249 citations · 793 across the 63 of their papers we have counts for
22 papers · 1 filter
Influence of magnetic reconnection on the eruptive catastrophes of coronal magnetic flux ropes
Quanhao Zhang, Xin Cheng, Rui Liu +3
Large-scale solar eruptive activities have a close relationship with coronal magnetic flux ropes. Previous numerical studies have found that the equilibrium of a coronal flux rope…
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence
Wang Qi, Rui Liu, Yuan Zuo +2
Creating an essay based on a few given topics is a challenging NLP task. Although several effective methods for this problem, topic-to-essay generation, have appeared recently, the…
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu, Ruikang Liu, Shuo Yang +2
The real-world data tends to be heavily imbalanced and severely skew the data-driven deep neural networks, which makes Long-Tailed Recognition (LTR) a massive challenging task. Exi…
Investigating pre-eruptive magnetic properties at the footprints of erupting magnetic flux ropes
Wensi Wang, Jiong Qiu, Rui Liu +4
It is well established that solar eruptions are powered by free magnetic energy stored in current-carrying magnetic field in the corona. It has also been generally accepted that ma…
Formation and Eruption of Hot Channels during an M6.5 Class Solar Flare
Yanjie Liu, Yingna Su, Rui Liu +3
We investigate the formation and eruption of hot channels associated with the M6.5 class flare (SOL2015-06-22T18:23) occurring in NOAA AR 12371 on 2015 June 22. Two flare precursor…
Solar Ring Mission: Building a Panorama of the Sun and Inner-heliosphere
Yuming Wang, Xianyong Bai, Changyong Chen +50
Solar Ring (SOR) is a proposed space science mission to monitor and study the Sun and inner heliosphere from a full 360° perspective in the ecliptic plane. It will deploy three 120…
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Yinghui Li, Shirong Ma, Qingyu Zhou +7
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors. Recent researches start from the pretrained knowledge of language models and take multimodal inform…
FastQSL: A Fast Computation Method for Quasi-separatrix Layers
Peijin Zhang, Jun Chen, Rui Liu +1
Magnetic reconnection preferentially takes place at the intersection of two separatrices or two quasi-separatrix layers, which can be quantified by the squashing factor Q, whose ca…
Aiming in Harsh Environments: A New Framework for Flexible and Adaptive Resource Management
Jiaqi Zou, Rui Liu, Chenwei Wang +4
The harsh environment imposes a unique set of challenges on networking strategies. In such circumstances, the environmental impact on network resources and long-time unattended mai…
Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System
Mingjie Li, Rui Liu, Guangsi Shi +5
Long-term time-series forecasting (LTSF) is fundamental to various real-world applications, where Transformer-based models have become the dominant framework due to their ability t…
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…
Transformer with Memory Replay
Rui Liu, Barzan Mozafari
Transformers achieve state-of-the-art performance for natural language processing tasks by pre-training on large-scale text corpora. They are extremely compute-intensive and have v…
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
Jiangnan Li, Fandong Meng, Zheng Lin +5
Conversational Causal Emotion Entailment aims to detect causal utterances for a non-neutral targeted utterance from a conversation. In this work, we build conversations as graphs t…
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Rui Liu, Young Jin Kim, Alexandre Muzio +1
Sparsely activated transformers, such as Mixture of Experts (MoE), have received great interest due to their outrageous scaling capability which enables dramatical increases in mod…
Peng Cheng Object Detection Benchmark for Smart City
Yaowei Wang, Zhouxin Yang, Rui Liu +4
Object detection is an algorithm that recognizes and locates the objects in the image and has a wide range of applications in the visual understanding of complex urban scenes. Exis…
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Dayang Wang, Fenglei Fan, Zhan Wu +3
Low-dose computed tomography (LDCT) denoising is an important problem in CT research. Compared to the normal dose CT (NDCT), LDCT images are subjected to severe noise and artifacts…
The Rotation of Magnetic Flux Rope Formed during Solar Eruption
Zhenjun Zhou, Chaowei Jiang, Rui Liu +3
The eruptions of solar filaments often show rotational motion about their rising direction, but it remains elusive what mechanism governs such rotation and how the rotation is rela…
An experimental study of morphological formation in bilayered tubular structures driven by swelling/growth
Rui-Cheng Liu, Lishuai Jin, Zongxi Cai +1
This paper presents an experimental investigation on pattern formation and evolution in bilayered tubular organs using swelling deformation of polydimethylsiloxane (PDMS) and aims…
TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation
Ruiping Liu, Kailun Yang, Alina Roitberg +5
Semantic segmentation benchmarks in the realm of autonomous driving are dominated by large pre-trained transformers, yet their widespread adoption is impeded by substantial computa…
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems
Bowei He, Zhenting Zhao, Wenhao Luo +1
A multi-robot system (MRS) is a group of coordinated robots designed to cooperate with each other and accomplish given tasks. Due to the uncertainties in operating environments, th…
Federated Graph Neural Networks: Overview, Techniques and Challenges
Rui Liu, Pengwei Xing, Zichao Deng +3
With its capability to deal with graph data, which is widely found in practical applications, graph neural networks (GNNs) have attracted significant research attention in recent y…
Smart Power Supply for UAV Agility Enhancement Using Deep Neural Networks
Yanze Liu, Xuhui Chen, Yanhai Du +1
Recently unmanned aerial vehicles (UAV) have been widely deployed in various real-world scenarios such as disaster rescue and package delivery. Many of these working environments a…