Jingling Li
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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The Questioner
(3)
Venues
Top co-authors
Research topics
Keywords
graph neural network
(3)
offline reinforcement learning
(2)
causal inference
(1)
neural network compression
(1)
representation learning
(1)
reinforcement learning
(1)
link prediction
(1)
network architecture
(1)
prompt engineering
(1)
sample complexity
(1)
theoretical analysis
(1)
tensor decomposition
(1)
markov decision process
(1)
message passing
(1)
label noise
(1)
vector quantization
(1)
dynamic programming
(1)
resource management
(1)
generalization bound
(1)
pac-bayes bound
(1)
Papers
Prompting Fairness: Integrating Causality to Debias Large Language Models
ICLR 2025
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
NeurIPS 2024
Hindsight Learning for MDPs with Exogenous Inputs
ICML 2023
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
NeurIPS 2021
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
ICLR 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
NeurIPS 2021
Understanding Generalization in Deep Learning via Tensor Methods
AISTATS 2020
What Can Neural Networks Reason About?
ICLR 2020