Tran The Anh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Cognitive Radio

Top Venues

IEEE Wirel. Commun. Lett.

Publications

Weiguang Chen, Tran The Anh, Xionghu Zhong, Eng Siong Chng
Enhancing Low-Latency Speaker Diarization with Spatial Dictionary Learning. ICASSP (2024)
Nguyen Cong Luong, Tran The Anh, Zehui Xiong, Dusit Niyato, Dong In Kim
Joint time scheduling and transaction fee selection in blockchain-based RF-powered backscatter cognitive radio network. Comput. Networks 214 (2022)
Tarun Gupta, Duc-Tuan Truong, Tran The Anh, Eng Siong Chng
Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model. INTERSPEECH (2022)
Tarun Gupta, Duc-Tuan Truong, Tran The Anh, Chng Eng Siong
Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model. CoRR (2022)
Tran The Anh, Nguyen Cong Luong, Dusit Niyato
A Deep Reinforcement Learning Approach for Backscatter-Assisted Relay Communications. IEEE Wirel. Commun. Lett. 10 (1) (2021)
Manav Kaushik, Van Tung Pham, Tran The Anh, Eng Siong Chng
End-to-End Speaker Age and Height Estimation using Attention Mechanism and Triplet Loss. APSIPA ASC (2021)
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach. CoRR (2020)
Tran The Anh, Nguyen Cong Luong, Zehui Xiong, Dusit Niyato, Dong In Kim
Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network. CoRR (2020)
Nguyen Cong Luong, Tran The Anh, Huynh Thi Thanh Binh, Dusit Niyato, Dong In Kim, Ying-Chang Liang
Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach. ICASSP (2019)
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Li-Chun Wang
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach. IEEE Wirel. Commun. Lett. 8 (5) (2019)
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Ying-Chang Liang, Dong In Kim
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks. WCNC (2019)
Pham Huu Anh Ngoc, Tran The Anh
Stability of nonlinear Volterra equations and applications. Appl. Math. Comput. 341 (2019)
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Li-Chun Wang
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach. CoRR (2018)
Huynh Thi Thanh Binh, Tran The Anh, Do Bao Son, Pham Anh Duc, Binh Minh Nguyen
An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment. SoICT (2018)
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Ying-Chang Liang, Dong In Kim
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks. CoRR (2018)
Nguyen Cong Luong, Tran The Anh, Huynh Thi Thanh Binh, Dusit Niyato, Dong In Kim, Ying-Chang Liang
Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach. CoRR (2018)