Publications (83)
High-Level Coupled-Cluster Energetics by Monte Carlo Sampling and Moment Expansions: Further Details and Comparisons
J. Emiliano Deustua, Jun Shen, Piotr Piecuch
We recently proposed a novel approach to converging electronic energies equivalent to high-level coupled-cluster (CC) computations by combining the deterministic CC(;) formal…
CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning
Mingyuan Li, Chunyu Liu, Zhuojun Li +5
Traffic accidents result in millions of injuries and fatalities globally, with a significant number occurring at intersections each year. Traffic Signal Control (TSC) is an effecti…
In Vivo Magnetic Resonance Spectroscopy by J-Locked Chemical Shift Encoding for Determination of Neurochemical Concentration and Transverse Relaxation Time
Li An, Jun Shen
Cell pathology in neuropsychiatric disorders has mainly been accessible by analyzing postmortem tissue samples. Although molecular transverse relaxation informs local cellular micr…
Anisotropic Electronic Correlations in the Spin Density Wave State of LaNiO
Ge He, Jun Shen, Shiyu Xie +21
The bilayer nickelate superconductor LaNiO undergoes a density wave transition near 150 K that has attracted intensive scrutiny, yet its microscopic origin remains elus…
EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods
Huiyuan Xiong, Jun Shen, Taohong Zhu +1
High-definition (HD) map is crucial for autonomous driving systems. Most existing works design map elements detection heads based on the DETR decoder. However, the initial queries…
A Machine Learning Framework for Data Ingestion in Document Images
Han Fu, Yunyu Bai, Zhuo Li +2
Paper documents are widely used as an irreplaceable channel of information in many fields, especially in financial industry, fostering a great amount of demand for systems which ca…
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition
Qi Xiong, Xinman Zhang, Jun Shen
Blind iris images, which result from unknown degradation during the process of iris recognition at long distances, often lead to decreased iris recognition rates. Currently, little…
Extension of the Active-Orbital-Based and Adaptive CC(;) Approaches to Excited Electronic States: Application to Potential Cuts of Water
Karthik Gururangan, Jun Shen, Piotr Piecuch
We report the first study using active-orbital-based and adaptive CC(;) approaches to describe excited electronic states. These CC(;) methodologies are applied, alongsi…
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation
Xiaohong Liu, Guoxing Yang, Yulin Luo +6
Radiology is a vital and complex component of modern clinical workflow and covers many tasks. Recently, vision-language (VL) foundation models in medicine have shown potential in p…
A Cross-graph Tuning-free GNN Prompting Framework
Yaqi Chen, Shixun Huang, Ryan Twemlow +6
GNN prompting aims to adapt models across tasks and graphs without requiring extensive retraining. However, most existing graph prompt methods still require task-specific parameter…
The coupling effect between the environment and strategies drives the emergence of group cooperation
Changyan Di, Qingguo Zhou, Jun Shen +3
Introducing environmental feedback into evolutionary game theory has led to the development of eco-evolutionary games, which have gained popularity due to their ability to capture…
On the Strong Equivalences for LPMLN Programs
Bin Wang, Jun Shen, Shutao Zhang +1
LPMLN is a powerful knowledge representation and reasoning tool that combines the non-monotonic reasoning ability of Answer Set Programming (ASP) and the probabilistic reasoning ab…
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant
Haonan Wang, Jiaji Mao, Lehan Wang +11
Medical AI assistants support doctors in disease diagnosis, medical image analysis, and report generation. However, they still face significant challenges in clinical use, includin…
DANAA: Towards transferable attacks with double adversarial neuron attribution
Zhibo Jin, Zhiyu Zhu, Xinyi Wang +3
While deep neural networks have excellent results in many fields, they are susceptible to interference from attacking samples resulting in erroneous judgments. Feature-level attack…
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting
Songtao Huang, Hongjin Song, Tianqi Jiang +5
Accurate traffic forecasting is essential for effective urban planning and congestion management. Deep learning (DL) approaches have gained colossal success in traffic forecasting…
Photoluminescence and photochemistry of the defect in hexagonal boron nitride
Jeffrey R. Reimers, Jun Shen, Mehran Kianinia +4
Extensive photochemical and spectroscopic properties of the defect in hexagonal boron nitride are calculated, concluding that the observed photoemission associated with rec…
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
Mingyuan Li, Jiahao Wang, Bo Du +2
Effective traffic signal control (TSC) is crucial in mitigating urban congestion and reducing emissions. Recently, reinforcement learning (RL) has been the research trend for TSC.…
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
Yijie Zheng, Weijie Wu, Qingyun Li +7
Language-Guided object recognition in remote sensing imagery is crucial for large-scale mapping and automated data annotation. However, existing open-vocabulary and visual groundin…
Are NFTs Ready to Keep Australian Artists Engaged?
Ruiqiang Li, Brian Yecies, Qin Wang +2
Non-Fungible Tokens (NFTs) offer a promising mechanism to protect Australian and Indigenous artists' copyright. They represent and transfer the value of artwork in digital form. Be…
Is Externally Corrected Coupled Cluster Always Better than the Underlying Truncated Configuration Interaction?
Ilias Magoulas, Karthik Gururangan, Piotr Piecuch +2
The short answer to the question in the title is 'no'. We identify classes of truncated configuration interaction (CI) wave functions for which the externally corrected coupled-clu…
Smooth inertial manifolds for neutral differential equations with small delays
Shuang Chen, Jun Shen
In this paper, we study the dynamical behaviors of neutral differential equations with small delays. We first establish the existence and smoothness of the global inertial manifold…
Empowering Visual Artists with Tokenized Digital Assets with NFTs
Ruiqiang Li, Brian Yecies, Qin Wang +2
The Non-Fungible Tokens (NFTs) has the transformative impact on the visual arts industry by examining the nexus between empowering art practices and leveraging blockchain technolog…
Diagnosing the remnants of binary neutron star merger from GW170817/GRB170817A event
Hou-Jun Lü, Jun Shen, Lin Lan +3
The event GW170817/GRB 170817A, discovered via the successful joint observation of its gravitational wave radiation and its multi-wavelength electromagnetic counterparts, was the f…
DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer
Hai Jiang, Chushan Zheng, Jiawei Pan +5
Background: Accurate assessment of metastatic burden in axillary lymph nodes is crucial for guiding breast cancer treatment decisions, yet conventional imaging modalities struggle…
The X-ray re-brightening of GRB afterglow revisited: a possible signature from activity of the central engine
Zhe Yang, Hou-Jun Lü, Xing Yang +2
Long-duration gamma-ray bursts (GRBs) are thought to be from core collapse of massive stars, and a rapidly spinning magnetar or black hole may be formed as the central engine. The…
PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation
Zhijie Bao, Qingyun Liu, Ying Guo +6
In China, receptionist nurses face overwhelming workloads in outpatient settings, limiting their time and attention for each patient and ultimately reducing service quality. In thi…
In Vivo GABA Detection by Single Pulse Editing with One Shot
Li An, Sungtak Hong, Maria Ferraris Araneta +3
Over the past two decades, magnetic resonance spectroscopy with two-shot difference editing has been widely employed to characterize altered levels of GABA, the primary inhibitory…
Evidence for gravitational-wave dominated emission in the central engine of short GRB 200219A
Hou-Jun Lü, Yong Yuan, Lin Lan +7
GRB 200219A is a short gamma-ray burst (GRB) with an extended emission (EE) lasting s. By analyzing data observed with the {\em Swift}/BAT and {\em Fermi}/GBM, we find tha…
A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs
Salim Alismaili, Mengxiang Li, Jun Shen +1
Cloud computing is proved to be an effective computing technology for organisations through the advantages that it offers such as cost-effectiveness, IT technical agility and scala…
TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems
Ngoc Bao Anh Le, Thai T. Vu, John Le +2
Existing homomorphic encryption (HE)-based GNN systems adopt a graph-centric paradigm that couples per-query cost to global graph size, limiting evaluations to at most ~20k nodes a…
Benchmarking the Semi-Stochastic CC(P;Q) Approach for Singlet-Triplet Gaps in Biradicals
Arnab Chakraborty, Stephen H. Yuwono, J. Emiliano Deustua +2
We recently proposed a semi-stochastic approach to converging high-level coupled-cluster (CC) energetics, such as those obtained in the CC calculations with singles, doubles, and t…
Efficient Pressure: Improving efficiency for signalized intersections
Qiang Wu, Liang Zhang, Jun Shen +3
Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC)…
Double Electron Attachment and Double Ionization Potential Equation-of-Motion Coupled-Cluster Approaches with Full and Active-Space Treatments of 4-Particle-2-Hole and 4-Hole-2-Particle Excitations and Three-Body Clusters
Jun Shen, Karthik Gururangan, Piotr Piecuch
The double electron attachment (DEA) and double ionization potential (DIP) equation-of-motion coupled-cluster (EOMCC) methods including up to 4-particle-2-hole (4-2) and 4-ho…
Glassy magnetic behavior induced by substitution in frustrated antiferromagnet
Li-qin Yan, Ferran Maciá, Jun-rong Zhang +4
Structure and magnetic properties of the compounds (ZCCO) are investigated systematically. A structural phase transition from space-group symmetry to $…
The properties of prompt emission in short GRBs with extended emission observed by {\em Fermi}/GBM
Lin Lan, Rui-Jing Lu, Hou-Jun Lü +4
Short GRBs with extended emission (EE) that are composed initially of a short-hard spike and followed by a long-lasting EE, are thought to be classified as a subsection of short GR…
Symmetric Group Testing and Superimposed Codes
Amin Emad, Jun Shen, Olgica Milenkovic
We describe a generalization of the group testing problem termed symmetric group testing. Unlike in classical binary group testing, the roles played by the input symbols zero and o…
User Pairing and Power Allocation in Untrusted Multiuser NOMA for Internet-of-Things
Chaoying Yuan, Wei Ni, Kezhong Zhang +3
In the Internet-of-Things (IoT), massive sensitive and confidential information is transmitted wirelessly, making security a serious concern. This is particularly true when technol…
High-Level Coupled-Cluster Energetics by Merging Moment Expansions with Selected Configuration Interaction
Karthik Gururangan, J. Emiliano Deustua, Jun Shen +1
Inspired by our earlier semi-stochastic work aimed at converging high-level coupled-cluster (CC) energetics [J. E. Deustua, J. Shen, and P. Piecuch, Phys. Rev. Lett. 119, 223003 (2…
FedHPro: Federated Hyper-Prototype Learning via Gradient Matching
Huan Wang, Jun Shen, Haoran Li +6
Federated Learning (FL) enables collaborative training of distributed clients while protecting privacy. To enhance generalization capability in FL, prototype-based FL is in the spo…
Isoenergetic Two-Photon Excitation Enhances Solvent-to-Solute Excited-State Proton Transfer
Jurick Lahiri, Mehdi Moemeni, Jessica Kline +9
Two-photon excitation is an attractive means for controlling chemistry in both space and time. Isoenergetic one- and two-photon excitations (OPE and TPE) in non-centrosymmetric mol…
Addressing Strong Correlation by Approximate Coupled-Pair Methods with Active-Space and Full Treatments of Three-Body Clusters
Ilias Magoulas, Jun Shen, Piotr Piecuch
When the number of strongly correlated electrons becomes larger, the single-reference coupled-cluster (CC) CCSD, CCSDT, etc. hierarchy displays an erratic behavior, while tradition…
Fractional phase slips across the charge-density-wave domain walls in 1-T TiSe2
Haotian Zhang, Zihao Song, Zhongchen Xu +9
The microscopic origin of the charge density wave (CDW) in 1\textit{T}-TiSe remains controversial, with competing scenarios based on phonon-driven lattice instability and elect…
A Formal Study on Backward Compatible Dynamic Software Updates
Jun Shen, Rida A. Bazzi
We study the dynamic software update problem for programs interacting with an environment that is not necessarily updated. We argue that such updates should be backward compatible.…
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
Weihang Dai, Xiaomeng Li, Taihui Yu +3
Atrial Fibrillation (AF) is characterized by rapid, irregular heartbeats, and can lead to fatal complications such as heart failure. The disease is divided into two sub-types based…
The Ground State Electronic Energy of Benzene
Janus J. Eriksen, Tyler A. Anderson, J. Emiliano Deustua +21
We report on the findings of a blind challenge devoted to determining the frozen-core, full configuration interaction (FCI) ground state energy of the benzene molecule in a standar…
Crop and weed classification based on AutoML
Xuetao Jiang, Binbin Yong, Soheila Garshasbi +3
CNN models already play an important role in classification of crop and weed with high accuracy, more than 95% as reported in literature. However, to manually choose and fine-tune…
Knowledge Management for Cloud Computing Field
Mahdi Fahmideh, Jun Yan, Jun Shen +3
Migration legacy systems to cloud platforms is a knowledge intensive process. There is an ever increasing body of knowledge reporting empirical scenarios of successful and problema…
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience
Mahdi Fahmideh, Jun Yan, Jun Shen +3
The compliance of IoT platforms to quality is paramount to achieve users satisfaction. Currently, we do not have a comprehensive set of guidelines to appraise and select the most s…
Gamma-Ray Burst/Supernova Associations: Energy partition and the case of a magnetar central engine
Hou-Jun Lü, Lin Lan, Bing Zhang +4
The favored progenitor model for Gamma-ray Bursts (GRBs) with Supernova (SN) association is the core collapse of massive stars. One possible outcome of such a collapse is a rapidly…
KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
Binbin Yong, Haoran Pei, Jun Shen +3
Adaptive Neuro-Fuzzy Inference System (ANFIS) was designed to combine the learning capabilities of neural network with the reasoning transparency of fuzzy logic. However, conventio…
FairCompass: Operationalising Fairness in Machine Learning
Jessica Liu, Huaming Chen, Jun Shen +1
As artificial intelligence (AI) increasingly becomes an integral part of our societal and individual activities, there is a growing imperative to develop responsible AI solutions.…
A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms
Meiyu Jiang, Jun Shen, Xuetao Jiang +3
Wind energy is a widely distributed, renewable, and environmentally friendly energy source that plays a crucial role in mitigating global warming and addressing energy shortages. N…
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
Huan Wang, Haoran Li, Huaming Chen +3
Federated learning aims at training models collaboratively across participants while protecting privacy. However, one major challenge for this paradigm is the data heterogeneity is…
Engineering Blockchain Based Software Systems: Foundations, Survey, and Future Directions
Mahdi Fahmideh, John Grundy, Aakash Ahmed +8
Many scientific and practical areas have shown increasing interest in reaping the benefits of blockchain technology to empower software systems. However, the unique characteristics…
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
Zhiyu Zhu, Huaming Chen, Xinyi Wang +5
Adversarial generative models, such as Generative Adversarial Networks (GANs), are widely applied for generating various types of data, i.e., images, text, and audio. Accordingly,…
TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT
Marawan Elbatel, Mohamed Ghonim, Jiaji Mao +62
Automated segmentation of liver lesions on non-contrast computed tomography (NCCT) is clinically important but fundamentally challenging, particularly in low-resource settings acro…
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
Yuxi Liu, Zhenhao Zhang, Shaowen Qin +4
The Intensive Care Unit (ICU) is one of the most important parts of a hospital, which admits critically ill patients and provides continuous monitoring and treatment. Various patie…
FedSC: Federated Learning with Semantic-Aware Collaboration
Huan Wang, Haoran Li, Huaming Chen +3
Federated learning (FL) aims to train models collaboratively across clients without sharing data for privacy-preserving. However, one major challenge is the data heterogeneity issu…
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Liang Zhang, Qiang Wu, Jun Shen +3
Many studies confirmed that a proper traffic state representation is more important than complex algorithms for the classical traffic signal control (TSC) problem. In this paper, w…
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
Jian Du, Haochong Li, Qi Liao +3
The high-pressure transportation process of pipeline necessitates an accurate hydraulic transient simulation tool to prevent slack line flow and over-pressure, which can endanger p…
An Exploration Study on Developing Blockchain Systems the Practitioners Perspective
Bakheet Aljedaani, Aakash Ahmad, Mahdi Fahmideh +2
Context: Blockchain-based software (BBS) exploits the concepts and technologies popularized by cryptocurrencies offering decentralized transaction ledgers with immutable content fo…
Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach
Yukang Cui, Lingbo Cao, Michael V. Basin +3
This paper studies the distributed resilient output containment control of heterogeneous multiagent systems against composite attacks, including denial-of-services (DoS) attacks, f…
Blockchain Developments and Innovations
Mahdi Fahmideh, Anuradha Gunawardana, Shiping Chen +2
Blockchain has received expanding interest from various domains. Institutions, enterprises, governments, and agencies are interested in Blockchain potential to augment their softwa…
Contrasting Momentum-Selective Spin-Density-Wave Gaps in Bilayer and Trilayer Nickelates
Jun Shu, Jun Shen, Xiaoxiang Zhou +12
Resolving where the density-wave gap opens in momentum space is essential for identifying the microscopic origin of the instability in layered nickelates. Using polarization-resolv…
Dipolar Spin Liquid Ending with Quantum Critical Point in a Gd-based Triangular Magnet
Junsen Xiang, Cheng Su, Ning Xi +12
By performing experiment and model studies on a triangular-lattice dipolar magnet KBaGd(BO) (KBGB), we find the highly frustrated magnet with a planar anisotropy hosts a st…
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
Huan Wang, Haoran Li, Huaming Chen +5
With the advancement of edge computing, federated learning (FL) displays a bright promise as a privacy-preserving collaborative learning paradigm. However, one major challenge for…
Giant and robust topological Hall effect in Chiral Magnet Co7Zn8Mn5
Hai Zeng, Xuanwei Zhao, Guang Yu +8
Recently, \b{eta}-Mn-type Co-Zn-Mn alloys have gained particular attentions as a new class of chiral magnets hosting skyrmion phase. In this work, a giant topological Hall effect(T…
Domain-Skewed Federated Learning with Feature Decoupling and Calibration
Huan Wang, Jun Shen, Jun Yan +1
Federated learning (FL) allows distributed clients to collaboratively train a global model in a privacy-preserving manner. However, one major challenge is domain skew, where client…
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells
Haoran Li, Jiahua Shi, Huaming Chen +5
Artificially generated induced pluripotent stem cells (iPSCs) from somatic cells play an important role for disease modeling and drug screening of neurodegenerative diseases. Astro…
What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification
Guosheng Li, Fenghui Ren, Bin Liu +5
Climate disclosure classification is a fundamental task for analysing corporate climate disclosures, yet such disclosures appear in many different sources -- annual reports, press…
Giant Magnetocaloric Effect in Spin Supersolid Candidate NaBaCo(PO)
Junsen Xiang, Chuandi Zhang, Yuan Gao +16
Supersolid, an exotic quantum state of matter that consists of particles forming an incompressible solid structure while simultaneously showing superfluidity of zero viscosity [1],…
A Hybrid Deep Learning based Carbon Price Forecasting Framework with Structural Breakpoints Detection and Signal Denoising
Runsheng Ren, Jing Li, Yanxiu Li +5
Accurately forecasting carbon prices is essential for informed energy market decision-making, guiding sustainable energy planning, and supporting effective decarbonization strategi…
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
Lehan Wang, Haonan Wang, Honglong Yang +4
Several medical Multimodal Large Languange Models (MLLMs) have been developed to address tasks involving visual images with textual instructions across various medical modalities,…
Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
Haoran Li, Yuxin Lin, Huan Wang +9
Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide, making early and accurate DR grading critical for timely intervention. Recent clinical practices le…
The Singlet-Triplet Gap of Cyclobutadiene: The CIPSI-Driven CC(;) Study
Swati S. Priyadarsini, Karthik Gururangan, Jun Shen +1
An accurate determination of singlet-triplet gaps in biradicals, including cyclobutadiene in the automerization barrier region where one has to balance the substantial nondynamical…
Invariant measures, periodic measures and pullback measure attractors of McKean-Vlasov stochastic reaction-diffusion equations on unbounded domains
Lin Shi, Jun Shen, Kening Lu +1
This paper deals with the long term dynamics of the non-autonomous McKean-Vlasov stochastic reaction-diffusion equations on R^n. We first prove the existence and uniqueness of pull…
Pullback measure attractors and limiting behaviors of McKean-Vlasov stochastic delay lattice systems
Lin Shi, Jun Shen, Kening Lu
We study the long-term behavior of the distribution of the solution process to the non-autonomous McKean-Vlasov stochastic delay lattice system defined on the integer set $\mathbb{…
Beyond Normal References: Discriminative Few-Shot Anomaly Detection
Huan Wang, Jun Shen, Jun Yan +1
This paper considers a practical few-shot anomaly detection (FSAD) setting, termed discriminative FSAD, where a limited number of both normal and anomalous examples are available a…
MetaMorphQ: Physics-Based Metamorphic Testing of Variational Quantum Circuits
Ngoc Nhi Nguyen, John Le, Thai T. Vu +2
Variational Quantum Eigensolvers (VQEs) are central to quantum computing, yet testing them remains challenging due to the oracle problem: the ground-state energy they compute is it…
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
Dequan Wang, Xiaosong Wang, Lilong Wang +12
Foundation models, often pre-trained with large-scale data, have achieved paramount success in jump-starting various vision and language applications. Recent advances further enabl…
Giant Magnetocaloric Effect in a High-Spin Shastry-Sutherland Dipolar Magnet
Jianjian Gong, Junsen Wang, Junsen Xiang +15
The Shastry-Sutherland lattice is a prototypical frustrated quantum magnet. It is notable for its exactly solvable dimer-singlet ground state and hosts a wealth of magnetic phenome…
On the Strong Equivalences of LPMLN Programs
Bin Wang, Jun Shen, Shutao Zhang +1
By incorporating the methods of Answer Set Programming (ASP) and Markov Logic Networks (MLN), LPMLN becomes a powerful tool for non-monotonic, inconsistent and uncertain knowledge…
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
Haoran Li, Xingjian Li, Jiahua Shi +6
Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology facilitating the study of macromolecular structures at near-atomic resolution. Recent volumetric segmentation approach…