activity
20202026
most citedCross-regional oil palm tree counting and detection via multi-level attention domain adaptation network

94 citations · 104 across the 30 of their papers we have counts for

collaborators

37 papers

cs.CV2026

Topology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification

Qingmei Li, Juepeng Zheng, Jiarui Zhang +2

Domain adaptation has advanced cross-scene hyperspectral image classification, significantly improving discriminative capability in complex scenarios. However, privacy rules or sto…

cs.AI2026

Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction

Shiyuan Piao, Fan Zehui, Yang Liu +4

Accurate short-term wind power forecasting is essential for grid stability and operational planning, yet remains challenging due to the complex interactions between atmospheric con…

cs.CE2026

Exascale Hybrid Numerical-AI Ensembles for Operational Flood-Season Forecasting in East Asia: 15-km Decadal Hindcasts and 1-km High-Resolution Capability

Mengxuan Chen, Yunpu Xu, Qiuyan Sun +19

Seasonal forecasting of summer rainfall in East Asia remains a grand challenge, as predictability at 3 to 6 month lead times is constrained by the spring predictability barrier, we…

cs.SE2026

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

Jie Li, Wenzhao Wu, Junqi Hu +5

While large language models (LLMs) have been extensively evaluated on code generation tasks for general-purpose programming and GPU-accelerated environments (e.g., PyTorch, CUDA),…

cs.CV2026

AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in Agriculture

Zi Ye, Yibin Wen, Xiaoya Fan +10

Agricultural decision-making increasingly requires multimodal systems that can transform visual observations into reliable, executable actions. However, existing agricultural multi…

cs.CV2026

AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding

Haocheng Li, Juepeng Zheng, Zenghao Yang +5

Visual grounding, the task of localizing objects described by natural-language expressions, is a foundational capability for agricultural AI systems, enabling applications such as…