Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner; Fernando Alonso-Fernandez (CoRR, 2023)

Multi-scale hybrid attention graph convolution neural network for remote sensing images super-resolution. - Guojun Liang; KinTak U; Haichang Yin; Jin Liu; Huibin Luo (Signal Process., 2023)

Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting. - Guojun Liang; KinTak U; Xin Ning 001; Prayag Tiwari; Slawomir Nowaczyk; Neeraj Kumar 001 (IEEE Trans. Veh. Technol., 2023)

Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner (CIKM, 2024)

Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner (CoRR, 2024)

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. - Guojun Liang; Najmeh Abiri; Atiye Sadat Hashemi; Jens Lundström; Stefan Byttner; Prayag Tiwari (ICASSP, 2025)

Attention assessment based on multi-view classroom behaviour recognition. - Zhoujie Zheng; Guojun Liang; Huibin Luo; Haichang Yin (IET Comput. Vis., 2025)

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner; Fernando Alonso-Fernandez (IEEE Trans. Neural Networks Learn. Syst., 2025)

Tensorized Clustered LoRA Merging for Multi-Task Interference. - Zhan Su 002; Fengran Mo; Guojun Liang; Jinghan Zhang 002; Bingbing Wen; Prayag Tiwari; Jian-Yun Nie (CoRR, 2025)