Longfei Li
20 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(45)
π
Grand Slam
π€
Dynamic Duo
(15)
ποΈ
Keyword Collector
(92)
β‘
Prolific Year
(8)
π
Century Club
(20)
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
NIPS (7)
AAAI (6)
ICLR (2)
ICML (2)
IJCAI (2)
ACML (1)
Top co-authors
Keywords
causal inference
(7)
heterogeneous treatment effect
(3)
graph neural network
(3)
domain adaptation
(2)
dynamic regret
(2)
reinforcement learning
(2)
recommender system
(2)
unmeasured confounding
(2)
adversarial reward
(2)
tree-based method
(2)
linear mixture mdp
(2)
transductive learning
(1)
causal reasoning
(1)
function approximation
(1)
multi-task learning
(1)
transfer learning
(1)
interpretable machine learning
(1)
domain generalization
(1)
contrastive learning
(1)
knowledge distillation
(1)
Papers
Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization
ICLR 2025
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
AAAI 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
AAAI 2024
Ο-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
AAAI 2024
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
AAAI 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
NIPS 2024
Collaborative Refining for Learning from Inaccurate Labels
NIPS 2024
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
ICML 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
NIPS 2024
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering
IJCAI 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
NIPS 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
NIPS 2023
Dynamic Regret of Adversarial Linear Mixture MDPs
NIPS 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
ICML 2023
SAIL: Self-Augmented Graph Contrastive Learning
AAAI 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
NIPS 2022
Robust Direct Learning for Causal Data Fusion
ACML 2022
Cross-Domain Recommendation: Challenges, Progress, and Prospects
IJCAI 2021
Knowledge Consistency between Neural Networks and Beyond
ICLR 2020
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
AAAI 2019