Applying Deep Reinforcement Learning to Improve Throughput and Reduce Collision Rate in IEEE 802.11 Networks. - Chih-Heng Ke; Lia Astuti (KSII Trans. Internet Inf. Syst., 2022)

Multi-Trajectory Prediction of Pedestrian Based on Deep Neural Network Architecture. - Lia Astuti; Yu-Chen Lin 002; Wen-Hui Chen (ICKII, 2023)

Applying multi-agent deep reinforcement learning for contention window optimization to enhance wireless network performance. - Chih-Heng Ke; Lia Astuti (ICT Express, 2023)

Dual-Attention Mechanism for Monocular Depth Estimation. - Chui-Hong Chiu; Lia Astuti; Yu-Chen Lin 002; Ming-Ku Hung (ICCAE, 2024)

Social-aware trajectory prediction using goal-directed attention networks with egocentric vision. - Lia Astuti; Chui-Hong Chiu; Yu-Chen Lin 002; Ming-Chih Lin (PeerJ Comput. Sci., 2025)

Predicting Vulnerable Road User Behavior With Transformer-Based Gumbel Distribution Networks. - Lia Astuti; Yu-Chen Lin 002; Chui-Hong Chiu; Wen-Hui Chen (IEEE Trans Autom. Sci. Eng., 2025)