2011 - 2015 Harbin Institute of Technology, B.E. in Automation

2015 - 2020 Institute of Automation, Chinese Academy of Science, Ph.D.in Pattern Recognition & Intelligent Systems

2019 - 2020 The Alan Turing Institute, Visiting student

2020.11 - Institute of Biophysics, Chinese Academy of Sciences, IBP Fellow

Our team is interested in using sophisticated machine learning and computational models, combined with large-scale data such as multi-modal neuroimaging, genome, transcriptome, etc., to try to understand brain organizations in different brain consciousness states or psychotic disorders.

1. Shangzheng Huang^#, Tongyu Zhang^#, Changsheng Dong, Yingchao Shi, Yingjie Peng, Xiya Liu, Kaixin Li, Qi Wang, Yini He, Fengqian Xiao, Xiaohan Tian, Junxing Xian, Yijuan Zou, Long Li, Bing Liu, Xiaoqun Wang* & Ang Li*. TransBrain: A computational framework for translating brain-wide phenotypes between humans and mice. Nature Methods, 2026

2. Xiaohan Tian^#, Yingjie Peng^#, Shu Liu, Golia Shafiei, Meng Wang, Yuqing Sun, Jing Lou, Junxing Xian, Ke Hu, Yini He, Qi Wang, Chaoyue Ding, Tian Gao, Shangzheng Huang, Kaixin Li, Qi Wang, Xi-Nian Zuo, Zhanjun Zhang, Ang Li* & Bing Liu*. Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations. Nature Human Behaviour, 2025

3. Changjiang Zhang^#, Yijuan Zou^#, Liangchen Zhuo^# , Xiya Liu^#, Suijuan Zhong^#, Chonghai Yin, Mayuqing Li, Mengdi Wang, Wei Wang, Xin Zhou, Bo Zeng, Changsheng Dong, Le Sun*, Zheng Wang*, Ang Li*, Qian Wu*& Xiaoqun Wang*. Integrating Optogenetic fMRI and Spatial Transcriptomics to Reveal Circuit-Specific Gene Signatures in Fronto- and Hippo-Thalamic Networks Nature Communications, 2026

4. Ang Li, Andrew Zalesky, Weihua Yue, Oliver Howes, Hao Yan, Yong Liu, Lingzhong Fan, Kirstie J Whitaker, Kaibin Xu, Guangxiang Rao, Jin Li, Shu Liu, Meng Wang, Yuqing Sun, Ming Song, Peng Li, Jun Chen, Yunchun Chen, Huaning Wang, Wenming Liu, Zhigang Li, Yongfeng Yang, Hua Guo, Ping Wan, Luxian Lv, Lin Lu, Jun Yan, Yuqing Song, Huiling Wang, Hongxing Zhang, Huawang Wu, Yuping Ning, Yuhui Du, Yuqi Cheng, Jian Xu, Xiufeng Xu, Dai Zhang, Xiaoqun Wang, Tianzi Jiang* & Bing Liu*. A neuroimaging biomarker for striatal dysfunction in schizophrenia. Nature Medicine, 2020

5. Ang Li*^#, Haiyang Liu^#, Xu Lei^#, Yini He, Qian Wu, Yan Yan, Xin Zhou, Xiaohan Tian, Yingjie Peng, Shangzheng Huang, Kaixin Li, Meng Wang, Yuqing Sun, Hao Yan, Cheng Zhang, Sheng He, Ruquan Han*, Xiaoqun Wang* & Bing Liu*. Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness. Nature Communications, 2023

6. Meng Wang, Hao Yan, Weihua Yue, Yong Liu, Lingzhong Fan, Ke Hu, Yuqing Sun, Yuxin Zhao, Jing Lou, Xiaohan Tian, Ming Song, Peng Li, Jun Chen, Yunchun Chen, Huaning Wang, Wenming Liu, Zhigang Li, Yongfeng Yang, Hua Guo, Luxian Lv, Jun Yan, Huiling Wang, Hongxing Zhang, Huawang Wu, Yuping Ning, Lin Lu, Dai Zhang, Ang Li*, Tianzi Jiang* & Bing Liu*. Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia. Nature Mental Health, 2023

7. Yini He, Jing Xiao, Ke Hu, Tian Gao, Yan Yan, Yu Yu, Lei Wang, Kaixin Li, Wenkun Lei, Kun Zhao, Changsheng Dong, Xiaohan Tian, Chaoyue Ding, Yingjie Peng, Junxing Xian, Shangzheng Huang, Xiya Liu, Yiheng Tu, Long Li, Peng Zhang, Zhanjun Zhang, Sheng He, Ang Li* & Bing Liu*. The dual nature of neuroticism: Distinct dimensions impact longevity and well-being. Science Bulletin, 2026

8. Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li*, Lei Wang*. Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition. IEEE Transactions on Cognitive and Developmental Systems, 2022

9. Shu Liu^#, Ang Li^#, Meifang Zhu, Jin Li, Bing Liu. Genetic influences on cortical myelination in the human brain. Genes, Brain and Behavior, 2019

10. Haiyang Liu^#, Ke Hu^#, Yingjie Peng, Xiaohan Tian, Meng Wang, Bo Ma, Youxuan Wu, Wanchen Sun, Bing Liu, Ang Li*, Ruquan Han*. Dynamic reconfiguration of human brain networks across altered states of consciousness. Behavioural Brain Research, 2022

11. Guangxiang Rao, Ang Li, Yong Liu, Bing Liu. A High-Powered Brain Age Prediction Model Based on Convolutional Neural Network. The IEEE International Symposium on Biomedical Imaging, 2020

（From Ang Li, April 20, 2026）