Lanqing Li

Orcid: 0009-0008-1149-0486

According to our database1, Lanqing Li authored at least 30 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Solving the non-submodular network collapse problems via Decision Transformer.
Neural Networks, 2024

Scrutinize What We Ignore: Reining Task Representation Shift In Context-Based Offline Meta Reinforcement Learning.
CoRR, 2024

An Autonomous Large Language Model Agent for Chemical Literature Data Mining.
CoRR, 2024

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning.
CoRR, 2024

2023
Dynamics Adapted Imitation Learning.
Trans. Mach. Learn. Res., 2023

Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis.
CoRR, 2023

MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction.
CoRR, 2023

Reweighted Mixup for Subpopulation Shift.
CoRR, 2023

Deploying Offline Reinforcement Learning with Human Feedback.
CoRR, 2023

Energy Saving Evaluation Method for Energy Storage Technologies Based on the Intimate Data Method of Machine Learning.
Proceedings of the 2023 International Conference on Power, 2023

Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On the Pitfall of Mixup for Uncertainty Calibration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.
CoRR, 2022

Robust Imitation Learning from Corrupted Demonstrations.
CoRR, 2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations.
CoRR, 2022

Value Penalized Q-Learning for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Local Augmentation for Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Local Augmentation for Graph Neural Networks.
CoRR, 2021

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.
CoRR, 2021

Bias-reduced multi-step hindsight experience replay.
CoRR, 2021

Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning.
CoRR, 2021

Zeus: Improving Resource Efficiency via Workload Colocation for Massive Kubernetes Clusters.
IEEE Access, 2021

FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization.
CoRR, 2020


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