Publications (104)
Observation of integer and fractional quantum anomalous Hall effects in twisted bilayer MoTe2
Fan Xu, Zheng Sun, Tongtong Jia +13
The interplay between strong correlations and topology can lead to the emergence of intriguing quantum states of matter. One well-known example is the fractional quantum Hall effec…
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…
Maximally Localized Wannier Orbitals, Interaction Models and Fractional Quantum Anomalous Hall Effect in Twisted Bilayer MoTe2
Cheng Xu, Jiangxu Li, Yong Xu +2
We investigate the moiré band structures and the strong correlation effects in twisted bilayer MoTe for a wide range of twist angles, employing a combination of various techni…
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors
Haoxin Yang, Xuemiao Xu, Cheng Xu +5
Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving priv…
Hydrostatic Pressure-enhanced correlated magnetism and Chern insulator in moir'e WSe2
Pengfei Jiao, Chenghao Qian, Ning Mao +24
Moiré semiconductors offer flat bands where Coulomb interactions and band topology intertwine, while interlayer coupling plays a central role in forming the moiré potential. Howe…
Interface inter-atomic electron-transition induced photon emission in contact-electrification
Ding Li, Cheng Xu, Yanjun Liao +3
Contact electrification (CE) (or triboelectrification) is the phenomena where charges are produced through physical contact between two materials. Here we report the atomic feature…
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
Yiliang Chen, Steven SC Ho, Cheng Xu +4
Tongue diagnosis is a vital tool in Western and Traditional Chinese Medicine, providing key insights into a patient's health by analyzing tongue attributes. The COVID-19 pandemic h…
On Shapley Value in Data Assemblage Under Independent Utility
Xuan Luo, Jian Pei, Zicun Cong +1
In many applications, an organization may want to acquire data from many data owners. Data marketplaces allow data owners to produce data assemblage needed by data buyers through c…
Signatures of unconventional superconductivity near reentrant and fractional quantum anomalous Hall insulators
Fan Xu, Zheng Sun, Jiayi Li +18
Two-dimensional moiré Chern bands provide an exceptional platform for exploring a variety of many-body quantum phases at zero magnetic field within a lattice system. One particula…
Universal giant spin Hall effect in moire metal
Ning Mao, Cheng Xu, Ting Bao +3
While moiré phenomena have been extensively studied in low-carrier-density systems such as graphene and semiconductors, their implications for metallic systems with large Fermi su…
NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102
This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…
DCR: Quantifying Data Contamination in LLMs Evaluation
Cheng Xu, Nan Yan, Shuhao Guan +4
The rapid advancement of large language models (LLMs) has heightened concerns about benchmark data contamination (BDC), where models inadvertently memorize evaluation data during t…
Evidence of competing ground states between fractional Chern insulator and antiferromagnetism in moiré MoTe2
Xumin Chang, Feng Liu, Fan Xu +18
Two-dimensional moire materials present unprecedented opportunities to explore quantum phases of matter arising from the interplay of band topology and strong correlations.One of t…
Chiral superconductivity from spin polarized Chern band in twisted MoTe
Cheng Xu, Nianlong Zou, Nikolai Peshcherenko +4
Superconductivity has been observed in twisted MoTe2 within the anomalous Hall metal parent state. Key signatures-including a fully spin/valley polarized normal state, anomalous Ha…
Bouncing behavior and dissipative characterization of a chain-filled granular damper
Cheng Xu, Ning Zheng, Liang-sheng +1
We have experimentally investigated the bouncing behavior and damping performance of a container partially filled with granular chains, namely a chain-filled damper. The motion of…
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu, Shuhao Guan, Derek Greene +1
The rapid development of Large Language Models (LLMs) like GPT-4, Claude-3, and Gemini has transformed the field of natural language processing. However, it has also resulted in a…
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
Yuchen Shi, Shihong Duan, Cheng Xu +3
This work introduces a novel value decomposition algorithm, termed \textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs…
Kohn--Luttinger Superconductivity in Flat Chern Bands
Nianlong Zou, Cheng Xu, Yafis Barlas +1
Recent observations of superconductivity near correlated topological phases in flat bands suggest a facile link between flat-band geometry and electron pairing. In this work, we re…
Prospects for geoneutrino detection with JUNO
Thomas Adam, Shakeel Ahmad, Rizwan Ahmed +625
Geoneutrinos, which are antineutrinos emitted during the decay of long-lived radioactive elements inside Earth, serve as a unique tool for studying the composition and heat budget…
Finite-momentum superconductivity from chiral bands in twisted MoTe
Yinqi Chen, Cheng Xu, Yang Zhang +1
A recent experiment has reported unconventional superconductivity in twisted bilayer MoTe, emerging from a normal state that exhibits a finite anomalous Hall effect -- a signat…
COLE: A Column-based Learned Storage for Blockchain Systems
Ce Zhang, Cheng Xu, Haibo Hu +1
Blockchain systems suffer from high storage costs as every node needs to store and maintain the entire blockchain data. After investigating Ethereum's storage, we find that the sto…
vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases
Cheng Xu, Ce Zhang, Jianliang Xu
Blockchains have recently been under the spotlight due to the boom of cryptocurrencies and decentralized applications. There is an increasing demand for querying the data stored in…
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation
Xichen Ding, Jie Tang, Tracy Liu +5
Understanding users' context is essential for successful recommendations, especially for Online-to-Offline (O2O) recommendation, such as Yelp, Groupon, and Koubei. Different from t…
Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community
Jiazhao Yu, Yanlun Tu, Zhanlei Zhang +5
Testing ultra-large microservices-based FinTech systems presents significant challenges, including restricted access to production environments, complex dependencies, and stringent…
FARS: A Fully Automated Research System Deployed at Scale
Qiong Tang, Tianxiang Sun, Xiangkun Hu +54
FARS is an AI-driven system that autonomously creates research projects, runs experiments, and writes full AI/ML papers across many topics, and its output was evaluated through str…
Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms
Zixuan Jin, Wenzhuo Zhang, Shuxian Quan +4
Robot swarms can exhibit coherent collective behaviors through local perception, limited communication and decentralized decision-making, yet modeling and controlling such emergenc…
Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
Cheng Xu, Changtian Zhang, Yuchen Shi +4
Recent advancements in reinforcement learning have made significant impacts across various domains, yet they often struggle in complex multi-agent environments due to issues like a…
From fractional Chern insulators to topological electronic crystals in moiré MoTe2: quantum geometry tuning via remote layer
Feng Liu, Fan Xu, Cheng Xu +18
The quantum geometry of Bloch wavefunctions,encoded in the Berry curvature and quantum metric, is believed to be a decisive ingredient in stabilizing fractional quantum anomalous H…
Interference-Enhanced Large Electron-Phonon Coupling from Raman-active Breathing Modes in Moiré Semiconductors
Ning Mao, Shaozheng Wang, Cheng Xu +6
The paper combines filling‑dependent Raman spectroscopy with machine‑learning‑assisted first‑principles calculations to identify which phonon modes strongly couple to electrons in…
Wildfire Smoke Detection System: Model Architecture, Training Mechanism, and Dataset
Chong Wang, Cheng Xu, Adeel Akram +3
Vanilla Transformers focus on semantic relevance between mid- to high-level features and are not good at extracting smoke features as they overlook subtle changes in low-level feat…
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning
Bangzhen Liu, Chenxi Zheng, Xuemiao Xu +3
The vulnerability of 3D point cloud analysis to unpredictable rotations poses an open yet challenging problem: orientation-aware 3D domain generalization. Cross-domain robustness a…
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…
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
Cheng Xu, Xiaofeng Hou, Jiacheng Liu +9
The explosive growth of various types of big data and advances in AI technologies have catalyzed a new type of workloads called multi-modal DNNs. Multi-modal DNNs are capable of in…
Segregation patterns in binary mixtures with same layer-thicknesses under vertical vibration
Yahya Sandali, Cheng Xu, Ning Zheng +2
Inspired by the theoretical prediction [Phys. Rev. Lett. 86, 3423 (2001)] and the disputed experimental results [Phys. Rev. Lett. 89, 189601(2002), Phys. Rev. Lett. 90, 014302 (200…
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 ,…
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…
The role of tidal interactions in the formation of slowly rotating early-type stars in young star clusters
Chenyu He, Chengyuan Li, Weijia Sun +9
The split main sequences found in the colour-magnitude diagrams of star clusters younger than ~600 Myr are suggested to be caused by the dichotomy of stellar rotation rates of uppe…
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…
On the network analysis of the state space of discrete dynamical systems
Cheng Xu, Chengqing Li, Jinhu Lü +1
This paper discusses the letter entitled "Network analysis of the state space of discrete dynamical systems" by A. Shreim et al. [Physical Review Letters, 98, 198701 (2007)]. We fo…
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
Haoxin Yang, Bangzhen Liu, Xuemiao Xu +5
The advancement of diffusion models has enhanced the realism of AI-generated content but also raised concerns about misuse, necessitating robust copyright protection and tampering…
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction
Cheng Xu, Fei Hou, Wencheng Wang +3
While Signed Distance Fields (SDF) are well-established for modeling watertight surfaces, Unsigned Distance Fields (UDF) broaden the scope to include open surfaces and models with…
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…
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…
Chemical Abundances and Globular Clusters of Milky Way Dwarf Galaxies
Baitian Tang, Shihui Lin, Ruoyun Huang +5
We present an overview of our ongoing GASTRONOMI project, which investigates the coevolution of the Milky Way (MW), its satellite dwarf galaxies, and their star clusters through ch…
Learn2Chat: Rethinking Dyadic Talking Heads via Interaction-Modulated Monologic Priors
Zikai Huang, Siyue Chen, Xuemiao Xu +4
Dyadic conversational motion generation is essential for realistic interactive digital humans. Existing approaches typically model conversational behaviors within unified dyadic ge…
LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection
Cheng Xu, Changhong Jin, Yingjie Niu +5
The rapid development of Large Language Models (LLMs) has transformed fake news detection and fact-checking tasks from simple classification to complex reasoning. However, evaluati…
Scalable Complexity Control Facilitates Reasoning Ability of LLMs
Liangkai Hang, Junjie Yao, Zhiwei Bai +17
The reasoning ability of large language models (LLMs) has been rapidly advancing in recent years, attracting interest in more fundamental approaches that can reliably enhance their…
Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation
Zikai Huang, Xuemiao Xu, Cheng Xu +4
Dance, as an art form, fundamentally hinges on the precise synchronization with musical beats. However, achieving aesthetically pleasing dance sequences from music is challenging,…
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…
Design, waterproofing, and mass production of the 3-inch PMT frontend system of JUNO
Jilei Xu, Miao He, Cédric Cerna +628
Over 25,600 3-inch photomultiplier tubes (PMTs) have been instrumented for the central detector of the Jiangmen Underground Neutrino Observatory. Each PMT is equipped with a high-v…
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…
The Sagnac Effect in Optical Lattices with Laser-Assisted Tunneling
Bo-Nan Jiang, Xiao-Gang Wei, Guo-Wan Zhang +3
We propose a scheme to realize the rotation sensing using optical lattices with laser-assisted tunneling. We demonstrate that the competition between the rotation and the spin-orbi…
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…
Robustness of Optimal Energy Thresholds in Photon-counting Spectral CT
Yifan Zheng, Moa Yveborg, Fredrik Grönberg +4
An important question when developing photon-counting detectors for computed tomography is how to select energy thresholds. In this work thresholds are optimized by maximizing sign…
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose Estimation
Weihong Chen, Xuemiao Xu, Haoxin Yang +5
Existing 3D Human Pose Estimation (HPE) methods achieve high accuracy but suffer from computational overhead and slow inference, while knowledge distillation methods fail to addres…
A new code for low-resolution spectral identification of white dwarf binary candidates
Genghao Liu, Baitian Tang, Liangliang Ren +7
Close white dwarf binaries (CWDBs) are considered to be progenitors of several exotic astronomical phenomena (e.g., type Ia supernovae, cataclysmic variables). These violent events…
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…
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…
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…
Geo-Social Group Queries with Minimum Acquaintance Constraint
Qijun Zhu, Haibo Hu, Cheng Xu +2
The prosperity of location-based social networking services enables geo-social group queries for group-based activity planning and marketing. This paper proposes a new family of ge…
APOGEE chemical abundances of stars in the MW satellites Fornax, Sextans, Draco and Carina
Cheng Xu, Yi Qiao, Baitian Tang +3
During its evolution, the Milky Way (MW) incorporated numerous dwarf galaxies, particularly low-mass systems. The surviving dwarf galaxies orbiting the MW serve as exceptional labo…
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…
ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection
Yiliang Chen, Zhixi Li, Cheng Xu +6
Surgical triplet detection is a critical task in surgical video analysis. However, existing datasets like CholecT50 lack precise spatial bounding box annotations, rendering triplet…
PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy
Shuhao Guan, Moule Lin, Cheng Xu +5
This paper introduces PreP-OCR, a two-stage pipeline that combines document image restoration with semantic-aware post-OCR correction to enhance both visual clarity and textual con…
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…
Where do they come from? Identification of globular cluster escaped stars
Cheng Xu, Baitian Tang, Chengyuan Li +5
Globular clusters (GCs), as old as our Galaxy, constantly lose their members to the field as they cross through the Milky Way (MW). These GC escaped stars (or escapees) are suggest…
Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection
Shuaizheng Hao, Hongzhe Liu, Ningwei Wang +1
Common object detection models consist of classification and regression branches, due to different task drivers, these two branches have different sensibility to the features from…
Cost-Effective Data Feeds to Blockchains via Workload-Adaptive Data Replication
Kai Li, Yuzhe Tang, Jiaqi Chen +3
Feeding external data to a blockchain, a.k.a. data feed, is an essential task to enable blockchain interoperability and support emerging cross-domain applications, notably stableco…
Simulation of the Background from CO Reaction in the JUNO Scintillator
JUNO Collaboration, Thomas Adam, Kai Adamowicz +627
Large-scale organic liquid scintillator detectors are highly efficient in the detection of MeV-scale electron antineutrinos. These signal events can be detected through inverse bet…
Technique Report of CVPR 2024 PBDL Challenges
Ying Fu, Yu Li, Shaodi You +96
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to info…
3rd Place Solution to Google Landmark Recognition Competition 2021
Cheng Xu, Weimin Wang, Shuai Liu +6
In this paper, we show our solution to the Google Landmark Recognition 2021 Competition. Firstly, embeddings of images are extracted via various architectures (i.e. CNN-, Transform…
Twist-angle evolution from valley-polarized fractional topological phases to valley-degenerate superconductivity in twisted bilayer MoTe2
Zheng Sun, Fan Xu, Jiayi Li +16
Moiré superlattices formed by semiconducting transition metal dichalcogenides (TMDs) provide a highly tunable platform for investigating strongly correlated and topological quantu…
Stable magic angle in twisted Kane-Mele materials
Cheng Xu, Yong Xu, Wenhui Duan +1
We propose that flat bands and van Hove singularities near the magic angle can be stabilized against angle disorder in the twisted Kane-Mele model. With continuum model and maximal…
The expression of ensemble average internal energy in long-range interaction complex system and its statistical physical properties
Yanxiu Liu, Shenglei Zhang, Liu He +2
In this paper, we attempt to derive the expression of ensemble average internal energy in long-range interaction complex system. Further, the Shannon entropy hypothesis is used to…
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…
The internal energy expression of a long-range interaction complex system and its statistical physical properties
Yanxiu Liu, Cheng Xu, Zhifu Huang +2
Considering the interactions of two arbitrary particles, we obtain an internal energy expression of the complex system having long-range interactions. Based on the postulate of "eq…
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…
COLE: Towards Practical Column-based Learned Storage for Blockchain Systems
Ce Zhang, Cheng Xu, Haibo Hu +1
Blockchain provides a decentralized and tamper-resistant ledger for securely recording transactions across a network of untrusted nodes. While its transparency and integrity are be…
Transfer learning relaxation, electronic structure and continuum model for twisted bilayer MoTe
Ning Mao, Cheng Xu, Jiangxu Li +6
Large-scale moiré systems are extraordinarily sensitive, with even minute atomic shifts leading to significant changes in electronic structures. Here, we investigate the lattice r…
Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis
Jingjing Ren, Cheng Xu, Haoyu Chen +2
Recent progress in multi-modal conditioned face synthesis has enabled the creation of visually striking and accurately aligned facial images. Yet, current methods still face issues…
Rethinking Loss Design for Large-scale 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
Learning discriminative shape representations is a crucial issue for large-scale 3D shape retrieval. In this paper, we propose the Collaborative Inner Product Loss (CIP Loss) to ob…
Double Supervised Network with Attention Mechanism for Scene Text Recognition
Yuting Gao, Zheng Huang, Yuchen Dai +3
In this paper, we propose Double Supervised Network with Attention Mechanism (DSAN), a novel end-to-end trainable framework for scene text recognition. It incorporates one text att…
Band structure engineering using a moiré polar substrate
Xirui Wang, Cheng Xu, Samuel Aronson +11
Applying long wavelength periodic potentials on quantum materials has recently been demonstrated to be a promising pathway for engineering novel quantum phases of matter. Here, we…
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads
Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha +23
Lowering costs by driving high utilization across deep learning workloads is a crucial lever for cloud providers. We present Singularity, Microsoft's globally distributed schedulin…
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)…
Chemo-dynamical Nature of the Anticenter Stream and Monoceros Ring
Yi Qiao, Baitian Tang, Jianhui Lian +2
In the epoch of deep photometric surveys, a large number of substructures, e.g., over-densities, streams, were identified. With the help of astrometry and spectroscopy, the communi…
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework
Junyi Mei, Shixuan Sun, Chao Li +9
Dynamic graph random walk (DGRW) emerges as a practical tool for capturing structural relations within a graph. Effectively executing DGRW on GPU presents certain challenges. First…
Photon-counting CT with silicon detectors: feasibility for pediatric imaging
Moa Yveborg, Cheng Xu, Erik Fredenberg +1
X-ray detectors made of crystalline silicon have several advantages including low dark currents, fast charge collection and high energy resolution. For high-energy x-rays, however,…
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Zhaoqun Li, Cheng Xu, Biao Leng
How to obtain the desirable representation of a 3D shape, which is discriminative across categories and polymerized within classes, is a significant challenge in 3D shape retrieval…
Learning Discriminative 3D Shape Representations by View Discerning Networks
Biao Leng, Cheng Zhang, Xiaocheng Zhou +2
In view-based 3D shape recognition, extracting discriminative visual representation of 3D shapes from projected images is considered the core problem. Projections with low discrimi…
Final assessment of radioactive impurities in the JUNO detector
Thomas Adam, Fengpeng An, Costas Andreopoulos +569
The Jiangmen Underground Neutrino Observatory (JUNO) collaboration has completed the construction of the 20,000-ton liquid scintillator detector and the associated muon veto detect…
VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading
Cheng Xu, Xiaofeng Hou, Jiacheng Liu +1
Large-scale vision-language mixture-of-experts (VL-MoE) models provide strong multimodal capability, but efficient deployment on memory-constrained platforms remains difficult. Exi…
Efficiently Hardening SGX Enclaves against Memory Access Pattern Attacks via Dynamic Program Partitioning
Yuzhe Tang, Kai Li, Yibo Wang +2
Intel SGX is known to be vulnerable to a class of practical attacks exploiting memory access pattern side-channels, notably page-fault attacks and cache timing attacks. A promising…
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Haoneng Lin, Cheng Xu, Jing Qin
Modern Vision-Language Models (VLMs) exhibit unprecedented capabilities in cross-modal semantic understanding between visual and textual modalities. Given the intrinsic need for mu…
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…
Detection and Classification of Breast Cancer Metastates Based on U-Net
Lin Xu, Cheng Xu, Yi Tong +1
This paper presents U-net based breast cancer metastases detection and classification in lymph nodes, as well as patient-level classification based on metastases detection. The who…
A fractional quantum Hall factory on quantum processors: constant-depth preparation of clustered non-Abelian states
Cheng Xu, Ching Hua Lee, Hong-Hao Tu +1
Non-Abelian anyons arise as exotic excitations in fractional quantum Hall (FQH) matter and have proved very elusive to realize in conventional platforms. In this work, we show that…
Embedded underwater front-end electronics for the 3-inch photomultipliers in the JUNO experiment
Cédric Cerna, Miao He, Xiaoshan Jiang +591
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kton liquid scintillator-based, low-radioactivity, multi-purpose neutrino detector located 693 meters (1800 m.w.e.) und…
Think2Sing: Orchestrating Structured Motion Subtitles for Singing-Driven 3D Head Animation
Zikai Huang, Yihan Zhou, Xuemiao Xu +4
Singing-driven 3D head animation is a challenging yet promising task with applications in virtual avatars, entertainment, and education. Unlike speech, singing involves richer emot…