Events for 12-2018

Instructors/Speakers Prof. Honghai LIU University of Portsmouth UK Abstract It requires innovative technologies and theoretical foundation of sensing and analytics as increasing complexity of modern systems with humans involved actively. The state of the art in human machine interface is largely dominant by solutions that are ad-hoc and application dependent. This talk attempts to summarize challenges for sensing and analytics from the perspective of human-machine systems, and presents a computational framework aiming at anchoring behaviors to hardcoded features. Two projects will be introduced to showcase the framework: human hand skill transfer and interaction with children with autism spectrum disorders. The talk will conclude with comments on open issues and challenges in human-machine systems. Biography Honghai Liu received his Ph.D from ...

Instructors/Speakers Prof. Xiaolin WU IEEE Fellow McMaster University Canada Abstract Subitizing, or the sense of small natural numbers, is an innate cognitive function of humans and primates; it responds to visual stimuli prior to the development of any symbolic skills, language or arithmetic. Given successes of deep learning (DL) in tasks of visual intelligence and given the primitivity of number sense, a tantalizing question is whether DL can comprehend numbers and perform subitizing. But somewhat disappointingly, extensive experiments of the type of cognitive psychology demonstrate that the examples-driven black box DL cannot see through superficial variations in visual representations and distill the abstract notion of natural number, a task that children perform with high accuracy and confidence. The failure is ...

Instructors/Speakers Prof. Raymond Yiu Keung LAU Department of Information Systems City University of Hong Kong Abstract With the rise of the Social Web, it is increasingly more popular for investors to express their feelings about firms and products on online social media. Though previous studies have examined the relationship between investors’ sentiments captured in texts (e.g., online news articles) and corporate credit ratings, there is a research gap in terms of studying the relationship between investors’ emotions captured in multimodal social postings and corporate credit ratings. By drawing upon the appraisal theory and the notion of affect-as-information, this study aims to fill the current research gap by examining the influence of investors’ emotions (e.g., trust, joy, and anger) captured in ...

Instructors/Speakers Prof. Raymond WONG School of Computer Science & Engineering University of New South Wales, Sydney Australia Abstract Due to the increasing computation power and availability of big text data, text analysis research, such as text mining, natural language processing, and sentiment analysis, has drawn significant attention from both research and industry communities. This seminar presents and summarizes our recent research findings in the area of text analysis, and shares our experience in several related applications. Biography Raymond Wong is an Associate Professor at the School of Computer Science & Engineering, University of New South Wales, Sydney, Australia. From 2005-2011, he founded and led the Data Management Program at NICTA (the largest ICT organization in Australia), and was a Visiting ...