Publications (37)
SN 2022vqz: A Peculiar Subluminous Type Ia Supernova with Prominent Early Excess Emission
Gaobo Xi, Xiaofeng Wang, Gaici Li +22
We present extensive photometric and spectroscopic observations of the peculiar Type Ia supernova (SN Ia) 2022vqz. It shares many similarities with the SN 2002es-like SNe Ia, such…
AT 2024wpp: the most luminous fast-evolving optical transient linked to the merger explosion of a black-hole binary
Jialian Liu, Bao Wang, Xiaofeng Wang +48
Fast blue optical transients (FBOTs) represent one of the most exotic astrophysical transients, exhibiting unusually strong emission across X-ray, optical, and radio wavelengths. T…
Minute-cadence Observations of the LAMOST Fields with the TMTS: III. Statistic Study of the Flare Stars from the First Two Years
Qichun Liu, Jie Lin, Xiaofeng Wang +22
Tsinghua University-Ma Huateng Telescopes for Survey (TMTS) aims to detect fast-evolving transients in the Universe, which has led to the discovery of thousands of short-period var…
The Peculiar Transient AT2018cow: A Possible Origin of A Type Ibn/IIn Supernova
Danfeng Xiang, Xiaofeng Wang, Weili Lin +47
We present our photometric and spectroscopic observations on the peculiar transient AT2018cow. The multi-band photometry covers from peak to 70 days and the spectroscopy rang…
SN 2022erq: A Superluminous Thermonuclear Supernova with Escalating Preexplosion Mass Loss
Qian Zhai, Jujia Zhang, Xiaofeng Wang +51
We present a photometric and spectroscopic study of the superluminous Type Ia supernova SN 2022erq. Its early spectra, dominated by iron-group elements with weak intermediate-mass…
Learning MRI Artifact Removal With Unpaired Data
Siyuan Liu, Kim-Han Thung, Liangqiong Qu +3
Retrospective artifact correction (RAC) improves image quality post acquisition and enhances image usability. Recent machine learning driven techniques for RAC are predominantly ba…
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Yue Sun, Kun Gao, Zhengwang Wu +30
To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gr…
A Superluminous Supernova Lightened by Collisions with Pulsational Pair-instability Shells
Weili Lin, Xiaofeng Wang, Lin Yan +23
Superluminous supernovae are among the most energetic stellar explosions in the Universe, but their energy sources remain an open question. Here we present long-term observations o…
Observations of the Very Young Type Ia Supernova 2019np with Early-excess Emission
Hanna Sai, Xiaofeng Wang, Nancy Elias-Rosa +30
Early-time radiative signals from type Ia supernovae (SNe Ia) can provide important constraints on the explosion mechanism and the progenitor system. We present observations and an…
SN 2015bf: a fast declining type II supernova with flash-ionised signatures
Han Lin, Xiaofeng Wang, Jujia Zhang +19
We present optical and ultraviolet photometry, as well as optical spectra, for the type II supernova (SN) 2015bf. Our observations cover the phases from to d af…
Minute-cadence Observations of the LAMOST Fields with the TMTS: I. Methodology of Detecting Short-period Variables and Results from the first-year Survey
Jie Lin, Xiaofeng Wang, Jun Mo +18
Tsinghua University-Ma Huateng Telescopes for Survey (TMTS), located at Xinglong Station of NAOC, has a field of view upto 18 deg^2. The TMTS has started to monitor the LAMOST sky…
Supernova luminosity powered by magnetar-disk system
Weili Lin, Xiaofeng Wang, Lingjun Wang +1
Magnetars are one of the potential power sources for some energetic supernova explosions such as type I superluminous supernovae (SLSNe I) and broad-lined type Ic supernovae (SNe I…
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
Yunzhi Huang, Sahar Ahmad, Luyi Han +6
Missing scans are inevitable in longitudinal studies due to either subject dropouts or failed scans. In this paper, we propose a deep learning framework to predict missing scans fr…
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub +4
Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analys…
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks
Siyuan Liu, Kim-Han Thung, Weili Lin +2
In this paper, we introduce an image quality assessment (IQA) method for pediatric T1- and T2-weighted MR images. IQA is first performed slice-wise using a nonlocal residual neural…
A Shock Flash Breaking Out of a Dusty Red Supergiant
Gaici Li, Maokai Hu, Wenxiong Li +41
Shock breakout emission is light that arises when a shockwave, generated by core-collapse explosion of a massive star, passes through its outer envelope. Hitherto, the earliest det…
ASASSN-14ms:the Most Energetic Known Explosion of a Type Ibn Supernova and its Physical Origin
Xiaofeng Wang, Weili Lin, Jujia Zhang +14
ASASSN-14ms may represent the most luminous Type Ibn supernova (SN~Ibn) ever detected, with an absolute U-band magnitude brighter than -22.0 mag and a total bolometric luminosity >…
Minute-Cadence Observations of the LAMOST Fields with the TMTS V. Machine Learning Classification of TMTS Catalogues of Periodic Variable Stars
Fangzhou Guo, Jie Lin, Xiaofeng Wang +17
Periodic variables are always of great scientific interest in astrophysics. Thanks to the rapid advancement of modern large-scale time-domain surveys, the number of reported variab…
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)
Yoonmi Hong, Wei-Tang Chang, Geng Chen +4
Diffusion MRI (dMRI) is a unique imaging technique for in vivo characterization of tissue microstructure and white matter pathways. However, its relatively long acquisition time im…
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy
Xuyun Wen, Liming Hsu, Weili Lin +2
The human brains are organized into hierarchically modular networks facilitating efficient and stable information processing and supporting diverse cognitive processes during the c…
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging
Khoi Minh Huynh, Tiantian Xu, Ye Wu +7
During the first years of life, the human brain undergoes dynamic spatially-heterogeneous changes, involving differentiation of neuronal types, dendritic arborization, axonal ingro…
Minute-Cadence Observations of the LAMOST Fields with the TMTS: II. Catalogues of Short-Period Variable Stars from the First Two-Year Surveys
Jie Lin, Xiaofeng Wang, Jun Mo +25
Over the past few years, wide-field time-domain surveys like ZTF and OGLE have led to discoveries of various types of interesting short-period stellar variables, such as ultracompa…
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space
Geng Chen, Bin Dong, Yong Zhang +3
Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions…
Spherical U-Net on Cortical Surfaces: Methods and Applications
Fenqiang Zhao, Shunren Xia, Zhengwang Wu +6
Convolutional Neural Networks (CNNs) have been providing the state-of-the-art performance for learning-related problems involving 2D/3D images in Euclidean space. However, unlike i…
Spectral Dataset of Stripped-Envelope Supernovae from the Tsinghua Supernova Group
Danfeng Xiang, Xiaofeng Wang, Jujia Zhang +40
The extent of envelope stripping in the progenitor stars is directly reflected in the diversity of spectral features observed in stripped-envelope supernovae (SESNe). Through exten…
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
Michalis Pistos, Gang Li, Weili Lin +2
The understanding of the convoluted evolution of infant brain networks during the first postnatal year is pivotal for identifying the dynamics of early brain connectivity developme…
An 18.9-minute Blue Large-Amplitude Pulsator Crossing the 'Hertzsprung Gap' of Hot Subdwarfs
Jie Lin, Chengyuan Wu, Xiaofeng Wang +28
Blue large-amplitude pulsators (BLAPs) represent a new and rare class of hot pulsating stars with unusually large amplitudes and short periods. Up to now, only 24 confirmed BLAPs h…
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang, Pew-Thian Yap, Weili Lin +2
Unsupervised domain adaptation (UDA) via deep learning has attracted appealing attention for tackling domain-shift problems caused by distribution discrepancy across different doma…
SN 2014C: a metamorphic supernova exploded in the intricate and hydrogen-rich surroundings
Qian Zhai, Jujia Zhang, Weili Lin +6
We present photometric and spectroscopic observations of supernova (SN) 2014C, primarily emphasizing the initial month after the explosion at approximately daily intervals. During…
Discovery of the Closest Ultrastripped Supernova: SN 2021agco in UGC 3855
Shengyu Yan, Xiaofeng Wang, Xing Gao +16
We present the discovery and studies of the helium-rich, fast-evolving supernova (SN) 2021agco at a distance of 40 Mpc. Its early-time flux is found to rise from half peak t…
A spectral data release for 104 Type II Supernovae from the Tsinghua Supernova Group
Han Lin, Xiaofeng Wang, Jujia Zhang +33
We present 206 unpublished optical spectra of 104 type II supernovae obtained by the Xinglong 2.16m telescope and Lijiang 2.4m telescope during the period from 2011 to 2018, spanni…
Optical and Ultraviolet Monitoring of the Black Hole X-ray Binary MAXI J1820+070/ASASSN-18ey for 18 Months
Hanna Sai, Xiaofeng Wang, Jianfeng Wu +20
MAXI J1820+070 is a low-mass black hole X-ray binary system with high luminosity in both optical and X-ray bands during the outburst periods. We present extensive photometry in X-r…
Light curves of the explosion of ONe WD+CO WD merger remnant and type Icn supernovae
Chengyuan Wu, Shuai Zha, Yongzhi Cai +6
Type Icn supernovae (SNe Icn) are a newly detected rare subtype of interacting stripped-envelope supernovae which show narrow P-Cygni lines of highly ionized carbon, oxygen, and ne…
Navigator-Free Submillimeter Diffusion Imaging using Multishot-encoded Simultaneous Multi-slice (MUSIUM)
Wei-Tang Chang, Khoi Minh Huynh, Pew-Thian Yap +1
The ability to achieve submillimter isotropic resolution diffusion MR imaging (dMRI) is critically important to study fine-scale brain structures, particularly in the cortex. One o…
FRNET: Flattened Residual Network for Infant MRI Skull Stripping
Qian Zhang, Li Wang, Xiaopeng Zong +3
Skull stripping for brain MR images is a basic segmentation task. Although many methods have been proposed, most of them focused mainly on the adult MR images. Skull stripping for…
Minute-Cadence Observations of the LAMOST Fields with the TMTS: IV -- Catalog of Cataclysmic Variables from the First 3-yr Survey
Qichun Liu, Jie Lin, Xiaofeng Wang +24
The Tsinghua University--Ma Huateng Telescopes for Survey (TMTS) started to monitor the LAMOST plates in 2020, leading to the discovery of numerous short-period eclipsing binaries,…
Multiscale adaptive smoothing models for the hemodynamic response function in fMRI
Jiaping Wang, Hongtu Zhu, Jianqing Fan +2
In the event-related functional magnetic resonance imaging (fMRI) data analysis, there is an extensive interest in accurately and robustly estimating the hemodynamic response funct…