朱群喜檢視原始碼討論檢視歷史
朱群喜
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[1] 復旦大學智能複雜體系基礎理論與關鍵技術實驗室博士後，上海市超博
簡介
從事複雜網絡和深度學習的研究工作, 相關成果發表於國際頂級期刊IEEE TAC, SICON, SCL, CHAOS和人工智能頂級會議ICLR 2021, 得到同行大家的評價引用 (Edward Ott、Jürgen Kurths、曹進德、桂衛華等院士, Google Research和UC Berkeley等團隊)
教育經歷
2016.09-2021.06 復旦大學數學科學學院博士導師: 林偉教授
2012.09-2016.06 浙江師範大學數理與信息工程學院學士
工作經歷
2021.07-至今復旦大學智能複雜體系基礎理論與關鍵技術實驗室博士後
代表成果
Zhu, Qunxi, Guo, Yao, Lin, Wei [2020], Neural Delay Differential Equations, Accepted as a poster, ICLR 2021. PDF.
Zhu, Qunxi, Gao, Zuguang, Liu, Yang, and Gui, Weihua [2020], Categorization problem on controllability of Boolean control networks, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2020.3002509.
Zhu, Qunxi, Huanfei Ma, and Lin, Wei [2019], Detecting unstable periodic orbits based only on time series: When adaptive delayed feedback control meets reservoir computing, CHAOS, Focus Issue, 29(9),093125. PDF.
Zhu, Qunxi, and Lin, Wei [2019], Stabilizing Boolean networks by optimal event-triggered feedback control. Systems & Control Letters, 126,40-47. PDF.
Chiyu Pan, Yuanren Jiang, Zhu, Qunxi, and Lin, Wei [2019], Emergent dynamics of coordinated cells with time delays in a tissue, CHAOS, Fast Track, 29(3),031101.
Zhu, Qunxi, Liu, Yang, Lu, Jianquan, and Cao, Jinde [2019], Further results on the controllability of Boolean control networks. IEEE Transactions on Automatic Control, 64(1),440-442. [2]