Efficient augmentation and relaxation learning for individualized treatment rules using observational data. - Ying-Qi Zhao; Eric B. Laber; Yang Ning; Sumona Saha; Bruce E. Sands (J. Mach. Learn. Res., 2019)

Near-optimal Individualized Treatment Recommendations. - Haomiao Meng; Ying-Qi Zhao; Haoda Fu; Xingye Qiao (J. Mach. Learn. Res., 2020)

Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score. - Muxuan Liang; Young-Geun Choi; Yang Ning; Maureen A. Smith; Ying-Qi Zhao (J. Mach. Learn. Res., 2022)

A Novel Image Copy-Move Forgery Detection Algorithm Using the Characteristics of Local Descriptors. - Jun-Liu Zhong; Ji-Xiang Yang; Hua Zeng; Ying-Qi Zhao (Int. J. Pattern Recognit. Artif. Intell., 2022)

Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks. - Jun-Liu Zhong; Yan-Fen Gan; Ji-Xiang Yang; Yu-Huan Chen; Ying-Qi Zhao; Zhi-Sheng Lv (J. Vis. Commun. Image Represent., 2024)