Lihan Tang

Ms. Lihan Tang

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 June 2025 in Remote Sensing
Verified
Journal Article
Open access
PDF file
MSMengyuan Sun
Mengyuan Sun
LWLiejun Wang
Liejun Wang
SJShaochen Jiang
Shaochen Jiang
SCShuli Cheng
Shuli Cheng
Lihan TangLihan Tang
Lihan Tang
Deep learning has recently achieved remarkable progress in hyperspectral image (HSI) classification. Among these advancements, the Transformer-based models have gained considerable attention due to their ability to establish long-range dependencies. However, the quadratic computational complexity of the self-attention mechanism limits its application in hyperspectral image classification (HSIC). Recently, the Mamba architecture has shown outstanding performance in 1D sequence modeling tasks owing to its lightweight linear sequence operations and efficient parallel scanning capabilities. Nevertheless, its application in HSI classification still faces challenges. Most existing Mamba-based approaches adopt various selective scanning strategies for HSI serialization, ensuring the adjacency of scanning sequences to enhance spatial continuity. However, these methods lead to substantially increased computational overhead. To overcome these challenges, this study proposes the Hyperspectral Spatial Mamba (HyperSMamba) model for HSIC, aiming to reduce computational complexity while improving classification performance. The suggested framework consists of the following key components: (1) a Multi-Scale Spatial Mamba (MS-Mamba) encoder, which refines the state-space model (SSM) computation by incorporating a Multi-Scale State Fusion Module (MSFM) after the state transition equations of original SSMs. This module aggregates adjacent state representations to reinforce spatial dependencies among local features; (2) our proposed Adaptive Fusion Attention Module (AFAttention) to dynamically fuse bidirectional Mamba outputs for optimizing feature representation. Experiments were performed on three HSI datasets, and the findings demonstrate that HyperSMamba attains overall accuracy of 94.86%, 97.72%, and 97.38% on the Indian Pines, Pavia University, and Salinas datasets, while maintaining low computational complexity. These results confirm the model’s effectiveness and potential for practical application in HSIC tasks.

1 July 2022 in American Journal of Infection Control
Verified
Journal Article
Closed access
AOAngie Owings
Angie Owings
LCLori Christion
Lori Christion
CGCraig Gilliam
Craig Gilliam
BGBethany Glover
Bethany Glover
SBShalini Bhatia
Shalini Bhatia
HHHana Hakim
Hana Hakim

3 February 2014
Verified
Report
Open access
HCHector Conroy
Hector Conroy
JPJohanna Ramos Piracoca
Johanna Ramos Piracoca
Lihan TangLihan Tang
Lihan Tang
ARAna Ramirez-Goldin
Ana Ramirez-Goldin
Este documento es el primero de seis informes detallados que acompañan la Evaluación Comparativa de los Proyectos de Regularización y Administración de Tierras llevada a cabo por la Oficina de Evaluación y Supervisión (OVE). Este primer anexo pretende explicar los conceptos principales sobre los temas de administración y regulación de tierras y exponer sus riesgos y beneficios.

25 February 2022
Verified
Conference Paper
Closed access
Lihan TangLihan Tang
Lihan Tang
XTXuehua Tang
Xuehua Tang
ZZZhiyong Zhou
Zhiyong Zhou
In view of the stress of people's life in modern life, they frequently suffer from mental illness, such as depression, autism, mental illness and a series of problems. A design of an embedded real-time controllable multi-channel transcranial DC stimulator system based on STM32 is proposed. The DC stimulator is controlled by the STM32 microcontroller, which integrates the power supply module, communication module, impedance monitoring module, etc. Intelligent algorithms are used to optimize human-machine interaction in software design. The user can adjust the treatment parameters through the relevant control interface and intelligent treatment through a combination of treatment channels and treatment modes.

1 January 2019 in Journal of Pediatric Hematology/Oncology
Verified
Journal Article
Open access
Diego Raul HijanoDiego Raul Hijano
Diego Raul Hijano
DODaniel Otterson
Daniel Otterson
MHMaysam R. Homsi
Maysam R. Homsi
YSYin Su
Yin Su
Lihan TangLihan Tang
Lihan Tang
MCMiguela Ayala CANIZA
Miguela Ayala CANIZA
Brown recluse spider bites can cause local and systemic signs, including rash, dermonecrosis, edema, hemolysis, and acute kidney failure. These are mostly attributed to sphingomyelinase D, the main toxin. To evaluate the severity of the disease in pediatric patients with and without neutropenia, we retrospectively reviewed records of patients treated at St. Jude Children’s Research Hospital between 1970 and 2015 and identified 19 patients who met the inclusion criteria. Variables of interest included the type of underlying illness, presence of neutropenia, number of days of hospitalization, disease signs and outcome of the bite, and treatments administered. We used descriptive statistics to summarize the manifestations and severity of spider bites in patients with and without neutropenia. Six patients experienced pain from the bite, 11 had erythema, 7 developed edema, and 5 had fever. The response to spider bites in neutropenic patients was no milder than that in non-neutropenic individuals. Six patients developed systemic complications. Compared with non-neutropenic patients, neutropenic patients had antibiotics prescribed more often and experienced longer hospital stays. Spider bites do not seem to have a different clinical course in neutropenic patients. Therefore, a conservative approach may be best for these patients, with close monitoring and local wound care.

1 May 2014 in The Journal of Immunology
Verified
Journal Article
Open access
RPRhiannon Penkert
Rhiannon Penkert
Lihan TangLihan Tang
Lihan Tang
PTPaul G Thomas
Paul G Thomas
Jason RoschJason Rosch
Jason Rosch
JHJulia Hurwitz
Julia Hurwitz
JHJane S Hankins
Jane S Hankins
Parvovirus infection, which is typically subclinical in healthy individuals, can have catastrophic effects in patients suffering from sickle cell disease (SCD). Infection disrupts erythropoiesis, often resulting in aplastic crisis and other life-threatening complications in patients with SCD. Attempts to develop a safe and effective parvovirus vaccine have yet to be successful and may be improved by a better understanding of natural immune responses to parvovirus infections. St. Jude Children’s Research Hospital houses one of the largest centers for pediatric SCD in the United States and is therefore uniquely positioned to monitor immune functions in patients with SCD. Here, we describe a retrospective analysis of patient records, examining parvovirus-specific antibody results from a semi-quantitative, commercially-available ELISA as a function of time relative to aplastic crisis. Results showed: (i) frequencies of seropositive immune responses in patients with SCD of various age groups were comparable to those of healthy controls, (ii) parvovirus-specific immune responses were rapidly induced in patients following aplastic crisis, and (iii) responses were generally sustained for years after the aplastic crisis event. Ongoing studies include further dissection of adaptive and innate immune responses toward parvovirus infections in this patient population to help define correlates of protection against parvovirus disease.