Publications (106)
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm
Ziqi Su, Wendong Mao, Zhongfeng Wang +3
Three-dimensional generative adversarial networks (3D-GAN) have attracted widespread attention in three-dimension (3D) visual tasks. 3D deconvolution (DeConv), as an important comp…
Parameter-free -Box Decoding of LDPC Codes
Qiong Wu, Fan Zhang, Hao Wang +2
The Alternating Direction Method of Multipliers (ADMM) decoding of Low Density Parity Check (LDPC) codes has received many attentions due to its excellent performance at the error…
Music Style Transfer With Diffusion Model
Hong Huang, Yuyi Wang, Luyao Li +1
Previous studies on music style transfer have mainly focused on one-to-one style conversion, which is relatively limited. When considering the conversion between multiple styles, p…
Patched Green's function techniques for two dimensional systems: Electronic behaviour of bubbles and perforations in graphene
Mikkel Settnes, Stephen R. Power, Jun Lin +2
We present a numerically efficient technique to evaluate the Green's function for extended two dimensional systems without relying on periodic boundary conditions. Different region…
Coronal Mass Ejections Deflected by Newly Emerging Flux: A Combined Analytic and Numerical Study
Yuhao Chen, Chengcai Shen, Zhixing Mei +8
Newly emerging flux (NEF) has been widely studied as a trigger of solar filament eruptions, but its influence on the subsequent dynamics remains poorly explored. Because NEF typica…
Two-dimensional modeling of the tearing-mode-governed magnetic reconnection in the large-scale current sheet above the two-ribbon flare
Yining Zhang, Jing Ye, Zhixing Mei +2
We attempt to model magnetic reconnection during the two-ribbon flare in the gravitationally stratified solar atmosphere with the Lundquist number of using 2D simulations.…
Identifying Talented Software Engineering Students through Data-driven Skill Assessment
Jun Lin, Han Yu, Zhiqi Shen
For software development companies, one of the most important objectives is to identify and acquire talented software engineers in order to maintain a skilled team that can produce…
LEIA discovery of the longest-lasting and most energetic stellar X-ray flare ever detected
Xuan Mao, He-Yang Liu, Song Wang +40
The Lobster Eye Imager for Astronomy (LEIA) detected a new X-ray transient on 2022 November 7, identified as a superflare event occurring on a nearby K-type giant star HD 251108. T…
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
Xiangnan Chen, Yuancheng Fang, Qian Xiao +5
Multimodal Large Language Models (MLLMs) have garnered significant attention for their strong visual-semantic understanding. Most existing chart benchmarks evaluate MLLMs' ability…
Aggregation Model and Market Mechanism for Virtual Power Plant Participation in Inertia and Primary Frequency Response
Changsen Feng, Zhongliang Huang, Jun Lin +3
The declining provision of inertia by synchronous generators in modern power systems necessitates aggregating distributed energy resources (DERs) into virtual power plants (VPPs) t…
An Efficient List Decoder Architecture for Polar Codes
Jun Lin, Zhiyuan Yan
Long polar codes can achieve the symmetric capacity of arbitrary binary-input discrete memoryless channels under a low complexity successive cancelation (SC) decoding algorithm. Ho…
Blob formation and ejection in coronal jets due to the plasmoid and Kelvin-Helmholtz instabilities
Lei Ni, Qing-Min Zhang, Nicholas A. Murphy +1
We perform two-dimensional resistive magnetohydrodynamic simulations of coronal jets driven by flux emergence along the lower boundary. The reconnection layers are susceptible the…
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes
Miaoxin Wang, Xiao Wu, Jun Lin +1
Convolutional neural networks (CNNs) with large kernels, drawing inspiration from the key operations of vision transformers (ViTs), have demonstrated impressive performance in vari…
Modelling the magnetic structure of a large-scale horse-shoe-like filament in a decaying and diffuse active region
Kaifeng Kang, Yang Guo, Ilia I. Roussev +2
A large-scale, horse-shoe-like filament was investigated and the magnetic field around it was reconstructed. This is an intermediate filament (IF) that appeared on the solar disk f…
A Magnetic Reconnection model for Hot Explosions in the Cool Atmosphere of the Sun
Lei Ni, Yajie Chen, Hardi Peter +2
UV bursts and Ellerman bombs are transient brightenings observed in the low solar atmospheres of emerging flux regions. Observations have discovered the cospatial and cotemporal EB…
Symbol-Decision Successive Cancellation List Decoder for Polar Codes
Chenrong Xiong, Jun Lin, Zhiyuan Yan
Polar codes are of great interests because they provably achieve the capacity of both discrete and continuous memoryless channels while having an explicit construction. Most existi…
Observations and Interpretation of a Low Coronal Shock Wave Observed in the EUV by the SDO/AIA
Suli Ma, John C. Raymond, Leon Golub +5
Taking advantage of both the high temporal and spatial resolution of the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory (SDO), we studied a limb coronal…
Numerical Experiments of Wave-Like Phenomena Caused by the Disruption of an Unstable Magnetic Configuration
Hongjuan Wang, Chengcai Shen, Jun Lin
The origin of the Moreton wave observed in the chromosphere and the EIT wave observed in the corona during the eruption remains being an active research subject for a while. We inv…
OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model
Chen Wang, Tianyu Peng, Wen Yang +8
Empathetic interaction is a cornerstone of human-machine communication, due to the need for understanding speech enriched with paralinguistic cues and generating emotional and expr…
Energy and mass transport associated with impulsive spicular flows in solar coronal holes
Lei Ni, Jun Lin, Tanmoy Samanta +3
How the solar atmosphere is heated from a temperature of about \,K in the lower atmosphere to about \,MK in the corona has challenged the astrophysical community…
FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge
Xuan Shen, Weize Ma, Yufa Zhou +11
Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike i…
Data-Driven Thermal Modelling for Anomaly Detection in Electric Vehicle Charging Stations
Pere Izquierdo Gómez, Alberto Barragan Moreno, Jun Lin +1
The rapid growth of the electric vehicle (EV) sector is giving rise to many infrastructural challenges. One such challenge is its requirement for the widespread development of EV c…
Three-dimensional simulation of thermodynamics on confined turbulence in a large-scale CME-flare current sheet
Jing Ye, John C. Raymond, Zhixing Mei +4
Turbulence plays a key role for forming the complex geometry of the large-scale current sheet (CS) and fast energy release in a solar eruption. In this paper, we present full 3D hi…
Human Factors in Agile Software Development
Jun Lin
Through our four years experiments on students' Scrum based agile software development (ASD) process, we have gained deep understanding into the human factors of agile methodology.…
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling
Yicheng Zou, Lujun Zhao, Yangyang Kang +7
In a customer service system, dialogue summarization can boost service efficiency by automatically creating summaries for long spoken dialogues in which customers and agents try to…
Design Light-weight 3D Convolutional Networks for Video Recognition Temporal Residual, Fully Separable Block, and Fast Algorithm
Haonan Wang, Jun Lin, Zhongfeng Wang
Deep 3-dimensional (3D) Convolutional Network (ConvNet) has shown promising performance on video recognition tasks because of its powerful spatio-temporal information fusion abilit…
Tongyi DeepResearch Technical Report
Tongyi DeepResearch Team, Baixuan Li, Bo Zhang +54
We present Tongyi DeepResearch, an agentic large language model, which is specifically designed for long-horizon, deep information-seeking research tasks. To incentivize autonomous…
LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks
Yifan Chen, Haitao Li, Yiran Hu +6
As large language models (LLMs) are increasingly applied to real-world legal tasks, evaluating the reliability of their open-ended legal responses has become essential. These tasks…
Evidence for Plasmoid-mediated Magnetic Reconnection during a Small-scale Flare in the Partially Ionized Low Solar Atmosphere
Guanchong Cheng, Lei Ni, Zehao Tang +4
Magnetic reconnection plays a crucial role in the energy release process for different kinds of solar eruptions and activities. The rapid solar eruption requires a fast reconnectio…
Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine's Day Purchases
Yongzhen Wang, Xiaozhong Liu, Yingnan Ju +4
The days that precede Valentine's Day are characterized by extensive gift shopping activities all across the globe. In China, where much shopping takes place online, there has been…
Components and anisotropy of 3D QFP waves during the early solar eruption
Jialiang Hu, Jing Ye, Yuhao Chen +3
The propagation of disturbances in the solar atmosphere is inherently three dimensional (3D), yet comprehensive studies on the spatial structure and dynamics of 3D wavefronts are s…
A nuclear clock based on Th
Beichen Huang, Gaowei Yan, Qi Xiao +35
Atomic clocks have made time and frequency the most precisely measured quantities in physics, progressing from microwave standards that realize the SI second to optical clocks that…
Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing
Qiong Li, Chao Fang, Longwei Huang +2
While posit format offers superior dynamic range and accuracy for transprecision computing, its adoption in RISC-V processors is hindered by the lack of a unified solution for ligh…
Can the Parker Solar Probe Detect a CME-flare Current Sheet?
Yuhao Chen, Zhong Liu, Pengfei Chen +8
A current sheet (CS) is the central structure in the disrupting magnetic configuration during solar eruptions. More than 90\% of the free magnetic energy (the difference between th…
An Empirical Analysis of Task Allocation in Scrum-based Agile Programming
Jun Lin, Han Yu, Zhiqi Shen
Agile Software Development (ASD) methodology has become widely used in the industry. Understanding the challenges facing software engineering students is important to designing eff…
When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
Yongjie Wang, Yue Yu, Kaisong Song +2
Large Language Models (LLMs) have enabled a wide range of applications through their powerful capabilities in language understanding and generation. However, as LLMs are trained on…
I3: Intent-Introspective Retrieval Conditioned on Instructions
Kaihang Pan, Juncheng Li, Wenjie Wang +7
Recent studies indicate that dense retrieval models struggle to perform well on a wide variety of retrieval tasks that lack dedicated training data, as different retrieval tasks of…
Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation
Yongjie Wang, Xinyue Zhang, Kunhong Yao +4
Public benchmarks enable fair and reproducible evaluation of LLM reasoning, but they become fragile for deep research agents that actively search the web during inference. Such age…
A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference
Chuanning Wang, Chao Fang, Xiao Wu +2
RISC-V processors encounter substantial challenges in deploying multi-precision deep neural networks (DNNs) due to their restricted precision support, constrained throughput, and s…
Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement
Chengyuan Liu, Shihang Wang, Lizhi Qing +7
Recently, stepwise supervision on Chain of Thoughts (CoTs) presents an enhancement on the logical reasoning tasks such as coding and math, with the help of Monte Carlo Tree Search…
A High Throughput List Decoder Architecture for Polar Codes
Jun Lin, Chenrong Xiong, Zhiyuan Yan
While long polar codes can achieve the capacity of arbitrary binary-input discrete memoryless channels when decoded by a low complexity successive cancelation (SC) algorithm, the e…
Numerical Studies of the Kelvin-Hemholtz Instability in the Coronal Jet
Tianle Zhao, Lei Ni, Jun Lin +1
The Kelvin-Hemholtz (K-H) instability in the corona EUV jet is studied via 2.5 MHD numerical simulations. The jet results from magnetic reconnection due to the interation of the ne…
A Magnetohydrodynamic Model for the Formation of Episodic Jets
Feng Yuan, Jun Lin, Kinwah Wu +1
Episodic ejection of plasma blobs have been observed in many black hole systems. While steady, continuous jets are believed to be associated with large-scale open magnetic fields,…
The First Scientific Flight and Observations of the 50-mm Balloon-Borne White-Light Coronagraph
Kaifeng Kang, Min Huang, Yang Liu +13
A 50-mm balloon-borne white-light coronagraph (BBWLC) to observe whitelight solar corona over the altitude range from 1.08 to 1.50 solar radii has recently been indigenously develo…
Three dimensional magnetic reconnection mediated with plasmoids and the resulted multi-thermal emissions in the cool atmosphere of the Sun
Guanchong Cheng, Lei Ni, Robert Cameron +3
Flux emergence is ubiquitous in the Sun's lower atmosphere, where the emerging magnetic flux can reconnect with the pre-existing magnetic field. We investigate plasmoid formation a…
Unraveling the Trigger Mechanism of Explosive Reconnection in Partially Ionized Solar Plasma
Abdullah Zafar, Lei Ni, Jun Lin +1
Plasmoid instability is usually accounted for the onset of fast reconnection events observed in astrophysical plasmas. However, the measured reconnection rate from observations can…
The effect of plasma- on the heating mechanisms during magnetic reconnection in partially ionized low solar atmosphere
Abdullah Zafar, Lei Ni, Kaifeng Kang +5
We performed numerical simulations of magnetic reconnection with different strength of magnetic fields from the solar photosphere to the upper chromosphere. The main emphasis is to…
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
Chengyuan Liu, Shihang Wang, Lizhi Qing +4
Domain Large Language Models (LLMs) are developed for domain-specific tasks based on general LLMs. But it still requires professional knowledge to facilitate the expertise for some…
The Chinese Hα Solar Explorer (CHASE) mission: An overview
Chuan Li, Cheng Fang, Zhen Li +32
The Chinese Hα Solar Explorer (CHASE), dubbed "Xihe" - Goddess of the Sun, was launched on October 14, 2021 as the first solar space mission of China National Space Administration…
PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
Xintong Dong, Zhengyi Yuan, Jun Lin +3
Full-waveform inversion (FWI) is a method that utilizes seismic data to invert the physical parameters of subsurface media by minimizing the difference between simulated and observ…
SGAD: Soft-Guided Adaptively-Dropped Neural Network
Zhisheng Wang, Fangxuan Sun, Jun Lin +2
Deep neural networks (DNNs) have been proven to have many redundancies. Hence, many efforts have been made to compress DNNs. However, the existing model compression methods treat a…
Reduced Complexity Belief Propagation Decoders for Polar Codes
Jun Lin, Chenrong Xiong, Zhiyuan Yan
Polar codes are newly discovered capacity-achieving codes, which have attracted lots of research efforts. Polar codes can be efficiently decoded by the low-complexity successive ca…
Research on Stable Obstacle Avoidance Control Strategy for Tracked Intelligent Transportation Vehicles in Non-structural Environment Based on Deep Learning
Yitian Wang, Jun Lin, Liu Zhang +4
Existing intelligent driving technology often has a problem in balancing smooth driving and fast obstacle avoidance, especially when the vehicle is in a non-structural environment,…
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge
Longwei Huang, Chao Fang, Qiong Li +2
Extreme edge platforms, such as in-vehicle smart devices, require efficient deployment of quantized deep neural networks (DNNs) to enable intelligent applications with limited amou…
Impact of Temperature-dependent resistivity and thermal conduction on plasmoid Instabilities in current sheets in the solar corona
Lei Ni, Ilia I. Roussev, Jun Lin +1
In this paper we investigate, by means of two-dimensional magnetohydrodynamic simulations, the impact of temperature-dependent resistivity and thermal conduction on the development…
Fast magnetic reconnection in the solar chromosphere mediated by the plasmoid instability
Lei Ni, Bernhard Kliem, Jun Lin +1
Magnetic reconnection in the partially ionized solar chromosphere is studied in 2.5-dimensional magnetohydrodynamic simulations including radiative cooling and ambipolar diffusion.…
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
Xiangnan Chen, Qian Xiao, Juncheng Li +4
Visual Relation Extraction (VRE) is a powerful means of discovering relationships between entities within visually-rich documents. Existing methods often focus on manipulating enti…
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
Xuan Shen, Weize Ma, Jing Liu +9
Monocular Depth Estimation (MDE) has emerged as a pivotal task in computer vision, supporting numerous real-world applications. However, deploying accurate depth estimation models…
Evolution of the Coronal Magnetic Configurations Including a Current-Carrying Flux Rope in Response to the Change in the Background Field
Hong-Juan Wang, Si-Qing Liu, Jian-Cun Gong +1
We investigate equilibrium height of the flux rope, and its internal equilibrium in a realistic plasma environment by carrying out numerical simulations of the evolution of systems…
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
Kaihang Pan, Juncheng Li, Hongye Song +3
Prompt tuning is a parameter-efficient method, which learns soft prompts and conditions frozen language models to perform specific downstream tasks. Though effective, prompt tuning…
Magnetic reconnection in the low solar chromosphere with a more realistic radiative cooling model
Lei Ni, Vyacheslav S. Lukin, Nicholas A. Murphy +1
Magnetic reconnection is the most likely mechanism responsible for the high temperature events that are observed in strongly magnetized locations around the temperature minimum in…
Twisted-pair unilateral reconnection: A unifying driver for magnetically powered astrophysical bursts
Shu-Ping Yan, Wenhui Yu, Jing Ye +11
Magnetic reconnection in twisted loops has long been invoked as an engine powering energetic transients from black hole accretion to neutron star mergers, yet never directly observ…
DRBA: Dynamic Robotic Balance Assistant -- An assist-as-needed gait and balance rehabilitation robot for versatile training
Yifan Wang, Li Li, Youlong Wang +9
The decline of human balance control due to aging and pathological conditions increases fall risk, a major concern in geriatric care and rehabilitation. Gait training is essential…
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders
Yicheng Zou, Jun Lin, Lujun Zhao +6
Automatic chat summarization can help people quickly grasp important information from numerous chat messages. Unlike conventional documents, chat logs usually have fragmented and e…
Light-weighted foundation model for seismic data processing based on representative and non-redundant pre-training dataset
Xintong Dong, Wenshuo Yu, Jun Lin +3
In the fields of computer vision (CV) and remote sensing (RS), foundational models typically follow the "big data + large model parameters" paradigm. However, the application of th…
Seismic Interpolation Transformer for Consecutively Missing Data: A Case Study in DAS-VSP Data
Ming Cheng, Jun Lin, Xintong Dong +2
Distributed optical fiber acoustic sensing (DAS) is a rapidly-developed seismic acquisition technology with advantages of low cost, high resolution, high sensitivity, and small int…
Fast and Accurate FSA System Using ELBERT: An Efficient and Lightweight BERT
Siyuan Lu, Chenchen Zhou, Keli Xie +2
With the development of deep learning and Transformer-based pre-trained models like BERT, the accuracy of many NLP tasks has been dramatically improved. However, the large number o…
GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance
Jinquan Shi, Yingying Cheng, Fan Zhang +3
The global shift towards renewable energy presents unprecedented challenges for the electricity industry, making regulatory reasoning and compliance increasingly vital. Grid codes,…
Plausibility of ultraviolet burst generation in the low solar chromosphere
Lei Ni, Guanchong Cheng, Jun Lin
Ultraviolet (UV) bursts and Ellerman bombs (EBs) are small-scale magnetic reconnection events taking place in the highly stratified, low solar atmosphere. It is still not clear whe…
Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy
Yongzhen Wang, Xiaozhong Liu, Katy Börner +4
Objective: Ubiquitous internet access is reshaping the way we live, but it is accompanied by unprecedented challenges in preventing chronic diseases that are usually planted by lon…
Training Deep Neural Networks Using Posit Number System
Jinming Lu, Siyuan Lu, Zhisheng Wang +4
With the increasing size of Deep Neural Network (DNN) models, the high memory space requirements and computational complexity have become an obstacle for efficient DNN implementati…
The Broken Lane of a Type II Radio Burst Caused by Collision of a Coronal Shock with a Flare Current Sheet
Guannan Gao, Min Wang, Ning Wu +3
We investigated a peculiar metric type II solar radio burst with a broken lane structure, which was observed on November 13, 2012. In addition to the radio data, we also studied th…
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
Tianqianjin Lin, Pengwei Yan, Kaisong Song +7
Graph foundation models (GFMs) have recently gained significant attention. However, the unique data processing and evaluation setups employed by different studies hinder a deeper u…
Bubbles in graphene - a computational study
Mikkel Settnes, Stephen R. Power, Jun Lin +2
Strain-induced deformations in graphene are predicted to give rise to large pseudomagnetic fields. We examine theoretically the case of gas-inflated bubbles to determine whether si…
The plasmoid instability during asymmetric inflow magnetic reconnection
Nicholas A. Murphy, Aleida K. Young, Chengcai Shen +2
Theoretical studies of the plasmoid instability generally assume that the reconnecting magnetic fields are symmetric. We relax this assumption by performing two-dimensional resisti…
Radiative MHD Studies of Solar Spicules: Driving Mechanisms and the Role of Background Magnetic Field
Jin Li, Lei Ni, Robertus Erdélyi +3
We conduct 2.5D radiative magnetohydrodynamic (MHD) simulations to investigate the driving mechanisms of the solar spicules in coronal holes and how the different background magnet…
Symbol-Based Successive Cancellation List Decoder for Polar Codes
Chenrong Xiong, Jun Lin, Zhiyuan Yan
Polar codes is promising because they can provably achieve the channel capacity while having an explicit construction method. Lots of work have been done for the bit-based decoding…
Magnetic Reconnection Invoked by Sweeping of the CME-Driven Fast-Mode Shock
Guiping Zhou, Guannan Gao, Jingxiu Wang +4
Coronal waves exist ubiquitously in the solar atmosphere. They are important not only in their own rich physics but also essential candidates of triggering magnetic eruptions in th…
The Ellerman bomb and Ultraviolet burst triggered successively by an emerging magnetic flux rope
Guanchong Cheng, Lei Ni, Yajie Chen +2
Ellerman bombs (EBs) and Ultraviolet (UV) bursts are common brightening phenomena which are usually generated in the low solar atmosphere of emerging flux regions. In this paper, w…
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding
Siyuan Lu, Jinming Lu, Jun Lin +1
The Connectionist Temporal Classification (CTC) has achieved great success in sequence to sequence analysis tasks such as automatic speech recognition (ASR) and scene text recognit…
Heating mechanisms in the low solar atmosphere through magnetic reconnection in current sheets
Lei Ni, Jun Lin, Ilia I. Roussev +1
We simulate several magnetic reconnection processes in the low solar chromosphere/photosphere, the radiation cooling, heat conduction and ambipolar diffusion are all included. Our…
Numerical experiments on the detailed energy conversion and spectrum studies in a corona current sheet
Lei Ni, Jun Lin, Zhixing Mei +1
In this paper, we study the energy conversion and spectra in a corona current sheet by 2.5-dimensional MHD numerical simulations. Numerical results show that many Petschek-like fin…
Theoretical Studies on the Evolution of Solar Filaments in Response to New Emerging Flux
Yuhao Chen, Jialiang Hu, Guanchong Cheng +4
New emerging flux (NEF) has long been considered a mechanism for solar eruptions, but detailed process remains an open question. In this work, we explore how NEF drives a coronal m…
Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap
Yige Xu, Yongjie Wang, Zizhuo Wu +3
Reasoning in vision-language models (VLMs) has recently attracted significant attention due to its broad applicability across diverse downstream tasks. However, it remains unclear…
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer
Siyuan Lu, Meiqi Wang, Shuang Liang +2
Designing hardware accelerators for deep neural networks (DNNs) has been much desired. Nonetheless, most of these existing accelerators are built for either convolutional neural ne…
Capabilities of UV Coronagraphic Spectroscopy for Studying the Source Regions of Solar Energetic Particles and the Solar Wind
John L. Kohl, Steven R. Cranmer, Larry D. Gardner +3
We summarize the unique capabilities of UV coronagraphic spectroscopy for determining the detailed plasma properties (e.g., density, temperature, outflow speed, composition) of the…
SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference
Chuanning Wang, Chao Fang, Xiao Wu +2
Deploying deep neural networks (DNNs) on those resource-constrained edge platforms is hindered by their substantial computation and storage demands. Quantized multi-precision DNNs,…
Measurement of magnetic field and relativistic electrons along a solar flare current sheet
Bin Chen, Chengcai Shen, Dale E. Gary +8
In the standard model of solar flares, a large-scale reconnection current sheet is postulated as the central engine for powering the flare energy release and accelerating particles…
Wide-field Decodable Orthogonal Fingerprints of Single Nanoparticles Unlock Multiplexed Digital Assays
Jiayan Liao, Jiajia Zhou, Yiliao Song +8
The control in optical uniformity of single nanoparticles and tuning their diversity in orthogonal dimensions, dot to dot, holds the key to unlock nanoscience and applications. Her…
North-South asymmetries in the Galactic thin disk associated with the vertical phase spiral as seen using LAMOST-Gaia stars
Jun Lin, Rui Guo, Sarah A. Bird +5
We select 1,052,469 (754,635) thin disk stars from {\it Gaia} eDR3 and LAMOST DR7 in the range of Galactocentric radius (guiding center radius ) from 8 to 11\,kpc…
An Efficient FPGA Accelerator for Point Cloud
Zilun Wang, Wendong Mao, Peixiang Yang +2
Deep learning-based point cloud processing plays an important role in various vision tasks, such as autonomous driving, virtual reality (VR), and augmented reality (AR). The subman…
Error Performance Analysis of the Symbol-Decision SC Polar Decoder
Chenrong Xiong, Jun Lin, Zhiyuan Yan
Polar codes are the first provably capacity-achieving forward error correction codes. To improve decoder throughput, the symbol-decision SC algorithm makes hard-decision for multip…
Contribution of Velocity Vortices and Fast Shock Reflection and Refraction to the Formation of EUV Waves in Solar Eruptions
Hongjuan Wang, Siqing Liu, Jiancun Gong +2
We numerically study the detailed evolutionary features of the wave-like disturbance and its propagation in the eruption. This work is a follow-up to Wang et al., using significant…
LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation
Weikang Yuan, Kaisong Song, Zhuoren Jiang +6
Legal consultation is essential for safeguarding individual rights and ensuring access to justice, yet remains costly and inaccessible to many individuals due to the shortage of pr…
A Reduced Latency List Decoding Algorithm for Polar Codes
Jun Lin, Chenrong Xiong, Zhiyuan Yan
Long polar codes can achieve the capacity of arbitrary binary-input discrete memoryless channels under a low complexity successive cancelation (SC) decoding algorithm. But for pola…
Effects of the non-uniform initial environment and the guide field on the plasmoid instability
Lei Ni, Jun Lin, Nicholas A. Murphy
Effects of non-uniform initial mass density and temperature on the plasmoid instability are studied via 2.5-dimensional resistive magnetohydrodynamic(MHD) simulations. Our results…
Kinetic Processes to Radio Burst: First Observational-driven Study in Coronal Loops
Mehdi Yousefzadeh, Marian Karlicky, Artem Koval +3
Understanding the origin of coherent solar radio bursts requires linking macroscopic coronal structures with the kinetic processes responsible for wave generation. We investigate e…
Magnetic reconnection in strongly magnetized regions of the low solar chromosphere
Lei Ni, Vyacheslav S. Lukin, Nicholas A. Murphy +1
Magnetic reconnection in strongly magnetized regions around the temperature minimum region of the low solar atmosphere is studied by employing MHD-based simulations of a partially…
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Weikang Yuan, Junjie Cao, Zhuoren Jiang +7
Large Language Models (LLMs) could struggle to fully understand legal theories and perform complex legal reasoning tasks. In this study, we introduce a challenging task (confusing…
A magnetic reconnection model for the hot explosion with both ultraviolet and Hα wing emissions
Guanchong Cheng, Lei Ni, Yajie Chen +1
Ellerman bombs (EBs) with significant H wing emissions and ultraviolet bursts (UV bursts) with strong Si IV emissions are two kinds of small transient brightening events that o…