8 Key Research Centers:
- Research Center on AI Generalized Applications
Directed by: Prof. Shipeng Li, Prof. Xi Zhu
This Center is devoted to developing Distributed Intelligent Interaction Systems. Distributed Intelligent Interaction Systems, researched by Professor Shipeng Li, aim to address the issues in traditional natural human-computer interactions caused by the limitations of single or centralized devices and single or limited data sources. This project studies the theory and key technologies in distributed intelligent interaction systems, and it will provide theoretical and technical support for enhancing user experiences in intelligent interactions and extending the ubiquity of intelligent interaction systems.
- Research Center on Computer Vision
Directed by: Prof. Dapeng Zhang, Prof. Rui Huang
As one of the world leading research unit, this Center mainly focuses on various fields associated with computer vision, including high-level based image processing, low-level based image processing and biometrics etc.
Referring to the high-level based image processing, the Center aims to achieve face recognition, image classification, image retrieval and person Re-ID, etc. Specifically, it exploits multiple techniques such as deep learning, hashing learning, reinforce learning, and machine learning to achieve the state-of-the-art performances in different applications.
Referring to the low-level based image processing, the research center has also done many works on image denoising, image super-resolution, image deblurring and image compression, etc.
Referring to the biometrics, the Center focuses on three aspects: Security Biometrics, Medical Biometrics and Social Biometrics. In detail, the research center has designed various systems including the Fingerprints System, Palm-prints System, and Wrist/hand veins System etc. for person identification.
It has also exploited the computer techniques to measure Traditional Chinese Medicine (TCM). According to the theoretical analysis of TCM, the research center has constructed multiple data collection devices for Tongue/Face Diagnosis, Pulse Diagnosis, and Odor diagnosis etc. Furthermore, many feature extraction and classification algorithms for TCM diagnosis have also been studied. Additionally, the research center has also established Facial Beauty System to measure how beautiful a person is.
- Research Center on Crowd Intelligence
Directed by: Prof. Jianwei Huang
With the accelerated evolution of information technologies such as the Internet, big data and cloud computing, crowd intelligence has increasingly played an important role in the information environment of the Internet of Everything (IoE), thus profoundly changing the field of artificial intelligence. At present, the research on crowd intelligence is still in the initial stage, and there does not exist a comprehensive theoretical framework that enables breakthroughs in terms of key technologies such as large-scale crowd intelligence decision-making, incentivization, and coordination.
This Research Center will focus on the basic research of crowd intelligence, with the objective of designing effective incentive mechanisms and coordination control schemes for an efficient crowd intelligence system. Specific research topics included (but not limited to):
- Game theory in AI
- Crowdsourcing and crowdsensing
- Incentive mechanism design for crowds
- Resource sharing in crowds
- Multi-agent reinforcement learning
- Research Center on Intelligent Robots
Directed by: Prof. Tin Lun Lam, Prof. Zhenglong Sun
This Center is devoted to developing new types of robotic technologies, to give impetus to the application of the robotic technologies in new fields. The research focus includes soft robotics, modular robotics, multi-robot systems, human-machine collaboration, etc.
- Research Center on Internet of Things and Smart Cloud
Directed by: Prof. Kai Hwang
This Center aims to integrate high-performance computing, cloud computing, machine learning and Internet of Things technologies to build a large-scale intelligent industrial data center, so as to promote the integration, application and development of industrial intelligent cloud and industrial Internet of Things technologies over the Greater Bay Area in the Pearl River Delta.
There are 8 highlights of major research tasks of the center, including 1) cognitive computing and intelligent manufacturing to promote the Industry 4.0, 2) smart cloud architecture to be designed with AI Chips, IoT Sensors, robotics, etc., 3) OpenStack to be further upgraded for public, private and hybrid clouds, 4) supply chain management optimization over the Greater Bay Area in the Pearl River Delta, 5) smart storage clouds for industrial datacenters with privacy and copyright protections, 6) AI cloud service modules for industrial optimization in supply chains etc., 7) IoT sensing environment for industrial growth and smart city and healthcare industry, 8) system demo with performance assessment in real-life industrial applications.
- Research Center on Machine Learning and Applications
Directed by: Prof. Hongyuan Zha
Research interests of the Center cover a broad spectrum of foundational machine learning theories and algorithms as well as applications areas with societal impacts. The research center’s key focuses include: 1) statistical and mathematical theories of machine learning, machine learning methodologies based on optimal transport theory, stochastic differential equations for MCMC, partial differential equations for generative models, and mean field game theory; 2) deep reinforcement learning and multi-agent reinforcement learning, off-policy policy evaluation, and robust MDP; 3) differential privacy and private learning, statistical utility and privacy tradeoff, and constrained distributional robust learning; 4) point process models and event history analysis, neural intensity functions and random measures, co-evolution of dynamics on the networks and network topology changes; 5) machine learning and reinforcement learning for combinatorial optimization problems, graph neural networks, generative models for dynamic graphs; 6) zero- and few-shot learning and meta-learning. Applications include machine learning for scientific computing, social networks, transportation and healthcare.
- Research Center on Special Robots
Directed by: Dr. Ning Ding
This Center is devoted to developing three research subjects: 1) Structure Design and Motion Control of Special Task Robots for Infrastructure Maintenance Tasks, 2) Disease/Crack Detection at Surface or Subsurface (<0.5m) of Infrastructure Concrete Structure, 3) Application Mode Design Based on the Principle of Human-Robot Symbiosis.
The first research subject involves topics such as design of High-Load bionic climbing mechanism and high-maneuverability motion control system under environmental space constraints and optimal design of robot’s structural parameters and motion strategy based on reinforcement learning framework under constraints from the environment and energy supply. The second research subject aims to solve the problems of three-dimensional reconstruction in complex environments, optical detection of surface diseases, tactile detection of surface diseases and nondestructive detection of internal diseases. The third research subject is devoted to study human-robot cooperation and shared decision-making, intelligent interaction technology, and formulation of safety regulations and standards for human-robot cooperation.
- Research Center on Urban Unmanned Systems
Directed by: Dr. Yongquan Chen
The mission of this Center is to create robots and intelligent systems that are able to autonomously operate in urban complex and diverse environments. Its research interests include novel methods for perception, abstraction, mapping, path planning, manipulation and cooperation between multiple agents. This Center is well equipped with experimental and computational facilities. Students and staff work closely together to conduct research in the discovery, design, and implementation of novel applications of urban unmanned systems.