Visual perception is an important sensory channel for humans to understand the structure and changes in the external environment. As one of the core areas of artificial intelligence, computer vision aims to utilize principles from cognitive science and computer technology to replicate human visual capabilities. The goal is to enable intelligent machines to autonomously understand and interact e...

Natural Language Processing (NLP) is a technology that uses computers as tools to process and manipulate various forms of human language, including written and spoken language. It is an important discipline in the fields of computer science and artificial intelligence, and it intersects with disciplines such as linguistics, psychology, neuroscience, robotics, and machine learning. NLP is one of...

The field of Auditory, Speech, and Music focuses on general intelligence, employing research paradigms based on neuroscience and neuromorphic intelligence. It adopts an embodied learning approach through body-environment interaction, with the goal of conducting theoretical, methodological, and applied research in areas such as scene analysis of complex acoustic environments, human-computer spee...

Intelligent Graphics and Interaction is a discipline that focuses on digitizing, simulating, displaying high-fidelity worlds, and interacting with them naturally. It is widely applied in digital content creation and information visualization. With the rapid development of related fields such as digital twins, embodied intelligence, and AIGC, it has become a fundamental technology of artificial ...

Machine Learning is the discipline that studies how to enable computers to simulate or achieve human learning activities. On one hand, it explores learning mechanisms, aiming to simulate human learning processes. On the other hand, it focuses on effectively utilizing information and extracting hidden, valuable, and interpretable knowledge from data. Its methods and techniques support various fi...

Cognitive reasoning, through analogy to milestone events in human development, focuses on demonstrating "small data, big task" human-like learning abilities from raw signals (such as vision, hearing, touch, or multimodal inputs) to achieve precise modeling of complex physical and social interactions, thereby driving the advancement of the next generation of strong artificial intelligence.Cognit...

The research direction of multi-agent systems is an interdisciplinary field that combines deep reinforcement learning, multi-agent systems, and game theory. It primarily addresses the problem of how each intelligent agent in a complex environment with multiple decision-making entities can optimize its utility function and find optimal strategies through cooperation, competition, and mixed game ...

The Intelligent Robotics research aims to achieve highly intelligent robotic systems and focuses on addressing the challenges of environment perception and motion behavior learning. Its goal is to advance cutting-edge research in the field of intelligent robotics and enable broader and deeper applications of intelligent robot technologies in various industries and collaborative services.The mai...

With a focus on serving highly intelligent machine perception and cognition systems, combining data-driven and knowledge-guided approaches, and utilizing structured and unstructured data, we conduct research in the fields of data intelligence, computational intelligence, and intelligent information systems. Our aim is to develop new approaches in artificial intelligence based on data as the fou...

Cross-media intelligence combines multimedia computing with artificial intelligence to conduct theoretical, methodological, and technical research on understanding and generating various multimedia content, including text, images, videos, audio, documents, and 3D data. The main objective is to leverage the cross-media characteristics of the human brain to bridge the perception and cognition of ...

Intelligent Information System research focuses on secure, efficient, and intelligent technologies and methods related to the generation, storage, transmission, and output of information systems and content. The main areas of research include:Network Systems and Cybersecurity: Research on malicious code detection and prevention, internet security threat monitoring, software vulnerability analys...