Publications

Representative Publications

Submitted to peer-reviewed journals, or in preparation

Published and/or Accepted

  • Zhu, Qunxi*, Wei Lin [2024], Switched Flow Matching: Eliminating Singularities via Switching ODEs, International Conference on Machine Learning (ICML) 2024, May 2, accepted.

  • Jingdong Zhang, Luan Yang, Zhu, Qunxi*, Wei Lin* [2024], FESSNC: Fast Exponentially Stable and Safe Neural Controller, International Conference on Machine Learning (ICML) 2024, May 2, accepted.

  • Li Xin, Zhang Jingdong, Zhu, Qunxi*, Zhao Chengli*, Zhang Xue, Duan Xiaojun, Lin Wei [2024], From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems, International Conference on Machine Learning (ICML) 2024, May 2, accepted.

  • Liu Shunyu, Zhou Jie, Zhu Qunxi, Chen Qin, Bai Qingchun, Xiao Jun, He Liang [2024], Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models, COLING 2024, Feb. 20, accepted.

  • Li Xin, Zhu, Qunxi*, Zhao Chengli*, Duan Xiaojun, Zhao Bolin, Zhang Xue, Ma Huanfei, Sun Jie, Lin Wei* [2024], Higher-order Granger reservoir computing: Simultaneously achieving scalable complex structures inference and accurate dynamics prediction, Nature Communications (featured article), 15, 2506. PDF.

  • Zhang Jingdong, Zhu, Qunxi*, Lin, Wei* [2024], Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation laws, Physical Review Research, Letter, February 20, 6(1), 012031. PDF.

  • Ji Boyun, Zhu, Qunxi*, Lin Wei [2023], Dimension reduction of collective attention networks, International Journal of Bifurcation and Chaos, vol. 33, no. 11, Art. no. 2350135.

  • Li Xin, Zhu, Qunxi*, Zhao Chengli*, Qian Xuzhe, Zhang Xue, Duan Xiaojun, Lin Wei [2023], Tipping-point detection using reservoir computing, RESEARCH, May, online version.

  • Xiong Limao, Zhou Jie, Zhu, Qunxi, Wang Xiao, Wu Yuanbin, Zhang Qi, Gui Tao, Huang Xuanjing, Ma Jin, Shan Ying [2023], A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition, ACL 2023 Findings. PDF.

  • Zhu, Qunxi*#, Li Xin#, Lin, Wei* [2023], Leveraging neural differential equations and adaptive delayed feedback to detect unstable periodic orbits based on irregularly-sampled time series, CHAOS, Fast track, Editor’s Pick, 33(3),031101. PDF.

  • Zhang Jingdong, Zhu, Qunxi*, Yang, Wei*, Lin, Wei* [2022], SYNC: Safety-aware Neural Control for Stabilizing Stochastic Delay-Differential Equations, The Eleventh International Conference on Learning Representations (ICLR 2023). PDF (Acceptance Rate: 31.8%).

  • Zhang Jingdong, Zhu, Qunxi*, Lin, Wei* [2022], Hamiltonian Neural Koopman Operator, NeurIPS 2022 Workshop DLDE. PDF.

  • Zhang Jingdong, Zhu, Qunxi*, Lin, Wei* [2022], Neural Stochastic Control, The 2022 Conference on Neural Information Processing Systems (NeurIPS). PDF (Acceptance Rate: 2,665/10,411=25.6%).

  • Zhu, Qunxi*, Shen, Yifei, Li, Dongsheng, Lin, Wei* [2021], Neural Piecewise-Constant Delay Differential Equations, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). PDF (Acceptance Rate: 1,349/9,020=15%).

  • Zhu, Qunxi*, Guo, Yao*, Lin, Wei* [2020], Neural Delay Differential Equations, ICLR 2021. PDF (Acceptance Rate: 860/2,997=28.7%).

  • 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. PDF.

  • 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.

  • 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. PDF.

  • Zhu, Qunxi, and Lin, Wei* [2019], Stabilizing Boolean networks by optimal event-triggered feedback control. Systems & Control Letters, 126,40-47. PDF.

  • Zhu, Qunxi, Liu, Yang*, Lu, Jianquan, and Cao, Jinde [2018], Controllability and observability of Boolean control networks via sampled-data control. IEEE Transactions on Control of Network Systems, DOI: 10.1109/TCNS.2018.2885273. PDF.

  • 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. PDF

  • Zhu, Qunxi, Liu, Yang*, Lu, Jianquan, and Cao, Jinde [2018], On the optimal control of Boolean control networks. SIAM Journal on Control and Optimization, 56(2),1321–1341. PDF

  • Zhu, Qunxi, Liu, Yang*, Lu, Jianquan, and Cao, Jinde [2018], Observability of Boolean control networks. Science China Information Sciences, 61(9),092201. PDF

# represents the co-first author of a paper.
* represents the corresponding author of a paper.