18 citations · 49 across the 8 of their papers we have counts for
8 papers
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Jiexing Qi, Jingyao Tang, Ziwei He +6
Relational structures such as schema linking and schema encoding have been validated as a key component to qualitatively translating natural language into SQL queries. However, int…
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models
Yunzhuo Liu, Bo Jiang, Tian Guo +4
Training deep learning (DL) models in the cloud has become a norm. With the emergence of serverless computing and its benefits of true pay-as-you-go pricing and scalability, system…
Scientific X-ray
Qi Li, Xinbing Wang, Luoyi Fu +1
The rapid development of modern science and technology has spawned rich scientific topics to research and endless production of literature in them. Just like X-ray imaging in medic…
Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
Luoyi Fu, Huquan Kang, Jianghao Wang +3
The pursuit of knowledge is the permanent goal of human beings. Scientific literature, as the major medium that carries knowledge between scientists, exhibits explosive growth duri…
On the Similarity between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications
Xuecheng Liu, Luoyi Fu, Xinbing Wang +1
The von Neumann graph entropy is a measure of graph complexity based on the Laplacian spectrum. It has recently found applications in various learning tasks driven by networked dat…
Can We `Feel' the Temperature of Knowledge? Modelling Scientific Popularity Dynamics via Thermodynamics
Luoyi Fu, Dongrui Lu, Qi Li +2
Just like everything in the nature, scientific topics flourish and perish. While existing literature well captures article's life-cycle via citation patterns, little is known about…
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
Fangyu Liu, Shuaipeng Li, Liqiang Zhang +4
Semantic parsing of large-scale 3D point clouds is an important research topic in computer vision and remote sensing fields. Most existing approaches utilize hand-crafted features…
A New Insight into Land Use Classification Based on Aggregated Mobile Phone Data
Tao Pei, Stanislav Sobolevsky, Carlo Ratti +2
Land use classification is essential for urban planning. Urban land use types can be differentiated either by their physical characteristics (such as reflectivity and texture) or s…