Su Feng

Contact: phone (+86) 188-1069-1062; email: sufeng@pku.edu.cn

Address：Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100191

·Educational Experience                                                                                                      

• 2023.11—now      College of Future Technology, Peking University             Postdoctoral
• 2018.9—2023.7   Center for Life Sciences, Peking University                  Doctoral  
• 2015.9—2018.6    School of Mechanical and Engineering, Beihang University     Master  
• 2011.9—2015.6    School of Mechanical and Engineering, Beihang University     Bachelor

·Personal Profile                                                                                                      

I specialize in cutting-edge interdisciplinary research in the fields of neuroscience, medicine, and artificial intelligence. I have made achievements in the fields of neural circuit function analysis and intelligent disease diagnosis. So far, I have published 11 papers as the first or co-first author, including articles in Cell Reports, Protein & Cell [2], Gastric Cancer [2], and Bioinformatics. The intelligent diagnostic system for gastric cancer histological and gene subtypes has been featured as the cover article in Laboratory Investigation. Additionally, the registration method for complex deformation in multi-time neural circuit imaging has been featured as the cover article in Neuroscience. I have also obtained three patents and four software copyrights. Furthermore, I won the excellent prize in the 2019 International University Student Brain Computing Competition. I have been honored with the President's Scholarship [2], the Three Good Students [2], and the Excellent Scientific Research Award of Peking University. I have been honored with the Top Ten Graduate Students, the Excellent Graduates, the National Motivation Scholarship of Beihang University.

·Research                                                                                                       

• Develop multimodal medical image foundation models to facilitate intelligent diagnosis of gastric cancer, brain tumors, and major mental illnesses.
• Investigate the coding and decoding mechanisms of brain neural circuits using neuronal calcium imaging and reveal abnormal patterns of neural activity in psychiatric models.
• Develop novel behavioral paradigms using machine vision, deep learning, and automatic control to investigate the characteristics and mechanisms of animal group behavior and cooperative behavior.

·Publications                                                                                                    

(* First and co-first author)

1. Su Feng*, Li Jianmin*, Zhao Xinya*, Wang Beining*, Hu Yajie, Sun Yu, and Ji Jiafu. Interpretable tumor differentiation grade and microsatellite instability recognition in gastric cancer using deep learning. Laboratory Investigation. 2022. (Cover Story)
2. Su Feng*, and Tian Yonglu*. Non-rigid registration for two-photon imaging using triangulation and piecewise affine transformation. Neuroscience. 2022. 491:1–12. (Cover Story)
3. Su Feng*, Sun Yu*, Hu Yajie*, Yuan Peijiang*, Wang Xinyu, Wang Qian, Li Jianmin, and Ji Jia-Fu. Development and validation of a deep learning system for ascites cytopathology interpretation. Gastric cancer. 2020. 23(6):1041–1050.
4. Su Feng*, Yuan Peijiang*, Wang Yangzhen*, and Zhang Chen. The superior fault tolerance of artificial neural network training with a fault/noise injection- based genetic algorithm. Protein & Cell. 2016. 7(10):735–748.
5. Su Feng*, Wang Yangzhen*, Wei Mengping*, Wang Chong*, Wang Shaoli, Yang Lei, Luo Dong-Gen, Yuan Peijiang, Li Jianmin, Zhang Chen. Noninvasive tracking of every individual in unmarked mouse group using multicamera fusion and deep learning. Neuroscience Bulletin. 2022.
6. Su Feng*, Wei Mengping*, Sun Meng*, Jiang Lixin*, Dong Zhaoqi*, Wang Jue, Zhang Chen. Deep learning-based synapse counting and synaptic ultrastructure analysis of electron microscopy images. Journal of Neuroscience Methods. 2022:109750.
7. Hu Yajie*, Su Feng*, Dong Kun*, Wang Xinyu*, Zhao Xinya, Jiang Yumeng, Li Jianmin, Ji Jiafu, and Sun Yu. Deep learning system for lymph nodes quantification and metastatic cancer identification from whole-slide pathology images. Gastric cancer. 2021. 24(4):868–877.
8. Wang Yangzhen*, Su Feng*, Wang Shanshan*, Yang Chaojuan*, Tian Yonglu*, Yuan Peijiang*, Liu Xiaorong, Xiong Wei, and Zhang Chen. Efficient implementation of convolutional neural networks in the data processing of two-photon in vivo imaging. Bioinformatics. 2019. 35(17):3208–3210.
9. Tian Yonglu*, Yang Chaojuan*, Cui Yaxuan*, Su Feng*, Wang Yongjie*, Wang Yangzhen*, Yuan Peijiang, Shang Shujiang, Li Hao, Zhao Jizong, Zhu Desheng, Cao Peng, Liu Yunbo, Wang Xunli, Wang Liecheng, Zeng Wenbo, Jiang Haifei, Zhao Fei, Luo Minhua, Xiong Wei, Qiu Zilong, Li Xiang-yao, and Zhang Chen. An excitatory neural assembly encodes short-term memory in the prefrontal cortex. Cell Reports. 2018. 22(7):1734–1744.
10. Yang Chaojuan*, Tian Yonglu*, Su Feng*, Wang Yangzhen*, Liu Mengna*, Wang Hongyi*, Cui Yaxuan*, Yuan Peijiang, Li Xiangning, Anan Li, Hui Gong, Qingming Luo, Desheng Zhu, Peng Cao, Yunbo Liu, Xunli Wang, Min-hua Luo, Fuqiang Xu, Wei Xiong, Wang Liecheng, Li Xiang-yao, and Chen Zhang. Restoration of FMRP Expression in Adult V1 Neurons Rescues Visual deficits in a Mouse Model of Fragile X Syndrome. Protein & Cell. 2021.
11. Huang Gengdi, Jiang Lixin, Su Feng, Wang Huali, Zhang Chen, and Yu Xin. A novel paradigm for assessing olfactory working memory capacity in mice. Translational Psychiatry. 2020. 10(1):431.
12. Jiang Li-Xin, Huang Geng-Di, Su Feng, Wang Huali, Zhang Chen, and Yu Xin. Vortioxetine administration attenuates cognitive and synaptic deficits in 5×FAD mice. Psychopharmacology (Berl). 2020. 237(4):1233–1243.
13. Wei Mengping, Wang Meng, Wang Jue, Su Feng, Wang Yangzhen, Sun Meng, Wang Shanshan, Liu Mengna, Wang Hongyi, Lu Mingyang, Li Wei, Gong Yutian, Yang Lei, and Zhang Chen. PORCN Negatively Regulates AMPAR Function Independently of Subunit Composition and the Amino-Terminal and Carboxy-Terminal Domains of AMPARs. Frontiers in Cell and Developmental Biology. 2020. 8:829.
14. Meng Xue, Li Tao, Wang Xiao, Lv Xiaozhen, Sun Zhiyu, Zhang Jichun, Su Feng, Kang Sungmin, Kim SangYun, An Seong Soo A, Yu Xin, Zhang Chen, and Wang Huali. Association between increased levels of amyloid-β oligomers in plasma and episodic memory loss in Alzheimer’s disease. Alzheimer’s Research & Therapy. 2019. 11(1):89.
15. Wang Yangzhen, Ma Zhongtian, Li Wenzhao, Su Feng, Wang Chong, Xiong Wei, Li Changhui, Zhang Chen. Cable-free brain imaging for multiple free-moving animals with miniature wireless microscopes. J Biomed Opt. 2023;28(02).
16. Su Feng, Yuan Peijiang, Liu Yuanwei, Cao Shuangqian. Network topology optimization by turning non-scale-free networks into scale-free networks using nonlinear preferential rewiring method. International Journal of Distributed Sensor Networks. 2018;14(11).
17. Yuan Peijiang, Su Feng, Shi Zhenyun, Wang Tianmiao, and Chen Dongdong. Autonomous path planning solution for industrial robot manipulator using backpropagation algorithm. Advances in Mechanical Engineering. 2015. 7(12).