3 citations · 5 across the 13 of their papers we have counts for
14 papers
BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
Xuan Li, Yining Wang, Haocai Luo +6
Retrieval-Augmented Generation (RAG) has become a pivotal paradigm for Large Language Models (LLMs), yet current approaches struggle with visually rich documents by treating text a…
A Novel Noise Analysis Method for Frequency Transfer System by Using ADEV Combine with EMD-WT
Xuan Yang. Junhui Li, Bin Luo, Ziyang Chen +1
In precision frequency transfer systems, stringent requirements are imposed on the phase stability of transmitted signals. Throughout the transmission process, the inherent challen…
Dual-Path Region-Guided Attention Network for Ground Reaction Force and Moment Regression
Xuan Li, Samuel Bello
Accurate estimation of three-dimensional ground reaction forces and moments (GRFs/GRMs) is crucial for both biomechanics research and clinical rehabilitation evaluation. In this st…
DK-Root: A Joint Data-and-Knowledge-Driven Framework for Root Cause Analysis of QoE Degradations in Mobile Networks
Qizhe Li, Haolong Chen, Jiansheng Li +7
Diagnosing the root causes of Quality of Experience (QoE) degradations in operational mobile networks is challenging due to complex cross-layer interactions among kernel performanc…
Fast Unbiased Sampling of Networks with Given Expected Degrees and Strengths
Xuanchi Li, Xin Wang, Sadamori Kojaku
The configuration model is a cornerstone of statistical assessment of network structure. While the Chung-Lu model is among the most widely used configuration models, it systematica…
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Xingxuan Zhang, Gang Ren, Han Yu +35
We argue that progress toward general intelligence requires complementary foundation models grounded in language, the physical world, and structured data. This report presents Limi…
DeCoT: Decomposing Complex Instructions for Enhanced Text-to-Image Generation with Large Language Models
Xiaochuan Lin, Xiangyong Chen, Xuan Li +1
Despite remarkable advancements, current Text-to-Image (T2I) models struggle with complex, long-form textual instructions, frequently failing to accurately render intricate details…
From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis
Xuan Li, Jialiang Dong, Raymond Wong
Documents are core carriers of information and knowl-edge, with broad applications in finance, healthcare, and scientific research. Tables, as the main medium for structured data,…
Rheology of bidisperse suspensions at the colloidal-to-granular transition
Xuan Li, John R. Royer, Christopher Ness
We use particle-based simulation to study the rheology of dense suspensions comprising mixtures of small colloids and larger grains, which exhibit shear thinning at low shear rates…
Energy identity for Ginzburg-Landau approximation of harmonic maps
Xuanyu Li
Given two Riemannian manifolds and , we consider the energy concentration phenomena of the penalized energy functional $$E_ε(u)=\int_M\frac{\vert\nabla u\…
Combinatorial Diffusion Auction Design
Xuanyu Li, Miao Li, Yuhan Cao +1
Diffusion auction design for combinatorial settings is a long-standing challenge. One difficulty is that we cannot directly extend the solutions for simpler settings to combinatori…
Recent measurements at the PHENIX experiment
Xuan Li
Quarkonium is an ideal probe to explore the properties of quantum chromodynamics (QCD). Unlike Large Hadron Collider (LHC) measurements, quarkonium production at the Relativistic H…
Linearly-evolved Transformer for Pan-sharpening
Junming Hou, Zihan Cao, Naishan Zheng +6
Vision transformer family has dominated the satellite pan-sharpening field driven by the global-wise spatial information modeling mechanism from the core self-attention ingredient.…
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu, Yanhua Yu, Hao Fei +6
In recent years, spectral graph neural networks, characterized by polynomial filters, have garnered increasing attention and have achieved remarkable performance in tasks such as n…