Haotian Fu
13 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Collector
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Research topics
Artificial Intelligence
(8)
Machine Learning
(7)
Reinforcement Learning
(7)
Methods
(7)
Core AI
(6)
Deep Learning
(5)
Computer Vision
(3)
Architectures
(3)
Learning Paradigms
(3)
Analysis
(2)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Robotics
(1)
Keywords
event camera
(3)
spiking neural network
(3)
large language model
(2)
lipschitz continuity
(2)
parameterized action space
(2)
point cloud
(2)
model-based reinforcement learning
(2)
variational inference
(1)
action recognition
(1)
contrastive learning
(1)
preference optimization
(1)
motion deblurring
(1)
hierarchical bayesian
(1)
trajectory segmentation
(1)
sample efficiency
(1)
off-policy learning
(1)
visual attention
(1)
image restoration
(1)
hierarchical framework
(1)
skill discovery
(1)
Papers
ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring
ICCV 2025
Knowledge Retention in Continual Model-Based Reinforcement Learning
ICML 2025
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
CVPR 2024
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
ICML 2024
EPO: Hierarchical LLM Agents with Environment Preference Optimization
EMNLP 2024
Language-guided Skill Learning with Temporal Variational Inference
ICML 2024
Model-based Reinforcement Learning for Parameterized Action Spaces
ICML 2024
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
ICLR 2024
Meta-learning Parameterized Skills
ICML 2023
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
ICLR 2023
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
NeurIPS 2022
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
AAAI 2021
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
IJCAI 2019