ES-Kit: An object-oriented distributed system. - Arunodaya Chatterjee; Arjun Khanna; Ying Hung (Concurr. Pract. Exp., 1991)

Design and Analysis of Computer Experiments With Branching and Nested Factors. - Ying Hung; V. Roshan Joseph; Shreyes N. Melkote (Technometrics, 2009)

An HMM-based algorithm for evaluating rates of receptor-ligand binding kinetics from thermal fluctuation data. - Lining Ju; Yijie Dylan Wang; Ying Hung; Chien-Fu Jeff Wu; Cheng Zhu (Bioinform., 2013)

Optimisation of composite manufacturing processes with computer experiments and Kriging methods. - Kan Wang 001; Chuck Zhang; Jack Su; Ben Wang 001; Ying Hung (Int. J. Comput. Integr. Manuf., 2013)

Optimizing Latin hypercube designs by particle swarm. - Ray-Bing Chen; Dai-Ni Hsieh; Ying Hung; Weichung Wang (Stat. Comput., 2013)

Discrete particle swarm optimization for constructing uniform design on irregular regions. - Ray-Bing Chen; Yen-Wen Hsu; Ying Hung; Weichung Wang (Comput. Stat. Data Anal., 2014)

Analysis of Computer Experiments With Functional Response. - Ying Hung; V. Roshan Joseph; Shreyes N. Melkote (Technometrics, 2015)

Robust Kriging models in computer experiments. - Taejin Park; Bong-Jin Yum; Ying Hung; Young-Seon Jeong 001; Myong K. Jeong (J. Oper. Res. Soc., 2016)

A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos. - Chung-Ching Lin; Ying Hung (CVPR, 2018)

Video Instance Segmentation Tracking With a Modified VAE Architecture. - Chung-Ching Lin; Ying Hung; Rogério Feris; Linglin He (CVPR, 2020)

CLAIMED: A CLAssification-Incorporated Minimum Energy Design to Explore a Multivariate Response Surface With Feasibility Constraints. - Mert Y. Sengul; Yao Song; Linglin He; Adri C. T. van Duin; Ying Hung; Tirthankar Dasgupta (IEEE Trans Autom. Sci. Eng., 2022)

Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees. - Ewerton R. Vieira; Aravind Sivaramakrishnan; Yao Song; Edgar Granados; Marcio Gameiro; Konstantin Mischaikow; Ying Hung; Kostas E. Bekris (ICRA, 2023)

Indicator-based Bayesian variable selection for Gaussian process models in computer experiments. - Fan Zhang; Ray-Bing Chen; Ying Hung; Xinwei Deng (Comput. Stat. Data Anal., 2023)

A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization. - Jiazhao Zhang; Ying Hung; Chung-Ching Lin; Zicheng Liu 001 (CoRR, 2024)

Identifying Nonlinear Dynamics with High Confidence from Sparse Data. - Bogdan Batko; Marcio Gameiro; Ying Hung; William D. Kalies; Konstantin Mischaikow; Ewerton R. Vieira (SIAM J. Appl. Dyn. Syst., 2024)

Advancing Inverse Scattering with Surrogate Modeling and Bayesian Inference for Functional Inputs. - Chih-Li Sung; Yao Song; Ying Hung (SIAM/ASA J. Uncertain. Quantification, 2025)