Liezhong Ge
Cognitive Neuroscience · 2005–2021
A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 38 citations into it; #8,626 of 10,852 by trust here, #4,022 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #20,176 of 21,575 by trust here, #13,269 by citations
- Experimental and Cognitive Psychology — 26 citations into it; #7,594 of 9,731 by trust here, #2,721 by citations
- Artificial Intelligence — 16 citations into it
- Safety Research — 15 citations into it
- Human-Computer Interaction — 11 citations into it
- Sociology and Political Science — 11 citations into it
- Developmental and Educational Psychology — 8 citations into it
Whom Liezhong Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel T. Levin
- Emma Jaquet
- Shyam Sundar
- S. Sangrigoli
- Siegfried L. Sporer
- Erik Hollnagel
- Filippo Santoni de Sio
Who trusts Liezhong Ge overall
Papers from Liezhong Ge's perspective
Ordered by how strongly the researchers Liezhong Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- Thirty years of investigating the own-race bias in memory for faces: A meta-analytic review
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Human-level control through deep reinforcement learning
- Principles of Explanatory Debugging to Personalize Interactive Machine Learning
- Research Priorities for Robust and Beneficial Artificial Intelligence
- Race-related variation of facial features: Anthropometric data I
- Cortical specialisation for face processing: face-sensitive event-related potential components in 3- and 12-month-old infants (NeuroImage)
- Plasticity of face processing in infancy.
- Bubbles: a technique to reveal the use of information in recognition tasks. (Vision Research)
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Their papers
- Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI (2021) — 300 citations
- Three-month-olds, but not newborns, prefer own-race faces. (2005) — 606 citations
- Facial Contrast Is a Cross-Cultural Cue for Perceiving Age (2017) — 41 citations
- Development of the other-race effect during infancy: Evidence toward universality? (2009) — 310 citations
- Two Faces of the Other-Race Effect: Recognition and Categorisation of Caucasian and Chinese Faces (2009) — 89 citations
- The Other-Race Effect Develops During Infancy (2007) — 688 citations