Jiachen Yao
6 papers · 2023–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(3)
Application Areas
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Techniques
(2)
Mathematics & Optimization
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Keywords
physics-informed neural network
(2)
partial differential equation
(2)
neural network optimization
(2)
medical imaging
(1)
multimodal learning
(1)
medical image segmentation
(1)
deep learning
(1)
class imbalance
(1)
label noise
(1)
feature space
(1)
distribution shift
(1)
image decomposition
(1)
backdoor attack
(1)
vision-language model
(1)
noisy label
(1)
domain decomposition
(1)
long-tailed distribution
(1)
spatial correlation
(1)
scientific machine learning
(1)
out-of-distribution data
(1)
Papers
Backdooring Vision-Language Models with Out-Of-Distribution Data
ICLR 2025
Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
ICLR 2025
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
NeurIPS 2024
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
ICLR 2023
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
ICML 2023
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images
MIDL 2023