works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
most citedContinual Model-Based Reinforcement Learning with Hypernetworks

6 citations · 6 across the 6 of their papers we have counts for

collaborators

9 papers

cs.NI2026

Can We Trust AI in 6G? Verifiable and Auditable AI-Driven Trustworthy Wireless Networks

Genze Jiang, Yizhou Huang, Kezhi Wang

The paper proposes a mechanical auditing framework that inspects AI functions in 6G wireless networks by comparing their internal representations to machine‑verifiable 3GPP specifi…

cs.NI2026

From Traditional Automation to Embodied Wireless Intelligence: Vision-Language-Action Empowered Physics-Aware Communication Networks

Genze Jiang, Kezhi Wang, Xiaomin Chen +1

Wireless network automation has progressed from rule-based self-organising networks (SON) to data-driven optimisation, yet existing systems remain fundamentally disembodied. They a…

cs.LG20266 cited

Continual Model-Based Reinforcement Learning with Hypernetworks

Yizhou Huang, Kevin Xie, Homanga Bharadhwaj +1

Effective planning in model-based reinforcement learning (MBRL) and model-predictive control (MPC) relies on the accuracy of the learned dynamics model. In many instances of MBRL a…

cs.AI2026

BioLLMAgent: A Hybrid Framework with Enhanced Structural Interpretability for Simulating Human Decision-Making in Computational Psychiatry

Zuo Fei, Kezhi Wang, Xiaomin Chen +1

Computational psychiatry faces a fundamental trade-off: traditional reinforcement learning (RL) models offer interpretability but lack behavioral realism, while large language mode…

cs.CV2026

FoSS: Modeling Long Range Dependencies and Multimodal Uncertainty in Trajectory Prediction via Fourier State Space Integration

Yizhou Huang, Gengze Jiang, Yihua Cheng +1

Accurate trajectory prediction is vital for safe autonomous driving, yet existing approaches struggle to balance modeling power and computational efficiency. Attention-based archit…

cs.AI2026

Agentic AI Empowered Intent-Based Networking for 6G

Genze Jiang, Kezhi Wang, Xiaomin Chen +1

The transition towards sixth-generation (6G) wireless networks necessitates autonomous orchestration mechanisms capable of translating high-level operational intents into executabl…