Virginia de Sa
Professor
Studies how humans and machines learn to perceive, including multimodal and self-supervised learning and brain-computer interfaces.
Virginia de Sa's lab at UCSD works on generative & foundation models, computational neuroscience & cognition and neuroscience & brain-computer interfaces. 19 papers since 2023, 2 at top venues, mostly NeurIPS. 23 alumni, most often to Apple and Adobe. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 11%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 2 · collecting
- 7 papers2025 · T1 0
- 2 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: NeurIPS
Research focuspaper titles that use each topic's words
- Generative & foundation models2 papers
- Neuroscience & brain-computer interfaces2 papers
- Computational neuroscience & cognition0 papers
- self-supervised learning0 papers
- perceive0 papers
Paper list
From the lab homepage.
20268 papers
- Sensors 26(4), 1153.Comparing Simultaneous Scalp EEG Recordings from the OpenBCI Cyton and Brain Products BrainAmp
- NeurIPS (T1)Cosine is Nearly Human: The Reproducibility Ceiling of Perceptual Similarity
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).Cross-Subject Eye Movement Regression Using Generic Foam Ear-EOG
- Scientific ReportsDeep learning for time-series segmentation of mechanical ventilator waveforms
- ACII 26.Facial-Expression-Aware Prompting for Empathetic LLM Tutoring
- CVPR WorkshopFrom Detector Evidence to Language: Explainable Deepfake Video Detection
- NeurIPS (T1)Handwriting decoding as a challenging motor task for EEG Foundation Models
- ACII 26.One-Frame Calibration with Siamese Network in Facial Action Unit Recognition
20257 papers
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).Brain-Body Coupling in Listening to Metronomic Sounds and Music
- Proceedings of the Annual International Conference on Neural Engineering (NER). San Diego, CA. Nov 11-14, .EEG Blink Artifacts Can Identify Read Music in Listening and Imagery
- Foundation Models for the Brain and Body NeurIPS Workshop.Efficient Calibration in Motor Imagery BCIs under Data Constraints via Subject Transfer
- Proceedings of the IEEE International Conference on Development and Learning, Czech Technical University in Prague, September 16-19Explore-Exploit Behaviors During Rat-Robot Interactions Optimize Social and Spatial Security
- Under revision for JMIR Medical Education (JME).Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Perspectives from the AI-READI Bootcamp
- Foundation Models for the Brain and Body NeurIPS Workshop.Handwriting decoding as a challenging Motor Imagery task for EEG Foundation Models
- In R. Jake Cohen (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1446-1453). Orlando, FL, USA: Association for the Advancement of Computing in Education (AACE). Retrieved April 11, fromResearch Experience for Teachers in the Interdisciplinary AI - Report from the Summer AI Research Experience 2024
20242 papers
- Nature Metabolism 6, 2210-2212AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24). pdfDevelopment and Characterization of Zinc Dry Electrodes for Wearable Electrophysiology
20232 papers
- To appear NeurIPS . pdf Open Review LinkAdaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
- KDD '23, pdfAnalyzing Biases in AU Activation Estimation Toward Fairer Facial Expression Recognition
Where alumni went23 listed, 71% to industry
Industry 5Academia 2
Most often to
- Apple
- Adobe
- Amazon
Also to
- Carnegie Mellon University
- Monash University
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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- Single round
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- GRE
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- English
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Not yet confirmed for this intake.
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