Yuhan Zhang
20 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (9) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(43)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
(2)
π
Century Club
(19)
ποΈ
Keyword Collector
(73)
Conferences
AAAI (4)
MICCAI (4)
CVPR (3)
NIPS (3)
ICCV (2)
CONLL (1)
ECCV (1)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
spiking neural network
(8)
energy efficiency
(3)
language illusion
(2)
loss function
(2)
membrane potential
(2)
grammaticality judgment
(2)
metric learning
(2)
semantic understanding
(2)
binary spike
(2)
reinforcement learning
(1)
cognitive modeling
(1)
domain generalization
(1)
temporal coding
(1)
embedding learning
(1)
contrastive learning
(1)
transformer architecture
(1)
self-attention mechanism
(1)
semantic analysis
(1)
neural network training
(1)
image classification
(1)
Papers
Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
AAAI 2026
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
MICCAI 2025
Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
MICCAI 2025
Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
CVPR 2025
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ICML 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
AAAI 2025
GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns
ECCV 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NIPS 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
AAAI 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
AAAI 2024
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images
MICCAI 2024
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
MICCAI 2024
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics
CONLL 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NIPS 2023
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics
EMNLP 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales
CVPR 2021
Circle Loss: A Unified Perspective of Pair Similarity Optimization
CVPR 2020