![]() ![]() Zoom also has no real skeuomorphic component, unless you teach a class in deep sea diving and the students look at each other through tiny portholes in their helmets. (Helpfully, though, LMSs have sort of developed a common set of functionality and even design elements, so once you know one it’s relatively easy to hop to another, even though they don’t visually mimic real-world objects. This might account for part of the reason they can seem awkward to new users and require significant support - there’s no skeuomorphic connection to the real-world counterparts of a Learning Mangement System, so there’s no choice but to dive in and learn the functions and link placement from scratch. There is no graphical image of an actual classroom on the Moodle home screen, no green binder on the Moodle gradebook. Now, for the most part, the online tools that we use at Carleton don’t observe principles of skeuomorphism at all. Particularly for older users, skeuomorphic design turned out to be a helpful tool for making computers easier to use.Īs computing became more common over the years, the thinking around inteface design turned away from skeuomorphism, since a whole generation of people grew up using screens, and the visual metaphors became outdated and anacronystic, like the idea of using a floppy disk icon for the save function. The term for objects that mimic their real world counterparts is skeuomorphism, and we all know this when we see it, even if we don’t know the term.Īpple was an early proponent of a skeuomorphic design philosophy an Apple “bookshelf” looked like a real bookshelf, the calendar looked like a real desk calendar, and all those drop shadows and beveled edges on things were meant to mimic physical objects, and make using a computer easier and more familiar. Inc.An ongoing debate in the computer interface design world is whether it’s important or useful to make things on a computer screen look like what they are supposed to represent in the real world. I'm recognized as one of the top 50 AI+X rising young scholars by Baidu. We presented our work on Gene Set Prioritization Guided by Regulatory Networks with p-values through KMM at RECOMB 2022. We presented our work on The Two Dimensions of Worst-case Training and the Integrated Effect for OOD Generalization at CVPR 2022. I gave an invited talk on A Principled Unverstanding of Robust Machine Learning Methods by RIKEN Center for Advanced Intelligence Project ![]() ![]() I gave an invited talk on Trustworthy AI-diagnosis of Alzheimer's Disease from MRI by Stanford University CNS lab We released the initial version of our software, Robustar, a GUI software that helps the user to indentify spurious features We presented our work on a unified theme of robust machine learning titled toward learning human-aligned robust models at UAI 2022. We presented our work on learning robust and invariant representations with data augmentation at KDD 2022. I started my appointment as an assistant professor at iSchool at UIUC I gave an keynote talk at TrustLog WorkShop at CIKM 2023, titled "Causality and Multiple Aspects of Trustworthy Machine Learning" I gave an talk at “Xia Peisu Young Scholars Forum” at Chinese Academy of Sciences Institute of Computing Technology, titled "Toward a Principled Understanding of Trustworthy Methods Machine Learning" We got "Best Paper Honorable Mention" at WSDM 2023 on our work Efficiently leveraging multi-level user intent for session-based recommendation via atten-mixer network I gave a Tutorial on Trustworthy ML on Biomedical Computing at IEEE International Conference on Healthcare Informatics ![]() We will give a Tutorial on Trustworthy Machine Learning at KDD 2023 ![]()
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