Publications (43)
Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis
Yunxiang Su, Tianjing Zeng, Zhongjun Ding +5
With the development of large language models (LLMs), numerous studies integrate LLMs through operator-like components to enhance relational data processing tasks, e.g., filters wi…
Touchless Intraoperative Image Access System Based on Vision-Based Hand Tracking
Yin Lin, Domenico Aquino, Alberto Redaelli +3
Touchless interaction with medical images is becoming increasingly important in the surgical field, where sterility and continuity of the operational workflow are essential require…
Lepton Flavour Violation in Models with A4 Flavour Symmetry
Ferruccio Feruglio, Claudia Hagedorn, Yin Lin +1
We analyze lepton flavour violating transitions, leptonic magnetic dipole moments (MDMs) and electric dipole moments (EDMs) in a class of models characterized by the flavour symmet…
Nucleon and Baryon Masses with All-HISQ Fermions at the Physical Point
Ciaran Hughes, Yin Lin, Aaron S. Meyer
We present the results of the nucleon and baryon masses using staggered action for both valence and sea quarks. Three ensembles with the physical pion mass at approximate latt…
The Distribution of Bubble Sizes During Reionization
Yin Lin, S. Peng Oh, Steven R. Furlanetto +1
A key physical quantity during reionization is the size of HII regions. Previous studies found a characteristic bubble size which increases rapidly during reionization, with appare…
Lattice QCD and Particle Physics
Andreas S. Kronfeld, Tanmoy Bhattacharya, Thomas Blum +79
Contribution from the USQCD Collaboration to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021).
Exploring Part-Informed Visual-Language Learning for Person Re-Identification
Yin Lin, Yehansen Chen, Baocai Yin +4
Recently, visual-language learning (VLL) has shown great potential in enhancing visual-based person re-identification (ReID). Existing VLL-based ReID methods typically focus on ima…
Mass hierarchy and flavour mixing from discrete symmetries
Yin Lin
We consider a class of discrete flavour symmetries for leptons based on the group S(3) and A(4) with an hybrid breaking pattern. The aim is to construct models in which the same fl…
Tri-bimaximal Neutrino Mixing from A(4) and θ_{13} \sim θ_C
Yin Lin
It is a common believe that, if the Tri-bimaximal mixing (TBM) pattern is explained by vacuum alignment in an A(4) model, only a very small reactor angle, say θ_{13} \sim λ^2_C b…
Proton Lifetime from SU(5) Unification in Extra Dimensions
Maria Laura Alciati, Ferruccio Feruglio, Yin Lin +1
We provide detailed estimates of the proton lifetime in the context of simple supersymmetric SU(5) grand unified models with an extra compact spatial dimension, described by the or…
Fermion masses and proton decay in a minimal five-dimensional SO(10) model
Maria Laura Alciati, Ferruccio Feruglio, Yin Lin +1
We propose a minimal SO(10) model in 5 space-time dimensions. The single extra spatial dimension is compactified on the orbifold S^1/(Z_2 x Z_2') reducing the gauge group to that o…
SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models
Yin Lin, Tianjing Zeng, Zhongjun Ding +4
Relational databases excel at structured data analysis, but real-world queries increasingly require capabilities beyond standard SQL, such as semantically matching entities across…
Radiomics- and Clinical Feature-Driven Prediction of Volumetric Response in Skull-Base Meningioma after CyberKnife Radiosurgery
Yin Lin, Elena De Martin, Giacomo Conte +6
Skull-base meningiomas are often characterized by favorable long-term prognosis, yet their anatomical complexity and proximity to critical neurovascular structures make treatment s…
Update on the gradient flow scale on the 2+1+1 HISQ ensembles
Alexei Bazavov, Claude Bernard, Carleton E. DeTar +8
We report on the ongoing effort of improving the determination of the gradient flow scale on the (2+1+1)-flavor HISQ ensembles generated by the MILC collaboration. We compute the s…
On orbifold theory and N=2, D=5 gauged supergravity
Yin Lin
We have studied the most general N=2 supergravity in five dimensions in context with the orbifold theory based on . Various ways to treat the supersymmetry with…
A dynamical approach to link low energy phases with leptogenesis
Yin Lin
If lepton masses and mixings are explained by a flavour symmetry in seesaw model which leads to U_{e3}=0 at leading order, we find that, under reasonable assumptions, a future obse…
A Scalable AI-Powered System for Explainable Machine Learning Pipelines in Brain Tumor
Yin Lin, Elena De Martin, Giacomo Conte +6
The paper introduces a web‑based visual analytics platform that integrates cohort management, radiomic feature extraction, and guarded inference with pre‑trained machine learning m…
Theory of the Neutrino Mass
Ferruccio Feruglio, Claudia Hagedorn, Yin Lin +1
Theoretical aspects of neutrino physics are reviewed, with emphasis on possible explanations of the smallness of neutrino masses and of the peculiar mixing pattern observed in the…
Applications of Machine Learning to Lattice Quantum Field Theory
Denis Boyda, Salvatore Calì, Sam Foreman +8
There is great potential to apply machine learning in the area of numerical lattice quantum field theory, but full exploitation of that potential will require new strategies. In th…
AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
Zhongjun Ding, Yin Lin, Tianjing Zeng +3
Text-to-SQL systems translate natural language questions into SQL queries, providing substantial value for non-expert users. While large language models (LLMs) show promising resul…
Constraints on neutrino masses from leptogenesis models
Thomas Hambye, Yin Lin, Alessio Notari +2
Upper bounds on the CP asymmetry relevant for leptogenesis are reexamined and found weaker than in previous literature, both for hierarchical and for quasi-degenerate right-handed…
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
Yixuan Sun, Srinivas Eswar, Yin Lin +5
Linear systems arise in generating samples and in calculating observables in lattice quantum chromodynamics~(QCD). Solving the Hermitian positive definite systems, which are sparse…
Tri-bimaximal Neutrino Mixing and Quark Masses from a Discrete Flavour Symmetry
Ferruccio Feruglio, Claudia Hagedorn, Yin Lin +1
We build a supersymmetric model of quark and lepton masses based on the discrete flavour symmetry group T', the double covering of A_4. In the lepton sector our model is practicall…
MithraDetective: A System for Cherry-picked Trendlines Detection
Yoko Nagafuchi, Yin Lin, Kaushal Mamgain +5
Given a data set, misleading conclusions can be drawn from it by cherry-picking selected samples. One important class of conclusions is a trend derived from a data set of values ov…
Gauge coupling Unification and SO(10) in 5D
Maria Laura Alciati, Yin Lin
We analyze the gauge unification in minimal supersymmetric SO(10) grand unified theories in 5 dimensions. The single extra spatial dimension is compactified on the orbifold S^1/(Z_…
Nucleon Mass with Highly Improved Staggered Quarks
Yin Lin, Aaron S. Meyer, Ciaran Hughes +3
We present the first computation in a program of lattice-QCD baryon physics using staggered fermions for sea and valence quarks. For this initial study, we present a calculation of…
SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm
Jiandong Jin, Xiao Wang, Yin Lin +4
Current pedestrian attribute recognition (PAR) algorithms use multi-label or multi-task learning frameworks with specific classification heads. These models often struggle with imb…
Signal-to-noise improvement through neural network contour deformations for 3D lattice gauge theory
William Detmold, Gurtej Kanwar, Yin Lin +2
Complex contour deformations of the path integral have been demonstrated to significantly improve the signal-to-noise ratio of observables in previous studies of two-dimensional ga…
A predictive A4 model, Charged Lepton Hierarchy and Tri-bimaximal Sum Rule
Yin Lin
We propose a novel A4 model in which the Tri-Bimaximal (TB) neutrino mixing and the charged lepton mass hierarchy are reproduced simultaneously. At leading order, the residual symm…
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions
Yin Lin, Bolin Ding, H. V. Jagadish +1
Before applying data analytics or machine learning to a data set, a vital step is usually the construction of an informative set of features from the data. In this paper, we presen…
Efficient Row-Level Lineage Leveraging Predicate Pushdown
Yin Lin, Cong Yan
Row-level lineage explains what input rows produce an output row through a data processing pipeline, having many applications like data debugging, auditing, data integration, etc.…
Tri-bimaximal Neutrino Mixing from Orbifolding
Guido Altarelli, Ferruccio Feruglio, Yin Lin
We show that the A4 discrete symmetry that naturally leads to tri-bimaximal neutrino mixing can be simply obtained as a result of an orbifolding starting from a model in 6 dimensio…
Running Effects on Lepton Mixing Angles in Flavour Models with Type I Seesaw
Yin Lin, Luca Merlo, Alessio Paris
We study renormalization group running effects on neutrino mixing patterns when a (type I) seesaw model is implemented by suitable flavour symmetries. We are particularly intereste…
Glioblastoma Overall Survival Prediction With Vision Transformers
Yin Lin, Riccardo Barbieri, Domenico Aquino +5
Glioblastoma is one of the most aggressive and common brain tumors, with a median survival of 10-15 months. Predicting Overall Survival (OS) is critical for personalizing treatment…
Cross-modulated Attention Transformer for RGBT Tracking
Yun Xiao, Jiacong Zhao, Andong Lu +4
Existing Transformer-based RGBT trackers achieve remarkable performance benefits by leveraging self-attention to extract uni-modal features and cross-attention to enhance multi-mod…
Representation Bias in Data: A Survey on Identification and Resolution Techniques
Nima Shahbazi, Yin Lin, Abolfazl Asudeh +1
Data-driven algorithms are only as good as the data they work with, while data sets, especially social data, often fail to represent minorities adequately. Representation Bias in d…
Lepton Flavour Violation in a Supersymmetric Model with A4 Flavour Symmetry
Ferruccio Feruglio, Claudia Hagedorn, Yin Lin +1
We compute the branching ratios for mu-> e gamma, tau-> mu gamma and tau -> e gamma in a supersymmetric model invariant under the flavour symmetry group A4 X Z3 X U(1)_{FN}, in whi…
High-Precision Scale Setting with the Omega-Baryon Mass and Gradient Flow
Alexei Bazavov, Claude W. Bernard, David A. Clarke +23
The gradient-flow scale in lattice QCD is determined using the mass of the baryon to set the physical scale. Nine ensembles using the highly improved staggered quark (…
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory
Salvatore Calì, Daniel C. Hackett, Yin Lin +2
This work develops neural-network--based preconditioners to accelerate solution of the Wilson-Dirac normal equation in lattice quantum field theories. The approach is implemented f…
Fermion Mass Hierarchies and Flavour Mixing from a Minimal Discrete Symmetry
Ferruccio Feruglio, Yin Lin
We construct a simple model of fermion masses based on a spontaneously broken S3 X Z3 flavour group. At the leading order, in the neutrino sector S3 is broken down to a ν_μ-ν_υ
Exploring gauge-fixing conditions with gradient-based optimization
William Detmold, Gurtej Kanwar, Yin Lin +2
Lattice gauge fixing is required to compute gauge-variant quantities, for example those used in RI-MOM renormalization schemes or as objects of comparison for model calculations. R…
Parallel Supercomputing PC Cluster and Some Physical Results in Lattice QCD
Xiang-Qian Luo, Zhong-Hao Mei, Eric B. Gregory +3
We describe the construction of a high performance parallel computer composed of PC components, present some physical results for light hadron and hybrid meson masses from lattice…
Computing Nucleon Charges with Highly Improved Staggered Quarks
Yin Lin, Aaron S. Meyer, Steven Gottlieb +4
This work continues our program of lattice-QCD baryon physics using staggered fermions for both the sea and valence quarks. We present a proof-of-concept study that demonstrates, f…