papers

Publications (138)

cs.LG2022

Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity

Guan Wang, Yusuke Kikuchi, Jinglin Yi +3

Retinal vascular diseases affect the well-being of human body and sometimes provide vital signs of otherwise undetected bodily damage. Recently, deep learning techniques have been…

cond-mat.mtrl-sci2025

The Fermi surface of RuO2 measured by quantum oscillations

Zheyu Wu, Mengmeng Long, Hanyi Chen +12

The metallic oxide RuO has emerged as a promising altermagnet candidate, owing to reports of this material hosting antiferromagnetic ordering accompanied by a spin-split electr…

cs.RO2023

Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction

Huidong Gao, Rui Zhou, Masayoshi Tomizuka +1

Slip is a very common phenomena present in wheeled mobile robotic systems. It has undesirable consequences such as wasting energy and impeding system stability. To tackle the chall…

quant-ph2026

Low-frequency fiber-optic vibration sensing with a Floquet-engineered optical lattice clock

Mojuan Yin, Ruohui Wang, Rui Zhou +2

We propose a Floquet-engineered optical lattice clock based demodulation scheme to enhance the low-frequency performance of wound fiber-optic vibration sensors. Vibration-induced p…

econ.EM2026

Dynamic Mortality Forecasting via Mixed-Frequency State-Space Models

Runze Li, Rui Zhou, David Pitt

High-frequency death counts are now widely available and contain timely information about intra-year mortality dynamics, but most stochastic mortality models are still estimated on…

cs.LG2024

Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning

Yun-Hin Chan, Rui Zhou, Running Zhao +2

Federated learning (FL) inevitably confronts the challenge of system heterogeneity in practical scenarios. To enhance the capabilities of most model-homogeneous FL methods in handl…

eess.SP2023

Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-t Distribution

Xiwen Wang, Rui Zhou, Jiaxi Ying +1

Since Markowitz's mean-variance framework, optimizing a portfolio that maximizes the profit and minimizes the risk has been ubiquitous in the financial industry. Initially, profit…

cond-mat.str-el2025

Spin-supersolidity induced quantum criticality and magnetocaloric effect in the triangular-lattice antiferromagnet RbCo(SeO)

Yi Cui, Zhanlong Wu, Zhongcen Sun +12

We performed high-field magnetization, magnetocaloric effect (MCE), and NMR measurements on the Ising triangular-lattice antiferromagnet RbCo(SeO). The observations of…

cs.DB2020

Index-based Solutions for Efficient Density Peak Clustering

Zafaryab Rasool, Rui Zhou, Lu Chen +2

Density Peak Clustering (DPC), a popular density-based clustering approach, has received considerable attention from the research community primarily due to its simplicity and fewe…

cond-mat.supr-con2026

Spin-density-wave transition in monolayer-trilayer La3Ni2O7 single crystals

Mingxin Zhang, Jie Dou, Di Peng +17

The recent discovery of high-temperature superconductivity in pressurized Ruddlesden-Popper nickelates stimulated intense research into their correlated electron physics. Establish…

astro-ph.CO2023

Flashlights: An Off-Caustic Lensed Star at Redshift = 1.26 in Abell 370

Ashish Kumar Meena, Wenlei Chen, Adi Zitrin +10

We report the discovery of a transient seen in a strongly lensed arc at redshift in \emph{Hubble Space Telescope} imaging of the Abell 370 galaxy cluster. The tr…

cs.CL2023

CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior

Pan Gao, Donghong Han, Rui Zhou +2

Empathy is an important characteristic to be considered when building a more intelligent and humanized dialogue agent. However, existing methods did not fully comprehend empathy as…

cs.CV2025

OoDIS: Anomaly Instance Segmentation and Detection Benchmark

Alexey Nekrasov, Rui Zhou, Miriam Ackermann +3

Safe navigation of self-driving cars and robots requires a precise understanding of their environment. Training data for perception systems cannot cover the wide variety of objects…

cs.LG2026

ESPO: Early-Stopping Proximal Policy Optimization

Zihang Li, Rui Zhou, Yingcheng Shi +8

When a large language model under reinforcement learning commits a wrong reasoning step early in a trajectory, standard algorithms force it to keep generating until the maximum hor…

cs.DB2019

Finding Effective Geo-Social Group for Impromptu Activity with Multiple Demands

Lu Chen, Chengfei Liu, Rui Zhou +2

Geo-social group search aims to find a group of people proximate to a location while socially related. One of the driven applications for geo-social group search is organizing an i…

cs.RO2025

Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs

Guobin Zhu, Rui Zhou, Wenkang Ji +3

Multi-task multi-agent reinforcement learning (MT-MARL) has recently gained attention for its potential to enhance MARL's adaptability across multiple tasks. However, it is challen…

cs.CV2020

Efficient Deep Representation Learning by Adaptive Latent Space Sampling

Yuanhan Mo, Shuo Wang, Chengliang Dai +4

Supervised deep learning requires a large amount of training samples with annotations (e.g. label class for classification task, pixel- or voxel-wised label map for segmentation ta…

physics.bio-ph2023

The coupling effect between the environment and strategies drives the emergence of group cooperation

Changyan Di, Qingguo Zhou, Jun Shen +3

Introducing environmental feedback into evolutionary game theory has led to the development of eco-evolutionary games, which have gained popularity due to their ability to capture…

cs.IR2026

SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation

Rui Zhou, Bo Chen, Qinglin Jia +5

As user behavior histories continue to grow on modern Internet platforms, effectively modeling long behavior sequences has become crucial for predicting user interests in candidate…

cond-mat.str-el2024

Field-induced phase transitions and quantum criticality in a honeycomb antiferromagnet Na3Co2SbO6

Ze Hu, Yue Chen, Yi Cui +10

We performed 23Na NMR measurements on a single-domain crystal of the Kitaev material Na3Co2SbO6, with magnetic field applied along the crystalline a axis. A positive Curie-Weiss co…

physics.app-ph2023

Protected Transverse Electric Waves in Topological Dielectric Waveguides

Rui Zhou, Minglin L. N. Chen, Xingtong Shi +5

Waveguides are fundamental components in communication systems. However, they suffer from reflection and scattering losses at sharp routes or defects. The breakthrough in developin…

cs.DB2014

Efficient Truss Maintenance in Evolving Networks

Rui Zhou, Chengfei Liu, Jeffrey Xu Yu +2

Truss was proposed to study social network data represented by graphs. A k-truss of a graph is a cohesive subgraph, in which each edge is contained in at least k-2 triangles within…

cond-mat.supr-con2024

Bulk high-temperature superconductivity in the high-pressure tetragonal phase of bilayer La2PrNi2O7

Ningning Wang, Gang Wang, Xiaoling Shen +26

The Ruddlesden-Popper (R-P) bilayer nickelate, La3Ni2O7, was recently found to show signatures of high-temperature superconductivity (HTSC) at pressures above 14 GPa. Subsequent in…

cs.RO2025

Pure Vision Language Action (VLA) Models: A Comprehensive Survey

Dapeng Zhang, Jing Sun, Chenghui Hu +5

The emergence of Vision Language Action (VLA) models marks a paradigm shift from traditional policy-based control to generalized robotics, reframing Vision Language Models (VLMs) f…

cs.CV2025

Demeter: A Parametric Model of Crop Plant Morphology from the Real World

Tianhang Cheng, Albert J. Zhai, Evan Z. Chen +13

Learning 3D parametric shape models of objects has gained popularity in vision and graphics and has showed broad utility in 3D reconstruction, generation, understanding, and simula…

cs.RO2025

MotionTrans: Human VR Data Enable Motion-Level Learning for Robotic Manipulation Policies

Chengbo Yuan, Rui Zhou, Mengzhen Liu +6

Scaling real robot data is a key bottleneck in imitation learning, leading to the use of auxiliary data for policy training. While other aspects of robotic manipulation such as ima…

cs.CL2019

Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks

Yuni Lai, Linfeng Zhang, Donghong Han +2

Microblogs are widely used to express people's opinions and feelings in daily life. Sentiment analysis (SA) can timely detect personal sentiment polarities through analyzing text.…

cs.RO2026

Memory Over Maps: 3D Object Localization Without Reconstruction

Rui Zhou, Xander Yap, Jianwen Cao +3

Target localization is a prerequisite for embodied tasks such as navigation and manipulation. Conventional approaches rely on constructing explicit 3D scene representations to enab…

cs.RO2025

Safety-Critical Human-Machine Shared Driving for Vehicle Collision Avoidance based on Hamilton-Jacobi reachability

Shiyue Zhao, Junzhi Zhang, Rui Zhou +4

Road safety continues to be a pressing global issue, with vehicle collisions imposing significant human, societal, and economic burdens. Human-machine shared collision avoidance in…

cs.RO2024

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts

Zhuo Xu, Rui Zhou, Yida Yin +3

Data-driven methods have great advantages in modeling complicated human behavioral dynamics and dealing with many human-robot interaction applications. However, collecting massive…

cs.IR2026

DIET: Learning to Distill Dataset Continually for Recommender Systems

Jiaqing Zhang, Hao Wang, Mingjia Yin +6

Modern deep recommender models are trained under a continual learning paradigm, relying on massive and continuously growing streaming behavioral logs. In large-scale platforms, ret…

eess.SP2023

A Novel Field-Free SOT Magnetic Tunnel Junction With Local VCMA-Induced Switching

Rui Zhou, Haiyang Zhang, Hao Wang +3

By integrating the local voltage-controlled magnetic anisotropy (VCMA) effect, Dzyaloshinskii-Moriya interaction (DMI) effect, and spin-orbit torque (SOT) effect, we propose a nove…

physics.app-ph2021

Photoelectron Transportation Dynamics in GaAs Photocathodes

Rui Zhou, Hemang Jani, Yijun Zhang +2

We report here a general theory describing photoelectron transportation dynamics in GaAs semiconductor photocathodes. Gradient doping is incorporated in the model through the inclu…

cond-mat.str-el2024

Haldane phase, field-induced magnetic ordering and Tomonaga-Luttinger liquid behavior in a spin-one chain compound NiCO2NH

Shuo Li, Zhanlong Wu, Yanhong Wang +12

We performed single-crystal magnetic susceptibility and H NMR measurements on a quasi-1D, spin-1 antiferromagnet NiCO2NH, with temperature down to 100 mK and…

cond-mat.str-el2026

Observation of Kondo hybridization wave in UTe2

Xin Yu, Shuikang Yu, Zheyu Wu +9

Condensed matter systems with strong electronic correlations often manifest a variety of intertwined ordered phases of charge, spin, orbital and other degrees of freedom. As a prot…

cs.SD2025

Preserving Speaker Information in Direct Speech-to-Speech Translation with Non-Autoregressive Generation and Pretraining

Rui Zhou, Akinori Ito, Takashi Nose

Speech-to-Speech Translation (S2ST) refers to the conversion of speech in one language into semantically equivalent speech in another language, facilitating communication between s…

eess.IV2020

Early Detection of Retinopathy of Prematurity (ROP) in Retinal Fundus Images Via Convolutional Neural Networks

Xin Guo, Yusuke Kikuchi, Guan Wang +3

Retinopathy of prematurity (ROP) is an abnormal blood vessel development in the retina of a prematurely-born infant or an infant with low birth weight. ROP is one of the leading ca…

q-fin.PM2018

Optimal Portfolio Design for Statistical Arbitrage in Finance

Ziping Zhao, Rui Zhou, Zhongju Wang +1

In this paper, the optimal mean-reverting portfolio (MRP) design problem is considered, which plays an important role for the statistical arbitrage (a.k.a. pairs trading) strategy…

cs.RO2025

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation

Guobin Zhu, Rui Zhou, Wenkang Ji +1

Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low sample efficiency and requires iterative manual reward tuning. La…

eess.AS2025

CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Nian Shao, Rui Zhou, Pengyu Wang +4

In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) p…

physics.app-ph2023

A topological gap waveguide based on unidirectional locking of pseudo-spins

Yan Ren, Hai Lin, Rui Zhou +3

Photonic topological insulators (PTIs) have been widely studied due to the robustness of energy transport via supported edge modes immune to structural disorder. In this work, a to…

cs.CL2026

EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering

Haolei Xu, Xinyu Mei, Yuchen Yan +5

Large language model (LLM) steering has emerged as a promising paradigm for controlling model behavior at inference time through targeted manipulation of hidden states, offering a…

physics.optics2025

Super-robust telecommunications enabled by topological half-supermodes

Rui Zhou, Xintong Shi, Hai Lin +6

Topological photonics offers transformative potential for robust integrated waveguide devices due to their backscattering-immune properties. However, their integration faces two fu…

cs.RO2026

Driving risk emerges from the required two-dimensional joint evasive acceleration

Hao Cheng, Yanbo Jiang, Wenhao Yu +9

Most autonomous driving safety benchmarks use time-to-collision (TTC) to assess risk and guide safe behaviour. However, TTC-based methods treat risk as a one-dimensional closing pr…

astro-ph.GA2025

Polarization-shape alignment of IllustrisTNG star-forming galaxies

Rui Zhou, Liang Dai, Junwu Huang +2

In star-forming disk galaxies, the radio continuum emission (-GHz) powered by star formation has an integrated polarization direction imperfectly aligned with the apparent…

cs.LG2025

Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation

Ho Ming Lee, Katrien Antonio, Benjamin Avanzi +2

Ensuring equitable treatment (fairness) across protected attributes (such as gender or ethnicity) is a critical issue in machine learning. Most existing literature focuses on binar…

cs.DB2025

Efficient Size Constraint Community Search over Heterogeneous Information Networks

Xinjian Zhang, Lu Chen, Chengfei Liu +2

The goal of community search in heterogeneous information networks (HINs) is to identify a set of closely related target nodes that includes a query target node. In practice, a siz…

q-fin.MF2022

Dynamic optimal reinsurance and dividend-payout in finite time horizon

Chonghu Guan, Zuo Quan Xu, Rui Zhou

This paper studies a dynamic optimal reinsurance and dividend-payout problem for an insurance company in a finite time horizon. The goal of the company is to maximize the expected…

physics.optics2024

200mm Optical synthetic aperture imaging over 120 meters distance via Macroscopic Fourier ptychography

Qi Zhang, Yuran Lu, Yinghui Guo +8

Fourier ptychography (FP) imaging, drawing on the idea of synthetic aperture, has been demonstrated as a potential approach for remote sub-diffraction-limited imaging. Nevertheless…

hep-ph2024

Heavy quarkonium spectral function in the spinning black hole background

Zhou-Run Zhu, Manman Sun, Rui Zhou +2

In this paper, we study the dissociation of heavy quarkonium in the spinning black hole background. Specifically, we analyze the spectral function of charmonium and bottomonium in…

cs.CR2025

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks

Handi Chen, Rui Zhou, Yun-Hin Chan +3

Leveraging blockchain in Federated Learning (FL) emerges as a new paradigm for secure collaborative learning on Massive Edge Networks (MENs). As the scale of MENs increases, it bec…

cs.RO2025

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning

Wenlong Liang, Rui Zhou, Yang Ma +4

Embodied AI aims to develop intelligent systems with physical forms capable of perceiving, decision-making, acting, and learning in real-world environments, providing a promising w…

cs.LG2024

Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models

Rui Zhou, Chenyang Yuan, Frank Permenter +4

This study introduces a generative imputation model leveraging graph attention networks and tabular diffusion models for completing missing parametric data in engineering designs.…

physics.optics2026

Coexistence and manipulation of multiple singularities in a reconfigurable non-Hermitian metasurface

Xintong Shi, Yanjie Wu, Rui Zhou +6

Non-Hermitian frameworks extend conventional Hermitian physics, offering a powerful paradigm for describing open systems. Central to this field are various singularities within the…

cs.CR2024

Transaction Fee Estimation in the Bitcoin System

Limeng Zhang, Rui Zhou, Qing Liu +2

In the Bitcoin system, transaction fees serve as an incentive for blockchain confirmations. In general, a transaction with a higher fee is likely to be included in the next block m…

cs.DB2025

Gate-Based and Annealing-Based Quantum Algorithms for the Maximum K-Plex Problem

Xiaofan Li, Gao Cong, Rui Zhou

The -plex model, which allows each vertex to miss connections with up to neighbors, serves as a relaxation of the clique. Its adaptability makes it more suitable for ana…

cs.IR2024

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models

Wenjia Xie, Rui Zhou, Hao Wang +2

Sequential recommendation has attracted increasing attention due to its ability to accurately capture the dynamic changes in user interests. We have noticed that generative models,…

cond-mat.supr-con2020

NMR and NQR studies on transition-metal arsenide superconductors LaRu2As2, KCa2Fe4As4F2, and A2Cr3As3

Jun Luo, Chunguang Wang, Zhicheng Wang +8

We report 75As-nuclear magnetic resonance (NMR) and nuclear quadrupole resonance (NQR) measurements on transition-metal arsenides LaRu2As2, KCa2Fe4As4F2, and A2Cr3As3. In the super…

cond-mat.mtrl-sci2023

Phase transitions associated with magnetic-field induced topological orbital momenta in a non-collinear antiferromagnet

Sihao Deng, Olena Gomonay, Jie Chen +12

Resistivity measurements are widely exploited to uncover electronic excitations and phase transitions in metallic solids. While single crystals are preferably studied to explore cr…

cs.AI2024

Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis

Rui Zhou, Yanxia Zhang, Chenyang Yuan +4

This paper introduces a generative model designed for multimodal control over text-to-image foundation generative AI models such as Stable Diffusion, specifically tailored for engi…

cs.CV2022

Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting

Rui Zhou, Hongyu Zhou, Huidong Gao +3

Accurate, long-term forecasting of pedestrian trajectories in highly dynamic and interactive scenes is a long-standing challenge. Recent advances in using data-driven approaches ha…

cs.RO2025

CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model

Dapeng Zhang, Fei Shen, Rui Zhao +5

Autonomous driving represents a prominent application of artificial intelligence. Recent approaches have shifted from focusing solely on common scenarios to addressing complex, lon…

cs.CV2023

Multi-Exposure HDR Composition by Gated Swin Transformer

Rui Zhou, Yan Niu

Fusing a sequence of perfectly aligned images captured at various exposures, has shown great potential to approach High Dynamic Range (HDR) imaging by sensors with limited dynamic…

math.OC2025

An Efficient and Globally Optimal Algorithm for Nonconvex QCQP with One Equality Constraint

Licheng Zhao, Rui Zhou, Wenqiang Pu

In this paper, we concentrate on a particular category of quadratically constrained quadratic programming (QCQP): nonconvex QCQP with one equality constraint. This type of QCQP pro…

cs.LG2025

DGSense: A Domain Generalization Framework for Wireless Sensing

Rui Zhou, Yu Cheng, Songlin Li +2

Wireless sensing is of great benefits to our daily lives. However, wireless signals are sensitive to the surroundings. Various factors, e.g. environments, locations, and individual…

cs.AI2025

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach

Tianpeng Pan, Wenqiang Pu, Licheng Zhao +1

Automated optimization modeling (AOM) has evoked considerable interest with the rapid evolution of large language models (LLMs). Existing approaches predominantly rely on prompt en…

cs.CV2026

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts

Haolei Xu, Haiwen Hong, Hongxing Li +7

Multimodal Mixture-of-Experts (MoE) models have achieved remarkable performance on vision-language tasks. However, we identify a puzzling phenomenon termed Seeing but Not Thinking:…

cs.RO2026

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation

Qinwen Xu, Jiaming Liu, Rui Zhou +11

Despite strong generalization capabilities, Vision-Language-Action (VLA) models remain constrained by the high cost of expert demonstrations and limited real-world interaction. Whi…

cond-mat.supr-con2026

Bulk superconductivity up to 96 K in pressurized nickelate single crystals

Feiyu Li, Zhenfang Xing, Di Peng +24

Recently, the Ruddlesden-Popper bilayer nickelate has emerged as a superconductor with a transition temperature () of approximately 80 K above 14 GPa (Refs. 1-3)…

cs.CV2026

DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving

Zhiye Wang, Yanbo Jiang, Rui Zhou +5

Large language models (LLMs) have shown great promise for autonomous driving. However, discretizing numbers into tokens limits precise numerical reasoning, fails to reflect the pos…

cond-mat.supr-con2026

Electrically-controllable superconducting memory effect in UTe2

Zheyu Wu, Hanyi Chen, Mengmeng Long +13

If a computer could be assembled from superconducting components, the energy efficiency would far surpass that of conventional electronics. Historic research efforts towards this g…

eess.AS2024

Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR

Rui Zhou, Xian Li, Ying Fang +1

In this work, we propose Mel-FullSubNet, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (…

q-bio.NC2021

A General Framework for Revealing Human Mind with auto-encoding GANs

Pan Wang, Rui Zhou, Shuo Wang +6

Addressing the question of visualising human mind could help us to find regions that are associated with observed cognition and responsible for expressing the elusive mental image,…

quant-ph2023

Quantum Algorithm for Maximum Biclique Problem

Xiaofan Li, Prasenjit Mitra, Rui Zhou +1

Identifying a biclique with the maximum number of edges bears considerable implications for numerous fields of application, such as detecting anomalies in E-commerce transactions,…

cond-mat.mtrl-sci2023

Observation of Emergent Superconductivity in the Quantum Spin Hall Insulator Ta2Pd3Te5 via Pressure Manipulation

Hui Yu, Dayu Yan, Zhaopeng Guo +13

Quantum Spin Hall (QSH) insulators possess distinct helical in-gap states, enabling their edge states to act as one-dimensional conducting channels when backscattering is prohibite…

cond-mat.supr-con2019

Hidden magnetism at the pseudogap critical point of a high temperature superconductor

Mehdi Frachet, Igor Vinograd, Rui Zhou +17

The mysterious pseudogap phase of cuprate superconductors ends at a critical hole doping level p* but the nature of the ground state below p* is still debated. Here, we show that t…

cs.DS2020

Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs

Lu Chen, Chengfei Liu, Rui Zhou +2

Given a bipartite graph, the maximum balanced biclique (\textsf{MBB}) problem, discovering a mutually connected while equal-sized disjoint sets with the maximum cardinality, plays…

cs.LG2026

WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning

Haojin Yang, Rui Hu, Zequn Sun +3

Diffusion Language Models (DLMs) have shown strong potential for text generation and are becoming a competitive alternative to autoregressive models. The denoising strategy plays a…

physics.optics2015

Numerical investigation into the injection-locking phenomena of gain switched lasers for optical frequency comb generation

Sean P. O Duill, Prince M. Anandarajah, Rui Zhou +1

We present detailed numerical simulations of the laser dynamics that describe optical frequency comb formation by injection-locking a gain-switched laser. The typical rate equation…

cs.DB2013

Query-driven Frequent Co-occurring Term Extraction over Relational Data using MapReduce

Jianxin Li, Chengfei Liu, Liang Yao +2

In this paper we study how to efficiently compute \textit{frequent co-occurring terms} (FCT) in the results of a keyword query in parallel using the popular MapReduce framework. Ta…

astro-ph.GA2025

Supernova Siblings and Spectroscopic Host-Galaxy Properties

Laura Salo, Rui Zhou, Samuel Johnson +2

Over the past century, supernova (SN) searches have detected multiple supernovae (SNe) in hundreds of individual galaxies. So-called SN siblings discovered in the same galaxy prese…

cs.NI2016

Mitigation of relative intensity noise of Quantum Dash mode-locked lasers for PAM4 based optical interconnects using encoding techniques

Vidak Vujicic, Aravind P. Anthur, Arsalan Saljoghei +7

Quantum Dash (Q-Dash) Passively Mode-Locked Lasers (PMLLs) exhibit significant low frequency Relative Intensity Noise (RIN), due to the high Mode Partition Noise (MPN), which preve…

hep-ph2008

decays and the NLO contributions in the pQCD Approach

Jing Liu, Rui Zhou, Zhen-Jun Xiao

By employing the perturbative QCD(pQCD) factorization approach, we calculated the partial next-to-leading order (NLO) contributions to decays ($P= π, K, \etap $), co…

cond-mat.str-el2026

Metamagnetism in UTe2: the roles of itinerancy and localization

Theodore I. Weinberger, Daniel Shaffer, Zheyu Wu +12

The metamagnetic transition in UTe plays a key role in stabilizing two enigmatic field-induced superconducting phases. One of these phases (SC2) is truncated by the transition,…

cs.LG2026

Fora: From Weight-Space to Function-Space Protection in Capability-Preserving Fine-Tuning

Rui Zhou, Tianci Xie

Full fine-tuning adapts large language models to new tasks but can erode capabilities they already possess. Existing remedies protect through proxies such as parameter distances, i…

physics.optics2023

Coherent perfect absorber and laser induced by directional emissions in the non-Hermitian photonic crystals

Zhifeng Li, Hai Lin, Rongxin Tang +5

In this study, we propose the application of non-Hermitian photonic crystals (PCs) with anisotropic emissions. Unlike a ring of exceptional points (EPs) in isotropic non-Hermitian…

stat.CO2019

Robust Factor Analysis Parameter Estimation

Rui Zhou, Junyan Liu, Sandeep Kumar +1

This paper considers the problem of robustly estimating the parameters of a heavy-tailed multivariate distribution when the covariance matrix is known to have the structure of a lo…

cs.CV2025

ADUGS-VINS: Generalized Visual-Inertial Odometry for Robust Navigation in Highly Dynamic and Complex Environments

Rui Zhou, Jingbin Liu, Junbin Xie +3

Visual-inertial odometry (VIO) is widely used in various fields, such as robots, drones, and autonomous vehicles. However, real-world scenes often feature dynamic objects, compromi…

cond-mat.str-el2025

Universal Magnetocaloric Effect near Quantum Critical Point of Magnon Bose-Einstein Condensation

Junsen Xiang, Enze Lv, Qinxin Shen +19

Bose-Einstein condensation (BEC), a macroscopic quantum phenomenon arising from phase coherence and bosonic statistics, has been realized in quantum magnets. Here, we report the ob…

hep-ph2025

corrections to holographic heavy meson dissociation

Zhou-Run Zhu, Manman Sun, Rui Zhou +1

In this paper, we investigate the corrections to the dissociation of heavy quarkonium in the Gauss-Bonnet gravitational background. We analyze the impact of Gauss-Bonnet para…

cs.CV2024

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert

Dapeng Zhang, Dayu Chen, Peng Zhi +6

Constructing online High-Definition (HD) maps is crucial for the static environment perception of autonomous driving systems (ADS). Existing solutions typically attempt to detect v…

cs.RO2024

Multi-Robot Pursuit in Parameterized Formation via Imitation Learning

Jinyong Chen, Rui Zhou, Zhaozong Wang +2

This paper studies the problem of multi-robot pursuit of how to coordinate a group of defending robots to capture a faster attacker before it enters a protected area. Such operatio…

eess.SP2022

A Data Quality Assessment Framework for AI-enabled Wireless Communication

Hanning Tang, Liusha Yang, Rui Zhou +5

Using artificial intelligent (AI) to re-design and enhance the current wireless communication system is a promising pathway for the future sixth-generation (6G) wireless network. T…

hep-ph2026

Effects of Axion Interactions on Quark Stars in 4D Einstein-Gauss-Bonnet Gravity

Rui Zhou, Ming-zheng-xuan Wu, Xin-ran Yang +5

We explore the properties of quark stars by combining the microscopic axion-extended Polyakov--Nambu--Jona-Lasinio model with the macroscopic framework of four-dimensional Einstein…

astro-ph.CO2026

How to augment cosmic shear measurements with radio polarimetry of galaxies?

Liang Dai, Junwu Huang, Weichen Winston Yin +2

The integral polarization of spiral galaxies in the radio band has been proposed as a new tracer of the intrinsic galaxy shape that augments lensing shear measurements. We revisit…

eess.AS2022

Speech Dereverberation with A Reverberation Time Shortening Target

Rui Zhou, Wenye Zhu, Xiaofei Li

This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…

cond-mat.supr-con2025

Robust Charge-Density Wave Correlations in Optimally-Doped YBa2Cu3Oy

Rui Zhou, Igor Vinograd, Hadrien Mayffre +7

Charge-density wave (CDW) order is a key property of high-Tc cuprates, but its boundaries in the phase diagram and potential connections to other phases remain controversial. We re…

cs.AR2026

GOMA: Geometrically Optimal Mapping via Analytical Modeling for Spatial Accelerators

Wulve Yang, Hailong Zou, Rui Zhou +5

General matrix multiplication (GEMM) on spatial accelerators is highly sensitive to mapping choices in both execution efficiency and energy consumption. However, the mapping space…

cs.RO2025

Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios

Rui Zhou

Ensuring the safety of autonomous vehicles (AVs) is paramount in their development and deployment. Safety-critical scenarios pose more severe challenges, necessitating efficient te…

cs.IR2022

Sequential Recommendation with Causal Behavior Discovery

Zhenlei Wang, Xu Chen, Rui Zhou +3

The key of sequential recommendation lies in the accurate item correlation modeling. Previous models infer such information based on item co-occurrences, which may fail to capture…