Lanqing Li
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (7)
🌍
Conference Polyglot
(5)
🏆
Grand Slam
🗃️
Keyword Collector
(66)
💎
Century Club
(11)
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
Conferences
AAAI (4)
CVPR (2)
ICLR (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
graph neural network
(3)
mixup training
(2)
imbalanced classification
(2)
domain generalization
(2)
representation learning
(2)
loss landscape
(1)
sharpness-aware minimization
(1)
domain adaptation
(1)
subpopulation shift
(1)
data augmentation
(1)
offline reinforcement learning
(1)
deep learning
(1)
uncertainty quantification
(1)
label smoothing
(1)
markov decision process
(1)
class imbalance
(1)
optimal control
(1)
mutual information
(1)
importance weighting
(1)
online clustering
(1)
Papers
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
ICLR 2025
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
NIPS 2024
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
AAAI 2023
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
AAAI 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
CVPR 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
On the Pitfall of Mixup for Uncertainty Calibration
CVPR 2023
Local Augmentation for Graph Neural Networks
ICML 2022
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
AAAI 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NIPS 2022
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
ICLR 2021