most citedBeyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels

3 citations · 3 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2025

HyM-UNet: Synergizing Local Texture and Global Context via Hybrid CNN-Mamba Architecture for Medical Image Segmentation

Haodong Chen, Xianfei Han, Qwen

Accurate organ and lesion segmentation is a critical prerequisite for computer-aided diagnosis. Convolutional Neural Networks (CNNs), constrained by their local receptive fields, o…

cs.LG2025

FinCast: A Foundation Model for Financial Time-Series Forecasting

Zhuohang Zhu, Haodong Chen, Qiang Qu +1

Financial time-series forecasting is critical for maintaining economic stability, guiding informed policymaking, and promoting sustainable investment practices. However, it remains…

cs.CV2025

AMMNet: An Asymmetric Multi-Modal Network for Remote Sensing Semantic Segmentation

Hui Ye, Haodong Chen, Zeke Zexi Hu +2

Semantic segmentation in remote sensing (RS) has advanced significantly with the incorporation of multi-modal data, particularly the integration of RGB imagery and the Digital Surf…

cs.CE2025

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction

Zhuohang Zhu, Haodong Chen, Qiang Qu +2

Effective stock price forecasting (estimating future prices) and prediction (estimating future price changes) are pivotal for investors, regulatory agencies, and policymakers. Thes…

cs.GR2025

A Survey on Event-driven 3D Reconstruction: Development under Different Categories

Chuanzhi Xu, Haoxian Zhou, Haodong Chen +2

Event cameras have gained increasing attention for 3D reconstruction due to their high temporal resolution, low latency, and high dynamic range. They capture per-pixel brightness c…

cs.CV2025

Towards End-to-End Neuromorphic Event-based 3D Object Reconstruction Without Physical Priors

Chuanzhi Xu, Langyi Chen, Haodong Chen +2

Neuromorphic cameras, also known as event cameras, are asynchronous brightness-change sensors that can capture extremely fast motion without suffering from motion blur, making them…