Yining Hong | DeepAI

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Featured Co-authors

Liang Lin
216 publications
Xiaodan Liang
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Joshua B. Tenenbaum
180 publications
Antonio Torralba
148 publications
Song-Chun Zhu
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Chuang Gan
115 publications
Qing Li
108 publications
Yixin Chen
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Leonidas J. Guibas
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Yilun Du
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Ying Nian Wu
53 publications

∙ 07/24/2023

3D-LLM: Injecting the 3D World into Large Language Models

Large language models (LLMs) and Vision-Language Models (VLMs) have been...

0 Yining Hong, et al. ∙

∙ 03/20/2023

3D Concept Learning and Reasoning from Multi-View Images

Humans are able to accurately reason in 3D by gathering multi-view obser...

0 Yining Hong, et al. ∙

∙ 07/13/2022

3D Concept Grounding on Neural Fields

In this paper, we address the challenging problem of 3D concept groundin...

5 Yining Hong, et al. ∙

∙ 05/05/2022

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

This paper studies the problem of fixing malfunctional 3D objects. While...

15 Yining Hong, et al. ∙

∙ 12/09/2021

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning

A critical aspect of human visual perception is the ability to parse vis...

28 Yining Hong, et al. ∙

∙ 07/03/2021

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks

Previous math word problem solvers following the encoder-decoder paradig...

0 Jinghui Qin, et al. ∙

∙ 03/24/2021

VLGrammar: Grounded Grammar Induction of Vision and Language

Cognitive grammar suggests that the acquisition of language grammar is g...

0 Yining Hong, et al. ∙

∙ 12/27/2020

SMART: A Situation Model for Algebra Story Problems via Attributed Grammar

Solving algebra story problems remains a challenging task in artificial ...

0 Yining Hong, et al. ∙

∙ 12/19/2020

Learning by Fixing: Solving Math Word Problems with Weak Supervision

Previous neural solvers of math word problems (MWPs) are learned with fu...

0 Yining Hong, et al. ∙

∙ 07/03/2020

A Competence-aware Curriculum for Visual Concepts Learning via Question Answering

Humans can progressively learn visual concepts from easy to hard questio...

8 Qing Li, et al. ∙

∙ 06/11/2020

Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning

The goal of neural-symbolic computation is to integrate the connectionis...

16 Qing Li, et al. ∙

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