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Bo Chen

8 papers indexed

openalex2026-07-24

Supplementary material to "The Arctic Radiation-Cloud-Aerosol-Surface Interaction Experiment (ARCSIX) airborne campaign dataset"

Patrick C. Taylor, Armin Sorooshian, Rei Ueyama, K. Sebastian Schmidt, Ihab Abboud, Quincy Allison, et al.

The spring deployment began with a focus on capturing the initial sea ice conditions.On 28 May, the passage of an Arctic cyclone across the Lincoln Sea on 27 May resulted in a thinning of the cloud layer, relatively low predicted AODs (< 0.1) from the NASA Goddard Earth Observing…

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arxivcs.CVcs.AI2026-07-20

CaT-GS: Efficient 3DGS Rendering for Large Scale Scenes via Inter-frame Caching and Tile Scheduling

Tingjia Zhang, Bo Chen, Shengzhong Liu, Fan Wu, Guihai Chen

Recent breakthroughs in 3D Gaussian Splatting (3DGS) have advanced neural rendering with high fidelity and speed. However, its performance degrades significantly in large-scale scenes due to the computational burden of tile-based rasterization. Existing optimization efforts eithe…

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arxivcs.ARcs.AI2026-07-14

Full-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency to the Limit

Xiaomi MiMo Team, Anqi Liu, Aoxin Ma, Bo Chen, Bo Yang, Chen Wang, et al.

We present a full-pipeline inference optimization for the MiMo-V2.5 model family, which combines Hybrid Sliding Window Attention (Hybrid SWA), sparse Mixture-of-Experts (MoE), and multimodal encoders. While Hybrid SWA can ideally reduce both attention compute and KVCache storage…

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arxivcs.LG2026-06-28

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning

Zhibin Duan, Yuhong Wang, Jiahong Fu, Zongsheng Yue, Bo Chen, Zongben Xu

While Low-rank adaptation (LoRA) enables highly efficient fine-tuning by constraining task-specific updates to fixed low-rank subspaces, this rigid design limits representational flexibility and often results in overconfident predictions and miscalibrated uncertainty, especially…

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crossrefBiomedicines2025-11-13Cited by 2

Toxicological Impacts and Mechanistic Insights of Bisphenol a on Clear Cell Renal Cell Carcinoma Progression: A Network Toxicology, Machine Learning and Molecular Docking Study

Jie Chen, Biao Ran, Bo Chen, Jingxing Bai, Shibo Jian, Yin Huang, et al.

Background: Clear cell renal cell carcinoma (ccRCC) is a prevalent urological malignancy, accounting for approximately 1.6% of all cancer-related deaths in 2022. While endocrine-disrupting chemicals (EDCs) have been implicated as risk factors for ccRCC, the toxicological profiles…

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crossrefDiagnostics2025-07-08Cited by 4

Machine Learning and Deep Learning Hybrid Approach Based on Muscle Imaging Features for Diagnosis of Esophageal Cancer

Yuan Hong, Hanlin Wang, Qi Zhang, Peng Zhang, Kang Cheng, Guodong Cao, et al.

Background: The rapid advancement of radiomics and artificial intelligence (AI) technology has provided novel tools for the diagnosis of esophageal cancer. This study innovatively combines muscle imaging features with conventional esophageal imaging features to construct deep lea…

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