2 citations · 5 across the 10 of their papers we have counts for
10 papers
SWE-Bench 5G: Benchmarking AI Coding Agents on Telecom Network Engineering Tasks
Jiao Chen, Jianhua Tang, Xiaotong Yang +1
AI coding agents demonstrate strong performance on general-purpose software benchmarks. However, their ability to handle 5G network engineering tasks remains unexplored. We propose…
6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management
Jiao Chen, Jianhua Tang, Xiaotong Yang +1
Autonomous 6G network management requires agents that can execute tools, observe the resulting state changes, and adapt their decisions accordingly. Existing benchmarks based on st…
AdaptFly: Prompt-Guided Adaptation of Foundation Models for Low-Altitude UAV Networks
Jiao Chen, Haoyi Wang, Jianhua Tang +1
Low-altitude Unmanned Aerial Vehicle (UAV) networks rely on robust semantic segmentation as a foundational enabler for distributed sensing-communication-control co-design across he…
Probing then Editing: A Push-Pull Framework for Retain-Free Machine Unlearning in Industrial IoT
Jiao Chen, Weihua Li, Jianhua Tang
In dynamic Industrial Internet of Things (IIoT) environments, models need the ability to selectively forget outdated or erroneous knowledge. However, existing methods typically rel…
Forward-Only Continual Learning
Jiao Chen, Jiayi He, Fangfang Chen +2
Catastrophic forgetting remains a central challenge in continual learning (CL) with pre-trained models. While existing approaches typically freeze the backbone and fine-tune a smal…
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models
Jiao Chen, Ruyi Huang, Zuohong Lv +2
Recently, employing single-modality large language models based on mechanical vibration signals as Tuning Predictors has introduced new perspectives in intelligent fault diagnosis.…
Towards General Industrial Intelligence: A Survey of Continual Large Models in Industrial IoT
Jiao Chen, Jiayi He, Fangfang Chen +6
Industrial AI is transitioning from traditional deep learning models to large-scale transformer-based architectures, with the Industrial Internet of Things (IIoT) playing a pivotal…
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models
Jiao Chen, Suyan Dai, Fangfang Chen +2
Integrating large language models (LLMs) into autonomous driving enhances personalization and adaptability in open-world scenarios. However, traditional edge computing models still…
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
Jiayi He, Jiao Chen, Qianmiao Liu +3
The Industrial Internet of Things (IIoT) integrates interconnected sensors and devices to support industrial applications, but its dynamic environments pose challenges related to d…
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT
Chen Jiao, Mao Fengjian, Lv Zuohong +1
Recent transfer learning (TL) approaches in industrial intelligent fault diagnosis (FD) mostly follow the "pre-train and fine-tuning" paradigm to address data drift, which emerges…