Estimating dynamical dimensions from noisy observations. - Jack Murdoch Moore; Michael Small (Inf. Sci., 2018)

Review mechanism promotes knowledge transmission in complex networks. - Haiying Wang 006; Jun Wang 059; Michael Small; Jack Murdoch Moore (Appl. Math. Comput., 2019)

Detecting and Predicting Tipping Points. - Xiaoyi Peng; Michael Small; Yi Zhao 007; Jack Murdoch Moore (Int. J. Bifurc. Chaos, 2019)

The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks. - Haiying Wang 006; Jack Murdoch Moore; Jun Wang 059; Michael Small (Appl. Math. Comput., 2021)

Epidemic dynamics on higher-dimensional small world networks. - Haiying Wang 006; Jack Murdoch Moore; Michael Small; Jun Wang 059; Huijie Yang; Changgui Gu (Appl. Math. Comput., 2022)

Causal networks reveal the response of Chinese stocks to modern crises. - Haiying Wang 006; Ziyan Du; Jack Murdoch Moore; Huijie Yang; Changgui Gu (Inf. Sci., 2022)

Inferring Patient Zero on Temporal Networks via Graph Neural Networks. - Xiaolei Ru; Jack Murdoch Moore; Xinya Zhang; Yeting Zeng; Gang Yan (AAAI, 2023)

Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect. - Xiaolei Ru; Xinya Zhang; Zijia Liu; Jack Murdoch Moore; Gang Yan (NeurIPS, 2023)

Global stability and optimal control of epidemics in heterogeneously structured populations exhibiting adaptive behavior. - Lixiang Liu; Shanshan Chen; Michael Small; Jack Murdoch Moore; Keke Shang 001 (Commun. Nonlinear Sci. Numer. Simul., 2023)

Maintaining Adversarial Robustness in Continuous Learning. - Xiaolei Ru; Xiaowei Cao; Zijia Liu; Jack Murdoch Moore; Xinya Zhang; Xia Zhu; Wenjia Wei; Gang Yan (CoRR, 2024)

Mixup in Latent Geometry for Graph Classification. - Zijia Liu; Xiaolei Ru; Jack Murdoch Moore; Xinya Zhang; Gang Yan (IEEE Trans. Netw. Sci. Eng., 2024)