Michael Huang
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 · Silver
🗺️
Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
combinatorial optimization
(1)
wasserstein distance
(1)
stochastic optimization
(1)
model quantization
(1)
reinforcement learning
(1)
gradient-based optimization
(1)
graph learning
(1)
kl divergence
(1)
energy minimization
(1)
quantum computing
(1)
ising model
(1)
gradient-based method
(1)
surrogate loss
(1)
diffusion model
(1)
dynamical system
(1)
convergence bound
(1)
supervised fine-tuning
(1)
language model fine-tuning
(1)
decision-focused learning
(1)
langevin diffusion
(1)
Papers
Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models
ICLR 2025
Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization
ICLR 2025
Decision-Focused Learning with Directional Gradients
NeurIPS 2024
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
ICLR 2024
Proofread: Fixes All Errors with One Tap
ACL 2024
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
AAAI 2023