Mengmi Zhang
Nanyang Assistant Professor
Studies the intersection of AI and computational neuroscience, including visual attention, contextual reasoning and continual learning.
Mengmi Zhang's lab at NTU works on neuroscience & brain-computer interfaces, computational neuroscience & cognition and data management & big data. 22 papers since 2023, 14 at top venues, mostly NeurIPS and ICCV. 12 PhD students and 1 master's student.
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 64%
- PhD students
- 12
- MS students
- 1
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 9 papers2025 · T1 4
- 3 papers2024 · T1 2
- 6 papers2023 · T1 5
T1 venuesOtherVenues: NeurIPS, ICCV, CVPR, ICLR, AAAI
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces0 papers
- Computational neuroscience & cognition0 papers
- Data management & big data0 papers
- visual attention0 papers
- contextual0 papers
Paper list
From DBLP.
20264 papers
- CVPR (T1)Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines (opens in a new tab)
- ICLR (T1)Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction (opens in a new tab)
- ICLR (T1)Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation (opens in a new tab)
- IEEE Robotics Autom. Lett.Seeing Through Uncertainty: Free-Energy-Inspired Real-Time Adaptation for Robust Visual Navigation (opens in a new tab)
20259 papers
- ICIAPA Pilot Study Exploring the Alignment of Humans and CNN During Perception of Social Interactions (opens in a new tab)
- ACM MMDual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval (opens in a new tab)
- ICCVWExploring Human-Model Alignment in Visual Social Attention During Help-and-Hinder Social Interaction Classification (opens in a new tab)
- CVPR (T1)Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging (opens in a new tab)
- ICCV (T1)Make Me Happier: Evoking Emotions through Image Diffusion Models (opens in a new tab)
- NeurIPS (T1)Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Tuned Compositional Feature Replays for Efficient Stream Learning (opens in a new tab)
- ICML (T1)Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Unveiling the Tapestry: The Interplay of Generalization and Forgetting in Continual Learning (opens in a new tab)
20243 papers
- NeurIPS (T1)Adaptive Visual Scene Understanding: Incremental Scene Graph Generation (opens in a new tab)
- NeurIPS (T1)Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception (opens in a new tab)
- WACVTraining-free Object Counting with Prompts (opens in a new tab)
20236 papers
- NeurIPS (T1)Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory (opens in a new tab)
- AAAI Summer SymposiaIntegrating Curricula with Replays: Its Effects on Continual Learning (opens in a new tab)
- ICCV (T1)Label-Efficient Online Continual Object Detection in Streaming Video (opens in a new tab)
- ICCV (T1)Learning to Learn: How to Continuously Teach Humans and Machines (opens in a new tab)
- NeurIPS (T1)Object-centric Learning with Cyclic Walks between Parts and Whole (opens in a new tab)
- AAAI (T1)Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
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