Publications (21)
Research on the Crystal Growth, Band Structure and Luminescence Mechanism of (CH3NH3)2HgI4
Linlin Liu, Zuanquan Chen, Wensi Yang +2
Nuclear radiation detectors play a crucial role in fields such as nuclear safety and medical imaging. The core of their performance lies in the selection of detection materials. Se…
Hierarchical Vectorization for Portrait Images
Qian Fu, Linlin Liu, Fei Hou +1
Aiming at developing intuitive and easy-to-use portrait editing tools, we propose a novel vectorization method that can automatically convert raster images into a 3-tier hierarchic…
An associative analogy of Lie H-pseudobialgebra
Linlin Liu, Zhitao Guo
The purpose of this paper is to study infinitesimal H-pseudobialgebra, which is an associative analogy of Lie H-pseudobialgebra. We first define the infinitesimal H-pseudobialgebra…
Is GPT-3 a Good Data Annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu +4
Data annotation is the process of labeling data that could be used to train machine learning models. Having high-quality annotation is crucial, as it allows the model to learn the…
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
Linlin Liu, Xin Li, Ruidan He +3
Knowledge-enhanced language representation learning has shown promising results across various knowledge-intensive NLP tasks. However, prior methods are limited in efficient utiliz…
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
Linlin Liu, Thien Hai Nguyen, Shafiq Joty +2
Cross-lingual word embeddings (CLWE) have been proven useful in many cross-lingual tasks. However, most existing approaches to learn CLWE including the ones with contextual embeddi…
Associative -pseudoalgebras with a semigroup
Linlin Liu, Huihui Zheng
Family algebraic structures indexed by a semigroup arise naturally in renormalizations of quantum field theory. In this paper, we first define the notion of -associative -ps…
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Linlin Liu, Xingxuan Li, Megh Thakkar +4
Due to the huge amount of parameters, fine-tuning of pretrained language models (PLMs) is prone to overfitting in the low resource scenarios. In this work, we present a novel metho…
Generic Cryo-CMOS Device Modeling and EDACompatible Platform for Reliable Cryogenic IC Design
Zhidong Tang, Zewei Wang, Yumeng Yuan +15
This paper outlines the establishment of a generic cryogenic CMOS database in which key electrical parameters and transfer characteristics of the MOSFETs are quantified as function…
The dominance of big teams in China's scientific output
Linlin Liu, Jianfei Yu, Junming Huang +2
Modern science is dominated by scientific productions from teams. A recent finding shows that teams with both large and small sizes are essential in research, prompting us to analy…
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
Ruidan He, Linlin Liu, Hai Ye +6
Adapter-based tuning has recently arisen as an alternative to fine-tuning. It works by adding light-weight adapter modules to a pretrained language model (PrLM) and only updating t…
A paper's corresponding affiliation and first affiliation are consistent at the country level in Web of Science
Jianfei Yu, Chunxiao Yin, Linlin Liu +1
The purpose of this study is to explore the relationship between the first affiliation and the corresponding affiliation at the different levels via the scientometric analysis We s…
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework
Dongliang Zhou, Haijun Zhang, Kai Yang +5
The field of fashion compatibility learning has attracted great attention from both the academic and industrial communities in recent years. Many studies have been carried out for…
Two-Dimensional Graphene-like BeO Sheet: A Promising Deep-Ultraviolet Nonlinear Optical Materials System with Strong and Highly Tunable Second Harmonic Generation
Linlin Liu, Congwei Xie, Abudukadi Tudi +2
Two-dimensional (2D) materials with large band gaps and strong and tunable second-harmonic generation (SHG) coefficients play an important role in the miniaturization of deep-ultra…
Pressured-induced superconductivity extending across the topological phase transition in thallium-based topological materials TlBi(S1-xSex)2
Cuiying Pei, Peihao Huang, Peng Zhu +15
The coexistence of superconductivity and topology holds the potential to realize exotic quantum states of matter. Here we report that superconductivity induced by high pressure in…
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
Bosheng Ding, Linlin Liu, Lidong Bing +5
Data augmentation techniques have been widely used to improve machine learning performance as they enhance the generalization capability of models. In this work, to generate high q…
Reversible fully spin polarization in strain-engineered two-dimensional fully compensated magnets
Xiuli Zhang, Peng Jiang, Yurui Ma +6
Achieving controllable spin polarization and its reversal in symmetry-compensated magnets. Here we demonstrate, using symmetry analysis and a minimal tight-binding model, that unia…
Rota-Baxter coalgebras and Rota-Baxter bialgebras
Tianshui Ma, Linlin Liu
We give a construction of Rota-Baxter coalgebras from Hopf module coalgebras and also derive the structures of the pre-Lie coalgebras via Rota-Baxter coalgebras of different weight…
Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scans
Lixing Tan, Shuang Song, Kangneng Zhou +6
X-ray images play a vital role in the intraoperative processes due to their high resolution and fast imaging speed and greatly promote the subsequent segmentation, registration and…
Hierarchical Pointer Net Parsing
Linlin Liu, Xiang Lin, Shafiq Joty +2
Transition-based top-down parsing with pointer networks has achieved state-of-the-art results in multiple parsing tasks, while having a linear time complexity. However, the decoder…
Flexible Portrait Image Editing with Fine-Grained Control
Linlin Liu, Qian Fu, Fei Hou +1
We develop a new method for portrait image editing, which supports fine-grained editing of geometries, colors, lights and shadows using a single neural network model. We adopt a no…