Publications (97)
JUNO Sensitivity to Invisible Decay Modes of Neutrons
JUNO Collaboration, Angel Abusleme, Thomas Adam +651
We explore the decay of bound neutrons into invisible particles (e.g., or ) in the JUNO liquid scintillator detector, which do not produce…
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
Guibin Zhang, Muxin Fu, Guancheng Wan +3
Large language model (LLM)-powered multi-agent systems (MAS) have demonstrated cognitive and execution capabilities that far exceed those of single LLM agents, yet their capacity f…
Online Testing of Subgroup Treatment Effects Based on Value Difference
Miao Yu, Wenbin Lu, Rui Song
Online A/B testing plays a critical role in the high-tech industry to guide product development and accelerate innovation. It performs a null hypothesis statistical test to determi…
Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models
Liang Lin, Miao Yu, Moayad Aloqaily +5
Backdoor attacks are a significant threat to large language models (LLMs), often embedded via public checkpoints, yet existing defenses rely on impractical assumptions about trigge…
SafeSeek: Universal Attribution of Safety Circuits in Language Models
Miao Yu, Siyuan Fu, Moayad Aloqaily +6
Mechanistic interpretability reveals that safety-critical behaviors (e.g., alignment, jailbreak, backdoor) in Large Language Models (LLMs) are grounded in specialized functional co…
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
Miao Yu, Junfeng Fang, Yingjie Zhou +4
While safety-aligned large language models (LLMs) are increasingly used as the cornerstone for powerful systems such as multi-agent frameworks to solve complex real-world problems,…
Quantification of propidium iodide delivery with millisecond electric pulses: A model study
Miao Yu, Hao Lin
A model study of propidium iodide delivery with millisecond electric pulses is presented; this work is a companion of the experimental efforts by Sadik et al. [1]. Both membrane pe…
Long-term Monitoring of Kernel and Hardware Events to Understand Latency Variance
Fang Zhou, Yuyang Huang, Miao Yu +3
This paper presents our experience to understand latency variance caused by kernel and hardware events, which are often invisible at the application level. For this purpose, we hav…
Directional Acoustic Luneburg Lens Waveguide
Liuxian Zhao, Timothy Horiuchi, Miao Yu
This paper investigates the acoustic Luneburg Lens (ALL) as a design framework for guiding acoustic wave propagation. In this study, we propose to develop an acoustic waveguide bas…
Performance Assessment of Feature Detection Methods for 2-D FS Sonar Imagery
Hitesh Kyatham, Shahriar Negahdaripour, Michael Xu +3
Underwater robot perception is crucial in scientific subsea exploration and commercial operations. The key challenges include non-uniform lighting and poor visibility in turbid env…
AgentAsk: Multi-Agent Systems Need to Ask
Bohan Lin, Kuo Yang, Zelin Tan +8
Multi-agent systems (MAS) built on large language models promise improved problem-solving through collaboration, yet they often fail to consistently outperform strong single-agent…
PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting
Huapeng Lin, Miao Yu
The rapid proliferation of solar energy has significantly expedited the integration of photovoltaic (PV) systems into contemporary power grids. Considering that the cloud dynamics…
MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions
Yuantong Li, Lei Yuan, Zhihao Zheng +27
Modern recommendation systems rank candidates by aggregating multiple behavioral signals through a value model. However, many commonly used signals are inherently affected by heter…
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang, Yanwei Yue, Xiangguo Sun +6
Recent advancements in large language model (LLM)-based agents have demonstrated that collective intelligence can significantly surpass the capabilities of individual agents, prima…
Feasibility and physics potential of detecting B solar neutrinos at JUNO
JUNO collaboration, Angel Abusleme, Thomas Adam +589
The Jiangmen Underground Neutrino Observatory~(JUNO) features a 20~kt multi-purpose underground liquid scintillator sphere as its main detector. Some of JUNO's features make it an…
Defect detection for patterned fabric images based on GHOG and low-rank decomposition
Chunlei Li, Guangshuai Gao, Zhoufeng Liu +3
In order to accurately detect defects in patterned fabric images, a novel detection algorithm based on Gabor-HOG (GHOG) and low-rank decomposition is proposed in this paper. Defect…
UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning
Xiaomin Lin, Nare Karapetyan, Kaustubh Joshi +5
Autonomous navigation in the underwater environment is challenging due to limited visibility, dynamic changes, and the lack of a cost-efficient accurate localization system. We int…
Event vertex and time reconstruction in large volume liquid scintillator detector
Ziyuan Li, Yumei Zhang, Guofu Cao +9
Large-volume liquid scintillator detectors with ultra-low background levels have been widely used to study neutrino physics and search for dark matter. Event vertex and event time…
Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models
Miao Yu, Zhenhong Zhou, Moayad Aloqaily +5
Fine-tuned Large Language Models (LLMs) are vulnerable to backdoor attacks through data poisoning, yet the internal mechanisms governing these attacks remain a black box. Previous…
Improving the energy uniformity for large liquid scintillator detectors
Guihong Huang, Yifang Wang, Wuming Luo +8
It is challenging to achieve high precision energy resolution for large liquid scintillator detectors. Energy non-uniformity is one of the main obstacles. To surmount it, a calibra…
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia
Miao Yu, Junyuan Mao, Guibin Zhang +7
Research into the external behaviors and internal mechanisms of large language models (LLMs) has shown promise in addressing complex tasks in the physical world. Studies suggest th…
On-Surface Decarboxylation Coupling Facilitated by Lock-to-Unlock Variation of Molecules upon the Reaction
Shaoshan Wang, Zhuo Li, Pengcheng Ding +10
On-surface synthesis (OSS) involving relatively high energy barriers remains challenging due to a typical dilemma: firm molecular anchor is required to prevent molecular desorption…
Detecting and Counting Oysters
Behzad Sadrfaridpour, Yiannis Aloimonos, Miao Yu +2
Oysters are an essential species in the Chesapeake Bay living ecosystem. Oysters are filter feeders and considered the vacuum cleaners of the Chesapeake Bay that can considerably i…
A novel ultrasonic device for monitoring implant condition
Amirhossein Yazdkhasti, Sophie Lloyd, Joseph H. Schwab +2
Every year more than 2.3 million joint replacement is performed worldwide. Around 10% of these replacements fail those results in revisions at a cost of $8 billion per year. In par…
A Survey on Trustworthy LLM Agents: Threats and Countermeasures
Miao Yu, Fanci Meng, Xinyun Zhou +9
With the rapid evolution of Large Language Models (LLMs), LLM-based agents and Multi-agent Systems (MAS) have significantly expanded the capabilities of LLM ecosystems. This evolut…
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Kun Wang, Guibin Zhang, Zhenhong Zhou +100
The remarkable success of Large Language Models (LLMs) has illuminated a promising pathway toward achieving Artificial General Intelligence for both academic and industrial communi…
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator
Miao Yu, Tingting Xiang, Venkata Pavan Kumar Miriyala +1
Machine learning, particularly deep neural network inference, has become a vital workload for many computing systems, from data centers and HPC systems to edge-based computing. As…
ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety
Kun Wang, Cheng Qian, Miao Yu +6
Multimodal Large Language Models (MLLMs) have achieved remarkable success in cross-modal understanding and generation, yet their deployment is threatened by critical safety vulnera…
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…
SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
Xiaomin Lin, Cheng Liu, Allen Pattillo +2
Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile applicability. With UAVs' growth in availability and applications, they are now of vital importance in servin…
Sub-percent Precision Measurement of Neutrino Oscillation Parameters with JUNO
JUNO Collaboration, Angel Abusleme, Thomas Adam +596
JUNO is a multi-purpose neutrino observatory under construction in the south of China. This publication presents new sensitivity estimates for the measurement of the ,…
SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models
Huahui Yi, Kun Wang, Qiankun Li +7
Multimodal Large Reasoning Models (MLRMs) demonstrate impressive cross-modal reasoning but often amplify safety risks under adversarial or unsafe prompts, a phenomenon we call the…
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…
Mass Testing and Characterization of 20-inch PMTs for JUNO
Angel Abusleme, Thomas Adam, Shakeel Ahmad +556
Main goal of the JUNO experiment is to determine the neutrino mass ordering using a 20kt liquid-scintillator detector. Its key feature is an excellent energy resolution of at least…
Dynamic Parallel and Distributed Graph Cuts
Miao Yu, Shuhan Shen, Zhanyi Hu
Graph-cuts are widely used in computer vision. In order to speed up the optimization process and improve the scalability for large graphs, Strandmark and Kahl introduced a splittin…
Switchable Skyrmion-Antiskyrmion Tubes in Rhombohedral BaTiO and Related Materials
Fernando Gómez-Ortiz, Louis Bastogne, Sriram Anand +3
Skyrmions are stable topological textures that have garnered substantial attention within the ferroelectric community for their exotic functional properties. While previous studies…
A New Framework for Online Testing of Heterogeneous Treatment Effect
Miao Yu, Wenbin Lu, Rui Song
We propose a new framework for online testing of heterogeneous treatment effects. The proposed test, named sequential score test (SST), is able to control type I error under contin…
Potential to identify neutrino mass ordering with reactor antineutrinos at JUNO
JUNO Collaboration, Angel Abusleme, Thomas Adam +622
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose neutrino experiment under construction in South China. This paper presents an updated estimate of JUNO's sen…
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads
Zixuan Li, Haiying Lin, Zhangyu Wang +3
Ground segmentation, as the basic task of unmanned intelligent perception, provides an important support for the target detection task. Unstructured road scenes represented by open…
JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo
JUNO Collaboration, Angel Abusleme, Thomas Adam +596
We discuss JUNO sensitivity to the annihilation of MeV dark matter in the galactic halo via detecting inverse beta decay reactions of electron anti-neutrinos resulting from the ann…
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook
Kaiwen Luo, Zhenhong Zhou, Leo Wang +34
Advances in Large Language Models (LLMs) have paved the way for Multimodal Large Language Models (MLLMs). Among these, Large Audio Language Models (LALMs) are essential for realizi…
Role of long-range dipolar interactions in the simulation of the properties of polar crystals using effective atomic potentials
Miao Yu, Fernando Gómez-Ortiz, Louis Bastogne +2
Driven by novel approaches and computational techniques, second-principles atomic potentials are nowadays at the forefront of computational materials science, enabling large-scale…
Determine Energy Nonlinearity and Resolution of and in Liquid Scintillator Detectors by A Universal Energy Response Model
Miao Yu, Liangjian Wen, Xiang Zhou +1
Energy nonlinearity and resolution in liquid scintillator (LS) detectors are correlated and particle-dependent. A unified energy response model for liquid scintillator detectors ha…
Measurements of Rayleigh Ratios in Linear Alkylbenzene
Miao Yu, Wenjie Wu, Na Peng +6
In present work an experiment has been designed to measure the Rayleigh ratio directly at nm and nm for linear alkylbenzene which is a common solvent used in liquid sci…
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment through Latent Acoustic Pattern Triggers
Liang Lin, Miao Yu, Kaiwen Luo +9
As Audio Large Language Models (ALLMs) emerge as powerful tools for speech processing, their safety implications demand urgent attention. While considerable research has explored t…
SBP-YOLO:A Lightweight Real-Time Model for Detecting Speed Bumps and Potholes toward Intelligent Vehicle Suspension Systems
Chuanqi Liang, Jie Fu, Miao Yu +1
Speed bumps and potholes are the most common road anomalies, significantly affecting ride comfort and vehicle stability. Preview-based suspension control mitigates their impact by…
Calibration Strategy of the JUNO Experiment
JUNO collaboration, Angel Abusleme, Thomas Adam +588
We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multi…
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM
Huapeng Lin, Miao Yu
Distributed photovoltaic (DPV) systems are essential for advancing renewable energy applications and achieving energy independence. Accurate DPV power forecasting can optimize powe…
The Design and Sensitivity of JUNO's scintillator radiopurity pre-detector OSIRIS
JUNO Collaboration, Angel Abusleme, Thomas Adam +598
The OSIRIS detector is a subsystem of the liquid scintillator fillling chain of the JUNO reactor neutrino experiment. Its purpose is to validate the radiopurity of the scintillator…
TAO Conceptual Design Report: A Precision Measurement of the Reactor Antineutrino Spectrum with Sub-percent Energy Resolution
JUNO Collaboration, Angel Abusleme, Thomas Adam +585
The Taishan Antineutrino Observatory (TAO, also known as JUNO-TAO) is a satellite experiment of the Jiangmen Underground Neutrino Observatory (JUNO). A ton-level liquid scintillato…
JUNO sensitivity to Be, , and CNO solar neutrinos
Angel Abusleme, Thomas Adam, Shakeel Ahmad +609
The Jiangmen Underground Neutrino Observatory (JUNO), the first multi-kton liquid scintillator detector, which is under construction in China, will have a unique potential to perfo…
Simulation Software of the JUNO Experiment
Tao Lin, Yuxiang Hu, Miao Yu +31
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose experiment, under construction in southeast China, that is designed to determine the neutrino mass ordering…
Acoustic jet based on acoustic metamaterial
Liuxian Zhao, Timothy Horiuchi, Miao Yu
In this paper, a novel gradient index (GRIN) acoustic metamaterial is proposed based on the concept of optical modified generalized Luneburg lens (MGLL). With the MGLL, double-foci…
A Monte Carlo Method for Rayleigh Scattering in Liquid Detectors
Miao Yu, Wenjie Wu, Yayun Ding +4
A new Monte Carlo method has been implemented to describe the angular and polarization distributions of anisotropic liquids, like water and linear alkylbenzene, by considering orie…
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
Shilong Wang, Guibin Zhang, Miao Yu +5
Large Language Model (LLM)-based Multi-agent Systems (MAS) have demonstrated remarkable capabilities in various complex tasks, ranging from collaborative problem-solving to autonom…
JUNO Sensitivity on Proton Decay Searches
JUNO Collaboration, Angel Abusleme, Thomas Adam +602
The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on…
Acoustic Lenses Design based on the Rays Inserting Method
Liuxian Zhao, Chuanxing Bi, Miao Yu
The ability to control and manipulate elastic waves is important for applications such as structural health monitoring, signal processing, and vibration isolations. In this paper,…
JUNO Physics and Detector
JUNO Collaboration, Angel Abusleme, Thomas Adam +607
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20 kton LS detector at 700-m underground. An excellent energy resolution and a large fiducial volume offer exciting opport…
Radioactivity control strategy for the JUNO detector
JUNO collaboration, Angel Abusleme, Thomas Adam +594
JUNO is a massive liquid scintillator detector with a primary scientific goal of determining the neutrino mass ordering by studying the oscillated anti-neutrino flux coming from tw…
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…
First measurement of reactor neutrino oscillations at JUNO
Angel Abusleme, Thomas Adam, Kai Adamowicz +1131
Neutrino oscillations, a quantum effect manifesting at macroscopic scales, are governed by lepton flavor mixing angles and neutrino mass-squared differences that are fundamental pa…
A Trajectory-Driven Spatio-Temporal Refinement Solution for CVPR 2026 8th UG2+ Challenge Track 3: DOST
Hongzhen Li, Miao Yu, Leilei Cao +3
In this work, we present our solution for the 8th UG2+ Challenge (CVPR 2026) Track 3: Dynamic Object Segmentation in Turbulence (DOST). Our method is built upon the strong baseline…
On the calculation of upper variance under multiple probabilities
Xinpeng Li, Miao Yu, Shiyi Zheng
The notion of upper variance under multiple probabilities is defined by a corresponding minimax optimization problem. This paper proposes a simple algorithm to solve the related mi…
MQXFA Final Design Report
Giorgio Ambrosio, Kathleen Amm, Mike Anerella +29
The MQXFA Quadrupole magnets will be installed in High Luminosity LHC to form the Q1 and Q3 inner triplet optical elements in front of the interaction points 1 (ATLAS) and 5 (CMS).…
Damping signatures at JUNO, a medium-baseline reactor neutrino oscillation experiment
JUNO collaboration, Jun Wang, Jiajun Liao +598
We study damping signatures at the Jiangmen Underground Neutrino Observatory (JUNO), a medium-baseline reactor neutrino oscillation experiment. These damping signatures are motivat…
Neutron particle transport 3D method of characteristic Multi GPU platform Parallel Computing
Faguo Zhou, Shunde Li, Rong Xue +9
Three-dimensional neutron transport calculations using the Method of Characteristics (MOC) are highly regarded for their exceptional computational efficiency, precision, and stabil…
JUNO sensitivity to low energy atmospheric neutrino spectra
JUNO Collaboration, Angel Abusleme, Thomas Adam +604
Atmospheric neutrinos are one of the most relevant natural neutrino sources that can be exploited to infer properties about cosmic rays and neutrino oscillations. The Jiangmen Unde…
OysterSim: Underwater Simulation for Enhancing Oyster Reef Monitoring
Xiaomin Lin, Nitesh Jha, Mayank Joshi +3
Oysters are the living vacuum cleaners of the oceans. There is an exponential decline in the oyster population due to over-harvesting. With the current development of the automatio…
Ultrasound Beam Steering with Flattened Acoustic Metamaterial Luneburg Lens
Liuxian Zhao, Eitan Laredo, Olivia Ryan +5
We report ultrasound beam steering based on 2D and 3D flattened acoustic metamaterial Luneburg lenses at 40 kHz. The effective properties of the lenses are obtained by using the qu…
EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations
Xinyun Zhou, Xinfeng Li, Yinan Peng +9
Retrieval-Augmented Generation (RAG) systems are increasingly central to robust AI, enhancing large language model (LLM) faithfulness by incorporating external knowledge. However,…
Sonar-GPS Fusion for Seabed Mapping in Turbid Shallow Waters with an Autonomous Surface Vehicle
Yisheng Zhang, Michael Xu, Alan Williams +3
Accurate seabed mapping is essential for habitat monitoring and infrastructure inspection. In turbid, shallow coastal waters, such as shellfish aquaculture farms, the effectiveness…
ORKM: An R Package for Online Multi-View Data
Miao Yu, Guangbao Guo
We introduce a software package, denoted as ORKM, that incorporates the Online Regu larized K-Means Clustering (ORKMC) algorithm for processing online multi/single-view data. The f…
Intrinsic mechanism for spectral evolution in single-frequency Raman fiber amplifier
Liu Wei, Ma Pengfei, Miao Yu +3
In this work, the spectral evolution properties in single-frequency Raman fiber amplifier (RFA) with different pump manners are analyzed theoretically for the first time based on t…
Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
Qianhui Liu, Jing Yang, Miao Yu +4
Eye-based emotion recognition enables eyewear devices to perceive users' emotional states and support emotion-aware interaction. However, deploying such functionality on their reso…
Structural Lens Based on Variable Thickness Structures
Liuxian Zhao, Chuanxing Bi, Miao Yu
In this article, we report a lens design based on a concentric circular structure with continuous changing of thickness defined in a thin plate structure for focusing a plane wave…
Prediction of Energy Resolution in the JUNO Experiment
JUNO Collaboration, Angel Abusleme, Thomas Adam +645
This paper presents an energy resolution study of the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neut…
Adaptive Tracking Control of Soft Robots using Integrated Sensing Skin and Recurrent Neural Networks
Lasitha Weerakoon, Zepeng Ye, Rahul Subramonian Bama +3
In this paper, we study integrated estimation and control of soft robots. A significant challenge in deploying closed loop controllers is reliable proprioception via integrated sen…
Generalized Divergence Measures and Weak Convergence for the Sets of Probability Measures
Xinpeng Li, Miao Yu
This paper extends the asymmetric Kullback-Leibler divergence and symmetric Jensen-Shannon divergence from two probability measures to the case of two sets of probability measures.…
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Wenchi Ma, Miao Yu, Kaidong Li +1
Layer-wise learning, as an alternative to global back-propagation, is easy to interpret, analyze, and it is memory efficient. Recent studies demonstrate that layer-wise learning ca…
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management
Junyuan Mao, Fanci Meng, Yifan Duan +6
Large Language Model based multi-agent systems are revolutionizing autonomous communication and collaboration, yet they remain vulnerable to security threats like unauthorized acce…
Progressive Pose Attention Transfer for Person Image Generation
Zhen Zhu, Tengteng Huang, Baoguang Shi +3
This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. The generator of the network comprises a…
Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field
Lan Jiang, Yuchao Zheng, Miao Yu +3
Accurate brain tumor segmentation remains a challenging task due to structural complexity and great individual differences of gliomas. Leveraging the pre-eminent detail resilience…
Prospects for Detecting the Diffuse Supernova Neutrino Background with JUNO
JUNO Collaboration, Angel Abusleme, Thomas Adam +592
We present the detection potential for the diffuse supernova neutrino background (DSNB) at the Jiangmen Underground Neutrino Observatory (JUNO), using the inverse-beta-decay (IBD)…
NetSafe: Exploring the Topological Safety of Multi-agent Networks
Miao Yu, Shilong Wang, Guibin Zhang +6
Large language models (LLMs) have empowered nodes within multi-agent networks with intelligence, showing growing applications in both academia and industry. However, how to prevent…
Ultralong Wave Focusing via Generalized Luneburg Lens
Liuxian Zhao, Miao Yu
In this paper, a novel gradient index (GRIN) structural lens based on the concept of generalized Luneburg lens (GLL) is proposed. This lens allows for the realization of double foc…
Rayleigh scattering and depolarization ratio in linear alkylbenzene
Qian Liu, Xiang Zhou, Wenqian Huang +8
Linear alkylbenzene (LAB) is adopted to be the organic solvent for the Jiangmen Underground Neutrino Observatory (JUNO) liquid scintillator detectors due to the ultra-transparency.…
Real-time Monitoring for the Next Core-Collapse Supernova in JUNO
Angel Abusleme, Thomas Adam, Shakeel Ahmad +623
The core-collapse supernova (CCSN) is considered one of the most energetic astrophysical events in the universe. The early and prompt detection of neutrinos before (pre-SN) and dur…
Realization of Flattened Structural Luneburg Lens Based on Quasi-Conformal Transformation
Liuxian Zhao, Miao Yu
Conventional structural Luneburg lens is a symmetric circular gradient-index lens with refractive indices decreasing from the centre along the radial direction. In this paper, a fl…
Multi-Functional Variable Thickness Structure for Broadband and Omnidirectional Focusing and Collimation
Liuxian Zhao, Changquan Lai, Miao Yu
Luneburg lens is a symmetric gradient-index lens with a refractive index that increases from the outer surface to the center in a radial manner. It has the ability to focus and col…
Cartographer_glass: 2D Graph SLAM Framework using LiDAR for Glass Environments
Lasitha Weerakoon, Gurtajbir Singh Herr, Jasmine Blunt +2
We study algorithms for detecting and including glass objects in an optimization-based Simultaneous Localization and Mapping (SLAM) algorithm in this work. When LiDAR data is the p…
The JUNO experiment Top Tracker
JUNO Collaboration, Angel Abusleme, Thomas Adam +609
The main task of the Top Tracker detector of the neutrino reactor experiment Jiangmen Underground Neutrino Observatory (JUNO) is to reconstruct and extrapolate atmospheric muon tra…
Bi-functional Structural Luneburg Lens for Broadband Structural Wave Cloaking and Waveguide
Liuxian Zhao, Miao Yu
In this paper, we explore the concept of structural Luneburg Lens (SLL) as a design framework for performing dynamic structural tailoring to obtain a structural wave cloak and a st…
Multi-parameter mechanical and thermal sensing based on multi-mode planar photonic crystals
Yongyao Chen, Haijun Liu, Zhijian Zhang +1
This paper proposes a novel multifunctional sensing platform based on multimode planar photonic crystals (PPCs). We analytically and numerically demonstrate that the reflection spe…
UniErase: Towards Balanced and Precise Unlearning in Language Models
Miao Yu, Liang Lin, Guibin Zhang +7
Large language models (LLMs) require iterative updates to address the outdated information problem, where LLM unlearning offers an approach for selective removal. However, mainstre…
Subsurface Carbon-Induced Local Charge of Copper for On-Surface Displacement Reaction
Shaoshan Wang, Pengcheng Ding, Zhuo Li +8
Transition metal carbides have sparked unprecedented enthusiasm as high-performance catalysts in recent years. Still, the catalytic properties of copper (Cu) carbide remain unexplo…
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
Liang Lin, Zhihao Xu, Junhao Dong +10
Large language model (LLM) alignment faces a critical dilemma when addressing multiple human preferences: improvements in one dimension frequently come at the expense of others, cr…
Broadband Acoustic Collimation and Focusing using Reduced Aberration Acoustic Luneburg Lens
Liuxian Zhao, Miao Yu
Acoustic Luneburg lens is a symmetric gradient-index lens with a refractive index decreasing radially from the centre to the outer surface. It can be used to manipulate acoustic wa…