Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc. Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging. This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, and promising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.

Despite China's rise to the status of global power, many Chinese youths are anxious about their personal future, in large measure because the rapid changes have left them feeling adrift. This book, available in open access, provides a manifesto of intellectual activism that counsels China's young people to think by themselves and for themselves. Consisting of three conversations between Xiang Biao, a social anthropologist, and Wu Qi, a rising journalist, the book probes how China has reached its current stage and how young people can make changes. The conversations touch on issues of mobility, education, family, relations between the self and the authority, centers and margins, China, and the world. The Chinese version was named the "most impactful book of 2021" by Douban, China's premier website for rating books, films, and music. The English version is translated by David Ownby, who also penned an introduction.

This book systemically describes the mechanisms underlying the neural regulation of metabolism. Metabolic diseases, including obesity and its associated conditions, currently affect more than 500 million people worldwide. Recent research has shown that the neural regulation of metabolism is a central mechanism that controls metabolic status physiologically and pathophysiologically. The book first introduces the latest studies on the neural and cellular mechanisms of hypothalamic neurons, hypothalamic glial cells, neural circuitries, cellular signaling pathways, and synaptic plasticity in the control of appetite, body weight, feeding-related behaviors and metabolic disorders. It then summarizes the humoral mechanisms by which critical adipocyte-derived hormones and lipoprotein lipase regulate lipid and glucose metabolism, and examines the role of the hypothalamus-sympathetic nerve, a critical nerve pathway from CNS to peripheral nervous system (PNS), in the regulation of metabolism in multiple tissues/organs. Furthermore, the book discusses the functions of adipose tissue in energy metabolism. Lastly, it explores dietary interventions to treat neural diseases and some of the emerging technologies used to study the neural regulation of metabolism. Presenting cutting-edge developments in the neural regulation of metabolism, the book is a valuable reference resource for graduate students and researchers in the field of neuroscience and metabolism.

Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output. This is by nature a multi-disciplinary research problem, involving computer vision (CV), natural language processing (NLP), knowledge representation and reasoning (KR), etc. Further, VQA is an ambitious undertaking, as it must overcome the challenges of general image understanding and the question-answering task, as well as the difficulties entailed by using large-scale databases with mixed-quality inputs. However, with the advent of deep learning (DL) and driven by the existence of advanced techniques in both CV and NLP and the availability of relevant large-scale datasets, we have recently seen enormous strides in VQA, with more systems and promising results emerging. This book provides a comprehensive overview of VQA, covering fundamental theories, models, datasets, and promising future directions. Given its scope, it can be used as a textbook on computer vision and natural language processing, especially for researchers and students in the area of visual question answering. It also highlights the key models used in VQA.

Despite China's rise to the status of global power, many Chinese youths are anxious about their personal future, in large measure because the rapid changes have left them feeling adrift. This book, available in open access, provides a manifesto of intellectual activism that counsels China's young people to think by themselves and for themselves. Consisting of three conversations between Xiang Biao, a social anthropologist, and Wu Qi, a rising journalist, the book probes how China has reached its current stage and how young people can make changes. The conversations touch on issues of mobility, education, family, relations between the self and the authority, centers and margins, China, and the world. The Chinese version was named the "most impactful book of 2021" by Douban, China's premier website for rating books, films, and music. The English version is translated by David Ownby, who also penned an introduction.