Haohong Lin
7 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(21)
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Hot Topic Early Bird
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Deep Learning
(4)
Models
(4)
Reinforcement Learning
(3)
Learning Types
(3)
Methods
(3)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Robotics
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Capabilities
(1)
Core Methods
(1)
Keywords
autonomous driving
(2)
offline reinforcement learning
(2)
variational inference
(2)
distribution shift
(2)
diffusion model
(2)
generative model
(1)
safe reinforcement learning
(1)
trajectory prediction
(1)
causal structure
(1)
model-based reinforcement learning
(1)
causal discovery
(1)
conditional generation
(1)
disentangled representation
(1)
state space model
(1)
policy learning
(1)
causal reasoning
(1)
variational autoencoder
(1)
control theory
(1)
autonomous vehicle
(1)
representation learning
(1)
Papers
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
ICML 2025
Causal Composition Diffusion Model for Closed-loop Traffic Generation
CVPR 2025
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
NeurIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
CoRL 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
NeurIPS 2022
Rethinking Controllable Variational Autoencoders
CVPR 2022