Publications (306)
An Optically Targeted Search for Gravitational Waves emitted by Core-Collapse Supernovae during the First and Second Observing Runs of Advanced LIGO and Advanced Virgo
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1195
We present the results from a search for gravitational-wave transients associated with core-collapse supernovae observed within a source distance of approximately 20 Mpc during the…
GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1048
We describe the observation of GW170104, a gravitational-wave signal produced by the coalescence of a pair of stellar-mass black holes. The signal was measured on January 4, 2017 a…
Beyond the linear tide: impact of the non-linear tidal response of neutron stars on gravitational waveforms from binary inspirals
Hang Yu, Nevin N. Weinberg, Phil Arras +2
Tidal interactions in coalescing binary neutron stars modify the dynamics of the inspiral and hence imprint a signature on their gravitational wave (GW) signals in the form of an e…
A Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1097
The detection of gravitational waves with Advanced LIGO and Advanced Virgo has enabled novel tests of general relativity, including direct study of the polarization of gravitationa…
Observation of quantum-classical transition behavior of LGI in a dissipative quantum gas
Qinxuan Peng, Bolong Jiao, Hang Yu +4
The Leggett-Garg inequality (LGI) is a powerful tool for distinguishing between quantum and classical properties in studies of macroscopic systems. Applying the LGI to non-Hermitia…
Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
Hang Yu, Huidong Liu, Qingchen Zhang +5
Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failure (ARF) in the ICU. However, inappropriate ventilator settings could cause venti…
-Breathers in the diatomic -Fermi-Pasta-Ulam- Tsingou chains
Lin Deng, Hang Yu, Zhigang Zhu +3
-Breathers (QBs) represent a quintessential phenomenon of energy localization, manifesting as stable periodic orbits exponentially localized in normal mode space. Their existenc…
Training Neural Networks with Optimal Double-Bayesian Learning
Vy Bui, Hang Yu, Karthik Kantipudi +2
Backpropagation with gradient descent is a common optimization strategy employed by most neural network architectures in machine learning. However, finding optimal hyperparameters…
HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions
Hang Yu, Julian Jordan, Julian Schmidt +3
Safe and interpretable motion planning in complex urban environments needs to reason about bidirectional multi-agent interactions. This reasoning requires to estimate the costs of…
Search for transient gravitational wave signals associated with magnetar bursts during Advanced LIGO's second observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1129
We present the results of a search for short and intermediate-duration gravitational-wave signals from four magnetar bursts in Advanced LIGO's second observing run. We find no evid…
Perception-Aware Autonomous Exploration in Feature-Limited Environments
Moji Shi, Rajitha de Silva, Hang Yu +2
Autonomous exploration in unknown environments typically relies on onboard state estimation for localisation and mapping. Existing exploration methods primarily maximise coverage e…
First low-frequency Einstein@Home all-sky search for continuous gravitational waves in Advanced LIGO data
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1039
We report results of a deep all-sky search for periodic gravitational waves from isolated neutron stars in data from the first Advanced LIGO observing run. This search investigates…
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning
Zhenhailong Wang, Hang Yu, Manling Li +2
Despite achieving state-of-the-art zero-shot performance, existing vision-language models still fall short of few-shot transfer ability on domain-specific problems. Classical fine-…
Tests of General Relativity with GW170817
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1145
The recent discovery by Advanced LIGO and Advanced Virgo of a gravitational wave signal from a binary neutron star inspiral has enabled tests of general relativity (GR) with this n…
PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks
Hang Yu, Aishan Liu, Xianglong Liu +5
Adversarial images are designed to mislead deep neural networks (DNNs), attracting great attention in recent years. Although several defense strategies achieved encouraging robustn…
Search for intermediate mass black hole binaries in the first and second observing runs of the Advanced LIGO and Virgo network
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1196
Gravitational wave astronomy has been firmly established with the detection of gravitational waves from the merger of ten stellar mass binary black holes and a neutron star binary.…
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots
Hang Yu, Qidi Fang, Shijie Fang +2
Enhancing the expressiveness of human teaching is vital for both improving robots' learning from humans and the human-teaching-robot experience. In this work, we characterize and t…
Resonant tidal excitation of superfluid neutron stars in coalescing binaries
Hang Yu, Nevin N. Weinberg
We study the resonant tidal excitation of g modes in coalescing superfluid neutron star (NS) binaries and investigate how such tidal driving impacts the gravitational-wave (GW) sig…
Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +992
A wide variety of astrophysical and cosmological sources are expected to contribute to a stochastic gravitational-wave background. Following the observations of GW150914 and GW1512…
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection
Jian Wu, Hang Yu, Bingchang Liu +4
Adapting large language models (LLMs) to specific domains often faces a critical bottleneck: the scarcity of high-quality, human-curated data. While large volumes of unchecked data…
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
Hai Zhang, Hang Yu, Junqiao Zhao +5
Designing and deriving effective model-based reinforcement learning (MBRL) algorithms with a performance improvement guarantee is challenging, mainly attributed to the high couplin…
All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369
Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…
VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
Yanlong Wang, Hang Yu, Jian Xu +7
Large time series foundation models often adopt channel-independent architectures to handle varying data dimensions, but this design ignores crucial cross-channel dependencies. Mea…
All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1130
We present results of an all-sky search for continuous gravitational waves (CWs), which can be produced by fast-spinning neutron stars with an asymmetry around their rotation axis,…
Effective-one-body model for coalescing binary neutron stars: Incorporating tidal spin and enhanced radiation from dynamical tides
Hang Yu, Shu Yan Lau
Tidal interactions in a coalescing binary neutron star (BNS) or neutron star-black hole (NSBH) system driven by gravitational wave (GW) radiation contain precious information about…
Gravitational-wave constraints on the equatorial ellipticity of millisecond pulsars
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1333
We present a search for continuous gravitational waves from five radio pulsars, comprising three recycled pulsars (PSR J0437-4715, PSR J0711-6830, and PSR J0737-3039A) and two youn…
Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1338
We report on the population of the 47 compact binary mergers detected with a false-alarm rate 1/yr in the second LIGO--Virgo Gravitational-Wave Transient Catalog, GWTC-2. We observ…
Quantum correlations between the light and kilogram-mass mirrors of LIGO
Haocun Yu, L. McCuller, M. Tse +196
Measurement of minuscule forces and displacements with ever greater precision encounters a limit imposed by a pillar of quantum mechanics: the Heisenberg uncertainty principle. A l…
Low-Latency Gravitational Wave Alerts for Multi-Messenger Astronomy During the Second Advanced LIGO and Virgo Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1135
Advanced LIGO's second observing run (O2), conducted from November 30, 2016 to August 25, 2017, combined with Advanced Virgo's first observations in August 2017 witnessed the birth…
Relativistic and Dynamical Love
Abhishek Hegade K. R., K. J. Kwon, Tejaswi Venumadhav +2
Gravitational waves emitted in the late inspiral of binary neutron stars are affected by their tidal deformation. We study the tidal dynamics in full general relativity through mat…
GW190521: A Binary Black Hole Merger with a Total Mass of
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1253
On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio…
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
Ruiyang Zhang, Hu Zhang, Hang Yu +1
The unsupervised 3D object detection is to accurately detect objects in unstructured environments with no explicit supervisory signals. This task, given sparse LiDAR point clouds,…
BALANCE: Bayesian Linear Attribution for Root Cause Localization
Chaoyu Chen, Hang Yu, Zhichao Lei +6
Root Cause Analysis (RCA) plays an indispensable role in distributed data system maintenance and operations, as it bridges the gap between fault detection and system recovery. Exis…
Super-Eddington winds from Type I X-ray bursts
Hang Yu, Nevin N. Weinberg
We present hydrodynamic simulations of spherically symmetric super-Eddington winds from radius-expansion type I X-ray bursts. Previous studies assumed a steady-state wind and treat…
See What I Mean? Expressiveness and Clarity in Robot Display Design
Matthew Ebisu, Hang Yu, Reuben Aronson +1
Nonverbal visual symbols and displays play an important role in communication when humans and robots work collaboratively. However, few studies have investigated how different type…
Integrating LTL Constraints into PPO for Safe Reinforcement Learning
Maifang Zhang, Hang Yu, Qian Zuo +3
This paper proposes Proximal Policy Optimization with Linear Temporal Logic Constraints (PPO-LTL), a framework that integrates safety constraints written in LTL into PPO for safe r…
Optimal subsampling for large scale Elastic-net regression
Hang Yu, Zhenxing Dou, Zhiwei Chen +1
Datasets with sheer volume have been generated from fields including computer vision, medical imageology, and astronomy whose large-scale and high-dimensional properties hamper the…
Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes
Weijie Ren, Wenjia Xie, Ye Zhang +2
Modern shock-capturing schemes often suffer from numerical shock anomalies if the flow field contains strong shocks, which may limit their further application in hypersonic flow co…
First measurement of the Hubble constant from a dark standard siren using the Dark Energy Survey galaxies and the LIGO/Virgo binary-black-hole merger GW170814
The DES Collaboration, the LIGO Scientific Collaboration, the Virgo Collaboration +1201
We present a multi-messenger measurement of the Hubble constant H_0 using the binary-black-hole merger GW170814 as a standard siren, combined with a photometric redshift catalog fr…
DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover
Youzhuo Wang, Jiayi Ye, Chuyang Xiao +6
Handover between a human and a dexterous robotic hand is a fundamental yet challenging task in human-robot collaboration. It requires handling dynamic environments and a wide varie…
Nonlinear hydrodynamics in spinning neutron stars: Theoretical universal relations and equilibrium solutions
Hang Yu, Giorgio Nicolini, Shu Yan Lau +6
We study tides during the inspiral of a binary neutron star (BNS) system, including nonlinear hydrodynamical interactions. Using an affine approximation that treats the perturbed N…
Parallel parametric linear programming solving, and application to polyhedral computations
Camille Coti, David Monniaux, Hang Yu
Parametric linear programming is central in polyhedral computations and in certain control applications.We propose a task-based scheme for parallelizing it, with quasi-linear speed…
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Hang Yu, Yufei Xu, Jing Zhang +3
Accurate animal pose estimation is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife conservation.…
Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations
Hang Yu, Yu-Hu Yan, Peng Zhao
Gradient-variation online learning has drawn increasing attention due to its deep connections to game theory, optimization, etc. It has been studied extensively in the full-informa…
Reducing Scattered Light in LIGO's Third Observing Run
S Soni, C Austin, A Effler +195
Noise due to scattered light has been a frequent disturbance in the Advanced LIGO gravitational wave detectors, hindering the detection of gravitational waves. The non stationary s…
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving
Peizheng Li, Zhenghao Zhang, David Holtz +6
End-to-end autonomous driving methods built on vision language models (VLMs) have undergone rapid development driven by their universal visual understanding and strong reasoning ca…
Open-world Hand-Object Interaction Video Generation Based on Structure and Contact-aware Representation
Haodong Yan, Hang Yu, Zhide Zhong +8
Generating realistic hand-object interactions (HOI) videos is a significant challenge due to the difficulty of modeling physical constraints (e.g., contact and occlusion between ha…
Constraints on dark photon dark matter using data from LIGO's and Virgo's third observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1627
We present a search for dark photon dark matter that could couple to gravitational-wave interferometers using data from Advanced LIGO and Virgo's third observing run. To perform th…
All-sky search for long-duration gravitational-wave bursts in the third Advanced LIGO and Advanced Virgo run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1627
After the detection of gravitational waves from compact binary coalescences, the search for transient gravitational-wave signals with less well-defined waveforms for which matched…
Accurate and Efficient Waveform Model for Precessing Binary Black Holes
Hang Yu, Javier Roulet, Tejaswi Venumadhav +2
We present IMRPhenomXODE, a new phenomenological frequency-domain waveform approximant for gravitational wave (GW) signals from precessing binary black holes (BBHs) with generic sp…
Directional limits on persistent gravitational waves using data from Advanced LIGO's first two observing runs
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1132
We perform an unmodeled search for persistent, directional gravitational wave (GW) sources using data from the first and second observing runs of Advanced LIGO. We do not find evid…
GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1099
The LIGO Scientific and Virgo Collaborations have announced the first detection of gravitational waves from the coalescence of two neutron stars. The merger rate of binary neutron…
Effects of transients in LIGO suspensions on searches for gravitational waves
M. Walker, T. D. Abbott, S. M. Aston +200
This paper presents an analysis of the transient behavior of the Advanced LIGO suspensions used to seismically isolate the optics. We have characterized the transients in the longi…
Are WASP-107-like Systems Consistent with High-eccentricity Migration?
Hang Yu, Fei Dai
WASP-107 b seems to be a poster child of the long-suspected high-eccentricity migration scenario. It is on a 5.7-day, polar orbit. The planet is Jupiter-like in radius but Neptune-…
Search for subsolar-mass black hole binaries in the second part of Advanced LIGO's and Advanced Virgo's third observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1702
We describe a search for gravitational waves from compact binaries with at least one component with mass 0.2 -- and mass ratio in Advanced LIGO…
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
Codefuse, Ling Team, : +30
Recent advancements in code large language models (LLMs) have demonstrated remarkable capabilities in code generation and understanding. It is still challenging to build a code LLM…
All-sky search for long-duration gravitational wave transients in the first Advanced LIGO observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +990
We present the results of a search for long-duration gravitational wave transients in the data of the LIGO Hanford and LIGO Livingston second generation detectors between September…
Narrowband searches for continuous and long-duration transient gravitational waves from known pulsars in the LIGO-Virgo third observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1658
Isolated neutron stars that are asymmetric with respect to their spin axis are possible sources of detectable continuous gravitational waves. This paper presents a fully-coherent s…
Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization
Peng Zhao, Yu-Hu Yan, Hang Yu +1
Universal online learning aims to achieve optimal regret guarantees without requiring prior knowledge of the curvature of online functions. Existing methods have established minima…
A Joint Fermi-GBM and LIGO/Virgo Analysis of Compact Binary Mergers From the First and Second Gravitational-wave Observing Runs
ray Burst Monitor Team, the LIGO Scientific Collaboration, the Virgo Collaboration +1262
We present results from offline searches of Fermi Gamma-ray Burst Monitor (GBM) data for gamma-ray transients coincident with the compact binary coalescences observed by the gravit…
ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression
Yufeng Zhang, Wenrui Dai, Hang Yu +4
Neural Image Compression (NIC) has revolutionized image compression with its superior rate-distortion performance and multi-task capabilities, supporting both human visual percepti…
Direct determination of supermassive black hole properties with gravitational-wave radiation from surrounding stellar-mass black hole binaries
Hang Yu, Yanbei Chen
A significant number of stellar-mass black-hole (BH) binaries may merge in galactic nuclei or in the surrounding gas disks. With purposed space-borne gravitational-wave observatori…
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
Wenqi Shao, Hang Yu, Zhaoyang Zhang +3
This work presents a probabilistic channel pruning method to accelerate Convolutional Neural Networks (CNNs). Previous pruning methods often zero out unimportant channels in traini…
Open data from the third observing run of LIGO, Virgo, KAGRA and GEO
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1741
The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data…
Quantifying alpha clustering in the ground states of 16-O and 20-Ne
E. Harris, M. Barbui, J. Bishop +18
Understanding the role of multi-nucleon correlations in the structure of light nuclei is at the forefront of modern nuclear science. In this letter, we present a quantitative bench…
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
Hongyuan Tao, Ying Zhang, Zhenhao Tang +12
Recent advances in Large Language Models (LLMs) have shown promise in function-level code generation, yet repository-level software engineering tasks remain challenging. Current so…
Searches for Continuous Gravitational Waves from Fifteen Supernova Remnants and Fomalhaut b with Advanced LIGO
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1129
We describe directed searches for continuous gravitational waves from sixteen well localized candidate neutron stars assuming none of the stars has a binary companion. The searches…
Channel Access Methods for RF-Powered IoT Networks: A Survey
Hang Yu, Lei Zhang, Yiwei Li +2
Many Internet of Things (IoT) networks with Radio Frequency (RF) powered devices operate over a shared medium. They thus require a channel access protocol. Unlike conventional netw…
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Bingchang Liu, Chaoyu Chen, Cong Liao +9
Code LLMs have emerged as a specialized research field, with remarkable studies dedicated to enhancing model's coding capabilities through fine-tuning on pre-trained models. Previo…
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Peng Di, Jianguo Li, Hang Yu +35
Code Large Language Models (Code LLMs) have gained significant attention in the industry due to their wide applications in the full lifecycle of software engineering. However, the…
Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO--Virgo data
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1667
We present a directed search for continuous gravitational wave (CW) signals emitted by spinning neutron stars located in the inner parsecs of the Galactic Center (GC). Compelling e…
Search for Gravitational Waves Associated with Gamma-Ray Bursts Detected by Fermi and Swift During the LIGO-Virgo Run O3b
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1632
We search for gravitational-wave signals associated with gamma-ray bursts detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced L…
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes
Hang Yu, Songwei Wu, Justin Dauwels
Estimating time-varying graphical models are of paramount importance in various social, financial, biological, and engineering systems, since the evolution of such networks can be…
Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks
Hang Yu, Rana X. Adhikari
Currently, the sub-60 Hz sensitivity of gravitational-wave (GW) detectors like Advanced LIGO is limited by the control noises from auxiliary degrees of freedom, which nonlinearly c…
Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations
Michael Kurenkov, Sajad Marvi, Julian Schmidt +6
The increasing interest in autonomous driving systems has highlighted the need for an in-depth analysis of human driving behavior in diverse scenarios. Analyzing human data is cruc…
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Jin Qin, Zihan Liao, Ziyin Zhang +3
We present C2LLM - Contrastive Code Large Language Models, a family of code embedding models in both 0.5B and 7B sizes. Building upon Qwen-2.5-Coder backbones, C2LLM adopts a Pooli…
LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations
Yan Fang, Jialin Chen, Chun Gan +5
LLM-native advertising embeds sponsored content directly into model-generated responses, shifting the unit of sale from a fixed slot to a moment within an evolving conversation. Ex…
Search for High-energy Neutrinos from Binary Neutron Star Merger GW170817 with ANTARES, IceCube, and the Pierre Auger Observatory
A. Albert, M. Andre, M. Anghinolfi +1931
The Advanced LIGO and Advanced Virgo observatories recently discovered gravitational waves from a binary neutron star inspiral. A short gamma-ray burst (GRB) that followed the merg…
GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1429
The second Gravitational-Wave Transient Catalog reported on 39 compact binary coalescences observed by the Advanced LIGO and Advanced Virgo detectors between 1 April 2019 15:00 UTC…
Search for intermediate mass black hole binaries in the first observing run of Advanced LIGO
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1040
During their first observational run, the two Advanced LIGO detectors attained an unprecedented sensitivity, resulting in the first direct detections of gravitational-wave signals…
Non-Abelian gauge potential driven localization transition in quasiperiodic optical lattices
En Guo Guan, Hang Yu, Gang Wang
Gauge potential is an emergent concept in systems of ultracold atomic gases. Derived from quantum waves immersed in an \emph{Abelian} gauge, the quasiperiodic Aubry-Andre-Harper (A…
Xihe: Scalable Zero-Shot Time Series Learner Via Hierarchical Interleaved Block Attention
Yinbo Sun, Yuchen Fang, Zhibo Zhu +7
The rapid advancement of time series foundation models (TSFMs) has been propelled by migrating architectures from language models. While existing TSFMs demonstrate impressive perfo…
Irregular Repeating Tidal Disruption Events due to Diffusive Tides
Shu Yan Lau, Ethan McKeever, Hang Yu
A repeating partial tidal disruption event (rpTDE) is typically modeled as a star on a bound orbit that is partially disrupted by a massive black hole (MBH) at each pericenter pass…
Hunting for Dark Matter Subhalos in Strong Gravitational Lensing with Neural Networks
Joshua Yao-Yu Lin, Hang Yu, Warren Morningstar +2
Dark matter substructures are interesting since they can reveal the properties of dark matter. Collisionless N-body simulations of cold dark matter show more substructures compared…
NeuSort: An Automatic Adaptive Spike Sorting Approach with Neuromorphic Models
Hang Yu, Yu Qi, Gang Pan
Objective. Spike sorting, a critical step in neural data processing, aims to classify spiking events from single electrode recordings based on different waveforms. This study aims…
GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1659
The third Gravitational-Wave Transient Catalog (GWTC-3) describes signals detected with Advanced LIGO and Advanced Virgo up to the end of their third observing run. Updating the pr…
Automatic Learning to Detect Concept Drift
Hang Yu, Tianyu Liu, Jie Lu +1
Many methods have been proposed to detect concept drift, i.e., the change in the distribution of streaming data, due to concept drift causes a decrease in the prediction accuracy o…
Bias-based Universal Adversarial Patch Attack for Automatic Check-out
Aishan Liu, Jiakai Wang, Xianglong Liu +3
Adversarial examples are inputs with imperceptible perturbations that easily misleading deep neural networks(DNNs). Recently, adversarial patch, with noise confined to a small and…
Training Robust Deep Neural Networks via Adversarial Noise Propagation
Aishan Liu, Xianglong Liu, Chongzhi Zhang +3
In practice, deep neural networks have been found to be vulnerable to various types of noise, such as adversarial examples and corruption. Various adversarial defense methods have…
C2GA: A Class-Controllable Generative Augmentation Framework for Respiratory Sound Classification
Ziqi Ma, Mengyu Han, Anteng Cai +4
Background: Respiratory sound classification plays a critical role in the clinical identification of pulmonary pathologies. However, its performance is often hindered by the limite…
A Problem-Oriented Perspective and Anchor Verification for Code Optimization
Tong Ye, Tengfei Ma, Xuhong Zhang +3
Large Language Models (LLMs) have shown remarkable capabilities in solving various programming tasks, such as code generation. However, their potential for code optimization, parti…
Superelasticity and Cryogenic Linear Shape Memory Effects of CaFe2As2
John T. Sypek, Hang Yu, Keith J. Dusoe +8
Shape memory materials have the ability to recover their original shape after a significant amount of deformation when they are subjected to certain stimuli, for instance, heat or…
Excitation of f-modes during mergers of spinning binary neutron star
Sizheng Ma, Hang Yu, Yanbei Chen
Tidal effects have important imprints on gravitational waves (GWs) emitted during the final stage of the coalescence of binaries that involve neutron stars (NSs). Dynamical tides c…
Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015-2017 LIGO Data
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1149
We present a search for gravitational waves from 221 pulsars with rotation frequencies Hz. We use advanced LIGO data from its first and second observing runs spanning…
Point What You Mean: Visually Grounded Instruction Policy
Hang Yu, Juntu Zhao, Yufeng Liu +9
Vision-Language-Action (VLA) models align vision and language with embodied control, but their object referring ability remains limited when relying solely on text prompt, especial…
Beamsteering on Mobile Devices: Network Capacity and Client Efficiency
Hang Yu, Lin Zhong, Ashutosh Sabharwal
Current and emerging mobile devices are omni directional in wireless communication. Such omni directionality not only limits device energy efficiency but also poses a significant c…
Impact on Inferred Neutron Star Equation of State due to Nonlinear Hydrodynamics, Background Spin, and Relativity
Joseph Bretz, Hang Yu
Tidal interaction is a unique, detectable signature in gravitational wave signals from inspiraling binary neutron stars (BNSs), which can be used to constrain the neutron star (NS)…
Towards Multi-Subsession Conversational Recommendation
Yu Ji, Qi Shen, Shixuan Zhu +4
Conversational recommendation systems (CRS) could acquire dynamic user preferences towards desired items through multi-round interactive dialogue. Previous CRS mainly focuses on th…
Charged-particle bound states in periodic boxes
Hang Yu, Sebastian König, Dean Lee
We consider the binding energy of a two-body system with a repulsive Coulomb interaction in a finite periodic volume. We define the finite-volume Coulomb potential as the usual Cou…
Detecting resonant tidal excitations of Rossby modes in coalescing neutron-star binaries with third-generation gravitational-wave detectors
Sizheng Ma, Hang Yu, Yanbei Chen
Rossby modes (r-modes) of rotating neutron stars can be excited by the gravitomagnetic forces in coalescing binary systems. The previous study by Flanagan and Racine [Phys. Rev. D…