papers

Publications (37)

cs.CV2026

Continual Video-MLLM Adaptation over Evolving Domains

Rui Cheng, Meixing Shi, Yuxiang Cai +3

Video multimodal large language models have shown strong capability in video understanding, yet their adaptation to sequentially evolving domains remains underexplored. In real-wor…

physics.optics2024

Electrically Programmable Pixelated Graphene-Integrated Plasmonic Metasurfaces for Coherent Mid-Infrared Emission

Xiu Liu, Yibai Zhong, Zexiao Wang +14

Active metasurfaces have recently emerged as compact, lightweight, and efficient platforms for dynamic control of electromagnetic fields and optical responses. However, the complex…

cs.CV2020

Multistage Model for Robust Face Alignment Using Deep Neural Networks

Huabin Wang, Rui Cheng, Jian Zhou +2

An ability to generalize unconstrained conditions such as severe occlusions and large pose variations remains a challenging goal to achieve in face alignment. In this paper, a mult…

physics.acc-ph2017

Experiments on bright field and dark field high energy electron imaging with thick target material

Zheng Zhou, Yingchao Du, Shuchun Cao +18

Using a high energy electron beam for the imaging of high density matter with both high spatial-temporal and areal density resolution under extreme states of temperature and pressu…

physics.plasm-ph2023

Transport of intense ion beams in plasmas: collimation and energy-loss reduction

Yongtao Zhao, Benzheng Chen, Dong Wu +15

We compare the transport properties of a well-characterized hydrogen plasma for low and high current ion beams. The energy-loss of low current beams can be well understood, within…

physics.optics2025

Reconfigurable Ultrafast Thermal Metamaterial Pixel Arrays by Dual-Gate Graphene Transistors

Yibai Zhong, Xiu Liu, Zexiao Wang +8

Thermal signatures represent ubiquitous infrared appearances of objects, carrying their unique spectral fingerprints. Despite extensive efforts to decipher and manipulate thermal-i…

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…

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…

eess.SY2021

An Online Feedback-Based Linearized Power Flow Model for Unbalanced Distribution Networks

Rui Cheng, Zhaoyu Wang, Yifei Guo

The non-linearity and non-convexity of power flow models and the phase coupling challenge the analysis and optimization of unbalanced distribution networks. To tackle the challenge…

eess.SP2025

Learning to Beamform for Cooperative Localization and Communication: A Link Heterogeneous GNN-Based Approach

Lixiang Lian, Chuanqi Bai, Yihan Xu +3

Integrated sensing and communication (ISAC) has emerged as a key enabler for next-generation wireless networks, supporting advanced applications such as high-precision localization…

cs.CV2021

Progressive Graph Convolution Network for EEG Emotion Recognition

Yijin Zhou, Fu Li, Yang Li +6

Studies in the area of neuroscience have revealed the relationship between emotional patterns and brain functional regions, demonstrating that dynamic relationships between differe…

physics.plasm-ph2026

Wave-number-dependent closure condition for fluid moment equations

Yong Sun, Shijia Chen, Minqing He +7

Fluid models offer crucial computational efficiency for plasma simulations, yet accurately capturing kinetic effects like Landau damping remains a fundamental challenge. While conv…

eess.SY2022

Data-Driven Affinely Adjustable Robust Volt/VAr Control

Naihao Shi, Rui Cheng, Liming Liu +2

This paper proposes a data-driven affinely adjustable robust Volt/VAr control (AARVVC) scheme, which modulates the smart inverter reactive power in an affine function of its active…

cs.CL2018

Exploiting Contextual Information via Dynamic Memory Network for Event Detection

Shaobo Liu, Rui Cheng, Xiaoming Yu +1

The task of event detection involves identifying and categorizing event triggers. Contextual information has been shown effective on the task. However, existing methods which utili…

eess.SP2022

A Two-layer Approach for Estimating Behind-the-Meter PV Generation Using Smart Meter Data

Fankun Bu, Rui Cheng, Zhaoyu Wang

As the cost of the residential solar system decreases, rooftop photovoltaic (PV) has been widely integrated into distribution systems. Most rooftop PV systems are installed behind-…

eess.SY2023

Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks

Salish Maharjan, Rui Cheng, Zhaoyu Wang

Fast and accurate estimation of sensitivity matrices is significant for the enhancement of distribution system modeling and automation. Analytical estimations have mainly focused o…

cond-mat.mes-hall2015

Electric field induced strong enhancement of electroluminescence in multi-Layer MoS2

Dehui Li, Rui Cheng, Hailong Zhou +6

The layered transition metal dichalcogenides (TMDs) have attracted considerable interest due to their unique electronic and optical properties. Here we report electric field induce…

cond-mat.mes-hall2014

Electroluminescence and photocurrent generation from atomically sharp WSe2/MoS2 heterojunction p-n diodes

Rui Cheng, Dehui Li, Hailong Zhou +7

The p-n diodes represent the most fundamental device building block for diverse optoelectronic functions, but are difficult to achieve in atomically thin transition metal dichalcog…

cond-mat.soft2021

Protein-Polymer Mixtures in the Colloid Limit: Aggregation, Sedimentation and Crystallization

Rui Cheng, Jingwen Li, Ioatzin Ríos de Anda +5

While proteins have been treated as particles with a spherically symmetric interaction, of course in reality the situation is rather more complex. A simple step towards higher comp…

eess.SY2024

Input Convex Neural Network-Assisted Optimal Power Flow in Distribution Networks: Modeling, Algorithm Design, and Applications

Rui Cheng, Yuze Yang, Wenxia Liu +2

This paper proposes an input convex neural network (ICNN)-Assisted optimal power flow (OPF) in distribution networks. Instead of relying purely on optimization or machine learning,…

cs.CV2025

MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching

Wanqing Cui, Rui Cheng, Jiafeng Guo +1

Existing two-stream models, such as CLIP, encode images and text through independent representations, showing good performance while ensuring retrieval speed, have attracted attent…

cs.HC2010

iZone: A Location-Based Mobile Social Networking System

Rui Cheng, Zhuo Yang, Feng Xia

The rapid development of wireless technology, the extensive use of mobile phones and the availability of location information are facilitating personalized location-based applicati…

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
eess.SY2024

Optimal Power Flow for Integrated Primary-Secondary Distribution Networks with Center-Tapped Service Transformers

Rui Cheng, Naihao Shi, Zhaoyu Wang +1

Secondary distribution networks (SDNets) play an increasingly important role in smart grids due to a high proliferation of distributed energy resources (DERs) in SDNets. However, m…

eess.SP2021

Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles

Dingwei Wang, Yuxuan Yuan, Rui Cheng +1

This paper develops a data-driven approach to accurately predict the restoration time of outages under different scales and factors. To achieve the goal, the proposed method consis…

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…

eess.SY2022

Online Voltage Control for Unbalanced Distribution Networks Using Projected Newton Method

Rui Cheng, Zhaoyu Wang, Yifei Guo +1

This paper proposes an online voltage control strategy of distributed energy resources (DERs), based on the projected Newton method (PNM), for unbalanced distribution networks. The…

cs.RO2026

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms

Zongyuan Shen, Shalabh Gupta, Shancheng Zhao +7

Motion planning in dynamic environments is a fundamental problem in robotics, aiming to generate safe and efficient paths, trajectories, or control actions in the presence of movin…

physics.optics2026

Anti-symmetric Multimode Waveguide Grating-Assisted Narrowband MZI for Programmable Spectral Shaping Units

Qi Wang, Pin Yu, Jia Meng +3

We present a narrowband integrated Mach-Zehnder interferometer (MZI) capable of precise transmission control within a targeted wavelength band while maintaining out-of-band transpa…

cs.CV2026

Learning human joint torques from pixels

Chen Chen, Rui Cheng

Estimating human joint torques from visual observations is a key step toward bringing biomechanical analysis from controlled laboratories to real-world movement scenarios. Existing…

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…

eess.SY2022

Automatic Self-Adaptive Local Voltage Control Under Limited Reactive Power

Rui Cheng, Naihao Shi, Salish Maharjan +1

The increasing proliferation of distributed energy resources has posed new challenges to Volt/VAr control problems in distribution networks. To this end, this paper proposes an aut…

eess.SY2023

Robust Model Predictive Techno-Economic Control of Active Distribution Networks

Salish Maharjan, Prashant Tiwari, Rui Cheng +1

Stochastic controllers are perceived as a promising solution for techno-economic operation of distribution networks having higher generation uncertainties at large penetration of r…

eess.SY2021

Analyzing Photovoltaic's Impact on Conservation Voltage Reduction in Distribution Networks

Rui Cheng, Zhaoyu Wang, Yifei Guo +1

Conservation voltage reduction (CVR) has been widely implemented in distribution networks and helped utilities effectively reduce energy and peak load. However, the increasing pene…

physics.acc-ph2015

Beam optical design for high energy electron radiography experiment study based on THU LINAC

Quantang Zhao, Shuchun Cao, Ming Liu +10

A special beam line for high energy electron radiography is designed, including achromat and imaging systems. The requirement of the angle and position correction on the target fro…

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…