activity
20192023
most citedShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

79 citations · 285 across the 30 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 4 cited

Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning

Kaiwen Wang, Travis Dick, Maria-Florina Balcan

This paper introduces the first provably accurate algorithms for differentially private, top-down decision tree learning in the distributed setting (Balcan et al., 2012). We propos…

cs.CV2020★ 2 cited

Interpretable Visual Reasoning via Induced Symbolic Space

Zhonghao Wang, Kai Wang, Mo Yu +4

We study the problem of concept induction in visual reasoning, i.e., identifying concepts and their hierarchical relationships from question-answer pairs associated with images; an…

cs.GR2020★ 79 cited

ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis

R. Kenny Jones, Theresa Barton, Xianghao Xu +5

Manually authoring 3D shapes is difficult and time consuming; generative models of 3D shapes offer compelling alternatives. Procedural representations are one such possibility: the…

cs.CL2020★ 6 cited

Multi-Domain Dialogue Acts and Response Co-Generation

Kai Wang, Junfeng Tian, Rui Wang +2

Generating fluent and informative responses is of critical importance for task-oriented dialogue systems. Existing pipeline approaches generally predict multiple dialogue acts firs…

cs.CL2020★ 48 cited

Relational Graph Attention Network for Aspect-based Sentiment Analysis

Kai Wang, Weizhou Shen, Yunyi Yang +2

Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network model…