Furui Liu
18 papers · 2021–2026 · 7 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
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(7)
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(98)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(13)
Core AI
(12)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Learning Types Β· Deep Learning
(6)
Reinforcement Learning
(5)
Core Methods
(5)
Methods
(5)
Models
(5)
Computer Vision
(3)
Domain-Specific
(3)
Knowledge & Reasoning
(2)
Application Areas
(2)
Architectures
(2)
Keywords
causal inference
(7)
disentangled representation
(2)
exploration bonus
(2)
backdoor confounding
(2)
bisimulation metric
(2)
semi-supervised learning
(2)
structural causal model
(2)
intrinsic reward
(2)
credit assignment
(2)
evidential deep learning
(2)
multi-agent reinforcement learning
(2)
state discrepancy
(2)
reinforcement learning
(2)
autonomous driving
(1)
weakly supervised learning
(1)
medical imaging
(1)
uncertainty quantification
(1)
metric learning
(1)
policy gradient
(1)
deep learning
(1)
Papers
AIPO: Adaptive Information Guided Token-Level Reinforcement Learning for Large Language Model Reasoning
ACL 2026
DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning
AAAI 2026
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
AAAI 2024
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
AAAI 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
NeurIPS 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
ICCV 2023
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
NeurIPS 2023
Invariant Learning via Probability of Sufficient and Necessary Causes
NeurIPS 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
AAAI 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
AAAI 2023
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
CVPR 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
ICCV 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
ICML 2023
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
NeurIPS 2022
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
ICML 2022
Weakly Supervised Disentangled Generative Causal Representation Learning
JMLR 2022
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
CVPR 2021