Publications (532)
The statistical nature of h-index of a network node
Yan Liu, Mudi Jiang, Lianyu Hu +1
Evaluating the importance of a network node is a crucial task in network science and graph data mining. H-index is a popular centrality measure for this task, however, there is sti…
Chain of Event-Centric Causal Thought for Physically Plausible Video Generation
Zixuan Wang, Yixin Hu, Haolan Wang +4
Physically Plausible Video Generation (PPVG) has emerged as a promising avenue for modeling real-world physical phenomena. PPVG requires an understanding of commonsense knowledge,…
Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, Yuguo Chen
Latent space models are popular for analyzing dynamic network data. We propose a variational approach to estimate the model parameters as well as the latent positions of the nodes…
Building a Controlled Vocabulary for Standardizing Precision Medicine Terms
Meng Wu, Yan Liu, Hongyu Kang +3
Rapid advances of technology and development of research in precision medicine domain have led to the production of different types of biomedical data. Standard medical vocabularie…
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo, Yuanhao Xiong, Yan Liu +1
Adaptive optimization methods such as AdaGrad, RMSprop and Adam have been proposed to achieve a rapid training process with an element-wise scaling term on learning rates. Though p…
Orbital-Selective Spin Texture and its Manipulation in a Topological Insulator
Zhuojin Xie, Shaolong He, Chaoyu Chen +20
Topological insulators represent a new quantum state of matter that are insulating in the bulk but metallic on the edge or surface. In the Dirac surface state, it is well-establish…
Structure-Guided Memory Consolidation for Mitigating Compounding Errors in Literature Review Generation
Zhi Zhang, Yan Liu, Zhejing Hu +4
Compounding errors pose a significant challenge in automatic literature review generation, as inaccuracies can cascade across multi-stage retrieval and generation workflows. Existi…
What is Tumblr: A Statistical Overview and Comparison
Yi Chang, Lei Tang, Yoshiyuki Inagaki +1
Tumblr, as one of the most popular microblogging platforms, has gained momentum recently. It is reported to have 166.4 millions of users and 73.4 billions of posts by January 2014.…
On two congruence conjectures of Z.-W. Sun involving Franel numbers
Guo-Shuai Mao, Yan Liu
In this paper, we mainly prove the following conjectures of Z.-W. Sun \cite{S13}: Let be a prime. If with and , then $$x\equi…
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
Liqi Xue, Tianyi Xu, Yongbao Song +4
The display devices like HDR10 televisions are increasingly prevalent in our daily life for visualizing high dynamic range (HDR) images. But the majority of media images on the int…
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…
Personalized Interpretable Classification
Zengyou He, Pengju Li, Yifan Tang +3
How to interpret a data mining model has received much attention recently, because people may distrust a black-box predictive model if they do not understand how the model works. H…
Diving into booklet wormholes
Libo Jiang, Yan Liu
ArXiv:2508.17898 proposed the booklet wormhole as the holographic dual of the GHZ state. This paper extends the investigation into this geometry, particularly focusing on the junct…
RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer
Jiangyi Deng, Xinfeng Li, Yanjiao Chen +5
Malicious shell commands are linchpins to many cyber-attacks, but may not be easy to understand by security analysts due to complicated and often disguised code structures. Advance…
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
Sanjay Purushotham, Yan Liu, C. -C. Jay Kuo
Social network websites, such as Facebook, YouTube, Lastfm etc, have become a popular platform for users to connect with each other and share content or opinions. They provide rich…
Effective Human Activity Recognition Based on Small Datasets
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
Most recent work on vision-based human activity recognition (HAR) focuses on designing complex deep learning models for the task. In so doing, there is a requirement for large data…
Holographic Superconductors from Einstein-Maxwell-Dilaton Gravity
Yan Liu, Ya-Wen Sun
We construct holographic superconductors from Einstein-Maxwell-dilaton gravity in 3+1 dimensions with two adjustable couplings and the charge carried by the scalar field.…
Spatially Parallel All-optical Neural Networks
Jianwei Qin, Yanbing Liu, Yan Liu +3
All-optical neural networks (AONNs) have emerged as a promising paradigm for ultrafast and energy-efficient computation. These networks typically consist of multiple serially conne…
Cross-symmetry breaking of two-component discrete dipolar matter-wave solitons
Yongyao Li, Zhiwei Fan, Zhihuan Luo +6
We study the spontaneous symmetry breaking of dipolar Bose--Einstein condensates trapped in stacks of two-well systems, which may be effectively built as one-dimensional trapping l…
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Tao Wang, Wenjun Xia, Zexin Lu +5
Due to the presence of metallic implants, the imaging quality of computed tomography (CT) would be heavily degraded. With the rapid development of deep learning, several network mo…
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
Karishma Sharma, Pinar Donmez, Enming Luo +2
Label noise is increasingly prevalent in datasets acquired from noisy channels. Existing approaches that detect and remove label noise generally rely on some form of supervision, w…
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
Xu Geng, Xiyu Wu, Lingyu Zhang +3
Graph convolution network based approaches have been recently used to model region-wise relationships in region-level prediction problems in urban computing. Each relationship repr…
Projecting the Emerging Mindset of SWE Agent by Launching a Wild Code Understanding Journey
Zhengyi Zhuo, Yan Liu
Software engineering agents (SWE agents) increasingly work through tool-mediated trajectories in real repositories, yet their behavior remains difficult to characterize in concrete…
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels
Wenjun Xia, Zexin Lu, Yongqiang Huang +4
Current mainstream of CT reconstruction methods based on deep learning usually needs to fix the scanning geometry and dose level, which will significantly aggravate the training co…
Bose-Fermi competition in holographic metals
Yan Liu, Koenraad Schalm, Ya-Wen Sun +1
We study the holographic dual of a finite density system with both bosonic and fermionic degrees of freedom. There is no evidence for a universal bose-dominated ground state. Inste…
Spin-phonon scattering-induced low thermal conductivity in a van der Waals layered ferromagnet CrSiTe
Kunya Yang, Hong Wu, Zefang Li +15
Layered van der Waals (vdW) magnets are prominent playgrounds for developing magnetoelectric, magneto-optic and spintronic devices. In spintronics, particularly in spincaloritronic…
Deep Reinforcement Learning-Based Beam Tracking for Low-Latency Services in Vehicular Networks
Yan Liu, Zhiyuan Jiang, Shunqing Zhang +1
Ultra-Reliable and Low-Latency Communications (URLLC) services in vehicular networks on millimeter-wave bands present a significant challenge, considering the necessity of constant…
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…
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
Lexiang Xiong, Chengyu Liu, Jingwen Ye +2
Concept erasure in text-to-image diffusion models is crucial for mitigating harmful content, yet existing methods often compromise generative quality. We introduce Semantic Surgery…
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes
Loc Trinh, Michael Tsang, Sirisha Rambhatla +1
In this paper we propose a novel human-centered approach for detecting forgery in face images, using dynamic prototypes as a form of visual explanations. Currently, most state-of-t…
Classification of radial Kerr geodesic motion
Geoffrey Compère, Yan Liu, Jiang Long
We classify radial timelike geodesic motion of the exterior non-extremal Kerr spacetime by performing a taxonomy of inequivalent root structures of the first order radial geodesic…
Wurtzite AlScN/AlN Superlattice Ferroelectrics Enable Endurance Beyond 1010 Cycles
Ruiqing Wang, Feng Zhu, Haoji Qian +9
Wurtzite ferroelectrics are rapidly emerging as a promising material class for next-generation non-volatile memory technologies, owing to their large remanent polarization, intrins…
Skeleton Focused Human Activity Recognition in RGB Video
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
The data-driven approach that learns an optimal representation of vision features like skeleton frames or RGB videos is currently a dominant paradigm for activity recognition. Whil…
Finite Element Analysis of Electromagnetic Waves in Two-Dimensional Transformed Bianisotropic Media
Yan Liu, Boris Gralak, Sebastien Guenneau
We analyse wave propagation in two-dimensional bianisotropic media with the Finite Element Method (FEM). We start from the Maxwell-Tellegen's equations in bianisotropic media, and…
Quantile tests in frequency domain for sinusoid models
Yan Liu
For second order stationary processes, the spectral distribution function is uniquely deter- mined by the autocovariance functions of the processes. We define the quantiles of the…
Continual Test-Time Adaptation for Object Detection with Adaptive Monitoring and Randomized Restoration
Shilei Cao, Juepeng Zheng, Yan Liu +5
Real-world application models are commonly deployed in dynamic environments, where the target domain distribution undergoes temporal changes. Continual Test-Time Adaptation (CTTA)…
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Ching Chang, Yidan Shi, Defu Cao +8
Time series reasoning treats time as a first-class axis and incorporates intermediate evidence directly into the answer. This survey defines the problem and organizes the literatur…
SUPERChem: A Multimodal Reasoning Benchmark in Chemistry
Zehua Zhao, Zhixian Huang, Junren Li +28
Current benchmarks for evaluating the chemical reasoning capabilities of Large Language Models (LLMs) are limited by oversimplified tasks, lack of process-level evaluation, and mis…
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents
James Enouen, Hootan Nakhost, Sayna Ebrahimi +3
Large language models (LLMs) have attracted huge interest in practical applications given their increasingly accurate responses and coherent reasoning abilities. Given their nature…
Strong Anisotropy of Dirac Cone in SrMnBi2 and CaMnBi2 Revealed by Angle-Resolved Photoemission Spectroscopy
Ya Feng, Zhijun Wang, Chaoyu Chen +18
The Dirac materials, such as graphene and three-dimensional topological insulators, have attracted much attention because they exhibit novel quantum phenomena with their low energy…
Adaptive sparsening and smoothing of the treatment model for longitudinal causal inference using outcome-adaptive LASSO and marginal fused LASSO
Mireille E Schnitzer, Denis Talbot, Yan Liu +5
Causal variable selection in time-varying treatment settings is challenging due to evolving confounding effects. Existing methods mainly focus on time-fixed exposures and are not d…
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency
Jun Huang, Yan Liu
This paper proposes a new gradient-based XAI method called Guided AbsoluteGrad for saliency map explanations. We utilize both positive and negative gradient magnitudes and employ g…
D-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Zhengping Che, Guangyu Li, Tracy Li +7
Driving datasets accelerate the development of intelligent driving and related computer vision technologies, while substantial and detailed annotations serve as fuels and powers to…
Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation
Yingyu Chen, Ziyuan Yang, Ming Yan +4
Multi-modality (MM) semi-supervised learning (SSL) based medical image segmentation has recently gained increasing attention for its ability to utilize MM data and reduce reliance…
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai, Zijia Zhang, Yan Liu +4
Clustering of hyperspectral images is a fundamental but challenging task. The recent development of hyperspectral image clustering has evolved from shallow models to deep and achie…
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho +2
Multivariate time series data in practical applications, such as health care, geoscience, and biology, are characterized by a variety of missing values. In time series prediction a…
Cross-symmetric dipolar-matter-wave solitons in double-well chains
Zhiwei Fan, Yuhan Shi, Yan Liu +3
We consider a dipolar Bose-Einstein condensate trapped in an array of two-well systems with an arbitrary orientations of the dipoles relative to the system's axis. The system can b…
DETR: Decoder Distillation for Detection Transformer
Xiaokang Chen, Jiahui Chen, Yan Liu +1
While various knowledge distillation (KD) methods in CNN-based detectors show their effectiveness in improving small students, the baselines and recipes for DETR-based detectors ar…
Req2Lib: A Semantic Neural Model for Software Library Recommendation
Zhensu Sun, Yan Liu, Ziming Cheng +2
Third-party libraries are crucial to the development of software projects. To get suitable libraries, developers need to search through millions of libraries by filtering, evaluati…
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Songyang Gao, Shihan Dou, Yan Liu +5
Adversarial training is one of the best-performing methods in improving the robustness of deep language models. However, robust models come at the cost of high time consumption, as…
Trace codes over and Boolean function
Minjia Shi, Yan Liu, Randriam Hugues +2
We construct trace codes over by using Boolean functions and skew sets, respectively. Their Lee weight distribution is studied by using a Galois ring version of the Walsh-Ha…
A global inverse-problem approach to quantitative photo-switching optoacoustic mesoscopy
Yan Liu, Jonathan Chuah, Michael Unser +1
In this paper, we propose a global framework that includes a detailed model of the photo-switching and acoustic processes for photo-switching optoacoustic mesoscopy, based on the u…
Energy transport in holographic junctions
Yan Liu, Chuan-Yi Wang
We study energy transport in a conformal junction connecting three 2D conformal field theories using the AdS/CFT correspondence. The holographic dual consists of three AdS spac…
A Novel Convolutional Neural Network for Image Steganalysis with Shared Normalization
Songtao Wu, Sheng-hua Zhong, Yan Liu
Deep learning based image steganalysis has attracted increasing attentions in recent years. Several Convolutional Neural Network (CNN) models have been proposed and achieved state-…
A Survey on Social Media Anomaly Detection
Rose Yu, Huida Qiu, Zhen Wen +2
Social media anomaly detection is of critical importance to prevent malicious activities such as bullying, terrorist attack planning, and fraud information dissemination. With the…
Revisiting the Reliability of Language Models in Instruction-Following
Jianshuo Dong, Yutong Zhang, Yan Liu +4
Advanced LLMs have achieved near-ceiling instruction-following accuracy on benchmarks such as IFEval. However, these impressive scores do not necessarily translate to reliable serv…
Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors
Yuze Qin, Qingyong Li, Zhiqing Guo +3
Precipitation nowcasting is critical for disaster mitigation and aviation safety. However, radar-only models frequently suffer from a lack of large-scale atmospheric context, leadi…
MusicScaffold: Bridging Machine Efficiency and Human Growth in Adolescent Creative Education through Generative AI
Zhejing Hu, Yan Liu, Zhi Zhang +4
Adolescence is marked by strong creative impulses but limited strategies for structured expression, often leading to frustration or disengagement. While generative AI lowers techni…
Star-critical Gallai-Ramsey numbers of graphs
Xueli Su, Yan Liu
The Gallai-Ramsey number is the smallest integer such that every -edge-colored contains either a rainbow or a mono…
Scalable Interpretable Multi-Response Regression via SEED
Mohammad Taha Bahadori, Zemin Zheng, Yan Liu +1
Sparse reduced-rank regression is an important tool to uncover meaningful dependence structure between large numbers of predictors and responses in many big data applications such…
A Class of Five-weight Cyclic Codes and Their Weight Distribution
Yan Liu, Haode Yan
In this paper, a family of five-weight reducible cyclic codes is presented. Furthermore, the weight distribution of these cyclic codes is determined, which follows from the determi…
A note on global in-time behavior for the semilinear nonlocal heat exchanger system
Yan Liu
We mainly study global in-time asymptotic behavior for the nonlocal reaction-diffusion system with fractional Laplacians which models dispersal of individuals between two exchangin…
CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection
Shihan Dou, Yueming Wu, Haoxiang Jia +3
With the development of the open source community, the code is often copied, spread, and evolved in multiple software systems, which brings uncertainty and risk to the software sys…
Holographic superfluid with gauge-axion coupling
Yan Liu, Xi-Jing Wang, Jian-Pin Wu +1
We have constructed a holographic superfluid with gauge-axion coupling. Depending on whether the coupling is positive or negative, the system displays metallic or insulating behavi…
Focussing light in a bi-anisotropic slab with negatively refracting materials
Yan Liu, Sebastien Guenneau, Boris Gralak +1
We investigate the electromagnetic response of a pair of complementary bi-anisotropic media, which consist of a medium with positive refractive index ($+\ep$, , ) and a m…
Clusterability test for categorical data
Lianyu Hu, Junjie Dong, Mudi Jiang +2
The objective of clusterability evaluation is to check whether a clustering structure exists within the data set. As a crucial yet often-overlooked issue in cluster analysis, it is…
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data
Bin Guo, Huihui Chen, Yan Liu +3
With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and nois…
Robust reconstruction of fluorescence molecular tomography with an optimized illumination pattern
Yan Liu, Wuwei Ren, Habib Ammari
Fluorescence molecular tomography (FMT) is an emerging powerful tool for biomedical research. There are two factors that influence FMT reconstruction most effectively. The first on…
Growth, Characterization and Fermi Surface of Heavy Fermion CeCoIn5 Superconductor
Xiaowen Jia, Yan Liu, Li Yu +21
High quality single crystals of heavy Fermion CeCoIn5 superconductor have been grown by flux method with a typical size of (1~2)mm x (1~2)mm x ~0.1 mm. The single crystals are char…
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
Shihan Dou, Yan Liu, Haoxiang Jia +14
The advancement of large language models (LLMs) has significantly propelled the field of code generation. Previous work integrated reinforcement learning (RL) with compiler feedbac…
A ferroelectric junction transistor memory made from switchable van der Waals p-n heterojunctions
Baoyu Wang, Lingrui Zou, Tao Wang +18
Van der Waals (vdW) p-n heterojunctions are important building blocks for advanced electronics and optoelectronics, in which high-quality heterojunctions essentially determine devi…
CoCoA: Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
Yi Jiang, Sendong Zhao, Jianbo Li +4
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs), especially for knowledge-intensive tasks. Despite its advantages, current RAG methods often struggle to…
Additive Phoneme-aware Margin Softmax Loss for Language Recognition
Zheng Li, Yan Liu, Lin Li +1
This paper proposes an additive phoneme-aware margin softmax (APM-Softmax) loss to train the multi-task learning network with phonetic information for language recognition. In addi…
Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion
Yongchan Hong, Defu Cao, Wenjin Liu +6
Accurate protein-ligand binding affinity prediction is central to computational drug discovery, yet modern docking engines frequently disagree without indicating which prediction t…
Direct Evidence of Interaction-Induced Dirac Cones in Monolayer Silicene/Ag(111) System
Ya Feng, Defa Liu, Baojie Feng +21
Silicene, analogous to graphene, is a one-atom-thick two-dimensional crystal of silicon which is expected to share many of the remarkable properties of graphene. The buckled honeyc…
Relief of EGFR/FOS-downregulated miR-103a by loganin alleviates NF-kappaB-triggered inflammation and gut barrier disruption in colitis
Yan Li, Teng Hui, Xinhui Zhang +20
Due to the ever-rising global incidence rate of inflammatory bowel disease (IBD) and the lack of effective clinical treatment drugs, elucidating the detailed pathogenesis, seeking…
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Binghai Wang, Rui Zheng, Lu Chen +24
Reinforcement Learning from Human Feedback (RLHF) has become a crucial technology for aligning language models with human values and intentions, enabling models to produce more hel…
Representations and module-extensions of hom 3-Lie algebras
Yan Liu, Liangyun Chen, Yao Ma
In this paper, we study the representations and module-extensions of hom 3-Lie algebras. We show that a linear map between hom 3-Lie algebras is a morphism if and only if its graph…
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
Zhanfeng Liao, Qian Zheng, Yan Liu +1
A crucial reason for the success of existing NeRF-based methods is to build a neural density field for the geometry representation via multiple perceptron layers (MLPs). MLPs are c…
A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS
SuperCDMS Collaboration, Musaab Al-Bakry, Imran Alkhatib +128
In this paper, we present a re-analysis of SuperCDMS data using a profile likelihood approach to search for sub-GeV dark matter particles (DM) through two inelastic scattering chan…
On the Importance of Building High-quality Training Datasets for Neural Code Search
Zhensu Sun, Li Li, Yan Liu +1
The performance of neural code search is significantly influenced by the quality of the training data from which the neural models are derived. A large corpus of high-quality query…
The influence of viscous dissipations on the nonlinear acoustic wave equation with second sound
Wenhui Chen, Yan Liu, Alessandro Palmieri +1
We study the effect of a viscous dissipation on the Cauchy problem for a Cattaneo-type model in nonlinear acoustics, established by applying the Lighthill approximation for the vis…
Analytical studies on 3D hairy rotating black hole interiors
Ling-Long Gao, Yan Liu, Rui-Long Zhao
We present an analytical study of the interior structure of hairy rotating black holes in three-dimensional Einstein gravity, minimally coupled to a complex scalar field with a sup…
Tuning Magnetism of Metal-Organic Framework by Different Types of Pressure
Shuang Liu, Na Su, Huixia Fu +2
The properties of metal-organic frameworks (MOFs) are expected to be sensitive to external pressures because of their inherently flexible structures. Although pressure-driven struc…
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…
A generalized three-dimensional hybrid contact method for smoothed particle hydrodynamics
Wenbin Liu, Zhuoping Duan, Yan Liu +1
When the effects of relative motion at the solid object interfaces are not negligible, the contact method is required in the smoothed particle hydrodynamics (SPH) method to prevent…
A coherence monotone from Kirkwood-Dirac nonclassicality with respect to mutually unbiased bases
Yan Liu, Zhihua Guo, Zhihao Ma +1
The Kirkwood-Dirac distribution, serving as an informationally complete representation of a quantum state, has recently garnered increasing attention. We investigate the Kirkwood-D…
A simple and effective postprocessing method for image classification
Yan Liu, Yun Li, Yunhao Yuan +1
Whether it is computer vision, natural language processing or speech recognition, the essence of these applications is to obtain powerful feature representations that make downstre…
Anomalous magnetoconductivity and relaxation times in holography
Amadeo Jimenez-Alba, Karl Landsteiner, Yan Liu +1
We study the magnetoconductivity induced by the axial anomaly via the chiral magnetic effect in strongly coupled holographic models. An important ingredient in our models is that t…
Hom-Nijienhuis operator and *-extension of Hom-Lie Superalgebras
Yan Liu, Liangyun Chen, Yao Ma
In this paper, we study hom-Lie superalgebras. We give the definition of hom-Nijienhuis operators of regualr hom-Lie superalgebras and show that the deformation generated by a hom-…
Engineering Hybrid Resonances in Nanophotonics
Shutao Zhang, Cheng-Feng Pan, Yandong Fan +9
Hybridization of resonances is known to overcome inherent limitations of individual systems, enabling advanced functionalities and applications. Here we discuss hybrid plasmonic-Mi…
Discovering Car-following Dynamics from Trajectory Data through Deep Learning
Ohay Angah, James Enouen, Xuegang +2
This study aims to discover the governing mathematical expressions of car-following dynamics from trajectory data directly using deep learning techniques. We propose an expression…
Differentiable Physics-informed Graph Networks
Sungyong Seo, Yan Liu
While physics conveys knowledge of nature built from an interplay between observations and theory, it has been considered less importantly in deep neural networks. Especially, ther…
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…
Low-Resourced Speech Recognition for Iu Mien Language via Weakly-Supervised Phoneme-based Multilingual Pre-training
Lukuan Dong, Donghong Qin, Fengbo Bai +4
The mainstream automatic speech recognition (ASR) technology usually requires hundreds to thousands of hours of annotated speech data. Three approaches to low-resourced ASR are pho…
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
Shitong Duan, Xiaoyuan Yi, Peng Zhang +5
Large language models (LLMs) have revolutionized the role of AI, yet pose potential social risks. To steer LLMs towards human preference, alignment technologies have been introduce…
Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours
Karishma Sharma, Yizhou Zhang, Emilio Ferrara +1
Disinformation campaigns on social media, involving coordinated activities from malicious accounts towards manipulating public opinion, have become increasingly prevalent. Existing…
The holographic Weyl semi-metal
Karl Landsteiner, Yan Liu
We present a holographic model of a Weyl semi-metal. We show that upon varying a mass parameter the model undergoes a quantum phase transition from a topologically non-trivial stat…
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
James Enouen, Yan Liu
In recent years, the Shapley value and SHAP explanations have emerged as one of the most dominant paradigms for providing post-hoc explanations of black-box models. Despite their w…
An empirical likelihood approach for symmetric -stable processes
Fumiya Akashi, Yan Liu, Masanobu Taniguchi
Empirical likelihood approach is one of non-parametric statistical methods, which is applied to the hypothesis testing or construction of confidence regions for pivotal unknown qua…