Chengyuan Deng

According to our database1, Chengyuan Deng authored at least 14 papers between 2020 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The Discrepancy of Shortest Paths.
CoRR, 2024

2023
E<sup>FWI</sup>: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

Impossibility of Depth Reduction in Explainable Clustering.
CoRR, 2023

Differentially Private Range Query on Shortest Paths.
Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

E<sup>FWI</sup>: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance.
Proceedings of the Approximation, 2023

2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Adaptive ensemble of classifiers with regularization for imbalanced data classification.
Inf. Fusion, 2021

On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion.
CoRR, 2021

OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion.
CoRR, 2021

2020
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost.
Pattern Recognit. Lett., 2020

SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On the Global Self-attention Mechanism for Graph Convolutional Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


  Loading...