Kuangdai Leng

Orcid: 0000-0002-3007-1825

According to our database1, Kuangdai Leng authored at least 9 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems.
CoRR, May, 2026

Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Deep Learning Evidence for Global Optimality of Gerver's Sofa.
Symmetry, 2024

Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning.
J. Comput. Phys., 2024

GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI.
CoRR, 2024

Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning.
CoRR, 2022


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