College Students' Perceptions of Cell Phone Integration in Language Learning. - Guoqiang Cui; Xin Chen; Wei Li; Shuyan Wang; Zhenhuan Yang; Cuiqing Meng (Int. J. Inf. Commun. Technol. Educ., 2012)

Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning. - Wei Shen; Zhenhuan Yang; Yiming Ying; Xiaoming Yuan (CoRR, 2019)

Online optimization for residential PV-ESS energy system scheduling. - Zhenhuan Yang; Yiming Ying; Qilong Min (Math. Found. Comput., 2019)

Stochastic Hard Thresholding Algorithms for AUC Maximization. - Zhenhuan Yang; Baojian Zhou; Yunwen Lei; Yiming Ying (ICDM, 2020)

Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss. - Zhenhuan Yang; Yunwen Lei; Siwei Lyu; Yiming Ying (AISTATS, 2021)

Stability and Generalization of Stochastic Gradient Methods for Minimax Problems. - Yunwen Lei; Zhenhuan Yang; Tianbao Yang; Yiming Ying (ICML, 2021)

Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning. - Zhenhuan Yang; Yunwen Lei; Puyu Wang; Tianbao Yang; Yiming Ying (NeurIPS, 2021)

Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma. - Shuanglong Fan; Zhiqiang Zhao; Yanbo Zhang; Hongmei Yu; ChuChu Zheng; XueQian Huang; Zhenhuan Yang; Meng Xing; Qing Lu 004; Yanhong Luo (BioData Min., 2021)

Differentially private empirical risk minimization for AUC maximization. - Puyu Wang; Zhenhuan Yang; Yunwen Lei; Yiming Ying; Hai Zhang 001 (Neurocomputing, 2021)

Applying probability calibration to ensemble methods to predict 2-year mortality in patients with DLBCL. - Shuanglong Fan; Zhiqiang Zhao; Hongmei Yu; Lei Wang; ChuChu Zheng; XueQian Huang; Zhenhuan Yang; Meng Xing; Qing Lu 004; Yanhong Luo (BMC Medical Informatics Decis. Mak., 2021)

Differentially private SGDA for minimax problems. - Zhenhuan Yang; Shu Hu 001; Yunwen Lei; Kush R. Varshney; Siwei Lyu; Yiming Ying (UAI, 2022)

Predict DLBCL patients' recurrence within two years with Gaussian mixture model cluster oversampling and multi-kernel learning. - Meng Xing; Yanbo Zhang; Hongmei Yu; Zhenhuan Yang; Xueling Li; Qiong Li; Yanlin Zhao; Zhiqiang Zhao; Yanhong Luo (Comput. Methods Programs Biomed., 2022)

The use of deep learning and AIoT technology in loan word translation. - Xiaoyan Xu; Zhenhuan Yang (Int. J. Grid Util. Comput., 2022)

Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. - Zhenhuan Yang; Yan Lok Ko; Kush R. Varshney; Yiming Ying (AAAI, 2023)

Outlier Robust Adversarial Training. - Shu Hu 001; Zhenhuan Yang; Xin Wang 045; Yiming Ying; Siwei Lyu (ACML, 2023)

Fairness-aware Differentially Private Collaborative Filtering. - Zhenhuan Yang; Yingqiang Ge; Congzhe Su; Dingxian Wang; Xiaoting Zhao; Yiming Ying (WWW (Companion Volume), 2023)

Economic policy uncertainty and green innovation based on the viewpoint of resource endowment. - Yi Xu; Zhenhuan Yang (Technol. Anal. Strateg. Manag., 2023)

Robust COVID-19 Detection in CT Images with CLIP. - Li Lin; Yamini Sri Krubha; Zhenhuan Yang; Cheng Ren; Thuc Duy Le; Irene Amerini; Xin Wang 045; Shu Hu 001 (MIPR, 2024)

Virtual point tracking method for online detection of relative wheel-rail displacement of railway vehicles. - Haoqian Li; Yong Wang; Jing Zeng; Fansong Li; Zhenhuan Yang; Guiming Mei; Yunguang Ye (Reliab. Eng. Syst. Saf., 2024)

Preserving AUC Fairness in Learning with Noisy Protected Groups. - Mingyang Wu; Li Lin; Wenbin Zhang 002; Xin Wang 030; Zhenhuan Yang; Shu Hu 001 (CoRR, 2025)