Lanqing Li
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Local augmentation for graph neural networks
S Liu, R Ying#, H Dong, L Li#, T Xu, Y Rong, P Zhao, J Huang, D Wu#
ICML 2022 - International Conference on Machine Learning, 14054-14072, 2022
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery–a Focus on Affinity Prediction Problems with Noise Annotations
Y Ji, L Zhang, J Wu, B Wu, L Li, LK Huang, T Xu, Y Rong, J Ren, D Xue, ...
AAAI 2023 - Proceedings of the AAAI Conference on Artificial Intelligence 37 …, 2023
Focal: Efficient fully-offline meta-reinforcement learning via distance metric learning and behavior regularization
L Li, R Yang, D Luo
ICLR 2021 - International Conference on Learning Representations, 2021, 2021
Theory of self-resonance after inflation. I. Adiabatic and isocurvature Goldstone modes
MP Hertzberg, J Karouby, WG Spitzer, JC Becerra, L Li
Physical Review D 90 (12), 123528, 2014
Hierarchical graph learning for protein–protein interaction
Z Gao, C Jiang, J Zhang, X Jiang, L Li, P Zhao, H Yang, Y Huang, J Li
Nature Communications 14 (1), 1093, 2023
Theory of self-resonance after inflation. II. Quantum mechanics and particle-antiparticle asymmetry
MP Hertzberg, J Karouby, WG Spitzer, JC Becerra, L Li
Physical Review D 90 (12), 123529, 2014
Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup
Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, B Wu, C Zhang, J Yao
NeurIPS 2022 - Advances in Neural Information Processing Systems, 2022, 2022
Value penalized Q-learning for recommender systems
C Gao, K Xu, K Zhou, L Li, X Wang, B Yuan, P Zhao
SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on …, 2022
Drug repositioning in drug discovery of T2DM and repositioning potential of antidiabetic agents
S Zhu, Q Bai, L Li, T Xu
Computational and Structural Biotechnology Journal 20, 2839-2847, 2022
igrow: A smart agriculture solution to autonomous greenhouse control
X Cao, Y Yao, L Li, W Zhang, Z An, Z Zhang, L Xiao, S Guo, X Cao, M Wu, ...
AAAI 2022 - Proceedings of the AAAI Conference on Artificial Intelligence 36 …, 2022
Provably improved context-based offline meta-rl with attention and contrastive learning
L Li, Y Huang, M Chen, S Luo, D Luo, J Huang
arXiv preprint arXiv:2102.10774, 2021
A simulator-based planning framework for optimizing autonomous greenhouse control strategy
Z An, X Cao, Y Yao, W Zhang, L Li, Y Wang, S Guo, D Luo
ICAPS 2021 - Proceedings of the International Conference on Automated …, 2021
Robust imitation learning from corrupted demonstrations
L Liu, Z Tang, L Li, D Luo
arXiv preprint arXiv:2201.12594, 2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
L Zeng, L Li#, Z Gao, P Zhao, J Li#
AAAI 2023, 2022
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning
R Yang, J Lyu, Y Yang, J Yan, F Luo, D Luo, L Li, X Li
arXiv preprint arXiv:2102.12962, 2021
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
Z Zhou*, L Li*, P Zhao, PA Heng, W Gong
CVPR 2023 - Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023
Imdrug: A benchmark for deep imbalanced learning in ai-aided drug discovery
L Li, L Zeng, Z Gao, S Yuan, Y Bian, B Wu, H Zhang, Y Yu, C Lu, Z Zhou, ...
arXiv preprint arXiv:2209.07921, 2022
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
L Zeng, L Li#, J Li#
arXiv preprint arXiv:2305.01912, 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Z Gao, Y Niu, J Cheng, J Tang, T Xu, P Zhao, L Li#, F Tsung, J Li#
AAAI 2023, 2022
On the Pitfall of Mixup for Uncertainty Calibration
DB Wang, L Li#, P Zhao, PA Heng, ML Zhang#
CVPR 2023 - Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023
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