Uncertainty Propagation in Neural Network Enabled Multi-Channel Optimisation. - Chen Li 067; Schyler Chengyao Sun; Saba Al-Rubaye; Antonios Tsourdos; Weisi Guo (VTC Spring, 2020)

Approximate Symbolic Explanation for Neural Network Enabled Water-Filling Power Allocation. - Schyler Chengyao Sun; Weisi Guo (VTC Spring, 2020)

Graph Layer Security: Encrypting Information via Common Networked Physics. - Zhuangkun Wei; Chengyao Sun; Bin Li 002; Weisi Guo (CoRR, 2020)

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions. - Schyler Chengyao Sun; Chen Li; Zhuangkun Wei; Antonios Tsourdos; Weisi Guo (CoRR, 2020)

Sampling and Inference of Networked Dynamics Using Log-Koopman Nonlinear Graph Fourier Transform. - Zhuangkun Wei; Bin Li 002; Chengyao Sun; Weisi Guo (IEEE Trans. Signal Process., 2020)

Trustworthy Deep Learning in 6G-Enabled Mass Autonomy: From Concept to Quality-of-Trust Key Performance Indicators. - Chen Li 067; Weisi Guo; Schyler Chengyao Sun; Saba Al-Rubaye; Antonios Tsourdos (IEEE Veh. Technol. Mag., 2020)

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract). - Schyler Chengyao Sun; Chen Li; Zhuangkun Wei; Antonios Tsourdos; Weisi Guo (AAAI, 2021)

Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes. - Schyler C. Sun; Weisi Guo (VTC Spring, 2021)

Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space. - Chen Li; Schyler C. Sun; Zhuangkun Wei; Antonios Tsourdos; Weisi Guo (CoRR, 2021)

Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. - Schyler C. Sun; Bailu Jin; Zhuangkun Wei; Weisi Guo (IJCAI, 2022)

Graph Layer Security: Encrypting Information via Common Networked Physics. - Zhuangkun Wei; Liang Wang 038; Schyler Chengyao Sun; Bin Li 002; Weisi Guo (Sensors, 2022)

Exploring Potential Causal Models for Climate-Society-Conflict Interaction. - Weisi Guo; Schyler C. Sun; Alan Wilson 001 (COMPLEXIS, 2023)

Federated Learning of Wireless Network Experience Anomalies Using Consumer Sentiment. - Weisi Guo; Bailu Jin; Schyler C. Sun; Yue Wu 003; Weijie Qi; Jie Zhang 003 (ICAIIC, 2023)

Federated Transformed Learning for a Circular, Secure, and Tiny AI. - Weisi Guo; Schyler C. Sun; Bin Li 002; Sam Blakeman (CoRR, 2023)

Scarce data driven deep learning of drones via generalized data distribution space. - Chen Li 067; Schyler C. Sun; Zhuangkun Wei; Antonios Tsourdos; Weisi Guo (Neural Comput. Appl., 2023)

Correction to: Scarce data driven deep learning of drones via generalized data distribution space. - Chen Li; Schyler C. Sun; Zhuangkun Wei; Antonios Tsourdos; Weisi Guo (Neural Comput. Appl., 2024)