Yucheng Fu

Orcid: 0000-0002-8257-0845

According to our database1, Yucheng Fu authored at least 21 papers between 2018 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
On Computing Total Variation Distance Between Mixtures of Product Distributions.
CoRR, May, 2026

Hard-constrained Physics-informed Neural Networks for Interface Problems.
CoRR, April, 2026

ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning.
CoRR, February, 2026

Enhancing the Security of Large Character Set CAPTCHAs Using Transferable Adversarial Examples.
IEEE Trans. Dependable Secur. Comput., 2026

On Approximating the f-Divergence Between Two Ising Models.
Proceedings of the 17th Innovations in Theoretical Computer Science Conference, 2026

2025
Triplane generator-based NeRF-GAN framework for single-view ship reconstruction.
Int. J. Digit. Earth, December, 2025

On approximating the <i>f</i>-divergence between two Ising models.
CoRR, September, 2025

DASH-T: A Lightweight Countermeasure Based on Dynamic Address Shuffling and Temporal-hiding for Kyber's PWM.
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2025

2024
A multifidelity approach to continual learning for physical systems.
Mach. Learn. Sci. Technol., 2024

Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets.
Frontiers Artif. Intell., 2024

Benchmarking Secure Sampling Protocols for Differential Privacy.
CoRR, 2024

Benchmarking Secure Sampling Protocols for Differential Privacy.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model.
CoRR, 2023

Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics.
CoRR, 2023

Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery.
CoRR, 2022

Latent Space Simulation for Carbon Capture Design Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019
Intertrochanteric fracture visualization and analysis using a map projection technique.
Medical Biol. Eng. Comput., 2019

2018
Development of Advanced Image Processing Algorithms for Bubbly Flow Measurement.
PhD thesis, 2018

BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images.
CoRR, 2018

Bone Fracture Visualization and Analysis Using Map Projection and Machine Learning Techniques.
Proceedings of the Smart Health - International Conference, 2018


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