Publications (123)
Operator Fusion for LLM Inference on the Tensix Architecture
Qingbo Wu, Ke Li, Wenzhu Wang +3
This study addresses on-device inference bottlenecks of Transformer models on Tenstorrent's Tensix architecture and proposes an operator fusion strategy that enhances data locality…
CROP: Expert-Aligned Image Cropping via Compositional Reasoning and Optimizing Preference
Zhitong Dong, Chao Li, Jie Yu +1
Aesthetic image cropping aims to enhance the aesthetic quality of an image by improving its composition through spatial cropping. Previous methods often rely on saliency prediction…
Cognitive Chunking for Soft Prompts: Accelerating Compressor Learning via Block-wise Causal Masking
Guojie Liu, Yiqi Wang, Yanfeng Yang +4
Providing extensive context via prompting is vital for leveraging the capabilities of Large Language Models (LLMs). However, lengthy contexts significantly increase inference laten…
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
Bin Ji, Shasha Li, Jie Yu +2
For Named Entity Recognition (NER), sequence labeling-based and span-based paradigms are quite different. Previous research has demonstrated that the two paradigms have clear compl…
High-fidelity stellar extinction with Gaia and APOGEE -- I. The method and a new extinction curve
Jie Yu, Luca Casagrande, John A. Taylor +9
The scarcity of high-fidelity extinction measurements remains a bottleneck in deriving accurate stellar properties from Gaia parallaxes. In this work, we aim to derive precision ex…
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer
Jiashu Pan, Yuan-Sen Ting, Jie Yu
We introduce Astroconformer, a Transformer-based model to analyze stellar light curves from the Kepler mission. We demonstrate that Astrconformer can robustly infer the stellar sur…
New Evidence of Binarity in Young α-Rich Turn-off and Subgiant Stars: Fast Rotation and Strong Magnetic Activity
Jie Yu, Luca Casagrande, Ioana CiucÄ +3
Young α-rich (YAR) stars within the old Galactic thick disk exhibit a dual characteristic of relative youth determined with asteroseismology and abundance enhancement in α elemen…
Deep Learning Classification in Asteroseismology Using an Improved Neural Network: Results on 15000 Kepler Red Giants and Applications to K2 and TESS Data
Marc Hon, Dennis Stello, Jie Yu
Deep learning in the form of 1D convolutional neural networks have previously been shown to be capable of efficiently classifying the evolutionary state of oscillating red giants i…
Identifying Knowledge Editing Types in Large Language Models
Xiaopeng Li, Shasha Li, Shangwen Wang +5
Knowledge editing has emerged as an efficient technique for updating the knowledge of large language models (LLMs), attracting increasing attention in recent years. However, there…
Unified Adversarial Patch for Cross-modal Attacks in the Physical World
Xingxing Wei, Yao Huang, Yitong Sun +1
Recently, physical adversarial attacks have been presented to evade DNNs-based object detectors. To ensure the security, many scenarios are simultaneously deployed with visible sen…
Asteroseismology of 16000 Kepler Red Giants: Global Oscillation Parameters, Masses, and Radii
Jie Yu, Daniel Huber, Timothy R. Bedding +4
The Kepler mission has provided exquisite data to perform an ensemble asteroseismic analysis on evolved stars. In this work we systematically characterize solar-like oscillations a…
A simple method to measure numax for asteroseismology: application to 16,000 oscillating Kepler red giants
K. R. Sreenivas, Timothy R. Bedding, Yaguang Li +4
The importance of numax (the frequency of maximum oscillation power) for asteroseismology has been demonstrated widely in the previous decade, especially for red giants. With the l…
Evidence for compact binary systems around Kepler red giants
Isabel L. Colman, Daniel Huber, Timothy R. Bedding +9
We present an analysis of 168 oscillating red giants from NASA's mission that exhibit anomalous peaks in their Fourier amplitude spectra. These peaks result from ellipsoid…
Ages of Main-Sequence Turn-Off Stars from the GALAH Survey
Xunzhou Chen, Zhishuai Ge, Yuqin Chen +6
Main sequence turn-off (MSTO) stars are good tracers of Galactic populations since their ages can be reliably estimated from atmospheric parameters. Based on the GALAH survey, we u…
EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing
Xiaopeng Li, Shasha Li, Xi Wang +7
Large Language Models (LLMs) power numerous AI applications, yet updating their knowledge remains costly. Model editing provides a lightweight alternative through targeted paramete…
The highest mass Kepler red giants -- II. Spectroscopic parameters, the amplitude-activity relation, and unexpected halo orbits
Courtney L. Crawford, Yaguang Li, Daniel Huber +11
The high-mass (M2 \Msolar{}) Kepler red giant stars are less well-studied than their lower-mass counterparts. In the previous article, we presented a sample of 48 high-mass Kepl…
GaiaUnlimited: The old stellar disc of the Milky Way as traced by the Red Clump
Shourya Khanna, Jie Yu, Ronald Drimmel +9
We present an exploration of the Milky Way's structural parameters using an all-sky sample of RC giants to map the stellar density from the Galactic disc beyond 3 kpc. These evolve…
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
Binrui Zeng, Bin Ji, Xiaodong Liu +7
As Large Language Models (LLMs) demonstrate exceptional performance across various domains, deploying LLMs on edge devices has emerged as a new trend. Quantization techniques, whic…
Exploring the sources of p-mode frequency shifts in the CoRoT target HD 49933
Zhie Liu, Shaolan Bi, Wuming Yang +5
The oscillations of the solar-like star HD 49933 have been observed thoroughly by CoRot. Two dozens of frequency shifts, which are closely related with the change in magnetic activ…
Very regular high-frequency pulsation modes in young intermediate-mass stars
Timothy R. Bedding, Simon J. Murphy, Daniel R. Hey +33
Asteroseismology is a powerful tool for probing the internal structures of stars by using their natural pulsation frequencies. It relies on identifying sequences of pulsation modes…
The K2 Bright Star Survey I: Methodology and Data Release
Benjamin J. S. Pope, Timothy R. White, Will M. Farr +9
While the Kepler Mission was designed to look at tens of thousands of faint stars (V > 12), brighter stars that saturated the detector are important because they can be and have be…
Planets Around Solar Twins/Analogs (PASTA) I.: High precision stellar chemical abundance for 17 planet-hosting stars and the condensation temperature trend
Qinghui Sun, Sharon Xuesong Wang, Tianjun Gan +30
The Sun is depleted in refractory elements compared to nearby solar twins, which may be linked to the formation of giant or terrestrial planets. Here we present high-resolution, hi…
Asteroseismology of luminous red giants with Kepler I: Long Period Variables with radial and non-radial modes
Jie Yu, Timothy R. Bedding, Dennis Stello +4
While long period variables (LPVs) have been extensively investigated, especially with MACHO and OGLE data for the Magellanic Clouds, there still exist open questions in their puls…
Nonvolatile single-ion memory with picosecond switching
Hengxiao Cheng, Xudong Zhu, Zijia Su +10
The rapid development of artificial intelligence (AI), Internet of Things (IoT), and edge computing applications has posed severe challenges to conventional memory technologies in…
Topic-Grained Text Representation-based Model for Document Retrieval
Mengxue Du, Shasha Li, Jie Yu +5
Document retrieval enables users to find their required documents accurately and quickly. To satisfy the requirement of retrieval efficiency, prevalent deep neural methods adopt a…
KAOS: Large Model Multi-Agent Operating System
Zhao Zhuo, Rongzhen Li, Kai Liu +5
The intelligent interaction model based on large models reduces the differences in user experience across various system platforms but faces challenges in multi-agent collaboration…
Shielded but Lightweight: Building Practical Confidential Containers with ARM CCA
Liantao Song, Yiming Zhang, Fengwei Zhang +4
The rapid advancement of cloud-native technologies has created an urgent need for security. Currently, confidential containers are increasingly deployed in multi-tenant environment…
AkiraRust: Re-thinking LLM-aided Rust Repair Using a Feedback-guided Thinking Switch
Renshuang Jiang, Yichong Wang, Pan Dong +6
Eliminating undefined behaviors (UBs) in Rust programs requires a deep semantic understanding to enable accurate and reliable repair. While existing studies have demonstrated the p…
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
Shezheng Song, Shasha Li, Shan Zhao +8
Multimodal aspect-based sentiment analysis (MABSA) aims to understand opinions in a granular manner, advancing human-computer interaction and other fields. Traditionally, MABSA met…
TESS Asteroseismic Analysis of HD 76920: The Giant Star Hosting An Extremely Eccentric Exoplanet
Chen Jiang, Tao Wu, Adina D. Feinstein +30
The Transiting Exoplanet Survey Satellite (TESS) mission searches for new exoplanets. The observing strategy of TESS results in high-precision photometry of millions of stars acros…
Solar-type Stars Observed by LAMOST and Kepler
Jinghua Zhang, Alexander I. Shapiro, Shaolan Bi +8
Obtaining measurements of chromospheric and photometric activity of stars with near-solar fundamental parameters and rotation periods is important for a better understanding of sol…
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
Bin Ji, Shasha Li, Jie Yu +2
Span-based joint extraction simultaneously conducts named entity recognition (NER) and relation extraction (RE) in text span form. Recent studies have shown that token labels can c…
Asteroseismology of Long-Period Variables with OGLE-IV data: Using Global Seismic Parameters as Luminosity Indicators
Qiang Xiong, Tanda Li, Jie Yu +19
Long-period variables (LPVs) are high-luminosity red giants or supergiants with pulsation periods ranging from days to years. Many LPVs in the Large Magellanic Cloud (LMC) and Gala…
C3PO IV: co-natal stars depleted in refractories are magnetically more active -- possible imprints of planets
Jie Yu, Yuan-Sen Ting, Luca Casagrande +14
Chemical abundance anomalies in twin stars have recently been considered tell-tale signs of interactions between stars and planets. While such signals are prevalent, their nature r…
Asteroseismology of 1523 misclassified red giants using data
Jie Yu, Daniel Huber, Timothy R. Bedding +5
We analysed solar-like oscillations in 1523 red giants which have previously been misclassified as subgiants, with predicted values (based on the K…
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
Yaxin Hou, Jun Ma, Hanyang Li +3
Semi-supervised learning faces significant challenges in realistic scenarios where labeled data is scarce and unlabeled data follows unknown, arbitrary distributions. We formalize…
The Kepler Smear Campaign: Light curves for 102 Very Bright Stars
Benjamin J. S. Pope, Guy R. Davies, Keith Hawkins +19
We present the first data release of the Kepler Smear Campaign, using collateral 'smear' data obtained in the Kepler four-year mission to reconstruct light curves of 102 stars too…
Pretraining a Foundation Model for Small-Molecule Natural Products
Yuheng Ding, Bo Qiang, Shaoning Li +8
Natural products, as metabolites from microorganisms, animals, or plants, exhibit diverse biological activities, making them crucial for drug discovery. Nowadays, existing deep lea…
Behavior Prior Representation learning for Offline Reinforcement Learning
Hongyu Zang, Xin Li, Jie Yu +4
Offline reinforcement learning (RL) struggles in environments with rich and noisy inputs, where the agent only has access to a fixed dataset without environment interactions. Past…
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction
Jing Yang, Bin Ji, Shasha Li +3
Recently, many studies incorporate external knowledge into character-level feature based models to improve the performance of Chinese relation extraction. However, these methods te…
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
Shezheng Song, Xiaopeng Li, Shasha Li +5
We explore Multimodal Large Language Models (MLLMs), which integrate LLMs like GPT-4 to handle multimodal data, including text, images, audio, and more. MLLMs demonstrate capabilit…
JPU: Bridging Jailbreak Defense and Unlearning via On-Policy Path Rectification
Xi Wang, Songlei Jian, Shasha Li +5
Despite extensive safety alignment, Large Language Models (LLMs) often fail against jailbreak attacks. While machine unlearning has emerged as a promising defense by erasing specif…
How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
Shezheng Song, Hao Xu, Jun Ma +5
Large Language Models (LLMs) exhibit strong general language capabilities. However, fine-tuning these models on domain-specific tasks often leads to catastrophic forgetting, where…
Asteroseismology of luminous red giants with Kepler. II. Dependence of mass loss on pulsations and radiation
Jie Yu, Saskia Hekker, Timothy R. Bedding +5
Mass loss by red giants is an important process to understand the final stages of stellar evolution and the chemical enrichment of the interstellar medium. Mass-loss rates are thou…
Graphene-on-Diamond Devices with Enhanced Current-Carrying Capacity: Carbon sp2-on-sp3 Technology
Jie Yu, Guanxiong Liu, Anirudha V. Sumant +2
Graphene demonstrated potential for practical applications owing to its excellent electronic and thermal properties. Typical graphene field-effect transistors and interconnects bui…
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
Xiaopeng Li, Shasha Li, Shezheng Song +8
The general capabilities of large language models (LLMs) make them the infrastructure for various AI applications, but updating their inner knowledge requires significant resources…
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Bin Ji, Shasha Li, Shaoduo Gan +3
Few-shot named entity recognition (NER) enables us to build a NER system for a new domain using very few labeled examples. However, existing prototypical networks for this task suf…
A Two-Phase Paradigm for Joint Entity-Relation Extraction
Bin Ji, Hao Xu, Jie Yu +4
An exhaustive study has been conducted to investigate span-based models for the joint entity and relation extraction task. However, these models sample a large number of negative e…
DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model
Shezheng Song, Shasha Li, Jie Yu +6
Our study delves into Multimodal Entity Linking, aligning the mention in multimodal information with entities in knowledge base. Existing methods are still facing challenges like a…
ET White Paper: To Find the First Earth 2.0
Jian Ge, Hui Zhang, Weicheng Zang +163
We propose to develop a wide-field and ultra-high-precision photometric survey mission, temporarily named "Earth 2.0 (ET)". This mission is designed to measure, for the first time,…
Precise Asteroseismic Ages for the Helmi Streams
Christopher J. Lindsay, Marc Hon, J. M. Joel Ong +6
The Helmi streams are remnants of a dwarf galaxy that was accreted by the Milky Way and whose stars now form a distinct kinematic and chemical substructure in the Galactic halo. Pr…
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
Xingxing Wei, Ying Guo, Jie Yu +1
Adversarial patch is an important form of real-world adversarial attack that brings serious risks to the robustness of deep neural networks. Previous methods generate adversarial p…
SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
Dongfang Li, Xiaodong Luo, Ruoyu Sun +64
Full-parameter post-training of trillion-parameter-scale MoE models introduces substantial system-level challenges for large-scale distributed training, including severe memory pre…
Enhanced magnetic activity in rapidly rotating binary stars
Jie Yu, Charlotte Gehan, Saskia Hekker +12
Stellar activity is fundamental to stellar evolution and the formation and habitability of exoplanets. The interaction between convective motions and rotation in cool stars results…
Observation of abnormal resistance-temperature behavior along with diamagnetic transition in PbCu(PO)O-based composite
Hao Wu, Li Yang, Jie Yu +3
Recently, Sukbae Lee et al.reported that material PbCu(PO)O (LK-99) has a series of characteristics of room temperature superconductors, including diamagnetic…
Theoretical stability in coefficient inverse problems for general hyperbolic equations with numerical reconstruction
Jie Yu, Yikan Liu, Masahiro Yamamoto
In this article, we investigate the determination of the spatial component in the time-dependent second order coefficient of a hyperbolic equation from both theoretical and numeric…
Multi-Modal Three-Stream Network for Action Recognition
Muhammad Usman Khalid, Jie Yu
Human action recognition in video is an active yet challenging research topic due to high variation and complexity of data. In this paper, a novel video based action recognition fr…
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
Zibo Yi, Shasha Li, Jie Yu +1
Drug-drug interaction (DDI) is a vital information when physicians and pharmacists intend to co-administer two or more drugs. Thus, several DDI databases are constructed to avoid m…
3D Wireless: Modeling Wireless Performance by Combining Spatial and Temporal Behaviors
Zhiwei Zhao, Wei Dong, Jie Yu +2
Performance characterization is a fundamental issue in wireless networks for real time routing, wireless network simulation, and etc. There are four basic wireless operations that…
On measuring team stability in cooperative learning: An example of consecutive course projects on software engineering
Yanqing Wang, Hong Ge, Xiaojing Feng +1
Cooperative learning theory has shown that stable membership is a hallmark of effective work teams. According to relation strength and social network centrality, this paper propose…
Two-dimensional MX family of Dirac materials with tunable electronic and topological properties
Yan-Fang Zhang, Jinbo Pan, Huta Banjade +6
We propose a novel class of two-dimensional (2D) Dirac materials in the MX family (M=Be, Mg, Zn and Cd, X = Cl, Br and I), which exhibit graphene-like band structures with linearly…
Outlier Smoothing with Closed-Form Rotations for W4A4 Large Language Model Quantization
Jinying Xiao, Bin Ji, Shasha Li +8
Large Language Models (LLMs) quantization facilitates deploying LLMs in resource-limited settings, but existing methods that combine incompatible gradient optimization and quantiza…
Mass and Age of Red Giant Branch Stars Observed with LAMOST and \emph{Kepler}
Yaqian Wu, Maosheng Xiang, Shaolan Bi +13
Obtaining accurate and precise masses and ages for large numbers of giant stars is of great importance for unraveling the assemblage history of the Galaxy. In this paper, we estima…
Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection
Xin Peng, Bo Lin, Jing Wang +5
Automated vulnerability detection is crucial for enhancing software security by identifying potential flaws that attackers could exploit, thereby reducing the reliance on labor-int…
Generalized Landau-Lifshitz Equation into
Chong Song, Jie Yu
In this paper, a type of integrable evolution equation--the generalized Landau-Lifshitz equation into is considered. We deal with this equation from a geometric point of view…
Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience
Xi Wang, Songlei Jian, Shasha Li +9
Large language models (LLMs) generate human-aligned content under certain safety constraints. However, the current known technique ``jailbreak prompt'' can circumvent safety-aligne…
Attention-based Natural Language Person Retrieval
Tao Zhou, Muhao Chen, Jie Yu +1
Following the recent progress in image classification and captioning using deep learning, we develop a novel natural language person retrieval system based on an attention mechanis…
Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
Jia-Shu Pan, Yuan-Sen Ting, Jie Yu
Stellar light curves contain valuable information about oscillations and granulation, offering insights into stars' internal structures and evolutionary states. Traditional asteros…
More Than Can Be Said: A Benchmark and Framework for Pre-Question Scientific Ideation
Jie Yu, Song Qiu
AI research agents have shown strong potential in automating literature search and manuscript refinement, yet most assume a clear and actionable initial input, operating only after…
Encoder-Decoder-Based Intra-Frame Block Partitioning Decision
Yucheng Jiang, Han Peng, Yan Song +3
The recursive intra-frame block partitioning decision process, a crucial component of the next-generation video coding standards, exerts significant influence over the encoding tim…
Three low-mass companions around aged stars discovered by TESS
Zitao Lin, Tianjun Gan, Sharon X. Wang +42
We report the discovery of three transiting low-mass companions to aged stars: a brown dwarf (TOI-2336b) and two objects near the hydrogen burning mass limit (TOI-1608b and TOI-252…
Magnetic Activity of F-, G-, and K-type Stars in the LAMOST-Kepler Field
Jinghua Zhang, Shaolan Bi, Yaguang Li +10
Monitoring chromospheric and photospheric indexes of magnetic activity can provide valuable information, especially the interaction between different parts of the atmosphere and th…
Predicting radial-velocity jitter induced by stellar oscillations based on Kepler data
Jie Yu, Daniel Huber, Timothy R. Bedding +1
Radial-velocity (RV) jitter due to intrinsic stellar variability introduces challenges when characterizing exoplanet systems, particularly when studying small (sub-Neptune-sized) p…
Deep Learning Classification in Asteroseismology
Marc Hon, Dennis Stello, Jie Yu
In the power spectra of oscillating red giants, there are visually distinct features defining stars ascending the red giant branch from those that have commenced helium core burnin…
Adversarial Sticker: A Stealthy Attack Method in the Physical World
Xingxing Wei, Ying Guo, Jie Yu
To assess the vulnerability of deep learning in the physical world, recent works introduce adversarial patches and apply them on different tasks. In this paper, we propose another…
Genetics-based deperturbation analysis for the spin-orbit coupled and states of LiRb
Yide Yin, Xuhui Bai, Xuechun Li +4
We present a deperturbation analysis of the spin-orbit coupled and states of LiRb based on the rovibrational energy levels observed previously by ph…
Wall stabilization of the rigid ballooning mode in a long-thin mirror trap
Igor Kotelnikov, Vadim Prikhodko, Dmitri Yakovlev +4
The prospect of stabilization of the ``rigid'' ballooning mode in an open axially symmetric long-thin trap with the help of a conducting lateral wall surrounding a column of…
Rethinking Residual Distribution in Locate-then-Edit Model Editing
Xiaopeng Li, Shanwen Wang, Shasha Li +4
Model editing enables targeted updates to the knowledge of large language models (LLMs) with minimal retraining. Among existing approaches, locate-then-edit methods constitute a pr…
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
Keyue Qiu, Yuxuan Song, Jie Yu +7
Structure-Based molecule optimization (SBMO) aims to optimize molecules with both continuous coordinates and discrete types against protein targets. A promising direction is to exe…
SkillSight: Calibrating Generic Content Bias for Skill Retrieval
Jinying Xiao, Bin Li, Bin Ji +9
As large language model agents gain access to increasingly large skill libraries, retrieving the right skill becomes critical to reliable capability selection and execution. Existi…
Detection of Solar-like Oscillations in Sub-giant and Red Giant Stars Using 2-minute Cadence TESS Data
Jianzhao Zhou, Shaolan Bi, Jie Yu +7
Based on all 2-minute cadence light curves from Sector 1 to 60, we provide a catalog of 8,651 solar-like oscillators, including frequency at maximum power (, w…
GuLu XuanYuan , a biomimetic Transformer that intergrates humanoid MIP, reptile UGV, and bird UAV
Le Chen, Jie Yu, XingWu Chen
This article proposes a multi habitat bio-mimetic robot, named as GuLu XuanYuan.It combines all common types of mobile robots, namely humanoid MIP, unmanned ground vehicle, and unm…
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Deyun Zhang, Shijia Geng, Yang Zhou +28
The artificial intelligence (AI) system has achieved expert-level performance in electrocardiogram (ECG) signal analysis. However, in underdeveloped countries or regions where the…
Span-based joint entity and relation extraction augmented with sequence tagging mechanism
Bin Ji, Shasha Li, Hao Xu +4
Span-based joint extraction simultaneously conducts named entity recognition (NER) and relation extraction (RE) in text span form. However, since previous span-based models rely on…
Where Does Vision Meet Language? Understanding and Refining Visual Fusion in MLLMs via Contrastive Attention
Shezheng Song, Shasha Li, Jie Yu
Multimodal Large Language Models (MLLMs) have achieved remarkable progress in vision-language understanding, yet how they internally integrate visual and textual information remain…
Automatic nodule identification and differentiation in ultrasound videos to facilitate per-nodule examination
Siyuan Jiang, Yan Ding, Yuling Wang +9
Ultrasound is a vital diagnostic technique in health screening, with the advantages of non-invasive, cost-effective, and radiation free, and therefore is widely applied in the diag…
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling
Zhuoling Li, Gaowei Zhang, Lingyu Xu +1
Multivariate time series forecasting is a challenging task because the data involves a mixture of long- and short-term patterns, with dynamic spatio-temporal dependencies among var…
PMET: Precise Model Editing in a Transformer
Xiaopeng Li, Shasha Li, Shezheng Song +3
Model editing techniques modify a minor proportion of knowledge in Large Language Models (LLMs) at a relatively low cost, which have demonstrated notable success. Existing methods…
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder
Wuhang Lin, Shasha Li, Chen Zhang +4
Text summarization models are often trained to produce summaries that meet human quality requirements. However, the existing evaluation metrics for summary text are only rough prox…
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World
Xingxing Wei, Yao Huang, Yitong Sun +1
Physical adversarial attacks have put a severe threat to DNN-based object detectors. To enhance security, a combination of visible and infrared sensors is deployed in various scena…
Modeling Stellar Oscillations and Granulation in Radial Velocity Time Series: A Fourier-based Method
Zhao Guo, Eric B. Ford, Dennis Stello +4
Tens of thousands of solar-like oscillating stars have been observed by space missions. Their photometric variability in the Fourier domain can be parameterized by a sum of two sup…
Survey of extended Main Sequence Turn-offs in Galactic Open Clusters: Stellar rotations from Gaia RVS spectra
Giacomo Cordoni, Luca Casagrande, Jie Yu +6
The origin of extended main-sequence turn-offs (eMSTO) in star clusters younger than 2 Gyr still challenges our current understanding of stellar evolution. Exploiting data from Gai…
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking
Shezheng Song, Shasha Li, Shan Zhao +7
Multimodal entity linking (MEL) aims to utilize multimodal information (usually textual and visual information) to link ambiguous mentions to unambiguous entities in knowledge base…
Tunable high-temperature tunneling magnetoresistance in all-van der Waals antiferromagnet/semiconductor/ferromagnet junctions
Wen Jin, Xinlu Li, Gaojie Zhang +8
Magnetic tunnel junctions (MTJs) have been widely applied in spintronic devices for efficient spin detection through the imbalance of spin polarization at the Fermi level. The van…
Surface magnetism of rapidly rotating red giants: single versus close binary stars
Charlotte Gehan, Patrick Gaulme, Jie Yu
According to dynamo theory, stars with convective envelopes efficiently generate surface magnetic fields, which manifest as magnetic activity in the form of starspots, faculae, fla…
LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
Xiang An, Yin Xie, Kaicheng Yang +20
We present LLaVA-OneVision-1.5, a novel family of Large Multimodal Models (LMMs) that achieve state-of-the-art performance with significantly reduced computational and financial co…
Seeing Right but Saying Wrong: Inter- and Intra-Layer Refinement in MLLMs without Training
Shezheng Song, Shasha Li, Jie Yu
Multimodal Large Language Models (MLLMs) have demonstrated strong capabilities across a variety of vision-language tasks. However, their internal reasoning often exhibits a critica…
EMP: Enhance Memory in Data Pruning
Jinying Xiao, Ping Li, Jie Nie +6
Recently, large language and vision models have shown strong performance, but due to high pre-training and fine-tuning costs, research has shifted towards faster training via datas…
The Scaling Law in Stellar Light Curves
Jia-Shu Pan, Yuan-Sen Ting, Yang Huang +2
Analyzing time series of fluxes from stars, known as stellar light curves, can reveal valuable information about stellar properties. However, most current methods rely on extractin…
Approximating Nash Equilibrium for Production Control with Sticky Price
Chunmei Jiang, Tongqing Li, Jie Yu
We study a mean field game problem arising from the production control for multiple firms with price stickiness in the commodity market. The price dynamics for each firm is describ…