activity
20242026
most citedMARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge

20 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2026

AnyPro: Preference-Preserving Anycast Optimization based on Strategic AS-Path Prepending

Minyuan Zhou, Yuning Chen, Jiaqi Zheng +11

Operating large-scale anycast networks is challenging because client-to-site mappings often misalign with operator's expectation due to opaque inter-domain routing. We present AnyP…

cs.LG2025

SoilX: Calibration-Free Comprehensive Soil Sensing through Contrastive Cross-Component Learning

Kang Yang, Yuanlin Yang, Yuning Chen +3

Precision agriculture demands continuous and accurate monitoring of soil moisture (M) and key macronutrients, including nitrogen (N), phosphorus (P), and potassium (K), to optimize…

cs.NI2025

Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis

Kang Yang, Yuning Chen, Wan Du

We present GRaF, Generalizable Radio-Frequency (RF) Radiance Fields, a framework that models RF signal propagation to synthesize spatial spectra at arbitrary transmitter or receive…

cs.MA2024

See Behind Walls in Real-time Using Aerial Drones and Augmented Reality

Sikai Yang, Kang Yang, Yuning Chen +2

This work presents ARD2, a framework that enables real-time through-wall surveillance using two aerial drones and an augmented reality (AR) device. ARD2 consists of two main steps:…

cs.LG2024★ 20 cited

MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge

Yuning Chen, Kang Yang, Zhiyu An +4

The rapid decline in groundwater around the world poses a significant challenge to sustainable agriculture. To address this issue, agricultural managed aquifer recharge (Ag-MAR) is…

cs.DC2024★ 4 cited

CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation

Yifei Xu, Yuning Chen, Xumiao Zhang +8

Among the thriving ecosystem of cloud computing and the proliferation of Large Language Model (LLM)-based code generation tools, there is a lack of benchmarking for code generation…