Bone Fracture Visualization and Analysis Using Map Projection and Machine Learning Techniques. - Yucheng Fu; Rong Liu; Yang Liu 202; Jiawei Lu (ICSH, 2018)

BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images. - Yucheng Fu; Yang Liu 202 (CoRR, 2018)

Intertrochanteric fracture visualization and analysis using a map projection technique. - Yucheng Fu; Rong Liu; Yang Liu 202; Jiawei Lu (Medical Biol. Eng. Comput., 2019)

Latent Space Simulation for Carbon Capture Design Optimization. - Brian R. Bartoldson; Rui Wang; Yucheng Fu; David P. Widemann; Sam Nguyen; Jie Bao; Zhijie Xu; Brenda Ng (AAAI, 2022)

Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery. - QiZhi He; Yucheng Fu; Panos Stinis; Alexandre M. Tartakovsky (CoRR, 2022)

Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples. - Yucheng Fu; Guoheng Sun; Han Yang; Juntian Huang; Haizhou Wang 001 (IJCNN, 2023)

Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics. - Brian R. Bartoldson; Yeping Hu; Amar Saini; Jose Cadena; Yucheng Fu; Jie Bao; Zhijie Xu; Brenda Ng; Phan Nguyen (CoRR, 2023)

A multifidelity approach to continual learning for physical systems. - Amanda A. Howard; Yucheng Fu; Panos Stinis (CoRR, 2023)

Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model. - Wenqian Chen; Yucheng Fu; Panos Stinis (CoRR, 2023)

Benchmarking Secure Sampling Protocols for Differential Privacy. - Yucheng Fu; Tianhao Wang 001 (CCS, 2024)

Benchmarking Secure Sampling Protocols for Differential Privacy. - Yucheng Fu; Tianhao Wang (CoRR, 2024)

Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets. - Bo Lei; Yucheng Fu; Jose Cadena; Amar Saini; Yeping Hu; Jie Bao; Zhijie Xu; Brenda Ng; Phan Nguyen (Frontiers Artif. Intell., 2024)