papers

Publications (38)

hep-th2026

Candidate Gaugings of Categorical Continuous Symmetry

Qiang Jia, Cheng Ma, Jiahua Tian

Different gaugings of the global symmetry of a quantum field theory are closely related to its various phases. In this work, we study candidate gaugeable symmetries by analyzing ca…

eess.IV2019

Transfer Learning in General Lensless Imaging through Scattering Media

Yukuan Yang, Lei Deng, Peng Jiao +4

Recently deep neural networks (DNNs) have been successfully introduced to the field of lensless imaging through scattering media. By solving an inverse problem in computational ima…

cs.CV2020

Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation

Cheng Ma, Zhenyu Jiang, Yongming Rao +2

Recent works based on deep learning and facial priors have succeeded in super-resolving severely degraded facial images. However, the prior knowledge is not fully exploited in exis…

eess.IV2025

Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography

Tianao Li, Manxiu Cui, Cheng Ma +1

Photoacoustic computed tomography (PACT) is a non-invasive imaging modality, similar to ultrasound, with wide-ranging medical applications. Conventional PACT images are degraded by…

eess.SP2025

End-to-End Hardware Modeling and Sensitivity Optimization of Photoacoustic Signal Readout Chains

Weiran Yang, Yiqi Cai, Handi Deng +1

The sensitivity of the acoustic detection subsystem in photoacoustic imaging (PAI) critically affects image quality. However, previous studies often focused only on front-end acous…

eess.IV2022

Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution

Cheng Ma, Jingyi Zhang, Jie Zhou +1

Lookup table (LUT) has shown its efficacy in low-level vision tasks due to the valuable characteristics of low computational cost and hardware independence. However, recent attempt…

cs.AI2026

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

MiniMax, :, Aili Chen +219

We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…

cond-mat.str-el2021

Tunable electronic structure and magnetic anisotropy in bilayer ferromagnetic semiconductor Cr2Ge2Te6

Wen-ning Ren, Kui-juan Jin, Jie-su Wang +5

The emergence of ferromagnetism in two-dimensional van der Waals materials has aroused broad interest. However, the ferromagnetic instability has been a problem remained. In this w…

cs.CV2024

Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution

Handi Deng, Yucheng Zhou, Jiaxuan Xiang +5

Foundation models have rapidly evolved and have achieved significant accomplishments in computer vision tasks. Specifically, the prompt mechanism conveniently allows users to integ…

eess.IV2020

Structure-Preserving Super Resolution with Gradient Guidance

Cheng Ma, Yongming Rao, Yean Cheng +3

Structures matter in single image super resolution (SISR). Recent studies benefiting from generative adversarial network (GAN) have promoted the development of SISR by recovering p…

physics.bio-ph2016

Sub-Nyquist sampling boosts targeted light transport through opaque scattering media

Yuecheng Shen, Yan Liu, Cheng Ma +1

Optical time-reversal techniques are being actively developed to focus light through or inside opaque scattering media. When applied to biological tissue, these techniques promise…

cs.CV2021

Structure-Preserving Image Super-Resolution

Cheng Ma, Yongming Rao, Jiwen Lu +1

Structures matter in single image super-resolution (SISR). Benefiting from generative adversarial networks (GANs), recent studies have promoted the development of SISR by recoverin…

cond-mat.stat-mech2026

Generalized density functional theory framework for the non-linear density response of quantum many-body systems

Zhandos A. Moldabekov, Cheng Ma, Xuecheng Shao +5

A density functional theory (DFT) framework is presented that links functional derivatives of free-energy functionals to non-linear static density response functions in quantum man…

cond-mat.mtrl-sci2026

Unlocking the Power of Orbital-Free Density Functional Theory to Explore the Electronic Structure Under Extreme Conditions

Cheng Ma, Qiang Xu, Zhenhao Zhang +8

Recent advances in X-ray free-electron laser diagnostics have enabled direct probing of the electronic structure under extreme pressures and temperatures, such as those encountered…

cs.CV2026

GaussianPile: A Unified Sparse Gaussian Splatting Framework for Slice-based Volumetric Reconstruction

Di Kong, Yikai Wang, Wenjie Guo +8

Slice-based volumetric imaging is widely applied and it demands representations that compress aggressively while preserving internal structure for analysis. We introduce GaussianPi…

cond-mat.mtrl-sci2025

Room-temperature magnetoelectric coupling in strontium titanate

Zhen Yang, Cheng Ma, Mengqin Wang +12

Magnetoelectric (ME) multiferroics enable efficient interconversion of electrical and magnetic signals, offering pathways toward substantial reduction of power consumption in next-…

cs.SI2024

Divide-and-rule policy in the Naming Game

Cheng Ma, Brendan Cross, Gyorgy Korniss +1

The Naming Game is a classic model for studying the emergence and evolution of language within a population. In this paper, we extend the traditional Naming Game model to encompass…

cond-mat.stat-mech2024

Fluctuations and Persistence in Quantum Diffusion on Regular Lattices

Cheng Ma, Omar Malik, G. Korniss

We investigate quantum persistence by analyzing amplitude and phase fluctuations of the wave function governed by the time-dependent free-particle Schrödinger equation. The quantu…

cs.RO2026

When Does Legacy Data Start to Help? Emergent Transfer in Cross-Configuration Robot Learning

Tao Wang, Hudson Hou, Yingdong Hu +7

The paper investigates when demonstration data collected on an older robot configuration becomes useful for training a newer robot, revealing a three‑phase pattern where legacy dat…

#transfer learning#cross-configuration learning#legacy data reuse#robot manipulation
physics.soc-ph2023

Generalized dimension reduction approach for heterogeneous networked systems with time-delay

Cheng Ma, Gyorgy Korniss, Boleslaw K. Szymanski +1

Networks of interconnected agents are essential to study complex networked systems' state evolution, stability, resilience, and control. Nevertheless, the high dimensionality and n…

physics.comp-ph2024

Nonlocal free-energy density functional for warm dense matter

Cheng Ma, Min Chen, Yu Xie +4

Finite-temperature orbital-free density functional theory (FT-OFDFT) holds significant promise for simulating warm dense matter due to its favorable scaling with both system size a…

quant-ph2021

On-Demand Storage and Retrieval of Microwave Photons Using a Superconducting Multiresonator Quantum Memory

Zenghui Bao, Zhiling Wang, Yukai Wu +5

A quantum memory that can store quantum states faithfully and retrieve them on demand has wide applications in quantum information science. An efficient quantum memory in the micro…

quant-ph2021

Improved superconducting qubit state readout by path interference

Zhiling Wang, Zenghui Bao, Yukai Wu +6

High fidelity single shot qubit state readout is essential for many quantum information processing protocols. In superconducting quantum circuit, the qubit state is usually determi…

physics.plasm-ph2025

Ab initio density functional theory approach to warm dense hydrogen: from density response to electronic correlations

Zhandos A. Moldabekov, Xuecheng Shao, Hannah M. Bellenbaum +5

Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confineme…

nlin.AO2019

Dynamic Vulnerability in Oscillatory Networks and Power Grids

Xiaozhu Zhang, Cheng Ma, Marc Timme

Recent work found distributed resonances in driven oscillator networks and AC power grids. The emerging dynamic resonance patterns are highly heterogeneous and nontrivial, dependin…

physics.optics2014

Tracking and imaging of dynamic objects in scattering media by time-reversed adapted-perturbation (TRAP) optical focusing

Cheng Ma, Xiao Xu, Yan Liu +1

The ability to steer light propagation inside scattering media has long been sought-after due to its potential widespread applications. To form optical foci inside scattering media…

q-bio.PE2021

Universality of noise-induced resilience restoration in spatially-extended ecological systems

Cheng Ma, Gyorgy Korniss, Boleslaw K. Szymanski +1

Many systems may switch to an undesired state due to internal failures or external perturbations, of which critical transitions toward degraded ecosystem states are a prominent exa…

cond-mat.mtrl-sci2022

Nonlocal Pseudopotential Energy Density Functional for Orbital-Free Density Functional Theory

Qiang Xu, Cheng Ma, Wenhui Mi +2

Orbital-free density functional theory (OF-DFT) runs at low computational cost that scales linearly with the number of simulated atoms, making it suitable for large-scale material…

nucl-th2026

Systematic study of one-point kinetic energy density functionals for atomic nuclei

Tian Shuai Shang, Jian Li, Haozhao Liang +5

To explore the applicability of orbital-free density functional theory (OF-DFT) in nuclear physics, we perform a systematic benchmark of 36 one-point kinetic energy density functio…

cs.CV2021

Weakly Supervised High-Fidelity Clothing Model Generation

Ruili Feng, Cheng Ma, Chengji Shen +5

The development of online economics arouses the demand of generating images of models on product clothes, to display new clothes and promote sales. However, the expensive proprieta…

cond-mat.mtrl-sci2026

Boron-assisted synthesis of compositionally complex amorphous oxides via short-range-order-constrained generative design

Honglin Li, Chuhao Liu, Yongfeng Guo +19

Engineering short-range atomic order in amorphous materials offers a promising yet still underexplored route to high-performance solids. Here, we establish a boron-assisted amorphi…

physics.optics2015

Fast binarized time-reversed adapted-perturbation (b-TRAP) optical focusing inside scattering media

Cheng Ma, Fengbo Zhou, Yan Liu +1

Light scattering inhibits high-resolution optical imaging, manipulation and therapy deep inside biological tissue by preventing focusing. To form deep foci, wavefront-shaping and t…

cs.CV2021

Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search

Cheng Ma, Jiwen Lu, Jie Zhou

As hashing becomes an increasingly appealing technique for large-scale image retrieval, multi-label hashing is also attracting more attention for the ability to exploit multi-level…

cs.CV2017

Multi-Context Attention for Human Pose Estimation

Xiao Chu, Wei Yang, Wanli Ouyang +3

In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation. We adopt sta…

cond-mat.mtrl-sci2024

Fast and stable tight-binding framework for nonlocal kinetic energy density functional reconstruction in orbital-free density functional calculations

Yongshuo Chen, Cheng Ma, Boning Cui +5

Nonlocal kinetic energy density functionals (KEDFs) with density-dependent kernels are currently the most accurate functionals available for orbital-free density functional theory…

cs.CV2026

Point What You Mean: Visually Grounded Instruction Policy

Hang Yu, Juntu Zhao, Yufeng Liu +9

Vision-Language-Action (VLA) models align vision and language with embodied control, but their object referring ability remains limited when relying solely on text prompt, especial…

physics.optics2026

RF heating-enhanced photoacoustic tomography

Skyler P. Selvin, XuanHao Wang, Handi Deng +2

Photoacoustic tomography (PAT) and thermoacoustic tomography (TAT) both leverage acoustic signals generated by electromagnetic absorption to noninvasively image deep tissues. PAT o…

cond-mat.mtrl-sci2015

Novel solid-state glycine-nitrate combustion for controllable synthesis of hierarchically porous Ni monolith

Qin Guo, Ying Zhao, Jiatu Liu +4

We demonstrate a novel solid-state glycine-nitrate route for not only the scalable combustion synthesis of hierarchically porous Ni monolith, but also control over impurities, micr…