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Xi Sheryl Zhang
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2020 – today
- 2024
- [c9]Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng:
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. AAAI 2024: 17600-17608 - [c8]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: 4706-4716 - [i7]Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng:
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2406.18152 (2024) - 2023
- [c7]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, Xianwei Li, 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: 1788-1807 - [c6]Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng:
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR 2023 - 2022
- [j2]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: 109836 (2022) - [c5]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: 6358-6366 - [c4]Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng:
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. CVPR 2022: 10041-10050 - [c3]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022: 10112-10121 - [c2]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: 484-501 - [i6]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR abs/2203.03106 (2022) - 2021
- [i5]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 abs/2110.08013 (2021) - [i4]Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR abs/2110.08557 (2021) - [i3]Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng:
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. CoRR abs/2112.14087 (2021) - 2020
- [j1]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: 103361 (2020)
2010 – 2019
- 2019
- [c1]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: 2487-2495 - [i2]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 abs/1904.04990 (2019) - [i1]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 abs/1905.03218 (2019)
Coauthor Index
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last updated on 2024-10-04 19:57 CEST by the dblp team
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