Academic Profile : Faculty

Assoc Prof Xu Hong_1.jpg picture
Assoc Prof Xu Hong
Associate Chair (Research), School of Social Sciences
Associate Professor, School of Social Sciences
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Dr. Hong XU is an associate professor of Psychology in the School of Social Sciences. She received her B.S. in Psychology from Peking University, M.S. in Statistics and Ph.D. in Psychology from University of Chicago. Her research interests include neural mechanisms of visual perception and its applications in real life and human-centric AI systems.
Dr. Hong XU's area of expertise is in vision perception and neuroscience. She studies visual perception through a multidisplinary approach: psychophysics, electrophysiology (EEG), eye tracking, virtual reality (VR), and computational modeling. In particular, she studies face perception and self-motion heading perception and wayfinding by asking the following questions:

1.Visual Perception
How do we visually perceive objects (e.g., signage, faces) in daily activities (e.g., walking, cycling and driving) and how is the visual perception affected by our previous visual experience (e.g., adaptation and implicit learning)?

2. Human-computer interaction
What is the basis of effective design in visual displays? How does our visual system analyze large amount of data/information in a short period of time? What kind of optimization process is involved? Furthermore, what is the role of attention and eye movement in this process?

3. Computational modeling
How to model the hierarchical information processing system in neural networks? How is visual information transferred from low levels to high levels? How does the feedback system work synergistically with the feedforward system?
  • Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) (Alibaba)
  • Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) (IAF-ICP)
  • Bilingualism and Autism: Investigating Language and Social Communication Outcomes Through Intervention in Listening and Oral Skills
  • Designing Inclusiveness: a user-centric mobile application designed for visually impaired people
  • Developing and Validating the Climate Change Adaptation Scale (CCAS)
  • Evaluating, Detecting, and Mitigating the Risks of Diffusion Models for Fair, Robust, and Toxic Content-Free Generative AI
  • Harnessing data in the Metaverse for public good: Behavioural studies in planning future electric and autonomous mobility system
  • HOW READY ARE WE TO TRUST USING AI IN MEDICINE? A Study on Compliance to Governance, Engagement of Stakeholders and Integration into Medical System
  • Human digital twin prototype of industrial worker under heat exposure in climate change and post-pandemic era.
  • Mechanisms of visual perception and its application in artificial intelligence
  • Project: 006-Sustainability Standards and Metrics (Alibaba)
  • Project: 006-Sustainability Standards and Metrics (IAF-ICP)
  • Research Into Interacting With Artificially Intelligent Beings Of The Future With particular Focus On Autonomous Vehicles In An Urban Setting
  • SSS - Cat8 EOM
  • TrustFUL: Trustworthy Federated Ubiquitous Learning
  • TrustFUL: Trustworthy Federated Ubiquitous Learning (WeBank)
  • Visual Perception and Action in Motion