人物經歷
教育背景
2013年8月-2019年1月 清華大學自動化系,控制科學與工程,獲工學博士學位
2009年8月-2013年7月 清華大學自動化系,自動化,獲工學學士學位
工作履歷
2021年4月 清華大學自動化系,助理教授
2019年1月-2021年4月 清華大學自動化系,博士後
研究領域
計算成像
人工智慧
生物醫學工程
研究概況
國家自然科學基金委面上項目,62071271,基於光場顯微鏡的活體超分辨計算成像技術,2021/01-2024/12,54萬元,在研,主持。
中國博士後科學基金會,博士後創新人才支持計畫,BX20190173,三維超分辨計算光場顯微成像,2019/01-2020/12,60萬元,已結題,主持。
國家自然科學基金委基礎科學中心,62088102,認知計算,2021/01-2025/12,1600/6000萬元,在研,核心骨幹。
科技部科技創新2030—“新一代人工智慧”重大項目,2020AAA0105500,腦記憶環路映射的機器智慧型,2021/01-2023/12,466萬元,在研,核心骨幹。
國家自然科學基金委國家重大科研儀器設備研製專項,61327902,多維多尺度高解析度計算攝像儀器,2014/01-2018/12,8000萬元,已結題,核心骨幹。
學術成果
(1) Xinyang Li#, Guoxun Zhang#, Hui Qiao#, Feng Bao, Yue Deng, Jiamin Wu, Yangfan He, Jingping Yun, Xing Lin, Hao Xie, Haoqian Wang*, Qionghai Dai*, Unsupervised content-preserving transformation for optical microscopy, Light: Science & Applications, 2021, 10(1): 1-11. SCI, IF = 13.714
(2) Zi-Hao Bo#, Hui Qiao#, Chong Tian#, Yuchen Guo, Wuchao Li, Tiantian Liang, Dongxue Li, Dan Liao, Xianchun Zeng, Leilei Mei, Tianliang Shi, Bo Wu, Chao Huang, Lu Liu, Can Jin, Qiping Guo, Jun-Hai Yong, Feng Xu*, Tijiang Zhang*, Rongpin Wang*, Qionghai Dai*, Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network, Patterns, 2021, 2(2): 100197. SCI, Cell Press
(3) Hongman Wang#, Hui Qiao#, Jingyu Lin, Rihui Wu, Yebin Liu, Qionghai Dai*, Model Study of Transient Imaging with Multi-Frequency Time-of-Flight Sensors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. SCI, IF = 17.861
(4) Jiamin Wu#, Zhi Lu#, Dong Jiang#, Yuduo Guo, Hui Qiao, Yi Zhang, Tianyi Zhu, Yeyi Cai, Xu Zhang, Karl Zhanghao, Hao Xie, Tao Yan, Guoxun Zhang, Xiaoxu Li, Zheng Jiang, Xing Lin, Lu Fang, Bing Zhou, Peng Xi, Jingtao Fan*, Li Yu*, Qionghai Dai*, Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale, Cell, 2021. SCI, IF = 38.637
(5) Xinyang Li#, Guoxun Zhang#, Jiamin Wu, Yuanlong Zhang, Zhifeng Zhao, Xing Lin, Hui Qiao, Hao Xie, Haoqian Wang*, Lu Fang*, Qionghai Dai*, Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised learning, Nature Methods, 2021. SCI, IF = 28.547
(6) Hui Qiao, Jiamin Wu, Xiaoxu Li, Morteza H. Shoreh, Jingtao Fan, Qionghai Dai*, GPU-based deep convolutional neural network for tomographic phase microscopy with l1 fitting and regularization, Journal of Biomedical Optics, 2018, 23(6): 066003. SCI, IF = 2.785
(7) Hui Qiao, Jingyu Lin, Yebin Liu, Matthias B. Hullin, Qionghai Dai*, Resolving transient time profile in ToF imaging via log-sum sparse regularization, Optics Letters, 2015, 40(6): 918-921. SCI, IF = 3.714
(8) Handi Deng, Hui Qiao, Qionghai Dai, Cheng Ma*, Deep learning in photoacoustic imaging: A review, Journal of Biomedical Optics, 2021, 26(4): 040901. SCI, IF = 2.785
(9) Anke Zhang, Jiamin Wu, Jinli Suo, Lu Fang, Hui Qiao, David Day-Uei Li, Shian Zhang, Jintao Fan, Dalong Qi, Chengquan Pei*, Qionghai Dai*, Single-shot compressed ultrafast photography based on U-net network, Optics Express, 2020, 28(26): 39299-39310. SCI, IF = 3.669
(10) Zhi Lu, Jiamin Wu, Hui Qiao, You Zhou, Tao Yan, Zijing Zhou, Xu Zhang, Jingtao Fan, Qionghai Dai*, Phase-space deconvolution for light field microscopy, Optics Express, 2019, 27(13): 18131-18145. SCI, IF = 3.669
(11) Xiaoxu Li, Runzhao Yang, Yuchen Guo, Hui Qiao, Qionghai Dai*, 3D Single Molecule Localization Microscopy via Deep Learning, Microscopy Histopathology and Analytics, 2020. EI
(12) Xinyang Li, Zhifeng Zhao, Guoxun Zhang, Hui Qiao, Haoqian Wang, Qinghai Dai*, High-fidelity Fluorescence Image Restoration using Deep Unsupervised Learning, Microscopy Histopathology and Analytics, 2020. EI
(13) Jiangyue Xia, Jingqi Tian, Hui Qiao, Yichen Li, Jiangtao Wen, Yuxing Han*, Multimodal Video Saliency Analysis with User-biased Information, IEEE International Conference on Multimedia and Expo, 2020. EI
(14) Xiaoxu Li, Hui Qiao, Jiamin Wu, Zhi Lu, Tao Yan, Ruxin Zhang, Xu Zhang, Qionghai Dai*, DeepLFM: Deep Learning-based 3D Reconstruction for Light Field Microscopy, Novel Techniques in Microscopy, 2019. EI
(15) Chang Qiao, Hui Qiao, Jiamin Wu, Xiaoxu Li, Jingtao Fan, Qionghai Dai*, Deep Learning Based Tomographic Phase Microscopy with Blind Structured Illumination, Novel Techniques in Microscopy, 2019. EI
(16) Zhi Lu, Jiamin Wu, Hui Qiao, Tao Yan, Zijing Zhou, Xu Zhang, Jingtao Fan, Qionghai Dai*, Artifact-free 3D Deconvolution for Light Field Microscopy, Novel Techniques in Microscopy, 2019. EI
榮譽獎項
清華大學優秀博士後,2021
清華大學優秀招生教師,2019
北京市普通高等學校優秀畢業生,2019、2013
博士研究生國家獎學金,2016
清華之友-東方電氣獎學金,2015
愛國者優秀學生幹部標兵獎學金,2014
清華大學優秀學生幹部標兵,2014
清華大學招生工作“優秀招生志願者”,2014
清華大學博士研究生新生獎學金,2013
清華大學優秀畢業生,2013
清華大學優秀共產黨員,2013
清華大學綜合優秀獎學金(排名第一),2010-2012