Professor Hong Yan gave a presentation on “Co-clustering Analysis of Multidimensional Big Data” in the Oxford DataSig Seminar Series. Co-clustering is a method of unsupervised machine learning. It can extract and analyze coherent patterns in large multidimensional data arrays. Professor Yan’s group has developed tensor and hyperplane-based models for co-clustering. They are granted a US patent and have published numerous papers in leading research journals.
In the seminar, Professor Yan explained co-clustering theories and computer algorithms and demonstrated their applications to genomic data analysis, protein structure prediction, drug therapeutic effect assessment, cell imaging, and facial expression recognition.
At the end of the seminar, Professor Yan and Professor Lyons announced that there would be more joint seminars between Oxford and CIMDA to encourage collaborations. Students will have the chance to take the stage and present their academic findings to the audience from around the globe.
If you missed the online seminar, you could visit the link here to see its record and presentation slides.
The DataSıg programme is organized by world-class scholars from leading universities and research institutions, such as Oxford University, The Alan Turing Institute and UCL. “It is looking at further developing fundamental, signature-based mathematical tools and introducing them to contexts where it is possible to achieve significant outcomes.” DataSıg holds online seminar series discussing topics of data science.
This summer, we are delighted to have nine talented undergraduate students from the CityU to join us as our interns. They are all specialized in different subjects with their backgrounds from the College of Science, College of Engineering, and School of Creative Media.
The two-month programme provides the interns with opportunities to explore motion capture, machine learning, computer vision, Smart City, WebGL, OpenGL, Vulkan, and other technology research through practical work and training. We appreciate their contributions to our Centre.
We can also see that the interns have gained hands-on experience by applying their school knowledge to their daily duties at the actual workplace with our Centre's supervision. We hope that they will equip themselves with a clear vision of what to expect in reality after graduation or be more prepared for future studies.
We wish them all the best in the future.
Click HERE to see the sharings of some of our interns.
Professor Liqun Qi from the Hong Kong Polytechnic University will visit our Center for two weeks.
Professor Qi, a highly cited and renowned mathematician, has published more than 360 research papers in international journals. He established the superlinear and quadratic convergence theory of the Semismooth Newton Method. He also plays a principal role in the development of reformulation methods in optimization. In 2005, Professor Qi pioneered the research on eigenvalues for higher order tensors, which now has applications in biomedical engineering, statistical data analysis, machine learning, spectral hypergraph theory, solid mechanics, quantum physics, etc. He has more than 120 papers on tensors, published in international journals. His book Tensor Analysis: Spectral Theory and Special Tensors was published in April 2017 by SIAM; another book of his Tensor Eigenvalues and Their Applications was published in 2018 by Springer.
Professor Qi will collaborate with CIMDA researchers on tensor computing and quaternion optimization and their applications to signal and image processing and computer animation.
Congratulations to the following Center members, who are successful with their applications for General Research Funding from the Hong Kong Research Grants Council:
Dr. Yanni Sun, “Strain-level Composition Analysis for RNA Viruses”
Professor Min Xie, “New Approaches for Reliability Analysis of Industrial Systems Subject to Multivariate Degradation”
Professor Hong Yan, “Matching Large Feature Sets based on Hypergraph Models and Structurally Adaptive CUR Decompositions of Compatibility Tensors”
Dr. Yixuan Yuan, “From Source-available to Source-free Unsupervised Prototypical Domain Adaptation for Lesion Segmentation”
Professor Moshe Zukerman, “Scalable Optimized Design of Multi-layered Network Slicing and Virtual Network Embedding Under Long Range Dependent Traffic and Flexi-grid Optical Transmission with Adaptive Modulation”
Hong Kong Science and Technology Parks held the Inno² Grand Opening cum Welcoming Party with its new tenants of large research centres.
Professor Hong Yan, CIMDA’s Director, and Ms. Carol Ng, Senior Administrative Officer, were invited for their participation. They were pleased to meet leading researchers, venture capitalists, business leaders, and government office representatives. It was a perfect opportunity for us to connect with them and share our passion and views about cutting-edge R&D activities, industry collaboration, knowledge transfer, and hi-technology businesses.
Our office has recently moved to the Hong Kong Science and Technology Parks. On 17 June, we held an office warming party with all the Centre members. The party kicked started with our Centre Director Professor Hong Yan’s toast, in which we marked our vision and mission together for the future of CIMDA. Professor Yan thanked all colleagues for their contributions during the renovation period, which made it possible for us to work in a beautiful new office with spectacular outside views through the windows.
Professor Yan told the attendees that “this is only our first party at the Centre, but I’m already thinking of planning a future much bigger party when we have a spin-off company listed in the stock market.” It drew much cheer and enthusiasm for all the Centre members.
Congratulations to Professor Sam Kwong for winning a major award from the Ministry of Education on his research work on “High-efficiency Computing Theory and Method for Video Coding”.
Video coding is a technology to reduce the amount of data for video storage and transmission and it has many applications in computer, communications, and internet systems. Professor Kwong and his collaborators have developed an advanced video coding method that can provide a large data compression ratio and a high video quality.
More information about this award can be found on:
Professor Hong Yan delivered an invited speech on “Artificial Intelligence: History, Current Status, and Future Opportunities and Challenges” to over 100 gifted high school students. He provided a review of the historical development of AI-related technologies, including reasoning, optimization, expert systems, multi-layer perceptrons and deep learning, and their applications to natural language processing, speech and image pattern recognition, computer vision, and decision making. Professor Yan shared his experience learning LISP and solving the blocks world problem from his student’s time. Besides, he also presented his groups’ current work on object tracking and recognition, co-clustering, tensor computing, cell imaging, and analysis of lung cancer drug resistance.
Professor Yan pointed out that current methods in AI, especially for deep learning, can be used to solve a wide range of real-world problems. However, there are also many challenges ahead. He showed an interesting example of recognizing the number “8” with different shapes and styles. It is infeasible to collect enough training samples for all these variations using the current data fitting-based classifier design methodologies. He encouraged students to gain knowledge in related areas, such as mathematics, computer science, psychology, and neuroscience, have a good understanding of basic principles, not to shy away from complex problems, go beyond existing technologies, and develop radically new ones.