Computer Science

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Prof Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University.
16 Dec 2023
Prof Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, and Prof Sam Kwong Tak-wu, Associate Vice-President (Strategic Research) and Chair Professor of Computational Intelligence, have been elected Fellows of the Hong Kong Academy of Engineering Sciences (HKAES) for the year 2023. This recognition highlights their exceptional contributions and expertise in the field of engineering.
Prof S. Joe Qin, President of Lingnan University and Wai Kee Kau Chair Professor of Data Science, delivers his keynote speech at the China and Higher Education Conference 2023, titled ‘Challenges and Opportunities for Liberal Arts Universities in the CHATGPT Era – A Case for Lingnan University’.
14 Dec 2023
Lingnan University and Manchester University co-hosted a two-day China and Higher Education Conference 2023 on 13-14 December, exploring the theme "New Spaces and Places in Education: Technology and Innovation in Chinese Higher Education". The conference brought together distinguished representatives from the global academic community. The keynote address by Prof S. Joe Qin, the President of Lingnan University, at this event was particularly noteworthy, adding a touch of brilliance to the entire proceedings.
Lingnan University President S. Joe Qin elected a Member of the European Academy of Sciences and Arts.
14 Dec 2023
Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, has been elected a Member of the European Academy of Sciences and Arts (EASA) in the Technical and Environmental Sciences class, making him the first scholar from Lingnan to receive this prestigious honour. Prof Klaus Mainzer, President of the European Academy of Sciences and Arts, extended his congratulations to President Qin. This recognition follows Prof Qin's election as a Fellow of the National Academy of Inventors, marking another distinguished membership in a globally renowned scientific academy.
13 Dec 2023
Researchers at Tohoku University and the University of California, Santa Barbara have shown a proof-of-concept of an energy-efficient computer compatible with current AI.
Prof Sam Kwong Tak-wu, Chair Professor of Computational Intelligence and Associate Vice-President (Strategic Research) at Lingnan University (4th on the left) takes a photo with Prof Joshua Mok Ka-ho, Vice-President and Dean of the School of Graduate Studies at Lingnan University (third on the left) and faculty members.
08 Dec 2023
The Distinguished Scholars Seminar Series organised by Lingnan University’s School of Graduate Studies presented its fourth session on 7 December “Creating a better future: harnessing AI for social and environmental responsibility” was delivered by Prof Sam Kwong Tak-wu, Chair Professor of Computational Intelligence and Associate Vice-President (Strategic Research) at Lingnan University. Prof Kwong was recently on the “Highly Cited Researchers 2023” list and in the seminar, he analysed how the rapid rise of artificial intelligence and robots in recent years will affect human work and daily life.
Lingnan University holds its opening ceremony for Lingnan@WestKowloon off-campus learning hub cum Lingnan Arts Biennale. From left: Council Treasurer Ms Katherine Cheung Marn-kay, Council Chairman Mr Andrew Yao Cho-fai, Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University, and Chairman of the Court Dr Patrick Wong Chi-kwong.
07 Dec 2023
Lingnan University held the opening ceremony for Lingnan@WestKowloon and Lingnan Arts Biennale 2023 Digital Art Exhibition “Digital Matter” at M+ Tower of West Kowloon Cultural District (WKCD) today (7 December). The unveiling ceremony of it was officiated by Council Chairman Mr Andrew Yao Cho-fai, Council Treasurer Ms Katherine Cheung Marn-kay, Chairman of the Court Dr Patrick Wong Chi-kwong, and Prof S. Joe Qin, President and Wai Kee Kau Chair Professor of Data Science of Lingnan University. They marked the launch of the Lingnan@WestKowloon by presiding over the switching-on ceremony.
Lingnan University and the Shenzhen Technology and Innovation Commission sign an agreement and announce that Lingnan University will officially become a member of the Shenzhen Virtual University Park.
15 Nov 2023
On 14 November 2023, Lingnan University and the Shenzhen Technology and Innovation Commission signed an agreement at the 2023 Assembly of Shenzhen Virtual University Park, announcing that Lingnan University will officially become a member of the Shenzhen Virtual University Park.
06 Nov 2023
They say two heads are better than one. But in the world of fish, it appears two fins are better than one. Researchers have produced a theoretical model that demonstrates the underlying mechanisms behind how fish will synchronize their fin movements to ride each other’s vortices, thereby saving energy.
03 Nov 2023
- A demonstration was held on September 21 at the Goheung Drone Center in Goheung-gun, Jeollanam-do - This anti-drone radar, developed only with domestic technology, has the world’s highest level of technology... K-defense proudly making its inroads in the world
03 Nov 2023
- Professor Park’s research team at DGIST successfully develops AI for pathological image analysis that can accurately segment overlapping cell nuclei using only rough labels - Improved efficiency in diagnosing diseases and predicting the prognosis of patients by analyzing the microenvironment of pathological images... published in MICCAI, a top journal in the field of artificial intelligence
03 Nov 2023
- Professor Sung-hoon Im’s research team at DGIST has developed automated search technology that can find an optimal deep learning network architecture by learning the relationship between tasks. - It is expected to greatly contribute to advances in AI technology, such as autonomous driving, which simultaneously performs multiple tasks, including object detection, lane recognition, and distance estimation.
03 Nov 2023
- Successfully developed federated learning AI, which can enable large-scale model learning and work without violating privacy with only a single model transfer - Collaborated with Stanford University on a model for generating high-quality brain MRI images... Published 2 papers in MICCAI
01 Nov 2023
Osaka University and NEC Corporation are jointly developing a data infrastructure called RED-ONION to accelerate open science by reducing the burden on researchers to record the research process, share research data and publish them on the data aggregation platform. They are currently engaged in the R & D of three elemental technologies: (1) Technology to integrate a data aggregation platform and data publication platform, (2) Technology to generate research process information on supercomputers, and (3) A high-speed data transmission function. These research results will be showcased at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23) scheduled to be held from November 12 to 17, 2023 in Denver, Colorado.
27 Oct 2023
- DGIST developed an image sensor technology that automatically analyzes phenomena in cardiac muscle cells, such as calcium dynamics and impulse patterns, based on multi-mode images combining holograms and calcium. - This technology can be used to examine characteristics of calcium dynamics and cellular motility depending on drugs inserted, thus being a core technology for new drug development customized for patients.
27 Oct 2023
- Professor Park’s research team at DGIST has successfully developed domain-adaptive AI specialized in medical images - Contributes to saving cost and time in developing deep learning models for multi-center medical image analysis
27 Oct 2023
- The developed image translation model can yield accurate classification results despite the use of biased data for the training of a deep learning model. - This solution is expected to be applied in various fields, such as self-driving, content creation, and medicine.
20 Oct 2023
Graphene is often referred to as a wonder material for its advantageous qualities. But its application in quantum computers, while promising, is stymied by the challenge of getting accurate measurements of quantum bit states with existing techniques. Now, Tohoku University researchers have developed design guidelines that enable radio-frequency reflectometry to achieve high-speed electrical readouts of graphene nanodevices.
16 Oct 2023
The latest ‘large language model’ artificial intelligence system, GPT-4, could aid chemistry researchers, but limitations reveal the need for improvements.
03 Oct 2023
Researchers from Osaka University have developed a data-driven AI algorithm for controlling the heating and cooling of an office building. The system does not require ambient sensors or specific knowledge of the building’s rooms. During heating operations, the system was able to achieve energy savings of up to 30%, which can represent significant reductions to cost and environmental impact.
20 Sep 2023
Scientists have revealed that the outer part of our brain (the cortex) is skilled at managing all the info it gets from the outside world thanks to special groups of nerve connections called modules, which work together but also independently.
20 Sep 2023
The physical laws of everyday water flow were established two centuries ago. However, scientists today struggle to simulate disrupted water flow virtually, e.g., when a hand or object alters its flow. A research team from Tohoku University has harnessed the power of deep reinforcement learning to replicate the flow of water when disturbed. The replication allowed for recreating water flow in real time based on only a small amount of data, opening up the possibility for virtual reality interactions involving water.
15 Sep 2023
- Research team led by Professor Sanghyun Park at DGIST developed a deep-learning technology capable of accurately classifying the brain waves of a subject using only a small amount of data - Contributes significantly to improving the utilization of deep-learning models, which require a large amount of data from subjects to classify brain waves - Research findings have been published in IEEE Transactions on Neural Networks and Learning Systems, a world-renowned academic journal in the AI field
14 Sep 2023
Researchers have explored the efficacy of combining solar panels on rooftops with electric vehicles acting as storage batteries in Paris and its surrounding areas, finding some encouraging results.
14 Sep 2023
To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers from Osaka University developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.
Professor Mingming Leng, Dean of Faculty of Business of Lingnan University (left); and Mr. Jerry Li, Chief Executive Officer of Lenovo PCCW Solutions (right), attended the MoU signing ceremony to mark their collaboration in cultivating young tech talents.
13 Sep 2023
Lingnan University’s Faculty of Business signed a Memorandum of Understanding (MoU) with Lenovo PCCW Solutions (LPS), announcing a shared commitment to cultivating the next generation of tech talents. The partnership aims to capitalize on LPS’ experience as a leading technology solutions powerhouse to provide students with additional experience in AI and digital technologies, connecting the dots from academia to technology field adoption.
City University of Hong Kong, CityU, CityUResearch
06 Sep 2023
Precisive real-time prediction of the movement of nearby vehicles or the future trajectory of pedestrians is essential for safe autonomous driving. A research team led by City University of Hong Kong (CityU) recently developed a novel AI system that improves predictive accuracy amid dense traffic and increases computational efficiency by over 85%, offering great potential for enhancing the safety of autonomous vehicles.
NIMS-OS links AI and robotics for innovative materials research
23 Aug 2023
The search for innovative materials will be greatly assisted by software that can suggest new experimental possibilities and also control the robotic systems that check them out.
Asia Research News Editors Choice
17 Aug 2023
Japanese fossil forest found, AI finds a way to people’s hearts, Language diversity and child social development & Supplement for kidney disease. Plus Submissions open for Asia Research News 2024. Read all in the latest Editor's Choice.
16 Aug 2023
Osaka Metropolitan University scientists have developed an AI model that accurately estimates a patient’s age, using chest radiographs of healthy individuals collected from multiple facilities. Furthermore, they found a positive relationship between differences in the AI-estimated and chronological ages and a variety of chronic diseases, such as hypertension, hyperuricemia, and chronic obstructive pulmonary disease. In the future, it is expected that AI biomarkers will be developed to predict life expectancy, estimate the severity of chronic diseases, and forecast surgery-related risks.
09 Aug 2023
- Student startup Quester is selected for the Tech Incubator Program for Startup (TIPS), expecting to bring technological innovation in hand-tracking gloves - DGIST rises as a leading college startup incubator by producing excellent student startups for several years

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