Multi-agent Deep Reinforcement Learning Aided Computing Offloading in LEO Satellite Networks. - Junyu Lai; Huashuo Liu; Yusong Sun; Huidong Tan; Lianqiang Gan; Zhiyong Chen (ICC, 2023)

Spatiotemporal-Enhanced Recurrent Neural Network for Network Traffic Prediction. - Zhiyong Chen; Junyu Lai; Junhong Zhu; Wanyi Ma; Lianqiang Gan; Tian Xia (ISCC, 2023)

Multi-Agent Deep Reinforcement Learning Based Computation Offloading Approach for LEO Satellite Broadband Networks. - Junyu Lai; Huashuo Liu; Yusong Sun; Junhong Zhu; Wanyi Ma; Lianqiang Gan (ISCC, 2023)

Deep Learning Based Traffic Prediction Method for Digital Twin Network. - Junyu Lai; Zhiyong Chen; Junhong Zhu; Wanyi Ma; Lianqiang Gan; Siyu Xie; Gun Li (Cogn. Comput., 2023)

Exploring Spatial Frequency Information for Enhanced Video Prediction Quality. - Junyu Lai; Lianqiang Gan; Junhong Zhu; Huashuo Liu; Lianli Gao (IEEE Trans. Multim., 2024)

Enabling High-Throughput Routing for LEO Satellite Broadband Networks: A Flow-Centric Deep Reinforcement Learning Approach. - Huashuo Liu; Junyu Lai; Junhong Zhu; Lianqiang Gan; Zheng Chang 001 (IEEE Internet Things J., 2024)

DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction. - Lianqiang Gan; Junyu Lai; Jingze Ju; Lianli Gao; Yi Bin (AAAI, 2025)

Towards faster yet accurate video prediction for resource-constrained platforms. - Junhong Zhu; Junyu Lai; Lianqiang Gan; Huashuo Liu; Lianli Gao (Neurocomputing, 2025)