Publications (196)
Coupled Channel Effects for the Charmed-Strange Mesons
Wei Hao, Yu Lu, Bing-Song Zou
We make a systematic calculation of the spectra and hadronic decays of the system in a coupled channel framework, where the unquenched effects are induced by the mode…
Preliminary Application of Reinsch Splines to Cosmology: Transition Redshift Determination with Simulated OHD
De-Zi Liu, Shuo Yuan, Yu Lu +1
Many schemes have been proposed to perform a model-independent constraint on cosmological dynamics, such as nonparametric dark energy equation of state (EoS) Ï(z) or the decelerat…
Clumpy Galaxies in CANDELS. II. Physical Properties of UV-bright Clumps at
Yicheng Guo, Marc Rafelski, Eric F. Bell +20
Studying giant star-forming clumps in distant galaxies is important to understand galaxy formation and evolution. At present, however, observers and theorists have not reached a co…
Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
Tianni Zhang, Yuyao Wang, Yu Lu +1
Generalized partially linear single-index models (GPLSIMs) provide a flexible and interpretable semiparametric framework for longitudinal outcomes by combining a low-dimensional pa…
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
Zechuan Zhang, Ji Xie, Yu Lu +2
Instruction-based image editing enables precise modifications via natural language prompts, but existing methods face a precision-efficiency tradeoff: fine-tuning demands massive d…
Proposal for the search for exotic spin-spin interactions at the micrometer scale using functionalized cantilever force sensors
Qian Wang, Ze Ouyang, Yu Lu +3
Spin-dependent exotic interactions can be generated by exchanging hypothetical bosons, which were introduced to solve some puzzles in physics. Many precision experiments have been…
Adaptive Penalized Doubly Robust Regression for Longitudinal Data
Yuyao Wang, Yu Lu, Tianni Zhang +1
Longitudinal data often involve heterogeneity, sparse signals, and contamination from response outliers or high-leverage observations especially in biomedical science. Existing met…
Design of laser uniform illumination system based on aspheric lens and compound ellipsoidal cavity
Yu Lu, Xiangxiang Zhang, Ruilong Wu +1
In order to achieve uniform laser illumination with small aperture diameter and large field Angle,study laser active illumination system.An aspheric mirror combined with a composit…
A random-walk model for dark matter halo spins
Andrew Benson, Christoph Behrens, Yu Lu
We extend the random-walk model of Vitvitska et al. for predicting the spins of dark matter halos from their merger histories. Using updated merger rates, orbital parameter distrib…
Space weathering of the Moon from in situ detection
Yunzhao Wu, Zhenchao Wang, Yu Lu
Space weathering is an important surface process occurring on the Moon and other airless bodies, especially those that have no magnetic field. The optical effects of the Moon's spa…
On the selection effect of radio quasars in the Sloan Digital Sky Survey
Yu Lu, Tinggui Wang, Hongyan Zhou +1
We identified a large sample of radio quasars, including those with complex radio morphology, from the Sloan Digital Sky Survey (SDSS) and the Faint Images of Radio Sky at Twenty-c…
A Simple yet Effective Framework for Active Learning to Rank
Qingzhong Wang, Haifang Li, Haoyi Xiong +7
While China has become the biggest online market in the world with around 1 billion internet users, Baidu runs the world largest Chinese search engine serving more than hundreds of…
Individualized Rank Aggregation using Nuclear Norm Regularization
Yu Lu, Sahand N. Negahban
In recent years rank aggregation has received significant attention from the machine learning community. The goal of such a problem is to combine the (partially revealed) preferenc…
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets
Yu Lu, Junwei Bao, Zichen Ma +4
High-quality data is essential for conversational recommendation systems and serves as the cornerstone of the network architecture development and training strategy design. Existin…
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +2
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance degrade. Despite its effectivene…
Rate-optimal graphon estimation
Chao Gao, Yu Lu, Harrison H. Zhou
Network analysis is becoming one of the most active research areas in statistics. Significant advances have been made recently on developing theories, methodologies and algorithms…
A Comparison between Semi-Analytic Model Predictions for the CANDELS Survey
Yu Lu, Risa H. Wechsler, Rachel S. Somerville +13
We compare the predictions of three independently developed semi-analytic galaxy formation models that are being used to aid in the interpretation of results from the CANDELS surve…
GINet: Graph Interaction Network for Scene Parsing
Tianyi Wu, Yu Lu, Yu Zhu +4
Recently, context reasoning using image regions beyond local convolution has shown great potential for scene parsing. In this work, we explore how to incorporate the linguistic kno…
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
Yu Lu, Tianni Zhang, Yuyao Wang +1
Longitudinal associations may vary over time, yet allowing every regression effect to be dynamic can inflate estimation variance and obscure interpretable structure. We develop tim…
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
Yu Lu, Yuanzhi Liang, Linchao Zhu +1
Video diffusion models have made substantial progress in various video generation applications. However, training models for long video generation tasks require significant computa…
Timing analysis of Swift J1658.2-4242's outburst in 2018 with Insight-HXMT, NICER and AstroSat
Guangcheng Xiao, Yu Lu, Xiang Ma +18
We present the observational results from a detailed timing analysis of the black hole candidate Swift J1658.2-4242 during its 2018 outburst with the observations of Hard X-ray Mod…
The SAGA Survey: I. Satellite Galaxy Populations Around Eight Milky Way Analogs
Marla Geha, Risa H. Wechsler, Yao-Yuan Mao +8
We present the survey strategy and early results of the "Satellites Around Galactic Analogs" (SAGA) Survey. The SAGA Survey's goal is to measure the distribution of satellite galax…
The distribution of satellites around massive galaxies at 1<z<3 in ZFOURGE/CANDELS: dependence on star formation activity
Lalitwadee Kawinwanichakij, Casey Papovich, Ryan F. Quadri +23
We study the statistical distribution of satellites around star-forming and quiescent central galaxies at 1<z<3 using imaging from the FourStar Galaxy Evolution Survey (ZFOURGE) an…
G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation
Xingyuan Pan, Luyang Huang, Liyan Kang +3
Large Language Models (LLMs) have demonstrated remarkable abilities in general scenarios. Instruction finetuning empowers them to align with humans in various tasks. Nevertheless,…
Is a top-heavy initial mass function needed to reproduce the submillimeter galaxy number counts?
Mohammadtaher Safarzadeh, Yu Lu, Christopher C. Hayward
Matching the number counts and redshift distribution of submillimeter galaxies (SMGs) without invoking modifications to the initial mass function (IMF) has proved challenging for s…
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs
Anqi Li, Yu Lu, Nirui Song +3
Robust therapeutic relationships between counselors and clients are fundamental to counseling effectiveness. The assessment of therapeutic alliance is well-established in tradition…
HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization
Zitang Zhou, Ke Mei, Yu Lu +2
This paper introduces HarmonySet, a comprehensive dataset designed to advance video-music understanding. HarmonySet consists of 48,328 diverse video-music pairs, annotated with det…
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
Lihong Li, Yu Lu, Dengyong Zhou
Contextual bandits are widely used in Internet services from news recommendation to advertising, and to Web search. Generalized linear models (logistical regression in particular)…
Exploring a quantum-information-relevant magnonic material: Ultralow damping at low temperature in the organic ferrimagnet V[TCNE]x
Huma Yusuf, Michael Chilcote, Denis R. Candido +5
Quantum information science and engineering requires novel low-loss magnetic materials for magnon-based quantum-coherent operations. The search for low-loss magnetic materials, tra…
Rediscovery of Numerical Lüscher's Formula from the Neural Network
Yu Lu, Yi-Jia Wang, Ying Chen +1
We present that by predicting the spectrum in discrete space from the phase shift in continuous space, the neural network can remarkably reproduce the numerical Lüscher's formula…
Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs
Anqi Li, Ruihan Wang, Zhaoming Chen +5
Effectively addressing client resistance is a sophisticated clinical skill in psychological counseling, yet practitioners often lack timely and scalable supervisory feedback to ref…
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
Xin Yang, Heng Chang, Zhijian Lai +6
Cross-Domain Recommendation (CDR) seeks to utilize knowledge from different domains to alleviate the problem of data sparsity in the target recommendation domain, and it has been g…
Clustering High-dimensional Data via Feature Selection
Tianqi Liu, Yu Lu, Biqing Zhu +1
High-dimensional clustering analysis is a challenging problem in statistics and machine learning, with broad applications such as the analysis of microarray data and RNA-seq data.…
Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents
Shuai Zhang, Yu Lu, Junwen Liu +4
With the growing humanlike nature of dialog agents, people are now engaging in extended conversations that can stretch from brief moments to substantial periods of time. Understand…
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su, Yu Lu, Shengfeng Pan +3
Position encoding recently has shown effective in the transformer architecture. It enables valuable supervision for dependency modeling between elements at different positions of t…
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas
Xiang Hu, Hongyu Fu, Jinge Wang +7
Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produc…
Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention
Zixuan Peng, Yu Lu, Shengfeng Pan +1
Emotion recognition from speech is a challenging task. Re-cent advances in deep learning have led bi-directional recur-rent neural network (Bi-RNN) and attention mechanism as astan…
Competition Between Thermophoretic Separation and Thermal Convective Mixing
Yu Lu, Guo-Hui Hu
In binary fluid systems under temperature differences, thermophoretic separation and thermal convective mixing are two key mechanisms that affect the processes of transport. The th…
Mineralogy of northern nearside mare basalts
Zhenchao Wang, Yunzhao Wu, Xiaomeng Zhang +1
The mineralogy of mare basalts reflects the chemical composition of the magma source, as well as the physical and chemical environment of the rock's formation. It is significant fo…
Galaxy Ecosystems: gas contents, inflows and outflows
Zhankui Lu, H. J. Mo, Yu Lu
We use a set of observational data for galaxy cold gas mass fraction and gas phase metallicity to constrain the content, inflow and outflow of gas in central galaxies hosted by hal…
Heavy Quark Spin Symmetry Violating Hadronic Transitions of Higher Charmonia
Muhammad Naeem Anwar, Yu Lu, Bing-Song Zou
In heavy quarkonia, hadronic transitions serve as an enlightened probe for the structure and help to establish the understanding of light quark coupling with a heavy degree of free…
Detection of Genuine Multipartite Entanglement in Arbitrary Multipartite systems
Yu Lu, Shao-Ming Fei
We study the genuine multipartite entanglement of arbitrary -partite quantum states by representing the density matrices in terms of the generalized Pauli operators. We introduc…
Development of a GPU-accelerated Monte Carlo dose calculation module for nuclear medicine, ARCHER-NM: Demonstration for a PET/CT imaging procedure
Zhao Peng, Yu Lu, Yao Xu +8
This paper describes the development and validation of a Monte Carlo (MC) dose computing module dedicated to organ dose calculations of patients undergoing nuclear medicine (NM) in…
DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Shuaijie She, Yu Bao, Yu Lu +7
We present DuPO, a dual learning-based preference optimization framework that generates annotation-free feedback via a generalized duality. DuPO addresses two key limitations: Rein…
Enhanced separability criteria based on symmetric measurements
Yu Lu, Hao-Fan Wang, Meng Su +2
We present separability criteria based on local symmetric measurements. These experimental plausible criteria are shown to be more efficient in detecting entanglement than the curr…
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Ziliang Gan, Yu Lu, Dong Zhang +9
In recent years, multimodal benchmarks for general domains have guided the rapid development of multimodal models on general tasks. However, the financial field has its peculiariti…
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction
Canjia Li, Xiaoyang Wang, Dongdong Li +6
Search engine plays a crucial role in satisfying users' diverse information needs. Recently, Pretrained Language Models (PLMs) based text ranking models have achieved huge success…
Satellite Quenching and Galactic Conformity at 0.3 < z < 2.5
Lalitwadee Kawinwanichakij, Ryan F. Quadri, Casey Papovich +21
We measure the evolution of the quiescent fraction and quenching efficiency of satellites around star-forming and quiescent central galaxies with stellar mass $\log(M_{\mathrm{cen}…
Separability criteria based on realignment
Yu Lu, Zhong-Xi Shen, Shao-Ming Fei +1
The detection of entanglement in a bipartite state is a crucial issue in quantum information science. Based on realignment of density matrices and the vectorization of the reduced…
OPOD: On-Policy Omni Distillation
Tong Zhao, Yuyang Hu, Reed Li +5
Omni-modal models provide a unified interface for text, images, and audio. However, improving these abilities together remains difficult, as post-training on pooled multimodal data…
The importance of preventive feedback: inference from observations of the stellar masses and metallicities of Milky Way dwarf galaxies
Yu Lu, Andrew Benson, Andrew Wetzel +5
Dwarf galaxies are known to have remarkably low star formation efficiency due to strong feedback. Adopting the dwarf galaxies of the Milky Way as a laboratory, we explore a flexibl…
VCEMO: Multi-Modal Emotion Recognition for Chinese Voiceprints
Jinghua Tang, Liyun Zhang, Yu Lu +6
Emotion recognition can enhance humanized machine responses to user commands, while voiceprint-based perception systems can be easily integrated into commonly used devices like sma…
FreeLong++: Training-Free Long Video Generation via Multi-band SpectralFusion
Yu Lu, Yi Yang
Recent advances in video generation models have enabled high-quality short video generation from text prompts. However, extending these models to longer videos remains a significan…
Effect of Neutrinos on Angular Momentum of Dark Matter Halo
Yu Chen, Chang-Zhi Lu, Yu Lu +2
Massive neutrinos are expected to affect the large-scale structure formation, including the major component of solid substances, dark matter halos. How halos are influenced by neut…
PCA score regression: the art of losing power
Yu Lu, Nidhi Pai, Erjia Cui +1
The regression of principal component scores (RPCS) on covariates is a widely used analytic approach to detect and test for associations between functional measurements and study p…
Polar Outflows in Six Broad Absorption Line Quasars
Hongyan Zhou, Tinggui Wang, Huiyuan Wang +3
Using the radio observations by FIRST and NVSS, we build a sample of 151 radio variable quasars selected from the Sloan Digital Sky Survey Data Release 3 (SDSS DR3). Six (probably…
RevCore: Review-augmented Conversational Recommendation
Yu Lu, Junwei Bao, Yan Song +4
Existing conversational recommendation (CR) systems usually suffer from insufficient item information when conducted on short dialogue history and unfamiliar items. Incorporating e…
Towards Error-Free Long Video Generation
Shuning Chang, Weihua Chen, Jiasheng Tang +8
Recent advances in video generation have made minute-level synthesis possible; however, generating long videos remains challenging due to error accumulation, attribute drift, and t…
Neutrino-Induced Gamma-Ray Emission from Supernovae
Yu Lu, Yong-Zhong Qian
During a core-collapse supernova, absorption of anti-nu_e emitted from the proto-neutron star by protons in the hydrogen envelope produces neutrons and positrons. Neutron capture o…
Feedback from galactic stellar bulges and hot gaseous haloes of galaxies
Shikui Tang, Q. Daniel Wang, Yu Lu +1
We demonstrate that the feedback from stellar bulges can play an essential role in shaping the halo gas of galaxies with substantial bulge components by conducting 1-D hydrodynamic…
Role of in the decays and
Sara Rahmani, Wei Liang, Yu-Wen Peng +3
In present work, we study the reactions and , and find that the state plays a dominant role. At the…
Towards Interpretable Deep Learning Models for Knowledge Tracing
Yu Lu, Deliang Wang, Qinggang Meng +1
As an important technique for modeling the knowledge states of learners, the traditional knowledge tracing (KT) models have been widely used to support intelligent tutoring systems…
Constraining The Assembly Of Normal And Compact Passively Evolving Galaxies From Redshift z=3 To The Present With CANDELS
P. Cassata, M. Giavalisco, C. C. Williams +16
We study the evolution of the number density, as a function of the size, of passive early-type galaxies with a wide range of stellar masses 10^10<M*/Msun<10^11.5) from z~3 to z~1,…
ForestBench: A Unified Graph Framework for Evaluating Multi-Agent Collaboration
Guo Chen, Ziwen Li, Reed Li +4
Multi-agent systems (MAS) built on Large Language Models (LLMs) are proliferating rapidly, but their heterogeneous execution traces provide no common basis for evaluation across me…
Near-Field Channel Estimation in Mixed LoS/NLoS Environments for Extremely Large-Scale MIMO Systems
Yu Lu, Linglong Dai
Accurate channel model and channel estimation are essential to empower extremely large-scale MIMO (XL-MIMO) in 6G networks with ultra-high spectral efficiency. With the sharp incre…
Unveiling the secrets of the mid-infrared Moon
Yunzhao Wu, Qi Jin, Cui Li +15
The Moon's optical characteristics in visible and long-wavelength infrared (LWIR) have long been observed with our eyes or with instruments. What the mid-infrared (MIR) Moon looks…
Revisited: A Coupled Channel Perspective
Yu Lu, Muhammad Naeem Anwar, Bing-Song Zou
We calculate the probabilities of various charmed meson molecules for under the framework of model. The results indicate that even though heavy quark spin symme…
Cosmological Constraints from Galaxy Clustering and the Mass-to-Number Ratio of Galaxy Clusters: Marginalizing over the Physics of Galaxy Formation
Rachel Reddick, Jeremy Tinker, Risa Wechsler +1
Many approaches to obtaining cosmological constraints rely on the connection between galaxies and dark matter. However, the distribution of galaxies is dependent on their formation…
Unraveling the Molecular Structure of Lipid Nanoparticles through in-silico Self-Assembly for Rational Delivery Design
Xuan Bai, Yu Lu, Tianhao Yu +7
Lipid nanoparticles (LNPs) are a leading platform in the delivery of RNA-based therapeutics, playing a pivotal role in the clinical success of mRNA vaccines and other nucleic acid…
QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution
Zijie Chen, Zhanchao Zhou, Yu Lu +3
Solving NP-hard problems traditionally relies on heuristics, yet manually designing effective heuristics for complex problems remains a significant challenge. While recent advancem…
Structured Matrix Estimation and Completion
Olga Klopp, Yu Lu, Alexandre B. Tsybakov +1
We study the problem of matrix estimation and matrix completion under a general framework. This framework includes several important models as special cases such as the gaussian mi…
The Nature of Massive Transition Galaxies in CANDELS, GAMA, and Cosmological Simulations
Viraj Pandya, Ryan Brennan, Rachel S. Somerville +25
We explore observational and theoretical constraints on how galaxies might transition between the "star-forming main sequence" (SFMS) and varying "degrees of quiescence" out to $z=…
Phase-resolved spectral analysis of 4U 1901+03 during its outburst
Ya-Juan Lei, Wei Chen, Jin-Lu Qu +5
The high mass X-ray binary 4U 1901+03 was reported to have the pulse profile evolving with the X-ray luminosity and energy during its outburst in February-July 2003: the pulse peak…
A Characteristic Mass Scale in the Mass-Metallicity Relation of Galaxies
Guillermo A. Blanc, Yu Lu, Andrew Benson +2
We study the shape of the gas-phase mass-metallicity relation (MZR) of a combined sample of present-day dwarf and high-mass star-forming galaxies using IZI, a Bayesian formalism fo…
Energy-Efficient RIS-Aided Cell-Free Massive MIMO Systems: Application, Opportunities, and Challenges
Yu Lu, Jiayi Zhang, Enyu Shi +4
Reconfigurable intelligent surfaces (RIS)-assisted cell-free massive multiple-input multiple-output (CF mMIMO) systems have emerged as a promising technology for sixth-generation c…
Personalizing or Not: Dynamically Personalized Federated Learning with Incentives
Zichen Ma, Yu Lu, Wenye Li +1
Personalized federated learning (FL) facilitates collaborations between multiple clients to learn personalized models without sharing private data. The mechanism mitigates the stat…
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters
Shanbo Cheng, Yu Bao, Qian Cao +23
Multilingual translation stands as a challenging task for large language models (LLMs) to handle intricate language patterns and stilted translations that arise in automated transl…
Estimating stellar atmospheric parameters based on LASSO and support-vector regression
Yu Lu, Xiangru Li
A scheme for estimating atmospheric parameters T, log, and [Fe/H] is proposed on the basis of Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Haar…
C-DLinkNet: considering multi-level semantic features for human parsing
Yu Lu, Muyan Feng, Ming Wu +1
Human parsing is an essential branch of semantic segmentation, which is a fine-grained semantic segmentation task to identify the constituent parts of human. The challenge of human…
Performance Analysis of RIS-aided MISO Systems with EMI and Channel Aging
Taoyu Song, Enyu Shi, Yu Lu +3
In this paper, we investigate a reconfigurable intelligent surface (RIS)-aided multiple-input single-output (MISO) system in the presence of electromagnetic interference (EMI) and…
SDSS/SEGUE Spectral Feature Analysis For Stellar Atmospheric Parameter Estimation
Xiangru Li, Q. M. Jonathan Wu, Ali Luo +5
Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra…
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
Jonghyuk Baek, Yanran Wang, Xiaolong He +3
In deep geological repositories for high level nuclear waste with close canister spacings, bentonite buffers can experience temperatures higher than 100 °C. In this range of extre…
Reconfigurable Intelligent Surface Based Hybrid Precoding for THz Communications
Yu Lu, Mo Hao, Richard MAcKenzie
Benefiting from the growth of the bandwidth, Terahertz (THz) communication can support the new application with explosive requirements of the ultra-high-speed rates for future 6G w…
Star Formation and Stellar Mass Assembly in Dark Matter Halos: From Giants to Dwarfs
Zhankui Lu, H. J. Mo, Yu Lu +4
The empirical model of Lu et al. 2014 is updated with recent data and used to study galaxy star formation and assembly histories. At , the predicted galaxy stellar mass func…
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs
Zhiwei Cao, Qian Cao, Yu Lu +4
The growing popularity of Large Language Models has sparked interest in context compression for Large Language Models (LLMs). However, the performance of previous methods degrades…
WATCH: World-aware Allied Trajectory and pose reconstruction for Camera and Human
Qijun Ying, Zhongyuan Hu, Rui Zhang +3
Global human motion reconstruction from in-the-wild monocular videos is increasingly demanded across VR, graphics, and robotics applications, yet requires accurate mapping of human…
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding
Yunzhu Zhang, Yu Lu, Tianyi Wang +3
Long-form video understanding poses a significant challenge for video large language models (VideoLLMs) due to prohibitively high computational and memory demands. In this paper, w…
Comparison of PM-HIP to Forged SA508 Pressure Vessel Steel Under High-Dose Neutron Irradiation
Wen Jiang, Yangyang Zhao, Yu Lu +5
Powder metallurgy with hot isostatic pressing (PM-HIP) is an advanced manufacturing process that is envisioned to replace forging for heavy nuclear components, including the reacto…
Towards Heterogeneous Clients with Elastic Federated Learning
Zichen Ma, Yu Lu, Zihan Lu +3
Federated learning involves training machine learning models over devices or data silos, such as edge processors or data warehouses, while keeping the data local. Training in heter…
SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation
Xu Zhang, Yu Lu, Ruijie Quan +3
Flow Matching has enabled robust text-to-video generation via latent ODE sampling. However, velocity approximation and numerical discretization errors inevitably accumulate, causin…
Object Instance Mining for Weakly Supervised Object Detection
Chenhao Lin, Siwen Wang, Dongqi Xu +2
Weakly supervised object detection (WSOD) using only image-level annotations has attracted growing attention over the past few years. Existing approaches using multiple instance le…
An Empirical Model for the Star Formation History in Dark Matter Halos
Zhankui Lu, Houjun Mo, Yu Lu +4
We develop an empirical approach to infer the star formation rate in dark matter halos from the galaxy stellar mass function (SMF) at different redshifts and the local cluster gala…
A Bayesian approach to the semi-analytic model of galaxy formation: methodology
Yu Lu, H. J. Mo, Martin D. Weinberg +1
We believe that a wide range of physical processes conspire to shape the observed galaxy population but we remain unsure of their detailed interactions. The semi-analytic model (SA…
All-voltage control of Giant Magnetoresistance
Lujun Wei, Yiyang Zhang, Fei Huang +8
The aim of voltage control of magnetism is to reduce the power consumption of spintronic devices. For a spin valve, the magnetization directions of two ferromagnetic layers determi…
Properties of Submillimeter Galaxies in the CANDELS GOODS-S Field
Tommy Wiklind, Christopher J. Conselice, Tomas Dahlen +29
We derive physical properties of 10 submillimeter galaxies located in the CANDELS coverage of the GOODS-S field. The galaxies were first identified as submillimeter sources with th…
On the critical exponent of the 3D quasilinear wave equation with short pulse initial data. II, shock formation
Yu Lu, Huicheng Yin
In the previous paper [Ding Bingbing, Lu Yu, Yin Huicheng, On the critical exponent of the 3D quasilinear wave equation w…
GPT-based Textile Pilling Classification Using 3D Point Cloud Data
Yu Lu, YuYu Chen, Gang Zhou +1
Textile pilling assessment is critical for textile quality control. We collect thousands of 3D point cloud images in the actual test environment of textiles and organize and label…
Negative Binomial Matrix Completion
Yu Lu, Kevin Bui, Roummel F. Marcia
Matrix completion focuses on recovering missing or incomplete information in matrices. This problem arises in various applications, including image processing and network analysis.…
CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation
YuXin Song, Yu Lu, Haoyuan Sun +6
Unified conditional image generation remains difficult because different tasks depend on fundamentally different internal representations. Some require conceptual understanding for…
Push the Limit of Multi-modal Emotion Recognition by Prompting LLMs with Receptive-Field-Aware Attention Weighting
Han Zhang, Yu Lu, Liyun Zhang +5
Understanding the emotions in a dialogue usually requires external knowledge to accurately understand the contents. As the LLMs become more and more powerful, we do not want to set…