Xi Sheryl Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Neural Architecture

Reinforcement Learning

Differentially Private

Top Venues

Publications

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. AAAI (2024)
Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. CoRR (2024)
Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng
GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. WWW (2024)
Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Li Xianwei, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, MD Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops (2023)
Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR (2023)
Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng
Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR (2022)
Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. CVPR (2022)
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. AAAI (2022)
Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR (2022)
Chengjie Zhou, Chao Che, Xi Sheryl Zhang, Qiang Zhang, Dongsheng Zhou
Harmonized system code prediction of import and export commodities based on Hybrid Convolutional Neural Network with Auxiliary Network. Knowl. Based Syst. 256 (2022)
Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng
Multi-granularity Pruning for Model Acceleration on Mobile Devices. ECCV (11) (2022)
Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Ji Liu, Jian Cheng
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices. CoRR (2021)
Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. CoRR (2021)
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR (2021)
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. J. Biomed. Informatics 102 (2020)
Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. KDD (2019)
Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. CoRR (2019)
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. CoRR (2019)