Observability of Boolean control networks. - Qunxi Zhu; Yang Liu 040; Jianquan Lu; Jinde Cao (Sci. China Inf. Sci., 2018)

On the Optimal Control of Boolean Control Networks. - Qunxi Zhu; Yang Liu 040; Jianquan Lu; Jinde Cao (SIAM J. Control. Optim., 2018)

Stabilizing Boolean networks by optimal event-triggered feedback control. - Qunxi Zhu; Wei Lin 003 (Syst. Control. Lett., 2019)

Further Results on the Controllability of Boolean Control Networks. - Qunxi Zhu; Yang Liu 040; Jianquan Lu; Jinde Cao (IEEE Trans. Autom. Control., 2019)

Controllability and Observability of Boolean Control Networks via Sampled-Data Control. - Qunxi Zhu; Yang Liu 040; Jianquan Lu; Jinde Cao (IEEE Trans. Control. Netw. Syst., 2019)

Neural Delay Differential Equations. - Qunxi Zhu; Yao Guo 003; Wei Lin 003 (ICLR, 2021)

Categorization Problem on Controllability of Boolean Control Networks. - Qunxi Zhu; Zuguang Gao; Yang Liu 040; Weihua Gui 001 (IEEE Trans. Autom. Control., 2021)

Neural Piecewise-Constant Delay Differential Equations. - Qunxi Zhu; Yifei Shen 004; Dongsheng Li 002; Wei Lin 003 (AAAI, 2022)

Neural Stochastic Control. - Jingdong Zhang 001; Qunxi Zhu; Wei Lin 003 (NeurIPS, 2022)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 012; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (ACL (Findings), 2023)

SYNC: Safety-Aware Neural Control for Stabilizing Stochastic Delay-Differential Equations. - Jingdong Zhang 001; Qunxi Zhu; Wei Yang; Wei Lin 003 (ICLR, 2023)

Neural Delay Differential Equations: System Reconstruction and Image Classification. - Qunxi Zhu; Yao Guo 003; Wei Lin 003 (CoRR, 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 015; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (CoRR, 2023)

Dimension Reduction of Collective Attention Networks. - Boyun Ji; Qunxi Zhu; Wei Lin 001 (Int. J. Bifurc. Chaos, 2023)

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. - Shunyu Liu 003; Jie Zhou 015; Qunxi Zhu; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (LREC/COLING, 2024)

From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems. - Xin Li; Jingdong Zhang 001; Qunxi Zhu; Chengli Zhao; Xue Zhang; Xiaojun Duan; Wei Lin 003 (ICML, 2024)

FESSNC: Fast Exponentially Stable and Safe Neural Controller. - Jingdong Zhang; Luan Yang; Qunxi Zhu; Wei Lin (ICML, 2024)

Switched Flow Matching: Eliminating Singularities via Switching ODEs. - Qunxi Zhu; Wei Lin 003 (ICML, 2024)

Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law. - Jingdong Zhang; Qunxi Zhu; Wei Lin 001 (CoRR, 2024)

Governing equation discovery of a complex system from snapshots. - Qunxi Zhu; Bolin Zhao; Jingdong Zhang; Peiyang Li; Wei Lin (CoRR, 2024)