Publications

Conferences

GraphRx: Graph-Based Collaborative Learning among Multiple Cells for Uplink Neural Receivers
T. Wang, X. Wang, and G. Y. Li
Accepted by IEEE INFOCOM 2025 (Acceptance rate=18.6%).

FedPDA: Collaborative Learning for Reducing Online-Adaptation Frequency of Neural Receivers
S. Wang, T. Wang, and X. Wang
Accepted by IEEE INFOCOM 2025 (Acceptance rate=18.6%).

Collaborative Learning for Less Online Retraining of Neural Receivers [Paper]
T. Wang, S. Wang, X. Wang, and G. Y. Li
Proceedings of MLSP 2024-2024 IEEE Workshop on Machine Learning for Signal Processing, 2024.

Boosting Capacity for 6G Terahertz Mesh Networks Based on Bottleneck Structures [Paper]
T. Wang and X. Wang
Proceedings of GLOBECOM 2023-2023 IEEE Global Communications Conference, 2023, pp. 4589-4594.

Journals

LinkSlice: Fine-Grained Network Slice Enforcement Based on Deep Reinforcement Learning [Paper]
T. Wang, S. Chen, Y. Zhu, A. Tang and X. Wang
IEEE Journal on Selected Areas in Communications, 2022. [JCR-Q1, IF = 13.8]

DeepRP: Bottleneck Theory Guided Relay Placement for 6G Mesh Backhaul Augmentation [Paper]
T. Wang and X. Wang
IEEE Transactions on Mobile Computing, early access, 2024.[JCR-Q1, IF = 7.7]

SideSeeker: Contention-Based Distributed Relay Finding for Sidelink Mesh Networks [Paper]
T. Wang, X. Wang and Y. -B. Lin
IEEE Wireless Communications Letters, early access, 2024. [JCR-Q1, IF = 4.6]

Patents

A Method for Distributed Network Topology Reconfiguration Under Centralized Coordination
T. Wang, A. Tang, X. Wang, and Z. Li
Patent Application, PCT/CN2023/085658, Mar. 2023.