activity
20242026
collaborators

5 papers

eess.SP2026

Task-Oriented Communication with Hybrid-Precision Models

Songjie Xie, Wei Guo, Shenghui Song +3

Edge inference has emerged as a promising solution for the proliferation of artificial intelligence (AI) services by deploying models at the network edge to circumvent cloud-routin…

cs.DC2026

Unleashing the Power of Tree-of-Thoughts for Edge-Enabled AIGC Service Provisioning

Zhang Liu, Shanhao Zhan, Shaowei Shen +4

Delivering AI-generated content (AIGC) services fundamentally relies on the reasoning capabilities of generative AI (GenAI) models. Chain-of-Thought (CoT) enhances such reasoning b…

cs.NI2026

Cross-Layer Traffic Allocation and Contention Window Optimization for Wi-Fi 7 MLO: When DRL Meets LSTM

Zhang Liu, Xianbin Wang, Shumin Lian +3

To support future diverse applications, multi-link operation (MLO) has been introduced in the Wi-Fi 7 standard (IEEE 802.11be) to enable concurrent communication over multiple freq…

eess.SP2025

A Tractable Approach to Massive Communication and Ubiquitous Connectivity in 6G Standardization

Junyi Jiang, Wei Chen, Xin Guo +6

The full-scale 6G standardization has attracted considerable recent attention, especially since the first 3GPP-wide 6G workshop held in March 2025. To understand the practical and…

cs.IT2024

Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks

Songjie Xie, Hengtao He, Hongru Li +4

Deep learning-based joint source-channel coding (DJSCC) is expected to be a key technique for {the} next-generation wireless networks. However, the existing DJSCC schemes still fac…