Scholar
Mengmi Zhang
Google Scholar ID: G2sVOhcAAAAJ
Assistant professor and PI of Deep NeuroCognition Lab, Nanyang Technological University, Singapore
Citations & Impact
Citations
678
H-index
12
i10-index
12
Publications
20
Co-authors
67
list available
Publications
Resume (English only)
Academic Achievements
- Sep 2025: Qing Lin’s ICCV work on augmenting emotions with GenAI won Best Poster Award at NTU Researchers’ Day
- Sep 2025: Yong Jian Ng’s FYP project co-supervised by Dr. Qing Lin and Dr. Zhang won Global Winner Award at Global Undergraduate Awards
- Sep 2025: Paper on modality bias and conflict in AI sound localization accepted as Spotlight at NeurIPS 2025 (3% acceptance rate)
- Aug 2025: Appointed Area Chair for ICLR 2026
- Jun 2025: Paper on AI-augmented human emotions accepted at ICCV 2025
- May 2025: Paper on AI predicting errors of another AI accepted at ICML 2025
- Apr 2025: Workshop proposal accepted at ICCV 2025
- Mar 2025: Appointed Area Chair for NeurIPS 2025
- Mar 2025: PhD student Shuangpeng Han won Best Paper Award at Singapore Intelligence, Robotics & Control Symposium
- Feb 2025: Paper on value-modulated hybrid visual foraging accepted at CVPR 2025
- Feb 2025: Paper on generalization and continual learning published in TNNLS Journal
- Jan 2025: Workshop proposal accepted at CVPR 2025
- Jan 2025: Appointed Lead Guest Editor for special issue on Computational and Mathematical Models in Vision in Vision Research Journal
- Dec 2024: Appointed Area Chair for ICML 2025
Background
- Research focuses on cognitive AI in vision
- Aims to translate insights from cognitive science and neuroscience to advance AI research
- Uses AI models to deepen understanding of human cognition
- Designs psychophysics experiments to benchmark human vs. AI performance in vision tasks, identify research gaps, and bootstrap modern AI
- Develops novel computational models to evaluate hypotheses in human vision and advance understanding of biological perception
- Promotes a welcoming, respectful, and caring lab culture that values scientific integrity, teamwork, responsibility, passion, self-motivation, open-mindedness, diversity, and adaptability
