ren,Xie Jialin,Ming-han Ye

Provides a comprehensive overview of the field of free electron lasers. Each chapter is based on a graduate-level lecture given by an internationally-known expert in the field, and is self-contained, beginning with introductory background material and culminating in an in-depth discussion of the author's current research. Written with both the student physicist and the active researcher in mind, this book is sure to be an invaluable reference for graduate students and professionals alike.

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Page Count

176

Publisher

CRC Press

Published Date

ISBN 10

9056995022

ISBN 13

9789056995027

Full-Scale Field Tests of Different Types of Piles

Project-Based Study

By: Jialin Zhou,Erwin Oh

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Full-Scale Field Tests of Different Types of Piles

Project-Based Study

By: Jialin Zhou,Erwin Oh

This book provides full-scale field tests of different types of pile foundations. For the testing, it includes static load tests which consider various loading orientations, dynamic load tests, inclinometer monitoring and tests that aim to determine the load transfer mechanism of pile foundation. This book also covers the up-to-date popular topic with detailed project studies. This includes the academic investigation of post-grouting technology effect on drilled shaft piles, the research of displacement and non-displacement precast pile foundation, the study of fiber-reinforced polymer material used in the geo-technical environment such as deep excavation pit in tunneling project, and the research of super-long and large diameter pile foundations. These investigations provide essential and academic information for researchers as well as engineers in role of Civil and Geotech. Not only the different types of the piles are studied, but also the relevant theory and literatures are reviewed. In this book, the diagrams are plotted in an easy way and the explanation of the diagrams and tables are described in detail. The research methods corresponding to the practical projects are detailed as well. Hence, it is useful as a reference for the students and researchers in civil and geotechnical engineering.

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Page Count

272

Publisher

Springer Nature

Published Date

ISBN 10

9813361832

ISBN 13

9789813361836

Invariant Measures for Stochastic Nonlinear Schrödinger Equations

Numerical Approximations and Symplectic Structures

By: Jialin Hong,Xu Wang

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Invariant Measures for Stochastic Nonlinear Schrödinger Equations

Numerical Approximations and Symplectic Structures

By: Jialin Hong,Xu Wang

This book provides some recent advance in the study of stochastic nonlinear Schrödinger equations and their numerical approximations, including the well-posedness, ergodicity, symplecticity and multi-symplecticity. It gives an accessible overview of the existence and uniqueness of invariant measures for stochastic differential equations, introduces geometric structures including symplecticity and (conformal) multi-symplecticity for nonlinear Schrödinger equations and their numerical approximations, and studies the properties and convergence errors of numerical methods for stochastic nonlinear Schrödinger equations. This book will appeal to researchers who are interested in numerical analysis, stochastic analysis, ergodic theory, partial differential equation theory, etc.

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Page Count

229

Publisher

Springer Nature

Published Date

ISBN 10

9813290692

ISBN 13

9789813290693

Symplectic Integration of Stochastic Hamiltonian Systems

By: Jialin Hong,Liying Sun

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Symplectic Integration of Stochastic Hamiltonian Systems

By: Jialin Hong,Liying Sun

This book provides an accessible overview concerning the stochastic numerical methods inheriting long-time dynamical behaviours of finite and infinite-dimensional stochastic Hamiltonian systems. The long-time dynamical behaviours under study involve symplectic structure, invariants, ergodicity and invariant measure. The emphasis is placed on the systematic construction and the probabilistic superiority of stochastic symplectic methods, which preserve the geometric structure of the stochastic flow of stochastic Hamiltonian systems. The problems considered in this book are related to several fascinating research hotspots: numerical analysis, stochastic analysis, ergodic theory, stochastic ordinary and partial differential equations, and rough path theory. This book will appeal to researchers who are interested in these topics.

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Page Count

307

Publisher

Springer Nature

Published Date

ISBN 10

9811976708

ISBN 13

9789811976704

Numerical Approximations of Stochastic Maxwell Equations

via Structure-Preserving Algorithms

By: Chuchu Chen,Jialin Hong,Lihai Ji

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Numerical Approximations of Stochastic Maxwell Equations

via Structure-Preserving Algorithms

By: Chuchu Chen,Jialin Hong,Lihai Ji

The stochastic Maxwell equations play an essential role in many fields, including fluctuational electrodynamics, statistical radiophysics, integrated circuits, and stochastic inverse problems. This book provides some recent advances in the investigation of numerical approximations of the stochastic Maxwell equations via structure-preserving algorithms. It presents an accessible overview of the construction and analysis of structure-preserving algorithms with an emphasis on the preservation of geometric structures, physical properties, and asymptotic behaviors of the stochastic Maxwell equations. A friendly introduction to the simulation of the stochastic Maxwell equations with some structure-preserving algorithms is provided using MATLAB for the reader’s convenience. The objects considered in this book are related to several fascinating mathematical fields: numerical analysis, stochastic analysis, (multi-)symplectic geometry, large deviations principle, ergodic theory, partial differential equation, probability theory, etc. This book will appeal to researchers who are interested in these topics.

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Page Count

293

Publisher

Springer Nature

Published Date

ISBN 10

9819966868

ISBN 13

9789819966868

The Struggle across the Taiwan Strait

The Divided China Problem

By: Ramon H. Myers,Jialin Zhang

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The Struggle across the Taiwan Strait

The Divided China Problem

By: Ramon H. Myers,Jialin Zhang

A concise and informative history of how China divided in 1949 into two regimes, why they struggled to achieve the same political goal-reunification of China—and why their struggle today continues in a more complex and dangerous way. The authors detail how the changes brought about by the 2000 election not only intensified the conflict between the regimes but locked both sides into a new contest that increased the probability of war rather than peace.

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Page Count

172

Publisher

Hoover Institution Press

Published Date

ISBN 10

0817946934

ISBN 13

9780817946937

Computational Thinking: A Perspective on Computer Science

By: Zhiwei Xu,Jialin Zhang

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Computational Thinking: A Perspective on Computer Science

By: Zhiwei Xu,Jialin Zhang

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Solve jigsaw puzzle

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Page Count

338

Publisher

Springer Nature

Published Date

ISBN 10

9811638489

ISBN 13

9789811638480

Transfer Learning

By: Qiang Yang,Yu Zhang,Wenyuan Dai,Sinno Jialin Pan

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Transfer Learning

By: Qiang Yang,Yu Zhang,Wenyuan Dai,Sinno Jialin Pan

This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.

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Page Count

393

Publisher

Cambridge University Press

Published Date

ISBN 10

1107016908

ISBN 13

9781107016903

Low-overhead Communications in IoT Networks

Structured Signal Processing Approaches

By: Yuanming Shi,Jialin Dong,Jun Zhang

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Low-overhead Communications in IoT Networks

Structured Signal Processing Approaches

By: Yuanming Shi,Jialin Dong,Jun Zhang

The recent developments in wireless communications, networking, and embedded systems have driven various innovative Internet of Things (IoT) applications, e.g., smart cities, mobile healthcare, autonomous driving and drones. A common feature of these applications is the stringent requirements for low-latency communications. Considering the typical small payload size of IoT applications, it is of critical importance to reduce the size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead communications also help to improve the energy efficiency of IoT devices. Recently, structured signal processing techniques have been introduced and developed to reduce the overheads for key design problems in IoT networks, such as channel estimation, device identification, and message decoding. By utilizing underlying system structures, including sparsity and low rank, these methods can achieve significant performance gains. This book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind demixing model, and a shuffled linear model, and discusses their applications in enabling low-overhead communications in IoT networks. Further, it presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various mathematical tools.

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Page Count

164

Publisher

Springer Nature

Published Date

ISBN 10

9811538700

ISBN 13

9789811538704

Book's by Jialin Zhang

Computational Thinking: A Perspective on Computer Science

Computational Thinking: A Perspective on Computer Science

Transfer Learning

Transfer Learning

Development and Applications of Free Electron Lasers

Development and Applications of Free Electron Lasers

Full-Scale Field Tests of Different Types of Piles

Full-Scale Field Tests of Different Types of Piles

Invariant Measures for Stochastic Nonlinear Schrödinger Equations

Invariant Measures for Stochastic Nonlinear Schrödinger Equations

Symplectic Integration of Stochastic Hamiltonian Systems

Symplectic Integration of Stochastic Hamiltonian Systems

Numerical Approximations of Stochastic Maxwell Equations

Numerical Approximations of Stochastic Maxwell Equations

The Struggle across the Taiwan Strait

The Struggle across the Taiwan Strait

Computational Thinking: A Perspective on Computer Science

Computational Thinking: A Perspective on Computer Science

Transfer Learning

Transfer Learning

Low-overhead Communications in IoT Networks

Low-overhead Communications in IoT Networks

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