Prof. Liang Hu

Tongji University, China

Biography: Dr Liang Hu is a professor with Tongi University and also the Chief Al Scientist with DeepBlue Academy of Sciences, China. His research interests include recommender systems, machine leaming, data science and general intelligence. He has published a number of papers in top rank interational conferences and journals, including WWW, IJCAI, AAAL, ICDM, TOIS, TKDE, TNNLS. He has been invited as the program commitee members of more than 30 top-rank Al interational conferences, including AAAI, IJCAI, ICDM, CIKM, and KDD. He also serves as the reviewer of more than ten top-rank interational journals, including ACM CSUR, IEEE TKDE, ACM TOIS, IEEE TPAMl, etc. In addition,he has presented more than ten tutorials on recommender systems and machine leaing at top-rank Al conferences including IJCAl, AAAl, SIGIR, WWW and ICDM.

Prof. Por Lip Yee, IEEE Senior Member

University of Malaya, Malaysia

Biography: Dr. Lip Yee, an esteemed Professor at the Department of System and Computer Technology within the Faculty of Computer Science and Information Technology at the Universiti Malaya, Malaysia, earned his Ph.D. from the Universiti Malaya under the mentorship of Prof. Abdullah bin Gani in 2012. He is also a senior member of the IEEE. Since then, Dr. Por has made significant contributions to academia, research, and industry.

Dr. Por's research endeavors have been at the forefront of technological advancement, particularly in the domains of security and quality assurance of information (NEC 2020: 0611) and machine learning (NEC 2020: 0613). His research interests include machine learning, support vector machines, deep learning, long-short-term memory, computer vision, AIoT, IoT, blockchain, authentication, graphic passwords, PIN-entry, cryptography, data hiding, steganography, and watermarking. His pioneering work has garnered recognition both nationally and internationally, with over 100 academic papers published in reputable journals. Notably, he was among the first few pioneers to publish in the top 1% of ISI journals, with commendable citations across platforms such as Web of Science, Scopus, and Google Scholar. Web of Science (H-index: 18, 1343 citations), Scopus (H-index: 22, 1748 citations), and Google Scholar (H-index: 29, 2777 citations) databases (last update: July 13, 2024). https://www.webofscience.com/wos/author/record/B-5309-2010

Assoc. Prof. Pavel Loskot, IEEE Senior Member

Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJUI), China

Biography: Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as the Associate Professor after being nearly 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interest focuses on problems involving statistical signal processing and importing methods from Telecommunication Engineering and Computer Science to other disciplines in order to improve the efficiency and the information power of system modeling and analysis.

Title: Univariate Learnable Functions and Applications

Abstract: Parameterized structured are used extensively in creating machine learning models for training datasets. For example, learnable activation functions are used in Kolmogorov-Arnold networks, which provides more degrees of freedom and potentially enhanced learning over traditional neural networks with fixed activation functions. In this talk, I will discuss how to define univariate parameterized functions such as polynomials and splines having the desired degree of continuity, and which can be used as learnable activation functions, empirical distribution functions, learnable one-dimensional transformations, and interpolation functions.

Assoc.Prof. Ata Jahangir Moshayedi, IEEE Senior Member

Jiangxi University of Science and Technology, China

Biography: Dr. Ata Jahangir Moshayedi, an Associate Professor at Jiangxi University of Science and Technology in China, holds a PhD in Electronic Science from Savitribai Phule Pune University in India. He is a distinguished member of IEEE and ACM, as well as a Life Member of the Instrument Society of India and a Lifetime Member of the Speed Society of India. Additionally, he contributes to the academic community as a valued member of various editorial teams for international conferences and journals. Dr. Moshayedi's academic achievements are marked by a portfolio of over 90 papers published across esteemed national and international journals and conferences. In addition to his scholarly publications, he has authored three books and is credited with two patents and nine copyrights, emblematic of his pioneering contributions to the field. His research interests include robotics and automation, sensor modelling, bio-inspired robots, mobile robot olfaction, plume tracking, embedded systems, machine-vision-based systems, virtual reality, machine vision, artificial intelligence.