Hanqing Zhu
5 papers · 2021–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Science
(1)
Keywords
photonic device simulation
(2)
neural network optimization
(2)
neural operator
(2)
model compression
(2)
physics-informed neural network
(1)
partial differential equation
(1)
operator learning
(1)
edge deployment
(1)
scientific computing
(1)
model efficiency
(1)
electromagnetic simulation
(1)
photonic device
(1)
high-fidelity prediction
(1)
layer normalization
(1)
optical neural network
(1)
in situ generation
(1)
on-chip learning
(1)
subspace optimization
(1)
pre-ln transformer
(1)
photonic chip
(1)
Papers
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
NeurIPS 2024
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
NeurIPS 2023
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
NeurIPS 2022
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
NeurIPS 2021
Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation
ICCV 2021