Christopher Wang
8 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π Conference Polyglot Β· Silver
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Venues
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Research topics
Machine Learning
(5)
Deep Learning
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI
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Learning Types Β· Machine Learning
(3)
Interdisciplinary
(2)
Architectures
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Analysis
(1)
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(1)
Cognitive Science
(1)
Learning Types Β· Deep Learning
(1)
Keywords
intracranial recording
(2)
neural decoding
(2)
contrastive learning
(1)
transfer learning
(1)
object recognition
(1)
object detection
(1)
universal dependencies
(1)
neural reconstruction
(1)
neural signal processing
(1)
brain-computer interface
(1)
prior knowledge
(1)
singular value decomposition
(1)
brain decoding
(1)
distribution shift
(1)
performance evaluation
(1)
self-supervised learning
(1)
natural language
(1)
generative model
(1)
neural response
(1)
domain generalization
(1)
Papers
Operator Learning for Hyperbolic PDEs
JMLR 2025
Population Transformer: Learning Population-level Representations of Neural Activity
ICLR 2025
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
NeurIPS 2024
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
NeurIPS 2024
Revealing Vision-Language Integration in the Brain with Multimodal Networks
ICML 2024
BrainBERT: Self-supervised representation learning for intracranial recordings
ICLR 2023
Learning a natural-language to LTL executable semantic parser for grounded robotics
CoRL 2020
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
NeurIPS 2019