papers

Publications (527)

astro-ph.IM2024

The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024)

Rafael Alves Batista, Aurélien Benoit-Lévy, Teresa Bister +121

This is an index of the contributions by the Giant Radio Array for Neutrino Detection (GRAND) Collaboration to the 10th International Workshop on Acoustic and Radio EeV Neutrino De…

cond-mat.mes-hall2025

Hole subband dispersions and strong `spin'-orbit coupling in a cylindrical Ge nanowire

Rui Li

Quasi-one-dimensional hole gas is achievable in a semiconductor Ge nanowire. The lowest two subband dispersions of the hole gas are just two shifted parabolic curves with an anticr…

quant-ph2026

High-contrast double Bragg interferometry via detuning control

Rui Li, Víctor José Martínez-Lahuerta, Naceur Gaaloul +1

We propose high-contrast Mach-Zehnder atom interferometers based on double Bragg diffraction (DBD) operating under external acceleration. To mitigate differential Doppler shifts an…

quant-ph2026

Optimized ancillary drive for fast Rydberg entangling gates

Rui Li, Min-Hua Zhang, Jing Qian

Reaching fast and robust two-qubit gates with low infidelities has been an outstanding challenge for the long-term goal of useful quantum computers. Typically, optimizing the pulse…

eess.SY2021

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply

Tiansheng Huang, Weiwei Lin, Xiaobin Hong +5

With astonishing speed, bandwidth, and scale, Mobile Edge Computing (MEC) has played an increasingly important role in the next generation of connectivity and service delivery. Yet…

cs.IR2024

Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond

Qi Wang, Jindong Li, Shiqi Wang +7

Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields…

cs.CV2016

Patch-based Texture Synthesis for Image Inpainting

Tao Zhou, Brian Johnson, Rui Li

Image inpaiting is an important task in image processing and vision. In this paper, we develop a general method for patch-based image inpainting by synthesizing new textures from e…

cs.LG2025

Explainable Diagnosis Prediction through Neuro-Symbolic Integration

Qiuhao Lu, Rui Li, Elham Sagheb +5

Diagnosis prediction is a critical task in healthcare, where timely and accurate identification of medical conditions can significantly impact patient outcomes. Traditional machine…

cs.CV2026

Reward-Aware Trajectory Shaping for Few-step Visual Generation

Rui Li, Bingyu Li, Yuanzhi Liang +3

Achieving high-fidelity generation in extremely few sampling steps has long been a central goal of generative modeling. Existing approaches largely rely on distillation-based frame…

astro-ph.GA2021

Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks

Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +8

We present a sample of 16 likely strong gravitational lenses identified in the VST Optical Imaging of the CDFS and ES1 fields (VOICE survey) using Convolutional Neural Networks (CN…

cs.IR2025

Request-Only Optimization for Recommendation Systems

Liang Guo, Wei Li, Lucy Liao +25

Deep Learning Recommendation Models (DLRMs) represent one of the largest machine learning applications on the planet. Industry-scale DLRMs are trained with petabytes of recommendat…

cs.LO2022

A Sahlqvist-style Correspondence Theorem for Linear-time Temporal Logic

Rui Li, Francesco Belardinelli

The language of modal logic is capable of expressing first-order conditions on Kripke frames. The classic result by Henrik Sahlqvist identifies a significant class of modal formula…

cs.LG2026

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

math.AP2026

Nonlinear stability and optimal decay rate of the planar entropy wave for Landau equation

Renjun Duan, Feimin Huang, Rui Li +1

This paper investigates the nonlinear asymptotic stability and optimal decay rates of entropy waves for the Landau equation with physically realistic Coulomb interactions under gen…

astro-ph.GA2018

A scenario on the power-law total mass-density profile of the inner regions of early-type-galaxies

Rui Li, Zhaoyi Xu, Jiancheng Wang +1

We naturally obtain a power-law total mass-density profile for the inner regions (within several effective radius) of early-type galaxies(ETGs) from space-time structures, which ar…

cs.CV2026

Integrating Reinforcement Learning with Visual Generative Models: Foundations and Advances

Yuanzhi Liang, Yijie Fang, Ke Hao +4

Generative models have made significant progress in synthesizing visual content, including images, videos, and 3D/4D structures. However, they are typically trained with surrogate…

math.OC2024

Equilibrium Strategies of Carbon Emission Reduction in Agricultural Product Supply Chain under Carbon Sink Trading

Tingting Meng, Yukun Cheng, Xujin Pu +1

As global climate change and environmental issues escalate, carbon reduction has emerged as a paramount global concern. Agriculture accounts for approximately 30% of global greenho…

cs.PL2025

A Language-Agnostic Logical Relation for Message-Passing Protocols

Tesla Zhang, Sonya Simkin, Rui Li +2

Today's computing landscape has been gradually shifting to applications targeting distributed and *heterogeneous* systems, such as cloud computing and Internet of Things (IoT) appl…

quant-ph2024

Entanglement Structure Detection via Computer Vision

Rui Li, Junling Du, Zheng Qin +4

Quantum entanglement plays a pivotal role in various quantum information processing tasks. However, there still lacks a universal and effective way to detecting entanglement struct…

cs.LG2023

Expanding Knowledge Graphs with Humans in the Loop

Emaad Manzoor, Jordan Tong, Sriniketh Vijayaraghavan +1

Curated knowledge graphs encode domain expertise and improve the performance of recommendation, segmentation, ad targeting, and other machine learning systems in several domains. A…

eess.SY2023

Power System Capacity Planning Considering Seasonal Hydrogen Storage by Salt Caverns

Xueqian He, Tianguang Lu, Jing Li +2

In China, air conditioning in summer and electric heating in winter lead to seasonal volatility in load power. Therefore, it is urgent to develop economic and efficient long-term e…

eess.IV2023

Accelerated partial separable model using dimension-reduced optimization technique for ultra-fast cardiac MRI

Zhongsen Li, Aiqi Sun, Chuyu Liu +4

Objective. Imaging dynamic object with high temporal resolution is challenging in magnetic resonance imaging (MRI). Partial separable (PS) model was proposed to improve the imaging…

cs.IR2021

A unified Neural Network Approach to E-CommerceRelevance Learning

Yunjiang Jiang, Yue Shang, Rui Li +5

Result relevance scoring is critical to e-commerce search user experience. Traditional information retrieval methods focus on keyword matching and hand-crafted or counting-based nu…

cs.CV2020

Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network

Rui Li, Shunyi Zheng, Chenxi Duan +1

In this paper, a Multi-Scale Fully Convolutional Network (MSFCN) with multi-scale convolutional kernel is proposed to exploit discriminative representations from two-dimensional (2…

cs.AI2026

DELTAMEM: Incremental Experience Memory for LLM Agents via Residual Trees

Haoran Tan, Zeyu Zhang, Zhicheng Cao +2

Large Language Model (LLM)-based agents increasingly rely on memory to learn from experiences over continual interactions. However, storing experiences as independent, flat units l…

cs.CV2022

Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation

Zekang Chen, Jia Wei, Rui Li

In clinical practice, well-aligned multi-modal images, such as Magnetic Resonance (MR) and Computed Tomography (CT), together can provide complementary information for image-guided…

hep-ex2025

Initial performance results of the JUNO detector

Angel Abusleme, Thomas Adam, Kai Adamowicz +1131

The Jiangmen Underground Neutrino Observatory (JUNO) started physics data taking on 26 August 2025. JUNO consists of a 20-kton liquid scintillator central detector, surrounded by a…

astro-ph.IM2025

The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC 2025)

Jaime Álvarez-Muñiz, Rafael Alves Batista, Aurélien Benoit-Lévy +133

The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses la…

physics.comp-ph2024

Introducing GPU-acceleration into the Python-based Simulations of Chemistry Framework

Rui Li, Qiming Sun, Xing Zhang +1

We introduce the first version of GPU4PySCF, a module that provides GPU acceleration of methods in PySCF. As a core functionality, this provides a GPU implementation of two-electro…

cs.AI2026

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning

Yiqun Chen, Jinyuan Feng, Wei Yang +9

The inference overhead induced by redundant reasoning undermines the interactive experience and severely bottlenecks the deployment of Large Reasoning Models. Existing reinforcemen…

physics.atom-ph2025

Theoretical study on excited states of ICl+ molecular ion considering spin-orbit coupling

Rui Li, Ronglong Dou, Ting Gao +2

The electronic structure of the ICl+ molecular ion is investigated by using high-level multireference configuration interaction (MRCI) method. To improve computational accuracy, Da…

quant-ph2021

Optimal model for fewer-qubit CNOT gates with Rydberg atoms

Rui Li, Shurui Li, Dongmin Yu +2

Fewer-qubit quantum logic gate, serving as a basic unit for constructing universal multiqubit gates, has been widely applied in quantum computing and quantum information. However,…

eess.SY2018

Fast Rigid 3D Registration Solution: A Simple Method Free of SVD and Eigen-Decomposition

Jin Wu, Ming Liu, Zebo Zhou +1

A novel solution is obtained to solve the rigid 3D registration problem, motivated by previous eigen-decomposition approaches. Different from existing solvers, the proposed algorit…

cs.NE2021

Research on Fitness Function of Two Evolution Algorithms Used for Neutron Spectrum Unfolding

Rui Li, Jianbo Yang, Xianguo Tuo +1

When evolution algorithms are used to unfold the neutron energy spectrum, fitness function design is an important fundamental work for evaluating the quality of the solution, but i…

cond-mat.str-el2018

Structural and magnetic properties of CeZnAl single crystals

Qian Liu, Bin Shen, Michael Smidman +6

We have synthesized single crystals of CeZnAl, which is a new member of the family of the Ce-based intermetallics Ce ( = transition metal, = Si, Ge, Al), crystalliz…

cond-mat.mes-hall2022

Searching strong `spin'-orbit coupled one-dimensional hole gas in strong magnetic fields

Rui Li

We show that a strong `spin'-orbit coupled one-dimensional (1D) hole gas is achievable via applying a strong magnetic field to the original two-fold degenerate (spin degeneracy) ho…

cs.CV2026

Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation

Rui Li, Ke Hao, Yuanzhi Liang +4

Reinforcement learning, particularly Group Relative Policy Optimization (GRPO), has emerged as an effective framework for post-training visual generative models with human preferen…

cs.LG2023

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

Rui Li, ST John, Arno Solin

Approximate inference in Gaussian process (GP) models with non-conjugate likelihoods gets entangled with the learning of the model hyperparameters. We improve hyperparameter learni…

cs.LG2024

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization

Rui Li, Chaozhuo Li, Yanming Shen +2

Recent advances in knowledge graph embedding (KGE) rely on Euclidean/hyperbolic orthogonal relation transformations to model intrinsic logical patterns and topological structures.…

astro-ph.IM2026

A Wavelet-Integrated Search Pipeline for Narrowband Technosignatures in FAST Observations of 33 Exoplanet Systems

Zi-Qi Li, Jian-Kang Li, Zhe-Wei Luo +14

Building on prior FAST targeted and blind SETI campaigns toward 33 exoplanet systems, we introduce a wavelet-integrated search pipeline for narrowband technosignature candidates in…

math.AP2018

Some monotone properties for solutions to a reaction-diffusion model

Rui Li, Lou Yuan

Motivated by the recent investigation of a predator-prey model in heterogeneous environments \cite{LouYuan-WangBiao}, we show that the maximum of the unique positive solution of th…

cs.CV2026

Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

Yuanji Zhang, Yuhao Huang, Haoran Dou +28

Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of experienced specialists…

cs.RO2026

UniVTAC: A Unified Simulation Platform for Visuo-Tactile Manipulation Data Generation, Learning, and Benchmarking

Baijun Chen, Weijie Wan, Tianxing Chen +13

Robotic manipulation has seen rapid progress with vision-language-action (VLA) policies. However, visuo-tactile perception is critical for contact-rich manipulation, as tasks such…

cs.LG2019

Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments

Shujie Han, Jun Wu, Erci Xu +7

To provide proactive fault tolerance for modern cloud data centers, extensive studies have proposed machine learning (ML) approaches to predict imminent disk failures for early rem…

astro-ph.GA2025

Discovery of 19 strongly-lensed quasars, dual and projected quasars in DESI-LS

Zizhao He, Qihang Chen, Limeng Deng +5

We report the follow-up spectroscopic confirmation of two lensed quasars, six dual quasars, and eleven projected quasars that were previously identified as lensed-quasar candidates…

math.AP2024

Nonlinear stability threshold for compressible Couette flow

Feimin Huang, Rui Li, Lingda Xu

This paper concerns the Couette flow for 2-D compressible Navier-Stokes equations (N-S) in an infinitely long flat torus $\Torus\times\R$. Compared to the incompressible flow, the…

astro-ph.GA2020

Central velocity dispersion catalog of LAMOST-DR7 galaxies

Nicola R. Napolitano, Giuseppe D'Ago, Crescenzo Tortora +6

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) is a major facility to carry out spectroscopic surveys for cosmology and galaxy evolution studies. The sevent…

cs.AI2026

Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance

Chengrui Li, Rujing Li, Yitong Bai +1

Industrial asset operations and maintenance question answering is inherently multi-turn, iterative, and highly dependent on external tool invocation. However, the conventional plan…

cs.CV2025

Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views

Jiang Wu, Rui Li, Yu Zhu +3

We present a Gaussian Splatting method for surface reconstruction using sparse input views. Previous methods relying on dense views struggle with extremely sparse Structure-from-Mo…

q-bio.NC2015

Survival analysis, the infinite Gaussian mixture model, FDG-PET and non-imaging data in the prediction of progression from mild cognitive impairment

Rui Li, Robert Perneczky, Alexander Drzezga +1

We present a method to discover interesting brain regions in [18F] fluorodeoxyglucose positron emission tomography (PET) scans, showing also the benefits when PET scans are in comb…

cs.RO2026

Graph-Loc: Robust Graph-Based LiDAR Pose Tracking with Compact Structural Map Priors under Low Observability and Occlusion

Wentao Zhao, Yihe Niu, Zikun Chen +4

Map-based LiDAR pose tracking is essential for long-term autonomous operation, where onboard map priors need be compact for scalable storage and fast retrieval, while online observ…

physics.acc-ph2014

Pseudo Slice Energy Spread in Dynamics of Electron Beams Moving through Magnetic Bends

Rui Li

In the previous canonical formulation of beam dynamics for an electron bunch moving ultrarelativistically through magnetic bending systems, we have shown that the transverse dynami…

cs.LG2026

WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing

Young D. Kwon, Miles Williams, Rui Li +2

The autoregressive nature of large language models (LLMs) remains a significant bottleneck for inference, particularly in complex agentic workloads. While speculative decoding (SD)…

cs.CV2025

From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models

Muzhi Dai, Jiashuo Sun, Zhiyuan Zhao +4

Aligning large vision-language models (LVLMs) with human preferences is challenging due to the scarcity of fine-grained, high-quality, and multimodal preference data without human…

math.AG2025

The Nakai Conjecture for isolated hypersurface singularities of modality

Rui Li, Zida Xiao, Huaiqing Zuo

The well-known Nakai Conjecture concerns a very natural question: For an algebra of finite type over a characteristic zero field, if the ring of its differential operators is gener…

hep-ex2026

A Low-energy Threshold and Multi-messenger Trigger System for the JUNO Experiment

Thomas Adam, Fengpeng An, Costas Andreopoulos +563

The paper presents a new multi‑messenger trigger system for the JUNO liquid‑scintillator detector that lowers the energy threshold to about 110 keV and adds real‑time monitoring of…

#low-energy trigger#multi-messenger detection#neutrino observatory#supernova neutrino bursts
cs.CV2020

Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal

Chenxi Duan, Rui Li

In remote sensing images, the existence of the thin cloud is an inevitable and ubiquitous phenomenon that crucially reduces the quality of imageries and limits the scenarios of app…

cs.CL2025

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

Rui Li, Quanyu Dai, Zeyu Zhang +3

Recent advances in retrieval-augmented generation (RAG) furnish large language models (LLMs) with iterative retrievals of relevant information to handle complex multi-hop questions…

cond-mat.supr-con2021

Evolution of superconductivity and charge order in pressurized RbVSb

Feng Du, Shuaishuai Luo, Rui Li +5

The kagome metals VSb ( K, Rb, Cs) under ambient pressure exhibit an unusual charge order, from which superconductivity emerges. In this work, by applying hydrostati…

astro-ph.GA2022

Velocity-resolved Reverberation Mapping of Changing-look Active Galactic Nucleus NGC~4151 During Outburst Stage: Evidence for Kinematics Evolution of Broad-line Region

Sha-Sha Li, Hai-Cheng Feng, H. T. Liu +6

Changing-look active galactic nucleus NGC~4151, which has attracted a lot of attention, is undergoing the second dramatic outburst stage in its evolutionary history. To investigate…

hep-ph2025

Constraints on Velocity and Spin Dependent Exotic Interaction at the Millimeter Scale with a Diamagnetic-levitated Force Sensor

Kenan Tian, Yuanji Sheng, Rui Li +8

Light bosons, beyond the standard model and as prominent candidates for dark matter, can mediate velocity and spin dependent exotic interaction between electron spins and nucleons.…

quant-ph2025

High-fidelity all-microwave CZ gate with partial erasure-error detection via a transmon coupler

Shotaro Shirai, Shinichi Inoue, Shuhei Tamate +3

Entangling gates between neighboring physical qubits are essential for quantum error correction. Implementing them in an all-microwave manner simplifies signal routing and control…

cs.DC2026

Generation Quality-Latency Tradeoff-Aware Inference Offloading for Multimodal LLMs in Cloud-Edge Continuum

Zhongxiao Wang, Yueshen Xu, Xinkui Zhao +2

Beyond pure cloud, some efforts are being made to deploy Large Language Models (LLMs) in edge to accelerate inference response. So the deployment of LLMs in cloud-edge continuum be…

cs.CV2025

DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction

Xueqiang Ouyang, Jia Wei, Wenjie Huo +3

Temporal embryo images and parental fertility table indicators are both valuable for pregnancy prediction in \textbf{in vitro fertilization embryo transfer} (IVF-ET). However, curr…

cs.CV2024

Improving Chinese Character Representation with Formation Tree

Yang Hong, Yinfei Li, Xiaojun Qiao +2

Learning effective representations for Chinese characters presents unique challenges, primarily due to the vast number of characters and their continuous growth, which requires mod…

cs.CL2019

Use of OWL and Semantic Web Technologies at Pinterest

Rafael S. Gonçalves, Matthew Horridge, Rui Li +6

Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, an…

cs.CL2024

Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering

Hongyu Yang, Liyang He, Min Hou +5

Code Community Question Answering (CCQA) seeks to tackle programming-related issues, thereby boosting productivity in both software engineering and academic research. Recent advanc…

cs.CV2024

The Third Monocular Depth Estimation Challenge

Jaime Spencer, Fabio Tosi, Matteo Poggi +38

This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC). The challenge focuses on zero-shot generalization to the challenging SYNS-…

physics.ins-det2024

Scalable DAQ system operating the CHIPS-5 neutrino detector

Belén Alonso Rancurel, Son Cao, Thomas J. Carroll +57

The CHIPS R&D project focuses on development of low-cost water Cherenkov neutrino detectors through novel design strategies and resourceful engineering. This work presents an end-t…

cond-mat.supr-con2026

Pressure-induced superconductivity beyond magnetic quantum criticality in a Kondo ferromagnet

Yanan Zhang, Yongjun Zhang, Jiawen Zhang +13

Quantum phase transitions are an established setting for emergent phenomena driven by strong electronic correlations, including strange metals and unconventional superconductivity.…

quant-ph2019

Room temperature test of the Continuous Spontaneous Localization model using a levitated micro-oscillator

Di Zheng, Yingchun Leng, Xi Kong +9

The Continuous Spontaneous Localization (CSL) model predicts a tiny break of energy conservation via a weak stochastic force acting on physical systems, which triggers the collapse…

cs.CL2025

CursorCore: Assist Programming through Aligning Anything

Hao Jiang, Qi Liu, Rui Li +2

Large language models have been successfully applied to programming assistance tasks, such as code completion, code insertion, and instructional code editing. However, these applic…

cond-mat.mes-hall2019

Charge noise induced spin dephasing in a nanowire double quantum dot with spin-orbit coupling

Rui Li

Unexpected fluctuating charge field near a semiconductor quantum dot has severely limited the coherence time of the localized spin qubit. It is the interplay between the spin-orbit…

math.CO2025

Spectral Radius of Graphs with Size Constraints: Resolving a Conjecture of Guiduli

Rui Li, Anyao Wang, Mingqing Zhai

We resolve a problem posed by Guiduli (1996) on the spectral radius of graphs satisfying the Hereditarily Bounded Property , which requires that every subgraph with $|…

cond-mat.mes-hall2018

The impacts of the quantum-dot confining potential on the spin-orbit effect

Rui Li, Zhi-Hai Liu, Yidong Wu +1

For a nanowire quantum dot with the confining potential modeled by both the infinite and the finite square wells, we obtain exactly the energy spectrum and the wave functions in th…

cs.CL2026

LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories

Baochang Ren, Xinjie Liu, Xi Chen +15

Scientific laboratories increasingly rely on AI systems to reason about experiments, but the physical act of doing science remains largely outside their reach. AI can help read lit…

cond-mat.supr-con2014

Robust antiferromagnetism preventing superconductivity in pressurized Ba0.61K0.39Mn2Bi2

Dachun Gu, Xia Dai, Congcong Le +16

Here, we report that K-doped BaMn2Bi2 shows no experimental evidence of superconductivity down to 1.5 K under pressures up to 35.6 GPa, however, a tetragonal to an orthorhombic pha…

cs.CV2024

Training-Free Large Model Priors for Multiple-in-One Image Restoration

Xuanhua He, Lang Li, Yingying Wang +7

Image restoration aims to reconstruct the latent clear images from their degraded versions. Despite the notable achievement, existing methods predominantly focus on handling specif…

cs.CL2024

Plug-and-Play Training Framework for Preference Optimization

Jingyuan Ma, Rui Li, Zheng Li +2

Recently, preference optimization methods such as DPO have significantly enhanced large language models (LLMs) in wide tasks including dialogue and question-answering. However, cur…

cs.SE2024

Can Large Language Models Generate Geospatial Code?

Shuyang Hou, Zhangxiao Shen, Jianyuan Liang +4

With the growing demand for spatiotemporal data processing and geospatial modeling, automating geospatial code generation has become essential for productivity. Large language mode…

cs.SD2021

Inferring Facing Direction from Voice Signals

Yu-Lin Wei, Rui Li, Abhinav Mehrotra +2

Consider a home or office where multiple devices are running voice assistants (e.g., TVs, lights, ovens, refrigerators, etc.). A human user turns to a particular device and gives a…

quant-ph2020

Single-spin scanning magnetic microscopy with radial basis function reconstruction algorithm

Cheng-Jie Wang, Rui Li, Bei Ding +7

Exotic magnetic structures, such as magnetic skyrmions and domain walls, are becoming more important in nitrogen-vacancy center scanning magnetometry. However, a systematic imaging…

astro-ph.EP2016

Very Low-Mass Stellar and Substellar Companions to Solar-like Stars From MARVELS VI: A Giant Planet and a Brown Dwarf Candidate in a Close Binary System HD 87646

Bo Ma, Jian Ge, Alex Wolszczan +34

We report the detections of a giant planet (MARVELS-7b) and a brown dwarf candidate (MARVELS-7c) around the primary star in the close binary system, HD 87646. It is the first close…

cs.CV2026

Rethinking Reward Signals in Video GRPO: When Scores Become Targets

Rui Li, Yuanzhi Liang, Ziqi Ni +3

The paper proposes TaRoS, a framework that redesigns reward signals for video generation using GRPO to avoid reward hacking and saturation, improving visual fidelity, motion cohere…

#video generation#reinforcement learning#reward design#policy optimization
eess.IV2024

Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI Reconstruction

Zhongsen Li, Wenxuan Chen, Shuai Wang +3

The inductive bias of the convolutional neural network (CNN) can be a strong prior for image restoration, which is known as the Deep Image Prior (DIP). Recently, DIP is utilized in…

astro-ph.CO2023

Search for ultralight dark matter with a frequency adjustable diamagnetic levitated sensor

Rui Li, Shaochun Lin, Liang Zhang +3

Among several dark matter candidates, bosonic ultralight (sub meV) dark matter is well motivated because it could couple to the Standard Model (SM) and induce new forces. Previous…

physics.optics2009

Enhanced Light Emission from Erbium Doped Silicon Nitride in Plasmonic Metal-Insulator-Metal Structures

Yiyang Gong, Selcuk Yerci, Rui Li +2

Plasmonic gratings and nano-particle arrays in a metal-insulator-metal structures are fabricated on an erbium doped silicon nitride layer. This material system enables simple fabri…

eess.IV2020

LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification

Rui Li, Chenxi Duan

Hyperspectral Image (HSI) classification based on deep learning has been an attractive area in recent years. However, as a kind of data-driven algorithm, deep learning method usual…

cs.CL2025

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming

Rui Li, Peiyi Wang, Jingyuan Ma +3

Large Language Models (LLMs) have gained increasing attention for their remarkable capacity, alongside concerns about safety arising from their potential to produce harmful content…

astro-ph.GA2025

Optical+NIR analysis of a Newly Confirmed Einstein ring at z1 from the Kilo-Degree Survey: Dark matter fraction, total and dark matter density slope and IMF

Rui Li, Nicola R. Napolitano, Giuseppe D Ago +16

We report the spectroscopic confirmation of a bright blue Einstein ring in the Kilo Degree Survey (KiDS) footprint: the Einstein ``blue eye''. Spectroscopic data from X-Shooter at…

math.CO2026

Advances on two spectral conjectures regarding booksize of graphs

Mingqing Zhai, Rui Li, Zhenzhen Lou

The booksize of a graph , introduced by Erdős, refers to the maximum integer for which contains the book as a subgraph. This paper invest…

cs.SI2021

Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers

Shangbin Feng, Zhaoxuan Tan, Rui Li +1

Twitter bot detection has become an important and challenging task to combat misinformation and protect the integrity of the online discourse. State-of-the-art approaches generally…

cs.NI2018

DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls

Rui Li, Chaoyun Zhang, Paul Patras +2

Advances in network programmability enable operators to 'slice' the physical infrastructure into independent logical networks. By this approach, each network slice aims to accommod…

astro-ph.EP2026

Developing and characterizing a new-generation regolith simulant "IGCAS-AST01" for the Tianwen-2 target asteroid (469219) Kamo'oalewa

Pengfei Zhang, Zichen Wei, Takahiro Hiroi +12

China plans to return samples from the near-Earth asteroid (469219) Kamo'oalewa, which we previously identified as an LL-chondrite-compositional, highly space-weathered object with…

cs.CV2025

Eye-Tracking, Mouse Tracking, Stimulus Tracking,and Decision-Making Datasets in Digital Pathology

Veronica Thai, Rui Li, Meng Ling +7

Interpretation of giga-pixel whole-slide images (WSIs) is an important but difficult task for pathologists. Their diagnostic accuracy is estimated to average around 70%. Adding a s…

cs.CV2020

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound

Yuhao Huang, Xin Yang, Rui Li +10

3D ultrasound (US) is widely used due to its rich diagnostic information, portability and low cost. Automated standard plane (SP) localization in US volume not only improves effici…

hep-ex2024

Model Independent Approach of the JUNO B Solar Neutrino Program

JUNO Collaboration, Jie Zhao, Baobiao Yue +593

The physics potential of detecting B solar neutrinos will be exploited at the Jiangmen Underground Neutrino Observatory (JUNO), in a model independent manner by using three dis…

cs.CL2025

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning

Tao Liu, Xutao Mao, Hongying Zan +12

Text-to-SQL is a critical task in natural language processing that aims to transform natural language questions into accurate and executable SQL queries. In real-world scenarios, t…

cond-mat.quant-gas2024

What can we learn from the experiment of electrostatic conveyor belt for excitons?

T. T. Zhao, Rui Li, C. S. Liu

Motivated by the experiment of electrostatic conveyor belt for indirect excitons [A. G. Winbow, \textit{et al.}, Phys. Rev. Lett. \textbf{106}, 196806 (2011)], we study the exciton…

cs.CV2023

Bootstrap The Original Latent: Learning a Private Model from a Black-box Model

Shuai Wang, Daoan Zhang, Jianguo Zhang +2

In this paper, considering the balance of data/model privacy of model owners and user needs, we propose a new setting called Back-Propagated Black-Box Adaptation (BPBA) for users t…