Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning. - Yiding Yu; Soung Chang Liew; Taotao Wang (WCNC Workshops, 2019)

Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks. - Yiding Yu; Taotao Wang; Soung Chang Liew (IEEE J. Sel. Areas Commun., 2019)

MAC Protocol for Multi-channel Heterogeneous Networks Based on Deep Reinforcement Learning. - Xiaowen Ye; Yiding Yu; Liqun Fu 001 (GLOBECOM, 2020)

The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols. - Xiaowen Ye; Yiding Yu; Liqun Fu 001 (CoRR, 2020)

Algorithms for Interference Minimization in Future Wireless Network Decomposition. - Péter L. Erdös; Tamás Róbert Mezei; Yiding Yu; Xiang Chen 010; Wei Han 004; Bo Bai 001 (CoRR, 2021)

Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks. - Yiding Yu; Soung Chang Liew; Taotao Wang (IEEE Trans. Mob. Comput., 2021)

Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks. - Xiaowen Ye; Yiding Yu; Liqun Fu 001 (IEEE Trans. Mob. Comput., 2022)

Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks With Imperfect Channels. - Yiding Yu; Soung Chang Liew; Taotao Wang (IEEE Trans. Mob. Comput., 2022)

Multi-Channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning. - Xiaowen Ye; Yiding Yu; Liqun Fu 001 (IEEE Trans. Wirel. Commun., 2022)

Deep Reinforcement Learning Based Link Adaptation Technique for LTE/NR Systems. - Xiaowen Ye; Yiding Yu; Liqun Fu 001 (IEEE Trans. Veh. Technol., 2023)

Enhanced Bandwidth Measurement and Robust Rate Adaptation for Low-Latency Live Streaming. - Jiahui Chen; Yiding Yu; Libo Wang; Ying Chen; Tianchi Huang; Lifeng Sun (INFOCOM, 2025)