Publications (22)
Ground Experiments and Performance Evaluation of the Low-Frequency Radio Spectrometer Onboard the Lander of Chang'e-4 Mission
Xinying Zhu, Yan Su, Yicai Ji +6
The Low-Frequency Radio Spectrometer (LFRS) is a scientific payload onboard the Chang'e-4 lunar lander launched in December 2018. The LFRS provides in-situ measurements of the low-…
4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features
Zesheng Li, Wei Yang, Yan Su +5
Postoperative prognostic prediction for colorectal cancer liver metastasis (CRLM) remains challenging due to tumor heterogeneity, dynamic evolution of the hepatic microenvironment,…
Observational constraints on phenomenological emergent dark energy and barotropic dark matter characterized by a constant equation of state parameter
Jianqi Liu, Yanhong Yao, Yan Su +2
We propose a new cosmological model that considers dark matter as a barotropic fluid with a constant equation of state parameter and interprets dark energy as the phenomenological…
Physical Implications and Updated Observational Constraints of the PAge-like Unified Dark Fluid Model
Yan Su, Zhiqi Huang, Yanhong Yao +2
The standard paradigm of cosmology assumes two distinct dark components, namely dark matter and dark energy. However, the necessity of splitting the dark-side world into two sector…
Key drivers of the preference for dynamic dark energy
Zhiqi Huang, Jianqi Liu, Jianfeng Mo +9
Joint analysis of the baryon acoustic oscillations (BAO) measurement by the Dark Energy Spectroscopic Instrument (DESI) first data release, Type Ia supernovae (SNe) of the Dark Ene…
Cosmological constraints on neutrino masses in light of JWST red and massive candidate galaxies
Jianqi Liu, Zhiqi Huang, Yan Su
The overabundance of the red and massive candidate galaxies observed by the James Webb Space Telescope (JWST) implies efficient structure formation or large star formation efficien…
Doppler Boosting and Deboosting Effects in the Forward Relativistic Jets of AGNs and GRBs
Jianfeng Zhou, Yan Su
It is widely accepted that the Doppler deboosting effects exist in counter relativistic jets. However, people often neglect another important fact that both Doppler boosting and de…
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images
Zesheng Li, Minwen Liao, Haoran Chen +3
The hemorrhagic lesion segmentation plays a critical role in ophthalmic diagnosis, directly influencing early disease detection, treatment planning, and therapeutic efficacy evalua…
Developing and characterizing a new-generation regolith simulant "IGCAS-AST01" for the Tianwen-2 target asteroid (469219) Kamo'oalewa
Pengfei Zhang, Zichen Wei, Takahiro Hiroi +12
China plans to return samples from the near-Earth asteroid (469219) Kamo'oalewa, which we previously identified as an LL-chondrite-compositional, highly space-weathered object with…
A PAge-like Unified Dark Fluid Model
Junchao Wang, Zhiqi Huang, Yanhong Yao +3
The unified dark fluid model unifies dark matter and dark energy into a single component, providing an alternative and more concise framework for interpreting cosmological observat…
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments
Iraklis Giannakis, Craig Warren, Antonios Giannopoulos +5
Ground-penetrating radar (GPR) is a mature geophysical method that has gained increasing popularity in planetary science over the past decade. GPR has been utilised both for Lunar…
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering
Wei Yang, Yiran Zhu, Jiayu Shen +5
Diabetic Macular Edema (DME), a prevalent complication among diabetic patients, constitutes a major cause of visual impairment and blindness. Although deep learning has achieved re…
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
Yan Su, Qiulin Wu, Weizhen Li +2
The training of deep learning models relies on a large amount of labeled data. However, the high cost of medical labeling seriously hinders the development of deep learning in the…
Deep learning for in vitro prediction of pharmaceutical formulations
Yilong Yang, Zhuyifan Ye, Yan Su +3
Current pharmaceutical formulation development still strongly relies on the traditional trial-and-error approach by individual experiences of pharmaceutical scientists, which is la…
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
Jie Qin, Wei Yang, Yan Su +5
In breast cancer HER2 assessment, clinical evaluation relies on combined H&E and IHC images, yet acquiring both modalities is often hindered by clinical constraints and cost. We pr…
Equilibrium, social welfare, and revenue in an infinite-server queue
Yan Su
Motivated by the impact of emerging technologies on toll parks, this paper studies a problem of equilibrium, social welfare, and revenue for an infinite-server queue. More specific…
Towards Controllable Low-Light Image Enhancement: A Continuous Multi-illumination Dataset and Efficient State Space Framework
Hongru Han, Tingrui Guo, Liming Zhang +3
Low-light image enhancement (LLIE) has traditionally been formulated as a deterministic mapping. However, this paradigm often struggles to account for the ill-posed nature of the t…
The Deconvolution of Lunar Brightness Temperature based on Maximum Entropy Method using Chang'E-2 Microwave Data
Shuguo Xing, Yan Su, Jianqing Feng +1
A passive and multi-channel microwave sounder onboard Chang'E-2 orbiter has successfully performed microwave observation of the lunar surface and subsurface structure. Compared wit…
A new unified dark sector model and its implications on the and tensions
Yan-Hong Yao, Jian-Qi Liu, Zhi-Qi Huang +2
In this paper, we introduced the Unified Three-Form Dark Sector (UTFDS) model, a unified dark sector model that combines dark energy and dark matter through a three-form field. In…
Observational constraints on phenomenological emergent dark energy and barotropic dark matter characterized by a constant equation of state parameter
Jian-Qi Liu, Yan-Hong Yao, Yan Su +1
While cold dark matter is widely supported by a range of cosmological observations, it encounters several difficulties at smaller scales. These issues have prompted the investigati…
Pitfalls in gpr data interpretation: false reflectors detected in lunar radar cross sections by Chang'e-3
Chunlai Li, Shuguo Xing, Sebastian E. Lauro +9
Chang'e-3(CE-3) has been the first spacecraft to soft-land on the Moon since the Soviet Union's Luna 24 in 1976. The spacecraft arrived at Mare Imbrium on December 14, 2013 and the…
Probing Coronal Activity Using Radio Signals Based on the 2021 superior conjunction of Mars: the Downlink Data from Tianwen-1
Yu-Chen Liu, De-Qing Kong, Song Tan +6
During the first superior conjunction of the Tianwen-1 Mars probe in October 2021, its downlink signal received by the Wuqing 70-m radio telescope passed within 4.53 solar radii of…