Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. - Chen Chen 043; Haobo Wang 001; Weiwei Liu 003; Xingyuan Zhao; Tianlei Hu; Gang Chen 001 (AAAI, 2019)

Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention. - Xuesong Niu; Xingyuan Zhao; Hu Han 001; Abhijit Das 001; Antitza Dantcheva; Shiguang Shan; Xilin Chen 001 (FG, 2019)

Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations. - Xingyuan Zhao; Satoru Ozaki; Antonios Anastasopoulos; Graham Neubig; Lori S. Levin (COLING, 2020)

Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings. - Naoki Otani; Satoru Ozaki; Xingyuan Zhao; Yucen Li; Micaelah St Johns; Lori S. Levin (EMNLP (1), 2020)

Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution. - Fang Liu; Xingyuan Zhao; Gaofei Zhang (CoRR, 2021)

Disclosure Risk from Homogeneity Attack in Differentially Private Release of Frequency Distribution. - Fang Liu 006; Xingyuan Zhao (CODASPY, 2022)

A New Bound for Privacy Loss from Bayesian Posterior Sampling. - Xingyuan Zhao; Fang Liu 006 (CODASPY, 2022)

Large Capacity Image Watermarking Model using SWT and Laplacian Pyramid. - Baowei Wang; Fan Yang; Yufeng Wu; Changyu Dai; Wenjue Huang; Xingyuan Zhao (HPCC/DSS/SmartCity/DependSys, 2023)

Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST). - Xingyuan Zhao; Fang Liu (CoRR, 2023)

Disclosure Risk From Homogeneity Attack in Differentially Privately Sanitized Frequency Distribution. - Fang Liu 006; Xingyuan Zhao (IEEE Trans. Dependable Secur. Comput., 2023)

Embedding Guide: Improving Watermarking Robustness and Imperceptibility based on Attention and Edge Information. - Baowei Wang; Xinyu Lv; Yufeng Wu; Changyu Dai; Zhengyu Hu; Xingyuan Zhao (ISCAS, 2024)