Articles with public access mandates - Lanqing LiLearn more
Available somewhere: 10
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
Mandates: US National Science Foundation
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: US Department of Energy
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
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Mandates: US Department of Energy
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
Mandates: National Natural Science Foundation of China
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
L Zeng, L Li#, Z Gao, P Zhao, J Li#
AAAI 2023, 2022
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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