Publications (14)
Star-forming Main Sequence of Giant Low Surface Brightness Galaxies
Wei Du, Cheng Cheng, Pengliang Du +2
Giant Low Surface Brightness Galaxies (GLSBGs) are fundamentally distinct from normal galaxies (LSBGs) in star formation and evolution. In this work, we collected 27 local GLSBGs.…
REALM: Retrospective Encoder Alignment for LFP Modeling
Peicheng Wu, Zhenyu Bu, Runze Ma +1
Spike activity has been the dominant neural signal for behavior decoding due to its high spatial and temporal resolution. However, as brain-computer interfaces (BCIs) move toward h…
Almost Optically Dark Galaxies in DECaLS (I): Detection, Optical Properties and Possible Origins
Lin Du, Wei Du, Cheng Cheng +3
We report the discovery of eight optical counterparts of ALFALFA extragalactic objects from DECaLS, five of which are discovered for the first time. These objects were flagged as H…
Yeast caspase 1 suppresses the burst of reactive oxygen species and maintains mitochondrial stability in Saccharomyces cerevisiae
Lin Du, Xiaodan Huang, Jian Tan +2
Caspases are a family of cysteine proteases that play essential roles during apoptosis, and we presume some of them may also protect the cell from oxidative stress. We found that t…
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
Lin Du, Lu Bai, Jincheng Li +5
Graph Neural Networks (GNNs) have emerged as a dominant paradigm for graph classification. Specifically, most existing GNNs mainly rely on the message passing strategy between neig…
Residual-Based Multi-peak Sampling Algorithm in Inverse Problems of Dynamical Systems
Xiao-Kai An, Lin Du, Zi-Chen Deng +1
Stochastic differential equations can describe a wide range of dynamical systems, and obtaining the governing equations of these systems is the premise of studying the nonlinear dy…
Polymer-modulated evaporation flow enables scalable self-assembly of highly aligned nanowires
Liyiming Tao, Zechao Jiang, Shiyuan Hu +7
Highly aligned nanowire networks are essential for enabling anisotropic optical, electrical, and sensing functionalities in next-generation devices. However, achieving such alignme…
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Guangyao Chen, Peixi Peng, Li Ma +3
Recently, the generalization behavior of Convolutional Neural Networks (CNN) is gradually transparent through explanation techniques with the frequency components decomposition. Ho…
Optical Observations of the Nearby Type Ia Supernova 2021hpr
Yu Zhang, Tianmeng Zhang, Danzengluobu +6
We present the optical photometric and spectroscopic observations of the nearby Type Ia supernova (SN) 2021hpr. The observations covered the phase of 14.37 to +63.68 days relati…
Bi-directional Object-context Prioritization Learning for Saliency Ranking
Xin Tian, Ke Xu, Xin Yang +3
The saliency ranking task is recently proposed to study the visual behavior that humans would typically shift their attention over different objects of a scene based on their degre…
An FUor-like Outbursting Class I Protostar in NGC 7538
Aidi Fang, Zhiwei Chen, Lin Du +1
We report on the discovery of an FUor-like Class I protostar in NGC~7538. The source, named NGC~7538~MIR, exhibited a giant luminosity burst () and a prolonged high-lum…
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Yutao Yang, Junsong Li, Qianjun Pan +9
In practical LLM applications, users repeatedly express stable preferences and requirements, such as reducing hallucinations, following institutional writing conventions, or avoidi…
The Mini-SiTian Array: Evaluation Camera System
Yu Zhang, Lin Du, Yi Hu +7
The Mini-SiTian project, which is the pathfinder for the SiTian project, utilizes three 30 cm telescopes equipped with commercial CMOS cameras (ZWO ASI6200MM Pro) to simulate large…
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer
Wenqi Zhao, Liangcai Gao, Zuoyu Yan +3
Encoder-decoder models have made great progress on handwritten mathematical expression recognition recently. However, it is still a challenge for existing methods to assign attenti…