4 citations · 12 across the 7 of their papers we have counts for
11 papers
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin +4
Geometry problem solving is a well-recognized testbed for evaluating the high-level multi-modal reasoning capability of deep models. In most existing works, two main geometry probl…
Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy
Shanshan Zhong, Wushao Wen, Jinghui Qin +1
More and more empirical and theoretical evidence shows that deepening neural networks can effectively improve their performance under suitable training settings. However, deepening…
Single- & double-strangeness hypernuclei up to within chiral effective field theory
H. Le
We investigate and hypernuclei with employing the Jacobi-NCSM approach and in combination with baryon-baryon interactions derived within the frame work of chira…
Switchable Self-attention Module
Shanshan Zhong, Wushao Wen, Jinghui Qin
Attention mechanism has gained great success in vision recognition. Many works are devoted to improving the effectiveness of attention mechanism, which finely design the structure…
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
Jinghui Qin, Xiaodan Liang, Yining Hong +2
Previous math word problem solvers following the encoder-decoder paradigm fail to explicitly incorporate essential math symbolic constraints, leading to unexplainable and unreasona…
Content-adaptive Representation Learning for Fast Image Super-resolution
Yukai Shi, Jinghui Qin
Deep convolutional networks have attracted great attention in image restoration and enhancement. Generally, restoration quality has been improved by building more and more convolut…