Peng Liu – författare

This book introduces computational advertising, and Internet monetization. It provides a macroscopic understanding of how consumer products in the Internet era push user experience and monetization to the limit. Part One of the book focuses on the basic problems and background knowledge of online advertising. Part Two targets the product, operations, and sales staff, as well as high-level decision makers of the Internet products. It explains the market structure, trading models, and the main products in computational advertising. Part Three targets systems, algorithms, and architects, and focuses on the key technical challenges of different advertising products.Features· Introduces computational advertising and Internet monetization· Covers data processing, utilization, and trading· Uses business logic as the driving force to explain online advertising products and technology advancement· Explores the products and the technologies of computational advertising, to provide insights on the realization of personalization systems, constrained optimization, data monetization and trading, and other practical industry problems· Includes case studies and code snippets

Information security concerns the confidentiality, integrity, and availability of information processed by a computer system. With an emphasis on prevention, traditional information security research has focused little on the ability to survive successful attacks, which can seriously impair the integrity and availability of a system. This text uses database trusted recovery, as an example, to illustrate the principles of trusted recovery in defensive information warfare. Traditional database recovery mechanisms do not address trusted recovery, except for complete rollbacks, which undo the work of benign transactions as well as malicious ones, and compensating transactions, whose utility depends on application semantics. Database trusted recovery faces a set of unique challenges. In particular, trusted database recovery is complicated mainly by the presence of benign transactions that depend, directly or indirectly on malicious transactions and the requirement by many mission-critical database applications that trusted recovery should be done on-the-fly without blocking the execution of new user transactions.This book proposes an alternative model and a set of innovative algorithms for database trusted recovery. Both read-write dependency-based and semantics-based trusted recovery algorithms are proposed, together with static and dynamic database trusted recovery algorithms. These algorithms can typically save a lot of work by innocent users and can satisfy a variety of attack recovery requirements of real world database applications.

Providing a window on educational leadership from an Asian cultural perspective, Liu and Thien’s edited collection describes how educational leadership is linked with national culture in the context of different Asian countries. While much of the scholarship on this topic has been built on Western paradigms, this book examines the measurement of school leadership from a diverse lens by taking cultural context into account while examining educational leadership. Drawing on cross-cultural perspectives, the authors investigate the relationship between leadership for learning and societal culture, in addition to the relationship between leadership style and culture. The text provides a theoretical basis for understanding leadership in the context of Asian countries, and offers practical suggestions for identifying effective, and culturally sensitive leadership practices in similar cultural contexts.An excellent resource for graduate students, researchers in comparative education, educational practitioners looking to improve their education practices, and anyone interested in cultural leadership practices.

Providing a window on educational leadership from an Asian cultural perspective, Liu and Thien’s edited collection describes how educational leadership is linked with national culture in the context of different Asian countries. While much of the scholarship on this topic has been built on Western paradigms, this book examines the measurement of school leadership from a diverse lens by taking cultural context into account while examining educational leadership. Drawing on cross-cultural perspectives, the authors investigate the relationship between leadership for learning and societal culture, in addition to the relationship between leadership style and culture. The text provides a theoretical basis for understanding leadership in the context of Asian countries, and offers practical suggestions for identifying effective, and culturally sensitive leadership practices in similar cultural contexts.An excellent resource for graduate students, researchers in comparative education, educational practitioners looking to improve their education practices, and anyone interested in cultural leadership practices.

This book introduces computational advertising, and Internet monetization. It provides a macroscopic understanding of how consumer products in the Internet era push user experience and monetization to the limit. Part One of the book focuses on the basic problems and background knowledge of online advertising. Part Two targets the product, operations, and sales staff, as well as high-level decision makers of the Internet products. It explains the market structure, trading models, and the main products in computational advertising. Part Three targets systems, algorithms, and architects, and focuses on the key technical challenges of different advertising products.Features· Introduces computational advertising and Internet monetization· Covers data processing, utilization, and trading· Uses business logic as the driving force to explain online advertising products and technology advancement· Explores the products and the technologies of computational advertising, to provide insights on the realization of personalization systems, constrained optimization, data monetization and trading, and other practical industry problems· Includes case studies and code snippets

This book examines the vital roles of teacher leadership in the ever-evolving landscape of educational change, a constant presence in educational settings. As a cornerstone of school improvement initiatives, teacher leadership is essential; however, research in this field frequently lacks strong theoretical foundations and thorough exploration. This edited volume provides a comprehensive perspective on the roles of teacher leaders in driving educational change.The chapters discuss the competencies required for teacher leadership in turnaround schools, its influence on both school-level and systemic reforms, and the contextual factors shaping leadership development. Additionally, the book provides an in-depth examination of teacher leadership's transformative potential in fostering educational change, offering comprehensive insights into how teacher leaders drive innovation, collaboration, and improvement within schools. By addressing these themes, the volume contributes to a deeper understanding of teacher leadership's role in shaping educational outcomes.This book caters to a wide audience, including graduate students in leadership programs, practitioners, policymakers, and stakeholders involved in shaping educational policies. It offers valuable theoretical insights and serves as a practical reference for those aiming to understand the significant impact of teacher leadership on educational change and improvement efforts.

This book examines the vital roles of teacher leadership in the ever-evolving landscape of educational change, a constant presence in educational settings. As a cornerstone of school improvement initiatives, teacher leadership is essential; however, research in this field frequently lacks strong theoretical foundations and thorough exploration. This edited volume provides a comprehensive perspective on the roles of teacher leaders in driving educational change.The chapters discuss the competencies required for teacher leadership in turnaround schools, its influence on both school-level and systemic reforms, and the contextual factors shaping leadership development. Additionally, the book provides an in-depth examination of teacher leadership's transformative potential in fostering educational change, offering comprehensive insights into how teacher leaders drive innovation, collaboration, and improvement within schools. By addressing these themes, the volume contributes to a deeper understanding of teacher leadership's role in shaping educational outcomes.This book caters to a wide audience, including graduate students in leadership programs, practitioners, policymakers, and stakeholders involved in shaping educational policies. It offers valuable theoretical insights and serves as a practical reference for those aiming to understand the significant impact of teacher leadership on educational change and improvement efforts.

Challenging the Western view of idols as objects of worship, this book explores the role that male idols play in fashion and cosmetics brand marketing in mainland China, Hong Kong, and Macau; including the role of the female gaze. It examines idols in the more modern, pan-Asian sense of the word - as objects of social devotion, worshipped by the adoring masses and, in China and Korea, as objects of social and moral uplift. The contemporary idol wields great power - the power to influence taste, and to sell - and Male Idols and Branding in Chinese Luxury focuses on their ability to arouse the consumer appetite to buy. In China, popular culture idols play a vital role in the luxury fashion and cosmetics industries as brand ambassadors and this volume fills a critical gap in the English-language literature on this key element of the marketing industry, bringing together authors from the United States and China, and featuring case studies on idols Wang Yibo and Xiao Zhan. Through considering the subtleties of branding and marketing in China, Korea, and Japan, and the relationship of Chinese idols to fans and consumers in other Asian countries, the authors delve into brand-idol collaborations, particularly through lenses of brand image and toxic fan culture.

Motivation for the Book This book seeks to establish the state of the art in the cyber situational awareness area and to set the course for future research. A multidisciplinary group of leading researchers from cyber security, cognitive science, and decision science areas elab orate on the fundamental challenges facing the research community and identify promising solution paths. Today, when a security incident occurs, the top three questions security admin istrators would ask are in essence: What has happened? Why did it happen? What should I do? Answers to the ?rst two questions form the core of Cyber Situational Awareness. Whether the last question can be satisfactorily answered is greatly de pendent upon the cyber situational awareness capability of an enterprise. A variety of computer and network security research topics (especially some sys tems security topics) belong to or touch the scope of Cyber Situational Awareness. However, the Cyber Situational Awareness capability of an enterprise is still very limited for several reasons: • Inaccurate and incomplete vulnerability analysis, intrusion detection, and foren sics. • Lack of capability to monitor certain microscopic system/attack behavior. • Limited capability to transform/fuse/distill information into cyber intelligence. • Limited capability to handle uncertainty. • Existing system designs are not very “friendly” to Cyber Situational Awareness.

Information security concerns the confidentiality, integrity, and availability of information processed by a computer system. With an emphasis on prevention, traditional information security research has focused little on the ability to survive successful attacks, which can seriously impair the integrity and availability of a system. Trusted Recovery And Defensive Information Warfare uses database trusted recovery, as an example, to illustrate the principles of trusted recovery in defensive information warfare. Traditional database recovery mechanisms do not address trusted recovery, except for complete rollbacks, which undo the work of benign transactions as well as malicious ones, and compensating transactions, whose utility depends on application semantics. Database trusted recovery faces a set of unique challenges. In particular, trusted database recovery is complicated mainly by (a) the presence of benign transactions that depend, directly or indirectly on malicious transactions; and (b) the requirement by many mission-critical database applications that trusted recovery should be done on-the-fly without blocking the execution of new user transactions.Trusted Recovery And Defensive Information Warfare proposes a new model and a set of innovative algorithms for database trusted recovery. Both read-write dependency based and semantics based trusted recovery algorithms are proposed. Both static and dynamic database trusted recovery algorithms are proposed. These algorithms can typically save a lot of work by innocent users and can satisfy a variety of attack recovery requirements of real world database applications. Trusted Recovery And Defensive Information Warfare is suitable as a secondary text for a graduate level course in computer science, and as a reference for researchers and practitioners in information security.

Motivation for the Book This book seeks to establish the state of the art in the cyber situational awareness area and to set the course for future research. A multidisciplinary group of leading researchers from cyber security, cognitive science, and decision science areas elab orate on the fundamental challenges facing the research community and identify promising solution paths. Today, when a security incident occurs, the top three questions security admin istrators would ask are in essence: What has happened? Why did it happen? What should I do? Answers to the ?rst two questions form the core of Cyber Situational Awareness. Whether the last question can be satisfactorily answered is greatly de pendent upon the cyber situational awareness capability of an enterprise. A variety of computer and network security research topics (especially some sys tems security topics) belong to or touch the scope of Cyber Situational Awareness. However, the Cyber Situational Awareness capability of an enterprise is still very limited for several reasons: • Inaccurate and incomplete vulnerability analysis, intrusion detection, and foren sics. • Lack of capability to monitor certain microscopic system/attack behavior. • Limited capability to transform/fuse/distill information into cyber intelligence. • Limited capability to handle uncertainty. • Existing system designs are not very “friendly” to Cyber Situational Awareness.

This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a “develop from scratch” method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, you’ll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide.After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which you’ll be able to put into practice in your own machine learning models.What You Will LearnApply Bayesian Optimization to build better machine learning modelsUnderstand and research existing and new Bayesian Optimization techniquesLeverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner workingDig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimizationWho This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.

Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python.Part one of Quantitative Trading Strategies with Python covers the fundamentals of trading strategies, including an introduction to quantitative trading, the electronic market, risk and return, and forward and futures contracts. Part two introduces common trading strategies, including trend-following, momentum trading, and evaluation process via backtesting. Part three covers more advanced topics, including statistical arbitrage using hypothesistesting, optimizing trading parameters using Bayesian optimization, and generating trading signals using a machine learning approach. Whether you're an experienced trader looking to automate your trading strategies or a beginner interested in learning quantitative trading, this book will be a valuable resource. Written in a clear and concise style that makes complex topics easy to understand, and chock full of examples and exercises to help reinforce the key concepts, you’ll come away from it with a firm understanding of core trading strategies and how to use Python to implement them.What You Will LearnMaster the fundamental concepts of quantitative tradingUse Python and its popular libraries to build trading models and strategies from scratchPerform data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning for trading strategies using PythonUtilize common trading strategies such as trend-following, momentum trading, and pairs tradingEvaluate different quantitative trading strategies by applying the relevant performance measures and statistics in a scientific manner during backtestingWho This Book Is ForAspiring quantitative traders and analysts, data scientists interested in finance, and researchers or students studying quantitative finance, financial engineering, or related fields.

The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019.

This open access volume explores the cutting edge of quantitative methods in agricultural risk management and insurance.  Composed of insightful articles authored by field experts, focusing on innovation, recent advancements, and the use of technology and data sciences, it bridges the gap between theory and practice through empirical studies, concrete examples and case analyses.Evolving challenges in risk management have called for the development of new, groundbreaking models. Beyond presenting the theoretical foundations of these models, this book discusses their real-world applications, providing tangible insights into how innovative modeling can elevate risk management strategies in the agricultural sector.The latest risk management tools incorporate novel concepts such as index insurance, price index risk management frameworks and risk pools. The practical implications of these approaches are investigated, and their impact on contemporary agricultural risk mitigation and insurance practices is examined. Field experiences illustrate the implementation of these tools and their resulting outcomes.Modern data analysis techniques in agricultural risk and insurance include machine learning, spatial analysis, text analysis, and deep learning. In addition to scrutinizing these ideas, the authors introduce an economic perspective towards risk, highlighting areas that have developed thanks to technological progress. Examples illustrate how these combined methodologies contribute to informed decision-making in agriculture, and their potential benefits and challenges are considered.This carefully compiled volume will be a valuable reference for researchers, practitioners, and students intrigued by the dynamic intersection of agricultural risk management and insurance practices.

This collection addresses key issues in the preparation and development of school leaders across eight countries and four world areas (North America, United Kingdom, Europe and Australasia).

Today, when a security incident happens, the top three questions a cyber operation center would ask are: What has happened? Why did it happen? What should I do? Answers to the first two questions form the core of Cyber Situation Awareness (SA). Whether the last question can be satisfactorily addressed is largely dependent upon the cyber situation awareness capability of an enterprise.The goal of this book is to present a summary of recent research advances in the development of highly desirable Cyber Situation Awareness capabilities.The 8 invited full papers presented in this volume are organized around the following topics: computer-aided human centric cyber situation awareness; computer and information science aspects of the recent advances in cyber situation awareness; learning and decision making aspects of the recent advances in cyber situation awareness; cognitive science aspects of the recent advances in cyber situation awareness

This book constitutes revised selected papers from the 4th International Workshop on Graphical Models for Security, GraMSec 2017, held in Santa Barbara, CA, USA, in August 2017. The 5 full and 4 short papers presented in this volume were carefully reviewed and selected from 19 submissions. The book also contains one invited paper from the WISER project. The contributions deal with the latest research and developments on graphical models for security.

For 20 years, the IFIP WG 11. 3 Working Conference on Data and Appli- tions Security (DBSEC) has been a major forum for presenting originalresearch results, practical experiences, and innovative ideas in data and applications - curity. Looking back, it is di?cult not to appreciatethe full extent of the change that has occurred in our ?eld. Once considered afterthoughts in systems and application design, data protection, privacy and trust have become the key problems of our day. This central role of security in the information society has however brought increased responsibilities to the research community. - day practitioners and researchers alike need to ?nd new ways to cope with the increasing scale and complexity of the security problems that must be solved on the global information infrastructure. Like the previous conference, the 20th DBSEC has proved to be up to this challenge. DBSEC 2006 received 56 submissions, out of which the program committee selected22 high-qualitypaperscoveringanumber of diverseresearchtopicssuch as access control, privacy, and identity management. We are glad to see that the ?nal program contains a well-balanced mix of theoretical results and practical prototype systems, many of them converging and building o? each other. Also, the DBSEC program includes a number of papers on new, emerging aspects of security research. Putting together a top-level conference like DBSEC is always a team e?ort.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Information Security and Cryptology, Inscrypt 2008, held in Beijing, China, in December 2008. The 28 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on digital signature and signcryption schemes, privacy and anonymity, message authentication code and hash function, secure protocols, symmetric cryptography, certificateless cryptography, hardware implementation and side channel attack, wireless network security, public key and identity based cryptography, access control and network security, as well as trusted computing and applications.

This book provides a holistic picture of how Chinese turnaround schools have been remarkably improved over the years and to arouse further discussion in this regard.

This book provides a holistic picture of how Chinese turnaround schools have been remarkably improved over the years and to arouse further discussion in this regard.

This book includes original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024), held in Datong, Shanxi, China on Aug.9-11, 2024. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.

This book explores turnaround leadership in Southeast Asian countries across four themes: principal competencies and leadership frameworks, country-specific practices, teacher leadership and empowerment, and system leadership for school transformation. The chapters collectively contribute to a unified understanding of how theoretical models intersect with real-world challenges and strategies to improve low-performing schools. Emphasising a flexible, context-driven approach over a one-size-fits-all model, the book underscores the importance of adapting leadership strategies to diverse educational environments. While rooted in Southeast Asia, its insights are globally relevant, offering guidance for scholars, policymakers, and practitioners aiming to advance educational equity and sustainable school improvement through contextually grounded leadership practices. This book also encourages meaningful cross-country learning and policy development. Professor Kenneth Leithwood, University of Toronto, CanadaFeaturing qualitative evidence from schools in 11 Southeast Asian countries, this book provides a carefully grounded and much needed non-western perspective on the meaning of successful school leadership and the culturally sensitive task of improving the performance of underperforming schools. It is an excellent resource for both practicing school leaders and researchers. Professor Coby Meyers, University of Virginia, United StatesThe rapid improvement of underserved schools—and the students they serve—remains a critical topic worldwide. Liu and Thien’s focus on Southeast Asia is a timely and comprehensive account of various challenges to leading school turnaround in an array of contexts. The attention paid to system, school, and teacher leaders in these challenging circumstances offer important insights into how such efforts can be successful in Southeast Asia and elsewhere while illuminating the various complexities to overcome. Professor Jingping Sun, University of Alabama, United StatesWhat distinguishes successful school leaders from others is the breadth and accumulation of practices and strategies they enact and employ, as well as the frequency and intensity with which they apply them effectively with precise timing to achieve success, driven by resilience, passion, contextual intelligence, political acuity, and above all, a strong moral purpose. As Walker and Dimmock commented, our understanding of educational leadership remains incomplete if the bulk of theory and practice in the field are drawn from Anglo-Saxon countries. This explains the unique contribution of this book, which broadens our understanding of educational leadership to turn around schools in Southeast Asian countries.

This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions.Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc.The authors, also knew as "competition professionals”, will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.