papers

Publications (24)

cs.FL2010

State Complexity of Two Combined Operations: Reversal-Catenation and Star-Catenation

Bo Cui, Yuan Gao, Lila Kari +1

In this paper, we show that, due to the structural properties of the resulting automaton obtained from a prior operation, the state complexity of a combined operation may not be eq…

cs.CV2019

Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention

Guyue Hu, Bo Cui, Shan Yu

Benefiting from its succinctness and robustness, skeleton-based action recognition has recently attracted much attention. Most existing methods utilize local networks (e.g., recurr…

eess.SP2026

Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis

Bo Cui, Xiaowen Song, Yaowen Zhang +4

The analysis of physiological time series, such as electrocardiograms (ECG) and photoplethysmograms (PPG), is persistently hindered by modality and frequency gaps stemming from het…

physics.plasm-ph2026

Efficient Generation of Neutrons Based on Ultrashort Laser-driven Direct Acceleration in Microwire-Array Targets

Kaiyuan Feng, Debin Zou, Bo Cui +17

We report on an experimental demonstration of efficient neutron generation based on direct laser acceleration in microwire-array targets irradiated by ultrashort (tens of femtoseco…

cs.FL2010

State Complexity of Catenation Combined with Star and Reversal

Bo Cui, Yuan Gao, Lila Kari +1

This paper is a continuation of our research work on state complexity of combined operations. Motivated by applications, we study the state complexities of two particular combined…

physics.plasm-ph2022

Target density effects on charge tansfer of laser-accelerated carbon ions in dense plasma

Jieru Ren, Bubo Ma, Lirong Liu +39

We report on charge state measurements of laser-accelerated carbon ions in the energy range of several MeV penetrating a dense partially ionized plasma. The plasma was generated by…

cs.CL2026

ERNIE 5.0 Technical Report

Haifeng Wang, Hua Wu, Tian Wu +432

In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…

physics.plasm-ph2026

Observation of stopping power reduction at strong ion-plasma coupling

Yun Liu, Jieru Ren, Zhigang Deng +30

The paper reports the first experimental measurement of ion stopping power reduction in a strongly coupled dense plasma using laser‑accelerated carbon ions, showing lower stopping…

#ion stopping#strong coupling#dense plasma#laser‑accelerated ions
cs.LG2021

Continual Learning of Context-dependent Processing in Neural Networks

Guanxiong Zeng, Yang Chen, Bo Cui +1

Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and…

cs.CV2020

Progressive Relation Learning for Group Activity Recognition

Guyue Hu, Bo Cui, Yuan He +1

Group activities usually involve spatiotemporal dynamics among many interactive individuals, while only a few participants at several key frames essentially define the activity. Th…

physics.acc-ph2024

First Proof of Principle Experiment for Muon Production with Ultrashort High Intensity Laser

Feng Zhang, Li Deng, Yanjie Ge +26

Muons, which play a crucial role in both fundamental and applied physics, have traditionally been generated through proton accelerators or from cosmic rays. With the advent of ultr…

eess.SP2025

Evaluating Multi-Sensor Placement and Neural Network Architectures for Physical Activity Level Classification

Bo Cui, Xiaowen Song, Tabak Monique +2

Accurate physical activity level (PAL) classification could be beneficial for osteoarthritis (OA) management. This study examines the impact of sensor placement and deep learning m…

physics.acc-ph2025

Express Diagnostic of Intense Laser-driven MeV Radiation Source using Copper Isotopes

Mingzhe Yang, Ziyao wang, Jieru Ren +28

We explored the generation and diagnosis of high-brightness MeV bremsstrahlung radiation caused by intense beam of relativistic electrons propagating in a tantalum converter. The i…

physics.plasm-ph2023

Energy loss enhancement of very intense proton beams in dense matter due to the beam-density effect

Benzheng Chen, Jieru Ren, Zhigang Deng +27

Thoroughly understanding the transport and energy loss of intense ion beams in dense matter is essential for high-energy-density physics and inertial confinement fusion. Here, we r…

physics.atom-ph2023

Charge equilibration of Laser-accelerated Carbon Ions in Foam Target

Bubo Ma, Jieru Ren, Lirong Liu +39

The charge equilibration of laser-accelerated carbon ion beams in 2 mg/cm3 foam target was investigated experimentally. The ions were generated through target normal sheath acceler…

astro-ph.EP2020

Encounter of Parker Solar Probe and a Comet-like Object During Their Perihelia: Model Predictions and Measurements

Jiansen He, Bo Cui, Liping Yang +15

Parker Solar Probe (PSP) aims at exploring the nascent solar wind close to the Sun. Meanwhile, PSP is also expected to encounter small objects like comets and asteroids. In this wo…

physics.med-ph2026

Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals

Yaowen Zhang, Bo Cui, Libera Fresiello +3

Accurate cardiac output (CO) estimation from photoplethysmography (PPG) is promising for unobtrusive hemodynamic monitoring, but remains difficult since CO is jointly determined by…

physics.plasm-ph2023

Proton-Boron Fusion Yield Increased by Orders of Magnitude with Foam Targets

Wen-Qing Wei, Shi-Zheng Zhang, Zhi-Gang Deng +35

A novel intense beam-driven scheme for high yield of the tri-alpha reaction 11B(p,α)2α was investigated. We used a foam target made of cellulose triacetate (TAC, C_9H_{16}O_8) do…

cs.LG2019

Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network

Ruihuan Du, Yu Zhong, Harikesh Nair +2

This paper describes a practical system for Multi Touch Attribution (MTA) for use by a publisher of digital ads. We developed this system for JD.com, an eCommerce company, which is…

cs.CL2026

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs

Baorong Shi, Bo Cui, Boyuan Jiang +17

We present MedXIAOHE, a medical vision-language foundation model designed to advance general-purpose medical understanding and reasoning in real-world clinical applications. MedXIA…

math.OA2019

On the inductive limit of direct sums of simple TAI algebras

Bo Cui, Chunlan Jiang, Liangqing Li

An ATAI (or ATAF, respectively) algebra, introduced in [Jiang1] (or in [Fa] respectively) is an inductive limit $\lim\limits_{n\rightarrow\infty}(A_{n}=\bigoplus\limits_{i=1}A_{n}^…

physics.plasm-ph2020

Anomalous stopping of laser-accelerated intense proton beam in dense ionized matter

Jieru Ren, Zhigang Deng, Wei Qi +26

Ultrahigh-intensity lasers (10-10W/cm) have opened up new perspectives in many fields of research and application [1-5]. By irradiating a thin foil, an ultrahig…

cs.CV2025

UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning

Maoxun Yuan, Bo Cui, Tianyi Zhao +4

Semantic analysis on visible (RGB) and infrared (IR) images has gained significant attention due to their enhanced accuracy and robustness under challenging conditions including lo…

cs.CV2025

BaseReward: A Strong Baseline for Multimodal Reward Model

Yi-Fan Zhang, Haihua Yang, Huanyu Zhang +11

The rapid advancement of Multimodal Large Language Models (MLLMs) has made aligning them with human preferences a critical challenge. Reward Models (RMs) are a core technology for…