papers

Publications (8)

astro-ph.CO2010

A very bright i=16.44 quasar in the `redshift desert' discovered by LAMOST

Xue-Bing Wu, Zhaoyu Chen, Zhendong Jia +18

The redshift range from 2.2 to 3, is known as the 'redshift desert' of quasars because quasars with redshift in this range have similar optical colors as normal stars and are thus…

cs.CR2026

Sponsored Group Signature and its Application to Privacy-preserving Guest Access in Smart Environments

Sepideh Avizheh, Reihaneh Safavi-Naini, Shiwei Sun

Group signatures are privacy preserving signature schemes in which a group member can anonymously sign messages on behalf of the group, while providing accountability, by allowing…

q-bio.BM2019

Seq-SetNet: Exploring Sequence Sets for Inferring Structures

Fusong Ju, Jianwei Zhu, Guozheng Wei +3

Sequence set is a widely-used type of data source in a large variety of fields. A typical example is protein structure prediction, which takes an multiple sequence alignment (MSA)…

q-bio.BM2018

Predicting protein inter-residue contacts using composite likelihood maximization and deep learning

Haicang Zhang, Qi Zhang, Fusong Ju +7

Accurate prediction of inter-residue contacts of a protein is important to calcu- lating its tertiary structure. Analysis of co-evolutionary events among residues has been proved e…

math.AP2025

On the convergence of the no-response test for the heat equation

Shiwei Sun, Gen Nakamura, Haibing Wang

Domain sampling methods called the range test (RT) and no-response test (NRT), and their duality are known for several inverse scattering problems and an inverse boundary value pro…

astro-ph.CO2010

Eight new quasars discovered by LAMOST in one extragalactic field

Xue-Bing Wu, Zhendong Jia, Zhaoyu Chen +18

We report the discovery of eight new quasars in one extragalactic field (five degree centered at RA=, Dec=) with the LAMOST commissioning observation…

cs.LG2024

Improving Molecular Graph Generation with Flow Matching and Optimal Transport

Xiaoyang Hou, Tian Zhu, Milong Ren +4

Generating molecular graphs is crucial in drug design and discovery but remains challenging due to the complex interdependencies between nodes and edges. While diffusion models hav…

math.NA2025

The learned range test method for the inverse inclusion problem

Shiwei Sun, Giovanni S. Alberti

We consider the inverse problem consisting of the reconstruction of an inclusion contained in a bounded domain from a single pair of Cauchy data $(u|_{\…