Research Output

Research Output

Publications

Since its establishment, the Centre has achieved significant progress in fundamental artificial intelligence research, key technology breakthroughs, and the translation of research into industrial applications. To date, the Centre has invested nearly 12 million RMB in equipment, establishing research and development facilities including an NI experimental platform, 3D printing equipment, and VR devices. The Centre has generated a wealth of representative outcomes, including publishing nearly 400 papers in international journals and conferences, filing over 40 patent applications, and securing numerous vertical and horizontal research projects. Currently, the Centre is conducting nearly 20 vertical research projects, has organised close to 100 academic exchange activities, and has trained over a thousand participants. Through nearly 40 horizontal collaborations with various small and medium-sized enterprises, the Centre has helped address their technical bottlenecks.

The Centre has incubated one company, Suzhou Huaxin Yunrui Microelectronics Technology Co., Ltd. As one of the first international research teams to conduct research on third- and fourth-generation semiconductor materials (wide-bandgap metal oxides), the Centre has achieved original, internationally advanced, and domestically leading innovations in materials research through its prior technological accumulation.

The team has also achieved remarkable results in technology R&D and industrialisation: successfully breaking through key domestic AI chip technologies and co-developing an IP core for a SAR analogue-to-digital converter (ADC) chip based on CMOS technology; innovatively launching a mixed-reality-based intelligent acupuncture training system that has gained industry recognition; and developing industrial VR applications that effectively enhance enterprise training efficiency.

 

Awards

The Centre has received several prestigious awards for scientific research, talent development, and team development. Recent highlights include:

  • Research Awards: Suzhou AI Science and Technology Awards (Natural Science Award, Teaching Achievement Award), as well as awards from the Suzhou Computer Society and the Suzhou Natural Science Excellent Paper Award.
  • Teaching and Talent Honours: Prof. Eng Gee Lim, Director of the Centre, received the Jiangsu Provincial Higher Education Teaching Achievement Award as the first recipient. Core members of the Centre have been recognised with provincial and municipal talent titles, including Jiangsu “333 Project”, “Qinglan Project”, “Double Innovation Plan”, and Suzhou Industrial Park Sci-Tech Leading Talents.

 

The XJTLU AI Open Innovation Platform

The XJTLU AI Open Innovation Platform focuses on key areas of artificial intelligence, fully leveraging the leading role of universities, industry-leading enterprises, and research institutions to effectively integrate technical and industrial chain resources and continuously output core R&D and service capabilities in artificial intelligence.

The platform focuses primarily on intelligent vision, visual computing, basic artificial intelligence, and general technology. Its main tasks are as follows:

Providing support for fundamental key technologies and common technologies.

Serving as a link for close cooperation between the upstream and downstream of the industrial chain, promoting the construction of the industrial ecological system.

Aiming to develop the open platform into a role as a co-creation space and an incubator, assisting traditional enterprises in transformation and upgrading, and supporting the growth of startups.

The XJTLU AI Open Innovation Platform mainly includes:

  1. In the past two years, we have published research results at top AI conferences such as CVPR, AAAI, and ECCV. In order to better serve the local industry, we will introduce our achievements and how to download the open-source code on this platform.
  2. We also welcome AI developers to upload and share their achievements and open-source code.
  3. Our open-source code has also been deployed on the XJTLU GPU computing cluster and is easily accessible to local enterprises through the Inspur AI Station software platform for the latest research results.