On Stalling Minimization of Adaptive Bitrate Video Services in Edge Caching Systems. - Anh-Tien Tran; The-Vi Nguyen; Van-Dat Tuong; Nhu-Ngoc Dao; Sungrae Cho (ICOIN, 2020)

GPU-specific Task Offloading in the Mobile Edge Computing Network. - Namkyu Kim; Yunseong Lee; Chunghyun Lee; The-Vi Nguyen; Van-Dat Tuong; Sungrae Cho (ICTC, 2020)

Delay-Sensitive Task Offloading for Internet of Things in Nonorthogonal Multiple Access MEC Networks. - Van-Dat Tuong; Thanh Phung Truong; Anh-Tien Tran; Arooj Masood; Demeke Shumeye Lakew; Chunghyun Lee; Yunseong Lee; Sungrae Cho (ICTC, 2020)

User-Preference-based Proactive Caching in Edge Networks. - The-Vi Nguyen; Van-Dat Tuong; Anh-Tien Tran; Thanh Phung Truong; Demeke Shumeye Lakew; Chunghyun Lee; Yunseong Lee; Sungrae Cho (ICOIN, 2021)

Hit Ratio and Latency Optimization for Caching Systems: A Survey. - Anh-Tien Tran; Demeke Shumeye Lakew; The-Vi Nguyen; Van-Dat Tuong; Thanh Phung Truong; Nhu-Ngoc Dao; Sungrae Cho (ICOIN, 2021)

Partial Computation Offloading in NOMA-Assisted Mobile-Edge Computing Systems Using Deep Reinforcement Learning. - Van-Dat Tuong; Thanh Phung Truong; The-Vi Nguyen; Wonjong Noh; Sungrae Cho (IEEE Internet Things J., 2021)

Deep Reinforcement Learning-Based Hierarchical Time Division Duplexing Control for Dense Wireless and Mobile Networks. - Van-Dat Tuong; Nhu-Ngoc Dao; Wonjong Noh; Sungrae Cho (IEEE Trans. Wirel. Commun., 2021)

Dynamic Time Division Duplexing for Green Internet of Things. - Van-Dat Tuong; Nhu-Ngoc Dao; Wonjong Noh; Sungrae Cho (ICOIN, 2022)

User-Aware and Flexible Proactive Caching Using LSTM and Ensemble Learning in IoT-MEC Networks. - The-Vi Nguyen; Nhu-Ngoc Dao; Van-Dat Tuong; Wonjong Noh; Sungrae Cho (IEEE Internet Things J., 2022)

Delay Minimization for NOMA-Enabled Mobile Edge Computing in Industrial Internet of Things. - Van-Dat Tuong; Wonjong Noh; Sungrae Cho (IEEE Trans. Ind. Informatics, 2022)

Adaptive Partial Offloading and Resource Harmonization in Wireless Edge Computing-Assisted IoE Networks. - Demeke Shumeye Lakew; Van-Dat Tuong; Nhu-Ngoc Dao; Sungrae Cho (IEEE Trans. Netw. Sci. Eng., 2022)

FlyReflect: Joint Flying IRS Trajectory and Phase Shift Design Using Deep Reinforcement Learning. - Thanh Phung Truong; Van-Dat Tuong; Nhu-Ngoc Dao; Sungrae Cho (IEEE Internet Things J., 2023)

Optimal Resource Allocation for NOMA-Assisted Backscatter Communication in 6G Internet of Vehicles Networks. - Van-Dat Tuong; Dongwan Kim; Eui-Jik Kim; Jeongyeup Paek; Sungrae Cho (ICOIN, 2024)

NOMA-Enhanced Quantized Uplink Multi-user MIMO Communications. - Thanh Phung Truong; Anh-Tien Tran; Van-Dat Tuong; Nhu-Ngoc Dao; Sungrae Cho (INFOCOM, 2024)

Sparse CNN and Deep Reinforcement Learning-Based D2D Scheduling in UAV-Assisted Industrial IoT Networks. - Van-Dat Tuong; Wonjong Noh; Sungrae Cho (IEEE Trans. Ind. Informatics, 2024)

Spatial Deep Learning-Based Dynamic TDD Control for UAV-Assisted 6G Hotspot Networks. - Van-Dat Tuong; Wonjong Noh; Sungrae Cho (IEEE Trans. Ind. Informatics, 2024)

Deep-Learning-Based Resource Allocation for 6G NOMA-Assisted Backscatter Communications. - Van-Dat Tuong; Sungrae Cho (IEEE Internet Things J., 2024)