Publications (15)
CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Zhigang Cheng, Mingchao Sun, Yu Liu +5
Level of Detail (LoD) is a fundamental technique in real-time computer graphics for managing the rendering costs of complex scenes while preserving visual fidelity. Traditionally,…
Temperature dependence in fast-atom diffraction at surfaces
Peng Pan, Maxime Debiossac, Philippe Roncin
Grazing incidence fast atom diffraction at crystal surfaces (GIFAD or FAD) has demonstrated coherent diffraction both at effective energies close to one eV ( 14 pm…
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information
Chaoyang Wang, Zhiqiang Guo, Guohui Li +3
Due to the development of graph neural networks, graph-based representation learning methods have made great progress in recommender systems. However, data sparsity is still a chal…
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
Chaoyang Wang, Zhiqiang Guo, Jianjun Li +2
Due to its nature of learning from dynamic interactions and planning for long-run performance, reinforcement learning (RL) recently has received much attention in interactive recom…
RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification
Rui Shi, Xiaodong Yu, Shengming Wang +4
In this paper, we propose RFUAV as a new benchmark dataset for radio-frequency based (RF-based) unmanned aerial vehicle (UAV) identification and address the following challenges: F…
Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models
Wanling Gao, Yunyou Huang, Dandan Cui +22
A profound gap persists between artificial intelligence (AI) and clinical practice in medicine, primarily due to the lack of rigorous and cost-effective evaluation methodologies. S…
What makes a good BIM design: quantitative linking between design behavior and quality
Xiang-Rui Ni, Peng Pan, Jia-Rui Lin
In the Architecture Engineering & Construction (AEC) industry, how design behaviors impact design quality remains unclear. This study proposes a novel approach, which, for the firs…
Head-Aware Visual Cropping: Enhancing Fine-Grained VQA with Attention-Guided Subimage
Junfei Xie, Peng Pan, Xulong Zhang
Multimodal Large Language Models (MLLMs) show strong performance in Visual Question Answering (VQA) but remain limited in fine-grained reasoning due to low-resolution inputs and no…
Impact of color and mixing proportion of synthetic point clouds on semantic segmentation
Shaojie Zhou, Jia-Rui Lin, Peng Pan +2
Deep learning (DL)-based point cloud segmentation is essential for understanding built environment. Despite synthetic point clouds (SPC) having the potential to compensate for data…
AI.vs.Clinician: Unveiling Intricate Interactions Between AI and Clinicians through an Open-Access Database
Wanling Gao, Yuan Liu, Zhuoming Yu +21
Artificial Intelligence (AI) plays a crucial role in medical field and has the potential to revolutionize healthcare practices. However, the success of AI models and their impacts…
Qwen-BIM: developing large language model for BIM-based design with domain-specific benchmark and dataset
Jia-Rui Lin, Yun-Hong Cai, Xiang-Rui Ni +2
As the construction industry advances toward digital transformation, BIM (Building Information Modeling)-based design has become a key driver supporting intelligent construction. D…
Huawei Cloud Model-as-a-Service on the CloudMatrix384 SuperPod
Ao Xiao, Bangzheng He, Baoquan Zhang +125
Scaled-out MoE LLMs and scaled-up SuperPods create new systems challenges for production Model-as-a-Service (MaaS), requiring disaggregation, low-latency communication, and decentr…
A setup for grazing incidence fast atom diffraction
Peng Pan, Jaafar Najafi Rad, Philippe Roncin
We describe a UHV setup for grazing incidence fast atom diffraction (GIFAD) experiments. The overall geometry is simply a source of keV atoms facing an imaging detector. Therefore,…
SatAOI: Delimitating Area of Interest for Swing-Arm Troweling Robot for Construction
Jia-Rui Lin, Shaojie Zhou, Peng Pan +2
In concrete troweling for building construction, robots can significantly reduce workload and improve automation level. However, as a primary task of coverage path planning (CPP) f…
Elastic and inelastic diffraction of fast neon atoms on a LiF surface
Maxime Debiossac, Peng Pan, Philippe Roncin
Grazing incidence fast atom diffraction has mainly been investigated with helium atoms, considered as the best possible choice for surface analysis. This article presents experimen…