Biography :

Xi Sheryl Zhang is an Associate Professor at the Institute of Automation, Chinese Academy of Sciences. She obtained her Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences in July 2015. Before joining Cornell University as a Postdoc in 2017,  Xi was a Research Scientist at Huawei Noah's Ark Lab. In 2020, she joined the Institute of Automation, Chinese Academy of Sciences, as an Associate Professor. Her research mainly focuses on machine learning, computer vision, and reinforcement learning.
Xi has published nearly forty papers in international conferences such as ICLR, ICML, CVPR, AAAI, and KDD. She has led his team to win the NeurIPS competition and the Annual Outstanding Paper Award from the American Medical Informatics Association. Her work applying deep learning to brain neuroscience has received the Blue Ribbon Award from the International Parkinson and Movement Disorder Society and the Boehringer Ingelheim Fellowship.
Xi has served as a program committee member or reviewer for international journals, including TKDE, TNNLS, etc., and conferences, including NeurIPS, ICML, ICLR, SIGKDD, AAAI, etc. She has also chaired the program committee of the SIAM SDM workshop. Xi has been the Principal Investigator for projects under the Major Program of Brain Science and Brain-Like Research of China's National Key R&D Program. She has also received research funding from the CCF-Tencent Rhino Bird Fund. She has been a core researcher in projects such as the National Key R&D Program for the Next Generation Artificial Intelligence and the Natural Science Foundation of China.

Publications :

• Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng. Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. AAAI 2024.
• Sicong Liu, Xi Sheryl Zhang*, Yushuo Li, Yifan Zhang, Jian Cheng. On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. ICLR 2023. （学生一作，通讯作者）
• 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 (CCF-A).
• Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng. APRIL: Finding the Achilles' heel on privacy for vision transformers. CVPR 2022 (CCF-A). （学生一作）
• Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng. Differentially private federated learning with local regularization and sparsification. CVPR 2022 (CCF-A). （学生一作，联合指导）
• Xi Sheryl Zhang, Andy Tang, Hiroko H Dodge, Jiayu Zhou, Fei Wang. Metapred: Meta-learning for clinical risk prediction with limited patient electronic health records. ACM SIGKDD 2019 (CCF-A) (AMIA Highlighted Paper Award).
• Xi Sheryl Zhang, Jingyuan Chou, Jian Liang, Cao Xiao, Yize Zhao, Harini Sarva, Claire Henchcliffe, Fei Wang. Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study. Nature Scientific Reports 2019. (Blue Ribbon Highlights, Top 100 in Neuroscience). 
• Xi Sheryl Zhang, Jingyuan Chou, Fei Wang. Integrative analysis of patient health records and neuroimages via memory-based graph convolutional network. IEEE International Conference on Data Mining 2018. (Acceptance rate 8.86%)
• Xi Sheryl Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang. Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. AMIA Annual Symposium Proceedings 2018.
• Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Stan Zhao, Xu Min, Fei Wang. Multi-view ensemble classification for clinically actionable genetic mutations. NeurIPS 2017 (1st Prize, Top 1 out of 1386 teams).
• Inci M Baytas, Cao Xiao, Xi Sheryl Zhang, Fei Wang, Anil K Jain, Jiayu Zhou. Patient subtyping via time-aware LSTM networks. ACM SIGKDD 2017 (CCF-A).

Awards :

[1] Boehringer Ingelheim Fellowship, 康奈尔大学和Boehringer Ingelheim制药联合授予博士后会士

[2] NeurIPS Challenge：Classifying Clinically Actionable Genetic Mutations, 1386队排名第1 （第一作者）

[3] Blue Ribbon Highlights Paper Award, 国际运动障碍协会(MDS)授予（第一作者）

[4] AMIA Highlights Paper Award，美国医学信息学会授予（第一作者）