11 citations · 19 across the 6 of their papers we have counts for
7 papers
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
Yining Hong, Kaichun Mo, Li Yi +4
This paper studies the problem of fixing malfunctional 3D objects. While previous works focus on building passive perception models to learn the functionality from static 3D object…
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…
VLGrammar: Grounded Grammar Induction of Vision and Language
Yining Hong, Qing Li, Song-Chun Zhu +1
Cognitive grammar suggests that the acquisition of language grammar is grounded within visual structures. While grammar is an essential representation of natural language, it also…
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
Yining Hong, Qing Li, Ran Gong +3
Solving algebra story problems remains a challenging task in artificial intelligence, which requires a detailed understanding of real-world situations and a strong mathematical rea…
Learning by Fixing: Solving Math Word Problems with Weak Supervision
Yining Hong, Qing Li, Daniel Ciao +2
Previous neural solvers of math word problems (MWPs) are learned with full supervision and fail to generate diverse solutions. In this paper, we address this issue by introducing a…
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
Qing Li, Siyuan Huang, Yining Hong +1
Humans can progressively learn visual concepts from easy to hard questions. To mimic this efficient learning ability, we propose a competence-aware curriculum for visual concept le…