MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. - Xi Sheryl Zhang; Fengyi Tang; Hiroko H. Dodge; Jiayu Zhou; Fei Wang 001 (KDD, 2019)

Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. - Zhenxing Xu; Jingyuan Chou; Xi Sheryl Zhang; Yuan Luo 001; Tamara Isakova; Prakash Adekkanattu; Jessica S. Ancker; Guoqian Jiang; Richard C. Kiefer; Jennifer A. Pacheco; Luke V. Rasmussen; Jyotishman Pathak; et al. (CoRR, 2019)

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. - Zhenxing Xu; Jingyuan Chou; Xi Sheryl Zhang; Yuan Luo 001; Tamara Isakova; Prakash Adekkanattu; Jessica S. Ancker; Guoqian Jiang; Richard C. Kiefer; Jennifer A. Pacheco; Luke V. Rasmussen; Jyotishman Pathak; et al. (J. Biomed. Informatics, 2020)

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices. - Tianli Zhao; Xi Sheryl Zhang; Wentao Zhu; Jiaxing Wang; Ji Liu; Jian Cheng 001 (CoRR, 2021)

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. - Anda Cheng; Jiaxing Wang; Xi Sheryl Zhang; Qiang Chen 007; Peisong Wang; Jian Cheng 001 (AAAI, 2022)

Differentially Private Federated Learning with Local Regularization and Sparsification. - Anda Cheng; Peisong Wang; Xi Sheryl Zhang; Jian Cheng 001 (CVPR, 2022)

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. - Jiahao Lu; Xi Sheryl Zhang; Tianli Zhao; Xiangyu He; Jian Cheng 001 (CVPR, 2022)

Multi-granularity Pruning for Model Acceleration on Mobile Devices. - Tianli Zhao; Xi Sheryl Zhang; Wentao Zhu; Jiaxing Wang; Sen Yang; Ji Liu; Jian Cheng 001 (ECCV (11), 2022)

Harmonized system code prediction of import and export commodities based on Hybrid Convolutional Neural Network with Auxiliary Network. - Chengjie Zhou; Chao Che; Xi Sheryl Zhang; Qiang Zhang 008; Dongsheng Zhou (Knowl. Based Syst., 2022)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. - Sicong Liu; Xi Sheryl Zhang; Yushuo Li; Yifan Zhang 001; Jian Cheng 001 (ICLR, 2023)

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. - Junkai Zhang; Yifan Zhang 001; Xi Sheryl Zhang; Yifan Zang 001; Jian Cheng 001 (AAAI, 2024)

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. - Xi Sheryl Zhang; Weifan Guan; Jiahao Lu; Zhaopeng Qiu; Jian Cheng 001; Xian Wu 001; Yefeng Zheng 001 (WWW, 2024)

On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models. - Qian Sun; Hanpeng Wu; Xi Sheryl Zhang (CoRR, 2024)

Maximum Entropy Reinforcement Learning with Diffusion Policy. - Xiaoyi Dong; Jian Cheng 001; Xi Sheryl Zhang (CoRR, 2025)