Zheyuan Hu
9 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
🏆
Grand Slam
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Keywords
out-of-distribution generalization
(2)
latent heterogeneity
(2)
partial differential equation
(2)
automatic differentiation
(2)
invariant learning
(2)
physics-informed neural network
(2)
differential operator
(2)
knowledge distillation
(1)
domain generalization
(1)
reinforcement learning
(1)
neural network optimization
(1)
deep learning
(1)
material synthesis
(1)
robot learning
(1)
sample efficiency
(1)
latent space
(1)
flow matching
(1)
generative model
(1)
replay buffer
(1)
energy minimization
(1)
Papers
M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion
AAAI 2026
MeanFlow Transformers with Representation Autoencoders
CVPR 2026
STDE++: Polynomial-Time Amortization for Linear Differential Operators
JMLR 2026
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
NeurIPS 2024
Yell At Your Robot: Improving On-the-Fly from Language Corrections
RSS 2024
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
ICLR 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
CoRL 2023
Heterogeneous Risk Minimization
ICML 2021
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
NeurIPS 2021