6 papers
Explainable AI for Biodiversity Monitoring and Ecological Image Analysis
Brinnae Bent, Holly R. Houliston, Jiayi Zhou +2
Artificial intelligence is transforming biodiversity monitoring by enabling automated analysis of ecological imagery collected from camera traps, drones, satellites, underwater pla…
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
Sifeng Shang, Jiayi Zhou, Chenyu Lin +2
As the size of large language models grows exponentially, GPU memory has become a bottleneck for adapting these models to downstream tasks. In this paper, we aim to push the limits…
Encyclo-K: Evaluating LLMs with Dynamically Composed Knowledge Statements
Yiming Liang, Yizhi Li, Yantao Du +14
Benchmarks play a crucial role in tracking the rapid advancement of large language models (LLMs) and identifying their capability boundaries. However, existing benchmarks predomina…
On Thin Ice: Towards Explainable Conservation Monitoring via Attribution and Perturbations
Jiayi Zhou, Günel Aghakishiyeva, Saagar Arya +7
Computer vision can accelerate ecological research and conservation monitoring, yet adoption in ecology lags in part because of a lack of trust in black-box neural-network-based mo…
Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
Günel Aghakishiyeva, Jiayi Zhou, Saagar Arya +7
Ecological monitoring is increasingly automated by vision models, yet opaque predictions limit trust and field adoption. We present an inpainting-guided, perturbation-based explana…
Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging
Zhibin Wang, Yanxin Cai, Jiayi Zhou +6
The growing field of remote sensing faces a challenge: the ever-increasing size and volume of imagery data are exceeding the storage and transmission capabilities of satellite plat…